Next Article in Journal
High-Performanced Hemicellulose Based Organic-Inorganic Films with Polyethyleneimine
Next Article in Special Issue
Accurate Electroadhesion Force Measurements of Electrostrictive Polymers: The Case of High Performance Plasticized Terpolymers
Previous Article in Journal
Advanced Carbon Materials Derived from Polybenzoxazines: A Review
Previous Article in Special Issue
Laser Diode Pumped Polymer Lasers with Tunable Emission Based on Microfluidic Channels
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Contribution of Polymers to Electronic Memory Devices and Applications

Department of Electronic Engineering, Gachon University, Seongnam 1342, Korea
*
Author to whom correspondence should be addressed.
Co-first author, these authors contributed equally to this work.
Polymers 2021, 13(21), 3774; https://doi.org/10.3390/polym13213774
Submission received: 14 October 2021 / Revised: 26 October 2021 / Accepted: 29 October 2021 / Published: 31 October 2021
(This article belongs to the Special Issue Polymer Based Electronic Devices and Sensors)

Abstract

:
Electronic memory devices, such as memristors, charge trap memory, and floating-gate memory, have been developed over the last decade. The use of polymers in electronic memory devices enables new opportunities, including easy-to-fabricate processes, mechanical flexibility, and neuromorphic applications. This review revisits recent efforts on polymer-based electronic memory developments. The versatile contributions of polymers for emerging memory devices are classified, providing a timely overview of such unconventional functionalities with a strong emphasis on the merits of polymer utilization. Furthermore, this review discusses the opportunities and challenges of polymer-based memory devices with respect to their device performance and stability for practical applications.

Graphical Abstract

1. Introduction

Electronics using conventional silicon have been developed and are the core of various forms of modern electronic circuitry. On the other hand, an emerging category of electronic devices using polymers has attracted considerable attention, and extensive efforts have been made for the practical applications of electronic devices [1]. Owing to their solution-processability [2], easy-to-fabricate large-area deposition [3,4], and endurance to mechanical stress [5,6], polymers are considered promising candidate materials for functional devices, such as flexible and wearable thin-film transistors (TFTs) for next-generation soft display products [7] and disposable electronic sensors enabled by a low-cost fabrication process [8].
Among various electronic devices, memory devices, such as flash memory [9,10,11], dynamic random-access memory (DRAM) [11,12], and static random-access memory (SRAM) [13,14], have permeated most applications. Over the past 15 years, efforts have been directed towards the development of functional memory implementation using polymers as critical parts in various memory devices, including floating-gate memory [15,16], ferroelectric memory [17], filament-induced memristors [18,19], and charge-trapping memory [20,21]. Besides that, typical memory operations such as retention and memory switching, new functionalities have been reported in polymer-based memory devices. Optoelectrical switching behaviors, synapse-like operation, embedded memory on flexible/stretchable substrates, and biodegradable memory devices were recently developed, presenting the next-generation memory electronic applications.
This paper provides a timely overview of polymer-based memory devices. This review outlines the clear contribution of polymers to memory devices as a promising new field of investigation. Section 2.1 and Section 2.2 revisit the recent advances in floating-gate and polymer-electret memory devices, focusing on their fundamental operation behaviors and potential applications. Section 2.3 introduces two- and three-terminal ferroelectric memory devices, focusing on the role of polymers. Section 2.4 reviews the recent progress in polymer-based memristors, emphasizing the advantages of using a polymer as the active layer. Section 3.1 introduces the new memory functionality of the optoelectrical memory operation enabled by polymer use in memory devices. Section 3.2 reports a neuromorphic system demonstration using polymer-based memory devices as an emerging application. Section 3.3 introduces mechanically flexible memory integrations using polymers as another polymer-based memory direction. Section 3.4 introduces eco-friendly memory devices using biodegradable polymers.

2. Polymer-Based Memory Devices

2.1. Floating-Gate Memory

Floating-gate using polymers can be classified in various ways according to the material and operating mechanism. Depending on the material, the gates can be divided into organic memory using a metal-floating gate [16,22], nanoparticle polymer floating-gate [23,24], blended polymer [25,26], and nanocrystal floating-gate [27,28].
Metal-floating gates in organic memory devices consist of a floating gate and organic semiconductor. Liu et al. reported a metal floating-gate using poly(4-vinylphenol) (PVP) [16]. A polymer layer of PVP was inserted between the electrode and the channel, where it worked as a tunneling barrier. The on/off switching current ratio was 1500 because the insulating characteristics of ultrathin PVP film cause hysteresis. Baeg et al. used gold as a single metal between the two organics of poly(4-vinyl-phenol (cPVP) and poly[9,9-dioctylfluorenyl-2,7-diyl]-co-(bithiophene)) (F8T2) (Figure 1a) [29]. The optimal layer (22 nm) of the F8T2 floating-gate, compared to the thick (25 nm) or thin (10 nm) layer, prevented metal penetration and increased mobility. Therefore, the on/off switching current ratio increases to more than 104. Zhang et al. made a nano-floating gate using Ag-Pt bimetallic nanoparticles to improve the performance of single metal devices [30]. Bimetal showed better performance than each single device. Ag and Pt nanoparticles tend to trap holes and electrons, respectively. The floating gate in this device was made by depositing pentacene. The polymer shifted the threshold voltage (Vth) as the trap density increased and the device performance decreased. The on/off ratio showed more than 105. On the other hand, maintaining a vacuum state in the manufacturing process brings a complex-to-fabricate process. Hence, as an alternative, Kim et al. reported a memory using reduced graphene oxide (rGO) as a floating gate and inkjet-printed electrodes of poly(3,4-ethylenethiophene)-poly(styrenesulfonate) (PEDOT:PSS) [31]. When a positive voltage is biased, the state becomes “programming” by electron tunneling rGO through the PMMA layer. When a negative voltage is biased, the state becomes “erase” by electron detrapping at the rGO layer, and the electron is transferred to the semiconductor layer again. Hence, they achieved an on/off switching current ratio of 104 in the standby state using the inkjet method and developed a flexible device that can be scaled down. When a polymer is used as a dielectric layer, the operating voltage is quite high (Table 1). It is required to utilize and develop a thin and conformal insulating polymer coating technology for lower floating-gate voltage operation.
On the other hand, studies using quantum dot materials as floating gates have also been reported. Kim et al. fabricated the photo floating-gate memory using S-(3-mercaptopropyl) 2,3,4,5,6-pentafluorobenzothiote (FBC3SH) with a quantum dot (QDs) material CdSe, which was operated by an external stimulus [36]. The FBC3SH layer used as a tunneling insulator not only helps the surface modification to make the semiconductor layer grow well but also causes the device to turn on by accumulating holes by a large dipole moment. The memory device showed a stable and reliable current state at VREAD = 0 V (on state) during the device operation by synthesizing perfluorinated thiol ligand. Despite the large gaps between the grains of C10-DNTT deposited on the CdSe QD, OFETs with FBC3SH exhibited a linear current increasing trend even under VGS = 0 V. The blended CdSe FBC3SH layers generated a large dipole moment when exposed to light, which altered the work function of the floating gate surface and induced the accumulation of hole carriers [37]. A quantum dot-based floating-gate allows the devices to exhibit large memory retention and high memory speed [38]. Li et al. fabricated ternary hybrid floating-gate memory using polystyrene (PS), [6,6]-phenyl-C61-butyric acid methyl ester (PCBM), which is used for hole trapping, and CsPbBr3 quantum dots (QDs), which trap photoinduced electrons [39]. This hybrid film exhibited ambipolar properties that store electrons and hole carriers using irradiating light and a biasing voltage, respectively. As a result, it showed a fast-erasing speed of 0.05 s and a low erasing voltage of −35 V. This dual-functional memory device may provide a new future for memory devices.
Nanoparticle (NP) floating-gates can be adjusted to optimize memory performance by their size, density, and assembly. Sun et al. fabricated an ambipolar floating gate by mixing Au NP with PMMA used as the tunneling dielectric [40]. Owing to the ambipolar characteristics, a memory window of 20 V and an on/off switching current ratio of 104 were achieved. Zhang et al. reported a PS floating gate blended with Ag and Pt NPs [41]. The holes in a bimetal-based floating-gate device, in which two materials are used in one device, were operated using the Fowler–Nordheim tunneling method. At PS floating gate layer, Ag and Pt NPs, traps holes and electrons, respectively. Using the bimetal device, the memory window was 18.7 V, which was approximately 10 V higher than the single metal. The on/off ratio showed a value of more than 105.
The tunneling dielectrics of memory fabricated by blending two or more polymers have also been reported. Wu et al. used blended 6, 13-bis-(triisopropylsilylethynyl) pentacene (TIPS-Pentacene) and polymer poly(styrene) (PS) [41,42]. The blended material processed by solution acted as a floating-gate and tunneling layer. A large memory window of 25 V or more and a stable cycle of more than 500 cycles were obtained by optimizing the proportion of TIPS-Pentacene and PS.
When a gate voltage is applied to the conventional floating-gate memory, carriers are trapped and detrapped in the floating gate, causing device operation. In contrast to the mentioned conventional operation, this section revisits an emerging photo-assisted memory operation that uses the photoelectric effect to generate an electric field by irradiating light without a biasing voltage.
Chen et al. used poly(2,7-(9,9-dioctylfluorene)) (PFO) and polystyrene (PS) blended according to an appropriate ratio to use PFO5k-b-PS22k as a floating gate [43]. The formation enhanced electron trapping, and the stabilized electrons were trapped at blended PFO and PS interfaces. The device showed an on/off switching ratio of more than 104, and it was stable for more than 10,000 s. Yang et al. used a photoactive material, CH3NH3PbBr3/poly(2-vinylpyridine), as a floating gate [44]. The gate was most active at 530 nm and was divided into photo-writing, reading, photo-erasing, and reading cycles by light irradiating. It showed an on/off ratio of more than 104, and photo-erasing was possible only with light irradiation only for one second. In addition, the substrate was a flexible device using the poly(ethylene 2,6-naphthalene dicarboxylate) (PEN) film and showed the same photoactivity after 1000 bending cycles. A memory that writes at 675 nm was reported. Lan et al. showed used a blended polymer indacenodithiophene-benzothiadiazol (IDTBT) and poly[1,6-bis(dicarboximide)-2,6-diayl] (N2200) to fabricate an ambipolar memory that served as a floating-gate [45]. Quantum well-like organic heterojunctions act as charge trap centers in the n-type material. The heterojunction’s stored optical information expanded it to an 8X8 active-matrix array. The aforementioned results suggested a path for a photosensor with a new mechanism of image sensing.
Optical devices can repeat the erasing-reading-programming process when light is irradiated. Photoerasable devices are unlike the device that reads first. Li et al. used a floating-gate by blending [6,6]-phenyl-C61-butyric acid methyl ester (PCBM) and PMMA materials. They stored 2 bits by trapping electron carriers even under various bias conditions. As erasing was first, it showed memory that can erase mass data [46]. Jeong et al. reported floating-gate memory using QD type CdSe and pentacene [47]. Surface-modified “photoinduced recovery” is possible in a device that is erased first, and small molecular ligands induce hole diffusion from the QD to the conductive channel, resulting in a fast erasing time. The surface-modified QDs with fluorinated molecules function as normally-ON type transistor memories with a non-destructive operation, showing a stable current state and an on/off switching ratio of more than 105.
A mechanism using the photoelectric effect does not store two levels on the 0, 1 state, but a multilevel was reported. Xu et al. fabricated a polymer floating-gate using poly(9,9-dioctylfluorene-co-benzothiadiazole) (F8BT) and polystyrene. With suitable optical and electrical programming/erasing conditions, it became a three-level information storage state. The electronic storage of the floating gate, approximate neutrality, and hole storage enabled three levels of information storage (Figure 2a). Jin et al. suggested a non-volatile memory device with four levels of information storage [48]. The Cs2Pb(SCN)2Br2/polymer (CPB) was used as a floating gate, and light with an absorption wavelength of 470 nm according to CPB QD was used. The stored electrons were depleted at the floating gate, and the concentration of holes in the conductive channel increased, and the transfer curve shifted to the initial state. The floating-gate organic field-effect transistor memory (FGOFETM) has a very stable data retention function, as the applied wavelength and the current level are maintained at the same value for 20 cycles depending on the applied voltage [48]. Furthermore, Zhou et al. prepared an ambipolar memory using poly(diketopyrrolopyrrole-thiophenebenzothiadiazolethiophene) (PDPP-TBT) as a floating gate. Charge trapping occurred in the metal nanoparticle, trapping both electrons and holes [49]. The device had a wide memory window, and five levels were separated, suggesting a multibit flash memory.
Table 1. Polymer-based floating-gate memory performance comparison.
Table 1. Polymer-based floating-gate memory performance comparison.
Polymer Thickness
(nm)
On/Off
Switching Ratio
Memory
Window (V)
Retention
Time (s)
Mobility
(cm2 V−1 s−1)
[Ref]
Floating gatecPVP/F8T222>10430a few hours0.02[29]
FBC3SH3.67<10218.71050.05[37]
PCBM/CsPbBr3/PS6210212.5104N/A[39]
TIPS Pentacene45102>2550000.065[42]
PFO/PS3.48104211040.0074[43]
CH3NH3PbBr3/poly(2-vinylpyridine)60<10414>104N/A[44]
PCBM/PMMA9.90>10222.11.2 × 104N/A[46]
PVN/C600.3105–10610.311040.26[47]
F8BT/Polystyrene501065, 17
(at each level state)
2 × 1041[50]
Tunneling layerPVP161500N/A2000.02[16]
Pentacene10–20>10518.71040.53 [30]
PMMA8–1010420N/AN/A[36]
PMMA100102201030.15[41]
ElectrodePEDOT:PSS10>104101070.08[31]
SemiconductorDPP-DTT80103201080.3[42]

2.2. Polymer Electret Memory

Similar to the operation of a floating gate, a polymer electret memory was also considered as another charge trapping memory. Polymer electret, which is a dielectric material with a quasi-permanent electrical charge, has been used widely in sensors, memories, and gas filters [53,54]. The memory device operates the storage of charges in the polymer electret layer. The following mechanisms can explain the storage of charges in the polymer electrets: orientation of permanent dipoles (in polar materials) and charge-trapping by structural defects or boundaries [55]. Kim et al. reported the properties of various polymer electrets based on styrene [55]. Polymer electret OFET memory implementations using styrene-based polymers, such as polystyrene (PS), poly(α-methylstyrene) (PaMS), poly(4-methyl styrene) (P4MS), poly(2-vinyl naphthalene) (PVN), poly(4-vinyl phenol) (PVP), poly(2-vinyl pyridine) (PVPyr), and polyvinyl alcohol (PVA), were performed (Figure 3a). Organic field-effect transistor devices using hydrophobic and non-polar polymers (PS, PaMS, and PVN) had better non-volatile memory properties than hydrophilic and polar polymers (PVA, PVP, and PVPyr). This phenomenon can be explained by that polar and hydrophilic polymer electrets were difficult to store electric charges because the trapped electrons were released rapidly by dipoles, moisture in the atmosphere, and ions frequently present in the hydrophilic polymer.
Recently, ambipolar characteristic memories that can store both carriers (i.e., electrons and holes) have been reported. He et al. reported the storage properties of poly(α-methylstyrene) (PαMS)-based ambipolar memory as the transport properties of minority carriers (electrons) in organic semiconductors (Pentacene) [58]. They fabricated a memory device using a PαMS electret layer. Electrons and holes were captured in the trap state of PαMS according to the gate bias to induce the memory characteristics. Ambipolar storage memory has several advantages, such as a large memory window, multilevel memory, and low-voltage operation [59]. Therefore, a 24 V memory window and 105 of on/off switching current ratio were obtained. The retention characteristics of the memory were highlighted by the on/off ratio being maintained even after three hours. Kim et al. implemented an ambipolar device by blending the semiconductor layer with n-type N2200 and p-type TIPS-Pentacene (Figure 3b) [56]. The electret layer was manufactured using a styrene-based (polystyrene-brush) PS-brush electret. By applying blends of organic semiconductors with an optimized proportion ratio, the resulting memory devices showed a 30 V memory window with a 30 V operating voltage, stability endurance performance over 100 times, and 108 s retention time while maintaining a 104 on/off switching current ratio (Figure 3c,d).
Although polymer electret memories using styrene-based electret materials have been reported [60,61], electret memory devices fabricated from the organic polymer have also been reported. Yu et al. reported various electret n-type polymer electret FETs using a polyimide (PI) [21]. Polyimidothioether [4,40(diaminodiphenylsulfide) bismaleimide- 2,5-bis(mercaptomethyl)-1,4-dithiane] (PITE(BMI-BMMD)), poly- [bis-(4-aminophenyl)-sulfide-biphthalimide] (PI(APS-BPA)), and poly[bis-(4aminophenyl)-sulfide-oxydiphthalimide] (PI(APS-ODPA)) polymer electret layers were synthesized using 2,5-Bis(mercaptomethyl)-1,4-dithiane (BMMD), 4,4′-oxydiphthalic anhydride (ODPA), and 4,4′-biphthalic anhydride (BPA) (Figure 3e). Although all three electret layers were synthesized using PI, the synthesized PI electret layers had different charge transfer functions. Therefore, PI(APS-ODPA) and PI(APS-BPA) memory operate as non-volatile flash memory capable of four states of write-read-erase-read (WRER), but PITE(BMI-BMMD) memory operated nonvolatile write-one-read-many (WORM) memory characteristics. Therefore, transistor memory devices can be operated by controlling the charge transfer function of the electret. Cheng et al. implemented three polymer electret layers of TPA-PIS, TPA-PES, and TPA-PETS by combining polyimide (PI), polyether (PE), and polyester (PET) with triphenylamine (TPA) (Figure 3f) [57]. TPA-PIS and TPA-PETS electret memory devices exhibited ambipolar charge trapping behavior, resulting in a memory window of 32.4 ± 1.2 and 21.7 ± 1.0 V and an on/off switching current ratio of 105~106 and 103~104, respectively. The TPA-PES device exhibited unipolar hole trapping properties because of the high LUMO level and the large barrier offset with pentacene. While on/off switching ratio and retention time performances are excellent in the reported polymer electret memory (Table 2), the programming/erasing voltage values are quite high due to the thick polymers. Efforts to make thinner polymer electrets should be performed for lower voltage operations.

2.3. Ferroelectric Memory

2.3.1. Two-Terminal Ferroelectric Memory

When electricity is applied to a ferroelectric material, it exhibits magnetism that maintains electric polarization by aligning dipoles. The aligned dipole polarization can be reversed by an electric field that is larger than the coercive field and generate stored data ‘0’ and ‘1’ [62,63]. As a result, ferroelectricity provides non-volatile memory operation, in which recorded data is not erased, even when the power is turned off [64,65]. Ferroelectric memory will be needed in the era of the Internet of Things (IoT), owing to its high speed and low power consumption [66,67]. Recently, the most commonly used and studied ferroelectric polymer is polyvinylidene fluoride (PVDF), whose molecular repeating unit is based on a CH2-CF2 vinylidene (VDF) monomer with two fluorine and two hydrogen atoms bonded to a carbon backbone. PVDF has four complicated crystalline structures: α, β, and γ, as shown in Figure 4a [68,69]. Because the α phase remains very thermally stable, the PVDF solutions usually crystallize as non-ferroelectric α phases because the α phase remains very thermally stable and has lower potential energy of −6.03 kcal/monomer unit than the −5.73 kcal/monomer unit of the β phase. In contrast, the β and γ phases are polarized and exhibit ferroelectric properties because they are composed of all trans molecules packaged in a parallel manner. Among these, the β phase exhibits the largest polarization, 13 μC/cm2 [70].
Poly(vinylidenefluoride-co-trifluoroethylene) (P(VDF-TrFE)) is the most common and widely used ferroelectric polymer using PVDF [71,72]. P(VDF-TrFE) realizes robust polarization effect using simple methods, such as spin coating and roll-to-roll-based inkjet printing technology without a thermal budget [73]. This Section introduces two-terminal resistance switching ferroelectric memory as three mechanisms: (1) filamentary resistive switching type, (2) diode type, and (3) ferroelectric tunnel junctions (FTJs) type.
Figure 4. (a) Illustration of the crystalline phase of PVDF (adapted from [69] with permission from MDPI and [68] with permission from American Chemical Society). (bd) Diode type ferroelectric memory and characteristics (adapted from [74] with permission from Nature and [75] with permission from the American Institute of Physics). (e,f) Mechanism and transfer curve of FTJ type ferroelectric memory (adapted from [76] with permission from John Wiley and Son).
Figure 4. (a) Illustration of the crystalline phase of PVDF (adapted from [69] with permission from MDPI and [68] with permission from American Chemical Society). (bd) Diode type ferroelectric memory and characteristics (adapted from [74] with permission from Nature and [75] with permission from the American Institute of Physics). (e,f) Mechanism and transfer curve of FTJ type ferroelectric memory (adapted from [76] with permission from John Wiley and Son).
Polymers 13 03774 g004
First, Kim et al. implemented an organic ferroelectric resistive random-access switching memory using ZnO nanoparticles (NP) and P(VDF-TrFE), which has the ferroelectric polarization effect [77]. As the applied voltage was increased, the ZnO nanocomposite was aligned in the direction of the dipole field of the ferroelectric to form a filament. Among the various mixing ratios, the devices were fabricated using the optimal ratio of 20 wt. % ZnO nanoparticles exhibited optimal and stable resistive switching behavior with an on/off switching current ratio of up to 2 × 107 and a holding time of 104 s at a low operating voltage (−4 V~4 V). There are also reports of the implementation of resistive switching memories by controlling the space charge effect through defects in the ferroelectric film.
Second, diode-type devices have been developed as an alternative because it is difficult to form a tunneling current or a filament due to a thick ferroelectric layer. Therefore, the ferroelectric diode has a mechanism in which carriers are transported by ferroelectric polarization in the patterned semiconductor, as shown in Figure 4c [68,75]. Lenz et al. produced a ferroelectric diode using the polymer poly(9,9-dioctylfluorene) (PFO) as the semiconductor and P(VDF-TrFE) as the ferroelectric polymer by the soft lithography method [78]. When the positive bias increased, it changed to efficient charge injection such as ohmic metal–semiconductor contact by ferroelectric P(VDF-TrFE) polarization compared to Schottky contact at non-polarization. In addition, a large amount of charge transport occurs at the semiconductor–ferroelectric interface because of the strong charge accumulation. Therefore, the diode showed an on state because of the resulting set and reset. At this time, the diode achieved an on-current density greater than 103 A/m2 that was maintained for more than 104 s with an on/off switching current ratio of 103.
Finally, ferroelectric tunnel junctions (FTJs) are considered outstanding candidates of memory devices for low-power nonvolatile memory and memristic devices [79]. Ferroelectric polarization switching alters the ferroelectric–electrode interface barrier height, thereby changing the tunneling electron resistance (TER) of the FTJs, modulating the current at the metal/thin-film ferroelectric/metal sandwich structure. A higher TER ratio results in greater hysteresis through polarization reorientation of the ferroelectric tunnel barrier, maintaining the two stable nonvolatile states. Majumdar et al. altered the annealing conditions of P(VDF-TrFE) ultrathin films in the structure of Au/P(VDF-TrFE)/Nb-doped SrTiO3(NSTO) FTJs and reported the switching time of the FTJs [73]. They demonstrated the higher the crystallinity by changing the annealing temperature of ferroelectric, the better the switching characteristics. In addition, large TER was generated by changing the barrier width caused by electron tunneling by biasing. Therefore, P(VDF-TrFE) showed a switching speed of 1 ps to 1 ns, which is comparable to ceramic ferroelectrics, such as BTO or PZT (about 100 ps–10 ns). Kumar et al. reported FTJs based on a ferroelectric polymer P(VDF-TrFE) using adhesion lithography to fabricate nanogaps electrodes and showed stable and reproducible large TERs [76]. The ferroelectric polarization of P(VDF-TrFE) caused the FTJ tunneling current modulation. When forward biased, the Al-oxide barrier acted as an additional barrier to charge transport because the ferroelectric polarization and the applied external field were in reverse equilibrium (Figure 4e). Therefore, the barrier modulation of the Al/P(VDF-TrFE) electrode interface showed a huge effect of 106% in the planar FTJ.

2.3.2. Three-Terminal Ferroelectric Memory

Unlike the two-terminal ferroelectric memory, the three-terminal ferroelectric memory exhibits field-effect transistor (FET) formation (Table 3). Most reported ferroelectric field-effect transistors (FeFET) used ferroelectric materials as gate insulators. A FeFET and general FET has the same operating mechanism, but FeFET is affected by ferroelectric polarization. Assuming that the semiconductor and gate insulator are n-type, the FeFET memory operates as follows. (1) At positive voltage biasing at the gate, when the polarization direction is toward the semiconductor channel, electrons are accumulated at the semiconductor–ferroelectric interface to form a channel, and the current flows at electrodes. (2) When 0 V is biased at the gate (Vgs = 0 V), FeFETs are still polarized, so the channel does not disappear, and the current flows easily, unlike typical FETs. Therefore, (3) a negative voltage must be applied to alter the polarization direction and block the channel. By changing the polarization direction, two states of 0 and 1 are realized because of hysteresis. Ferroelectric polarization allows the transistor to maintain a state of on or off without additional biasing. Therefore, FeFET can be used, such as data loss-free and non-volatile memory [80].
The ferroelectric film of FeFET is a crucial part of interfacing with semiconductors. If the ferroelectric layer and the semiconductor or electrode interface are bonded unsuitably, the polarization characteristics of the ferroelectric do not occur, the leakage current increases due to carrier trapping, and a large operating voltage is required [81]. Therefore, various studies have improved the performance of the FeFET, such as using a buffer layer and improving the surface roughness of the ferroelectric film and the interface with the semiconductor. This paper reports FeFETs using various semiconductors layers: organic materials, 2D materials, and metal oxides.
Nguyen et al. fabricated non-volatile FeFET memory using pentacene as a semiconductor layer and P(VDF-TrFE) as a gate insulator [82]. They improved the surface roughness by changing the crystallinity of the P(VDF-TrFE) film by annealing at 140 °C. In addition, a 104 of on/off switching current ratio was maintained for 5000 s. On the other hand, the performance of PEN-based organic FeFETs is affected by a range of conditions causing a leakage current [83]. Therefore, to prevent the leakage current, Xu et al. proposed a novel structure to overcome the leakage current using a ferroelectric polymer between two-buffer ultrathin AlOX [84]. By inserting the AlOX layers, large mobility of 1.7~3.3 cm2 V−1s−1, highly reliable memory switching endurance of more than 2700 cycles, and high stable data storage retention of more than 8 × 104 s with a memory on-off switching ratio of more than 102 were presented (Figure 5a,b). On the other hand, Xu et al. deposited a long-chain alkane molecule tetratetracontane (TTC) as a protective layer on poly(vinylidenefluoride–trifluoroethylene–chlorotrifluoroethylene) terpolymers (P(VDF-TrFE-CTFE)) film surface to protect the interfacial trap and improve the pentacene film crystalline quality [85] Therefore, FeOFETs non-volatile memory reported an operation voltage of ±15 V, mobility up to 0.5 cm2 V−1s−1, and stable program/erase over 1000 cycles. They achieved storage retention and durability of 6000 s. In addition to pentacene, other organic materials have been used. Song et al. presented FeFETs using C8-BTBT as a semiconductor layer and PMMA as a buffer layer [86]. The root mean square (RMS) roughness of the PMMA/P(VDF-TrFE) surface was reduced from 3.6 to 2.7 nm by increasing the PMMA concentration from 0.08 wt. % to 0.1 wt. % (Figure 5c–f). Thus, carrier mobility up to 5.6 cm2 V−1s−1 and the on/off ratio of 106 can be achieved. The device exhibits switching times of ~3.0 ms from off to on.
FeFETs made from semiconductor layers using 2D materials have also been reported. A 2D semiconductor layer has a large memory window because of its high conductivity and ambipolar properties. Amiri et al. fabricated a top gate structure FeFETs by depositing graphene [90]. They used the ambipolar property of graphene to fabricate FeFETs and revealed the hysteresis transfer properties with two distinct bistable conductivity levels at zero gate bias. They reported an on/off ratio of 2.4, contact resistance of 50 Ω, and mobility of 400 cm2 V−1s−1. Lee et al. fabricated black phosphorus (BP)-based nonvolatile memory FETs using P(VDF-TrFE) as the top gate insulator layer [88]. Among the 2D vdW materials, BP showed significant potential in electronic and optoelectronic applications because of its allotropic properties, high mobility, and direct and narrow bandgap [91,92]. Despite its different unipolar properties from graphene, the BP FeFETs exhibit a memory window of 15 V and a linear mobility value of 1159 cm2V−1s−1, with an on/off current ratio of 103 at room temperature (Figure 5j). The device was held for 1000 s without degrading the program/erase ratio (Figure 5k).
In addition, there are cases where high-performance FeFETs are manufactured using zinc oxide (ZnO), a metal oxide. Tian et al. fabricated FeFETs using the synthesized ultra-thin zinc oxide nanosheets (ZnO NS) (Figure 5h) [89]. The P(VDF-TrFE) film protects the surface traps and defects of ZnO NS and blocks the absorption and desorption of air, which affects the conductivity of ZnO. Owing to the excellent residual polarization properties and high single crystal quality of the ZnO nanosheets, an on/off current ratio of more than 107 and a large memory window of 16.9 V were obtained at a 0 V gate voltage and 0.1 V drain voltage, as shown in Figure 5i. In addition, the measured Program/Erase retention time was more than 3000 s.
FETs using a blended layer of ferroelectric and polymer to improve the performance were reported. Kim et al. fabricated a FeFET using a P(VDF-TrFE)/PMMA blended buffer layer to improve the electrical performance [93]. FeFETs with blended buffer bilayers (BL-FeFETs) showed a more than 25 times higher on-current (3.40 A) than single-layer FeFETs (SL-FeFETs) (130 nA). BL-FeFETs showed improved memory retention (103 s) and a higher on/off switching current ratio than conventional SL-FeFETs (Table 3).
Table 3. Ferroelectric memory characteristics comparison.
Table 3. Ferroelectric memory characteristics comparison.
Ferroelectric
Polymer
Thickness
(nm)
On/Off
Switching Ratio
Memory Window (V)Retention Time
(s)
Mobility
(cm2 V−1 s−1)
[Ref]
2terminal ferroelectric layer
(Switching layer)
P(VDF-TrFE)_
ZnO NPs blends
3002 × 107N/A104N/A[77]
P(VDF-TrFE)300103N/A104N/A[78]
P(VDF-TrFE)250 ± 54102N/A8.7 × 104N/A[74]
P(VDF-TrFE)265 ± 10105N/AN/AN/A[75]
P(VDF-TrFE)6102–104N/A109N/A[73]
P(VDF-TrFE)300105N/AN/AN/A[76]
3terminal ferroelectric layer
(Gate insulator)
P(VDF-TrFE)900104N/A5 × 1030.072–0.12[82]
P(VDF-TrFE-CTFE)6010213.38 × 1041.7–3.3 [84]
P(VDF-TrFE-CTFE)650103–10412.46 × 1030.5[85]
P(VDF-TrFE)30010612 ± 21065.6[86]
P(VDF-TrFE)800–15002.4N/AN/A400[90]
P(VDF-TrFE)220103154 × 1021159[88]
P(VDF-TrFE)30010716.93 × 103588[89]
P(VDF-TrFE)_ PMMA blendsN/A104N/A103N/A[93]

2.4. Memristor

A memristor is a device that shows a resistance switching effect in relation to the coupling between electric charge and magnetic flux. The structure is divided mainly into vertical and horizontal structures. The vertical structure is where the insulator material is sandwiched between two electrodes. The two electrodes are in the horizontal direction, and the carrier movement through the semiconductor material below is the horizontal structure. In both devices, the operation of negative ions is the main operation, and it shows the resistance switching effect exhibiting hysteresis by forming filaments in the polymer layer [94].
Ree et al. synthesized novel oxygen-based polymers through reacting poly(ethylene-alt-maleate) with oxybenzyl alcohol; poly(ethylene-alt-di(3,4,5-trimethoxybenzylmaleate) (PEM-BzOMe3) as the switching layer with the Al electrode [95]. Schottky emission and trap space charge limited conductions in the off state and hopping conduction in the on state at PEM-BzOMe3 12.2 nm in Figure 6a. This memristor exhibited p-type unipolar resistive memory behavior with low set voltages at 9.97 V, on/off switching current ratio of 108, and high reliability for 40,000 s.
Several memristor devices using organic 2D material with an ordered structure, high surface area, high stability, and tunable function were also reported [96]. Lv et al. fabricated a memristor using a conventional diode with van der Waals heterostructures (vdWHs) using [6,6]-phenyl-C61-butyric acid methyl ester (PCBM)−molybdenum disulfide (MoS2) nanocomposites [97].
Figure 6. Classification of polymers according to the properties of the substances: (a) operation mechanism using oxygen-based polymers (adapted from [95] with permission from the American Chemical Society), (b) 2D material polymers (adapted from [97] with permission from the American Chemical Society), (c) conductive metal bridges (filaments) (adapted from [98] with permission from Elsevier), (d) realization memristor device using PVP (adapted from [99] with permission from the American Chemical Society), and (e) recognition rate by measuring the PVP memristor (adapted from [99] with permission from the American Chemical Society).
Figure 6. Classification of polymers according to the properties of the substances: (a) operation mechanism using oxygen-based polymers (adapted from [95] with permission from the American Chemical Society), (b) 2D material polymers (adapted from [97] with permission from the American Chemical Society), (c) conductive metal bridges (filaments) (adapted from [98] with permission from Elsevier), (d) realization memristor device using PVP (adapted from [99] with permission from the American Chemical Society), and (e) recognition rate by measuring the PVP memristor (adapted from [99] with permission from the American Chemical Society).
Polymers 13 03774 g006
The vdWHs dominate the electric characteristics. The electronic characteristics of the diode devices were tuned by changing the surface deposition ratio of PCBM nanoaggregates on MoS2 nanosheets. PCBM can be polarized under the applied electrical field, resulting in the build-in localized internal electrical fields, even when the voltage is turned off, leading to the nonvolatile properties of the device. The device exhibited rewritable resistive switching with low switching voltages (~2 V), high current on/off ratios (~3 × 102), and superior electrical bistability (>104 s).
Minnekhanov et al. reported a sandwich memristor with Cu/Parylene dimer (2,2-para-cyclophane)/Indium tin oxide (ITO) structure [98]. When Cu is biased with a positive voltage, the reduced Cu metal ions are injected into the polymer layer to form a conductive filament, connecting the top and bottom electrodes. When a negative voltage is applied, the thinnest filament ruptures due to Joule heating, demonstrating the mechanism that results from the HRS state (Figure 6c). In addition, the conductance quantization effect was observed to confirm the switching, which will be useful in the development of multilevel data memory cells.
Chen et al. fabricated a flexible memristor by bonding parylene to nanopore graphene [100]. As mentioned earlier, a parylene-based device reduces the reset current and programming power consumption. Therefore, the intrinsic nanopores on graphene form conductive filaments at low currents. As a result, compared to the device without a graphene layer, the reset current was lowered 47 times, and programming power consumption was reduced 14 times.
There are memristors using the water-soluble polymer polyvinyllpyrrollidone (PVP). Jang et al. fabricated a memristor using poly(1,3,5-trivinyl-1,3,5-trimethyl cyclotrisiloxane) (pV3D3) as the interlayer using two Cu and Al electrodes [99]. The uniform, pinhole-free film pV3D3 allowed the stable formation of Cu metal ions between the top and bottom electrodes. In addition, as pV3D3 was controlled by the voltage, synaptic switching behavior was realized. Flexible devices can be fabricated because of the properties of the material. To implement practical applications based on polymer memristors, robust endurance should be developed, which is still lacking in the reported studies (Table 4).
Table 4. Memristor characteristics comparison.
Table 4. Memristor characteristics comparison.
PolymerThickness
(nm)
On/Off
Switching Ratio
Memory
Window (V)
Retention Time
(s)
Mobility
(cm2 V−1 s−1)
[Ref]
Switching LayerPEM-BzOMe335.610844 × 104N/A[95]
PCBM-MoS2503 × 1024.5>104N/A[97]
Parylene dimer(2,2-para-cycloophane)1001034>104N/A[98]
Parylene401052.5104N/A[100]
pV3D313.5105<1>103N/A[99]

3. New Applications

3.1. Optoelectrical Memory

The light device performance can be improved without damaging the device, and it can be an independent variable to control the device. When light is irradiated on the photoreactive material, the electrical signal becomes an additional electric field by the generated photons. Thus, several types of memory, such as field-effect transistor memory, resistive random-access memory, multilevel memory, and phase change memory, have used photo-generated carriers to improve the performance. Therefore, many optically variable memories with unique characteristics using a range of photoreactive materials have been reported (Table 5).
Leydecker et al. reported a multistage nonvolatile optical memory thin film transistor in which the active layer is composed of an organic poly(3-hexylthiophene) (P3HT) and photochromic molecular diarylethenes (DAE) blended thin film [101]. Organic photochromic molecular DAEs have excellent thermal stability and an efficient photoisomerization process, giving them potential phototunable memory applications. The rupture and formation of the benzene ring bond of the DAE photochromic molecules cause a photochemical transformation by changing the electrical performance by irradiating the appropriate wavelength (Figure 7a) [102,103]. They reported a non-volatile device with more than 256 current levels (8-bit storage) with 3 ns laser pulses, more than 70 write/erase cycles and a data retention time of 107 s. For enhanced optical operation, photochemical properties, such as absorption, refractive index, and fluorescence properties, should be considered, and physical parameters, such as highest occupied molecular orbital (HOMO), lowest occupied molecular orbital (LUMO), trap states, and charge mobility, should also be considered.
In addition, optical memory has been realized using polymer electret that responds to light. Yi et al. fabricated OFET ambipolar memory devices with a pentacene/poly(N-vinylcarbazole) (PVK)-based active layer [107]. Many excitons are generated on the pentacene layer under irradiating light and cause memory operation due to the accumulation of holes and electrons at the pentacene–PVK interface. Therefore, the device can be operated “programming/erasing” state using illumination without biasing. The OFET ambipolar memory device showed the retention times for more than 104 s at holes and electron operation with on/off current ratios of 103, 104 respectively. Moreover, the memory window increased to 70 V, which was twice that of the OFET unipolar memory device. A conjugated polymer with high photoreactivity can be used as a photoactive component of the electret layer. On the other hand, the extended π conjugation length along the conjugated polymer backbone results in a high leakage current from the retained charges to the semiconductor. Therefore, it is also used as an electret layer in a photonic memory device through proper mixing of a conjugated polymer with an insulating polymer. Shih et al. fabricated OFET electret memory devices in which the electret layer was based on a blend of conjugated polymer poly(9,9-di-n-octylfluorenyl-2,7-diyl)(PF) and insulating polymer polystyrene (PS) (Figure 7b) [105]. The photonic memory device using the PF/PS blend electret enabled light-writing and voltage-erasing processes in a short time of one second, an on/off ratio between “Photo-On” and “Electrical-OFF” above 106, and a retention time of three months. In addition, multilevel memory behavior was observed using different light sources or energy intensities of 405, 450, and 520 nm (Figure 7c).
Photo-memory devices fabricated from the synthesized electret material and perovskite were reported. Ercan et al. reported the optical and memory characteristics of a hybrid perovskite-based optical memory device synthesized with CH3NH3PbBr3 perovskite nanoparticles and poly(methacrylic acid) (PMAA) polymer electret materials [108]. The photoresponse behavior and the on/off current ratio increased with decreasing perovskite NPs size. The memory device without perovskite did not exhibit optical memory operations or electrical write operation, but the device with perovskite NP showed optical memory characteristics and excellent photoresponse of the perovskite. Among several polymers, a device using PMAA exhibited a high on/off switching current ratio of 105.
Hong et al. presented a multifunctional optoelectronic non-volatile memory using a molybdenum disulfide (MoS2) semiconductor and a poly(3,4-ethylenedioxythinophene):poly(styrene sulfonate) (PEDOT:PSS) floating gate (Figure 7d) [106]. At the “program” state, it has better performance more under light than the dark. This provides 1000 times read current, a switching ratio of 2.3 × 107, a memory window of 62 V, and durability for more than 1000 cycles under light (Figure 7e). Depending on whether light is illuminated, the photo-memory provided a different level of programming (Figure 7f). Therefore, a photo-activated memory that combines photodiode and memory functions could be operated.
Table 5. Optoelectrical Memory characteristics comparison.
Table 5. Optoelectrical Memory characteristics comparison.
Photoreaction
Polymers
Wavelength (nm)Thickness
(nm)
On/Off
Switching Ratio
Memory Window
(V)
Retention Time
(s)
Mobility
(cm2 V−1 s−1)
[Ref]
P3HT-DAE-Me313, 546N/A105N/A1070.01[101]
PVK400~70020104701040.072[107]
PF/PS blend405, 450, 52050–60106181050.87[105]
CH3NH3PbBr3450, 53050105N/AN/AN/A[108]
PEDOT:PSS405, 532, 638N/A2.3 × 107622 × 103N/A[106]

3.2. Neuromorphic Device

Neuromorphic devices are electronic devices that mimic the functions of neurons and synapses to operate electronic devices with less energy, such as human neural networks [109]. In the era of big data, neuromorphic devices will develop as the next-generation electronic devices that need to process complex data (Figure 8).
Recently, a memory device using ion gels as neurotransmitters were reported. Melianas et al. reported organic electrochemical random-access memories (ECRAMs) that were programmable under vacuum conditions at a low voltage of ±1 V using an electrically insulating polymer with common ionic liquids, 1-ethylimidazolium bis(trifluoromethylsulfonyl)imide (EIM:TFSI) [110]. Using ion gel electrolytes EIM:TFSI, the device showed linear resistive switching and faster switching down to 20 ns. The fast switching in electrochemical devices was attributed to rapidly diffusing ions, such as protons. Protons diffuse rapidly and with low activation barriers, particularly in a hydrogen-bonded network by the Grotthuss mechanism. This enables a higher dynamic range (~4x), even with fairly short ±1V 300ns write pulses, than without EIM:TFSI and superior temperature stability compared to PEDOT:PSS with a 9% increase in dynamic range. Moreover, size scaling enables faster switching down to 20 ns. Kong et al. also fabricated artificial synapses FET with amorphous indium-zinc-oxide (In-Zn-O) thin films using a P(VDF-HPF) ion-gel dielectric layer [111]. Using the same principle, Park et al. mimicked basic synaptic functions, such as EPSC, spike time-dependent EPSC, PPF, and dynamic synaptic behaviors, due to the large capacitance of the ion-gel dielectric [112].
Figure 8. (a) Schematic diagram of the principle of the neuromorphic behavior using ions (adapted from [113] with permission from John Wiley and Son), (b) using ferroelectric polymer-based materials and its behavior according to the voltage (adapted from [114] with permission from the American Chemical Society), (c) ambipolar neuromorphic device and its operation mechanism (adapted from [115] with permission from the American Chemical Society), (d) flexible neuromorphic device using PV3d3 (adapted from [99] with permission from the American Chemical Society), and (e) conductance according to pulses using PV3d3 (adapted from [99] with permission from the American Chemical Society).
Figure 8. (a) Schematic diagram of the principle of the neuromorphic behavior using ions (adapted from [113] with permission from John Wiley and Son), (b) using ferroelectric polymer-based materials and its behavior according to the voltage (adapted from [114] with permission from the American Chemical Society), (c) ambipolar neuromorphic device and its operation mechanism (adapted from [115] with permission from the American Chemical Society), (d) flexible neuromorphic device using PV3d3 (adapted from [99] with permission from the American Chemical Society), and (e) conductance according to pulses using PV3d3 (adapted from [99] with permission from the American Chemical Society).
Polymers 13 03774 g008
Wang et al. reported neuromorphic devices using P(VDF-TrFE) and poly((1-vinylpyrrolidone)-co-(2-ethyldimethylammonioethyl methacrylate ethyl sulfate)) (P(VP-EDMAEMAES)) as synaptic gate dielectrics [116]. By varying the gate voltage amplitude, the synapse switches between the electrochemical and ferroelectric modes to produce short-term potentiation (STP), electrochemical long-term potentiation (LTP), and ferroelectric LTP, respectively. Furthermore, organic neuromorphic devices can be triggered in response to light and be altered into volatile and nonvolatile synaptic signals depending on the frequency, intensity, and wavelength of the light. Kim et al. reported that contact metals affect the performance of a FeFET synapse using the ferroelectric material P(VDF-TrFE) [117]. The contact barrier heights with the electrode could be modulated because of the polarization effect of the P(VDF-TrFE) film. Therefore, using the optimized device for simulating MNIST, the recognition rates of the ML-NNs had a recognition rate of 74.7%.
In addition, research on fabricating synaptic devices using a polymer as a semiconductor layer was also reported. Yu et al. used a p-type polymer, poly-(thienothiophene-co-1,4-diketopyrrolo[3,4-c]pyrrole) (PDBT-co-TT), to mimic the biological synapse behavior with data processing and nonvolatile memory capability [118]. In this device, the anion with polymers enhanced the charge retention capability of the polymer and facilitated the interchain interactions, resulting in improved memory characteristics. The suggested device can promote the development of artificial neuromorphic systems by a synaptic transistor with doped conjugated polymers.
The characteristic of pV3D3, both flexible nonvolatile memory and flexible logic-in-memory circuits have been developed for electronics applications. Jang et al. reported the transition of the operation mode in poly(1,3,5-trivinyl-1,3,5-trimethyl cyclotrisiloxane) (pV3D3)-based flexible memristor using Cu electrode working synaptic switching [119]. The set process promotes the formation of Cu filaments into the pV3D3 film without a compliance current. The reset process results in the rupture of Cu filaments due to the high currents flowing through the Cu filaments. Using a pV3D3-memristor array built on a flexible substrate, NOR gates were implemented during multiple cycles and even under bent conditions at a bending radius of 3.8 mm. This artificial neural network will encourage the development of soft neuromorphic devices. Choi et al. reported the curved neuromorphic image sensor to recognize and process massive image information [120]. This image sensor array is based on a heterostructure of MoS2 and poly(1,3,5-trimethyl-1,3,5-trivinyl cyclotrisiloxane) (pV3D3). The curved neuromorphic image sensor array integrated with a plano-convex lens adopting a human vision and recognition system derived a preprocessed image from a set of noisy optical inputs without redundant data storage, processing, and communications, as well as without complex optics. The photocurrent on/off switching current ratio was 11.03. Hence, it can improve efficient image acquisition and be the future way of an integrated neuromorphic sensor.

3.3. Flexible Devices

Flexible memory is attracting attention because of the recent advent of flexible displays and wearable devices (Table 6). In addition, it is being studied and proposed with a variety of polymer and organic materials and new structures [121,122]. This chapter discusses flexible memory: rollable [123], foldable [124], stretchable [125], fabric type, and wearable device [126,127].
Wang et al. fabricated a flexible non-volatile memory on a polyethersulfone (PES) substrate by spin-coating polymer-based layers (Figure 9a) [128]. This device was synthesized and fabricated (P(NDI2OD-T2)) as a semiconductor, polystyrene (PS) as a tunneling insulator, polyvinyl alcohol (PVA), which is an electret material, as the floating charge trapping layer, and PMMA and poly(vinylidene fluoride-trifluoroethylene-chlorofluoroethylene) P(VDF-TrFE-CFE) as the blocking insulator layers. They reported an on/off memory current ratio of 2 × 104, memory window of 15.4 V, more than 100 read and write endurance cycles, and time-dependent data retention of 108 s to achieve a stable and robust memory. Furthermore, devices using mechanically flexible PES substrates showed little change in performance compared to the Si substrates after 1000 bending tests at a bend radius of 5.8 mm. Li et al. fabricated a non-volatile OFET heterostructure memory devices using pentacene/N,N′-ditridecylperylene-3,4,9,10-tetracarboxylic diimide (P13)/pentacene trilayer on poly(ethylene terephthalate) PET substrate [129]. The flexible memory device implements a memory window of more than 30 V and an on/off performance of over 102. The Vth showed good mechanical properties and memory performance even after 10,000 bending cycles in the mechanical bending state of a bending radius of 10 mm.
Lee et al. fabricated a flexible flash memory using a thin polymer insulator grown by ICVD (Initiated Chemical Vapor Deposition) [124]. Their non-volatile memory device was based on a C60-based organic TFT, and two iCVD processed polymer films of poly(1,3,5-trimethyl-1,3,5-trivinyl cyclotrisiloxane) (pV3D3) and poly(ethylene glycol dimethacrylate) (pEGDMA) were used as a tunneling insulator and blocking insulator, respectively. Owing to the flexibility of the iCVD-based polymer dielectric layer, devices were fabricated on 6 μm thick Mylar™ films (substrate) with an excessive bending radius (300 μm), and the device was almost foldable (Figure 9e). With a memory window of 5.5 V and an on/off ratio of 106, programming and erasing functions were possible even in 1200-time folding cycles (Figure 9d).
A completely new type of flexible device that can be used in fabrics was also reported. Kang et al. reported a fibriform organic transistor memory with a nanograined organic ferroelectric film P(VDF-TrFE) solution-coated on thin, flexible Ag wires with a radius of 0.1 mm [130]. As shown in Figure 9b, a memory window of 5.6 V and an on/off ratio of 103 were realized with a gate voltage of 5~−5 V. The device showed excellent switching stability of 100 cycles and stable characteristics, even when the bending tests were performed on a 1.1 mm tube (Figure 9c). The fibriform memory was stitched into a stretchable polypropylene (PP) fabric with needles, and the memory achieved stable device performance within a 5 V operating voltage in uniaxial (diagonal) deformation of 0 to 73.3% (100%) and random wrinkling harsh environment.
Stretchable devices have also been reported. It is very difficult for a stretchable device to maintain its characteristics without affecting the device under intense stress. In particular, it is difficult to use an organic material with unstable performance compared to inorganic material. On the other hand, Jung et al. fabricated stretchable organic FeFET by patterning rigid polyimide (PI) onto a polydimethylsiloxane (PDMS) elastomer substrate [125]. The PI dies were patterned using conventional photolithography and wet etching processes of elastomeric substrates, and electronic devices were fabricated on the patterned rigid PI dies. Therefore, when the substrate was stretched, the strain was mainly subjected to the stretching of the PDMS substrate, and the rigid PI die and the electronic device were subjected to a relatively small strain. Their devices obtained a memory window of 11 V, carrier mobility of 4 × 10−2 cm2 V−1s−1, and a current on/off ratio of 105. These properties were reported to provide good mechanical stability and not deteriorate even at strains up to 50%.

3.4. Biodegradable Memory Devices

As environmental issues are emerging these days, there is an aspect that future memory semiconductor devices must also consider environmental factors. As a solution to this, efforts to develop a biodegradable polymer-based memory device are conducted. In particular, copolymerization, blending, and cross-linking methods are used for biodegradable polymer memory. Additionally, biodegradable polymer nanocomposites using nano-pillars are used [131]. However, the use of organic materials increases the biodegradability of the device but reduces performance and durability. Therefore, the compatibility of metal–semiconductor materials is important for biodegradable devices.
As an example of biodegradable memory development, Wu et al. suggested a memory device based on gold NP embedded alkali lignin (Au NPs: Lignin) [132]. This device has the structure polylactide substrate/bottom Al electrode/Au NPs: lignin/top Al electrode. When the carrier is trapped by the applied voltage, the electron flow path is formed so that the device has an ohmic state, and the device is switched from turn-off to -on. The electron trap between Au NP and alkali lignin is in deep-state, so detrapping is difficult even with a large reverse voltage bias. As a result, it operates as write-once-read-many times memory (WORM) memory. Furthermore, the device with a purepolylactide (PLA) substrate can be decomposited at DI water, which includes proteinase K as an enzyme that catalyzes the decomposition of L-lactyl. After soaking in enzyme solution for 5 days, surface erosion occurred, and it was decomposed into small pieces. This device shows an on/off ratio of (>104), long data retention characteristics (>103 s), and operates under low power (4.7 V). As an example of biodegradable memory, Huang et al. fabricated an Al/gelatin/Ag sandwich structure RRAM on a bio-cellulose (BC) film that was flexible and ductile [133]. The gelatin dielectric layer and BC film substrate were non-toxic, and environmentally friendly and fully biodegradable devices were realized. The BC film decomposed completely in the soil in just five days (Figure 10a). The device showed an on/off current ratio of over 104, a low operating voltage of less than 3 V, and excellent uniformity without apparent aging at room temperature. The device was attached to pig skin and heated to approximately 37 °C to simulate human skin conditions. When measured more than 50 times, it still showed a high on/off current ratio of ~104 and a long retention time of more than 7000 s. Therefore, this study highlighted applications in wearable biomedical devices, artificial electronic skin, and implantable electronic devices. Ji et al. reported an ambipolar resistive switching memory with a structure of W/silk fibroin/Mg using silk fibroin as a dielectric layer [134]. W and Mg act as inactive and active electrodes, and silk fibroin acts as a switching layer. In the set process, the abrupt binary switching behavior of Mg operates, whereas, in the reset process, the rupture of the filament is operated by an electric field. In this way, both the characteristics of the silk fibroin dielectric layer and the role of the active metal electrode are considered in the mechanism. Unlike general fibers, silk fibroin is isotropic in nature, so it is easy to expand and decomposes quickly.
Meanwhile, the electrodes can be decomposed by the reaction of Mg + 2H2O → M(OH)2 + H2 in DI water and 2W + 2HO + 3O2 → 2H2WO4 in PBS solution. The ionic of Mg2+ and WO42− can be fully metabolized in mammalian animals. In this decomposition process, all silk is dissolved within 3 h, and after 24 h of decomposition, it is completely decomposed invisibly without any residue. This device shows an on/off current ratio of 104, retention of 100 cycles, memory window of 5.4 V.

4. Conclusions

In summary, a variety of polymer-based memories offer many advantages, as reviewed in this review. The above-revisited advances in polymer-based memory devices, including floating-gate, polymer-electret, ferroelectric, and filament-induced memory devices, have provided possibilities in the development of high-performance memory operation. Furthermore, new functionalities and their applications to optoelectrical, neuromorphic, and mechanically flexible memory integrations enabled by the polymer contributions have been considered. Different from conventional silicon or inorganic materials, polymers-based memory devices have a low process temperature (<200 °C), so the low thermal budget offers the low-cost fabrication and accordingly economical merits. Solution-processability of the polymers allows avoiding high-vacuum processes, further reducing the process’ complexity and cost.
However, more progress and efforts are needed for practical application development; polymer-based memories still have challenges, such as the following: (1) operation robustness, (2) scalability, and (3) long-term air-stability. As robust operation and scalable memory integration are the most crucial for the success of silicon-based memory devices (i.e., DRAM and Flash memory), polymer-based memory also requires research and development in the robustness and scalability aspects. To implement robust operation, attempts should be made to remove surface traps that cause operational instability. In particular, a method to overcome the low scalability of polymer-based devices is essential to make them capable of processing a lot of information in modern products. For enhanced scalability, it is essential to develop a polymer material compatible with the lithography process. In addition, the verification of air stability, which is an issue of organic materials, is also required. For practical use of polymer memory, it must be verified that it operates without degradation even after years of use and exposure to air. However, as this review introduced, the potential of polymers in next-generation memory devices is considerable enough, and we believe that in the future, polymers will be one of the keys to the development of new functional memories.

Author Contributions

H.Y. initiated the research project. S.L. and S.K. performed the literature survey and research analysis. All authors wrote and reviewed the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT) (NRF-2020R1A2C1101647 and NRF-2020M3A9E4104385).

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bi, S.; Li, Y.; He, Z.; Ouyang, Z.; Guo, Q.; Jiang, C. Self-assembly diketopyrrolopyrrole-based materials and polymer blend with enhanced crystal alignment and property for organic field-effect transistors. Org. Electron. 2019, 65, 96–99. [Google Scholar] [CrossRef]
  2. Hendsbee, A.D.; Li, Y. Performance comparisons of polymer semiconductors synthesized by direct (hetero) arylation polymerization (dhap) and conventional methods for organic thin film transistors and organic photovoltaics. Molecules 2018, 23, 1255. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Zhao, J.; Yu, P.; Qiu, S.; Zhao, Q.; Feng, L.; Ogier, S.; Tang, W.; Fan, J.; Liu, W.; Liu, Y. Universal compact model for thin-film transistors and circuit simulation for low-cost flexible large area electronics. IEEE Trans. Electron Devices 2017, 64, 2030–2037. [Google Scholar] [CrossRef]
  4. Zhang, C.; Sun, H.; Zhu, Q. Study on Flexible Large-Area Poly (Vinylidene Fluoride)-Based Piezoelectric Films Prepared by Extrusion-Casting Process for Sensors and Microactuators. Mater. Chem. Phys. 2022, 275, 125221. [Google Scholar] [CrossRef]
  5. Liu, Y.; Wang, H.; Zhao, W.; Zhang, M.; Qin, H.; Xie, Y. Flexible, stretchable sensors for wearable health monitoring: Sensing mechanisms, materials, fabrication strategies and features. Sensors 2018, 18, 645. [Google Scholar] [CrossRef] [Green Version]
  6. Guo, L.; Zhu, X.; Sun, S.; Cong, C.; Zhou, Q.; Sun, X.; Liu, Y. Flexible semi-transparent organic transistors and circuits based on easily prepared polyphenyleneoxide dielectric. Org. Electron. 2019, 69, 308–312. [Google Scholar] [CrossRef]
  7. Mizukami, M.; Cho, S.-I.; Watanabe, K.; Abiko, M.; Suzuri, Y.; Tokito, S.; Kido, J. Flexible organic light-emitting diode displays driven by inkjet-printed high-mobility organic thin-film transistors. IEEE Electron Device Lett. 2017, 39, 39–42. [Google Scholar] [CrossRef]
  8. Gao, M.; Li, L.; Song, Y. Inkjet printing wearable electronic devices. J. Mater. Chem. C 2017, 5, 2971–2993. [Google Scholar] [CrossRef]
  9. Hong, A.J.; Song, E.B.; Yu, H.S.; Allen, M.J.; Kim, J.; Fowler, J.D.; Wassei, J.K.; Park, Y.; Wang, Y.; Zou, J. Graphene flash memory. ACS Nano 2011, 5, 7812–7817. [Google Scholar] [CrossRef]
  10. Xiang, J.; Li, X.; Ma, Y.; Zhao, Q.; Ho, C.-L.; Wong, W.-Y. Efficient flash memory devices based on non-conjugated ferrocene-containing copolymers. J. Mater. Chem. C 2018, 6, 11348–11355. [Google Scholar] [CrossRef]
  11. Kim, M.; Ha, J.; Kwon, I.; Han, J.H.; Cho, S.; Cho, I.H. A novel one-transistor dynamic random-access memory (1T DRAM) featuring partially inserted wide-bandgap double barriers for high-temperature applications. Micromachines 2018, 9, 581. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Ling, Q.-D.; Chang, F.-C.; Song, Y.; Zhu, C.-X.; Liaw, D.-J.; Chan, D.S.-H.; Kang, E.-T.; Neoh, K.-G. Synthesis, dynamic random access memory behavior of a functional polyimide. J. Am. Chem. Soc. 2006, 128, 8732–8733. [Google Scholar] [CrossRef] [PubMed]
  13. Geier, M.L.; McMorrow, J.J.; Xu, W.; Zhu, J.; Kim, C.H.; Marks, T.J.; Hersam, M.C. Solution-processed carbon nanotube thin-film complementary static random access memory. Nat. Nanotechnol. 2015, 10, 944–948. [Google Scholar] [CrossRef]
  14. Avila-Niño, J.; Patchett, E.; Taylor, D.; Assender, H.; Yeates, S.; Ding, Z.; Morrison, J. Stable organic static random access memory from a roll-to-roll compatible vacuum evaporation process. Org. Electron. 2016, 31, 77–81. [Google Scholar] [CrossRef] [Green Version]
  15. Kim, E.K.; Kim, J.-H.; Lee, D.U.; Kim, G.H.; Kim, Y.-H. Characterization of nano-floating gate memory with zno nanoparticles embedded in polymeric matrix. Jpn. J. Appl. Phys. 2006, 45, 7209. [Google Scholar] [CrossRef]
  16. Liu, Z.; Xue, F.; Su, Y.; Lvov, Y.M.; Varahramyan, K. Memory effect of a polymer thin-film transistor with self-assembled gold nanoparticles in the gate dielectric. IEEE Trans. Nanotechnol. 2006, 5, 379–384. [Google Scholar]
  17. Reece, T.J.; Ducharme, S.; Sorokin, A.; Poulsen, M. Nonvolatile memory element based on a ferroelectric polymer langmuir–blodgett film. Appl. Phys. Lett. 2003, 82, 142–144. [Google Scholar] [CrossRef] [Green Version]
  18. Wu, J.; McCreery, R.L. Solid-state electrochemistry in molecule/tio2 molecular heterojunctions as the basis of the tio2 “memristor”. J. Electrochem. Soc. 2008, 156, P29. [Google Scholar] [CrossRef] [Green Version]
  19. Ha, H.; Kim, O. Bipolar switching characteristics of nonvolatile memory devices based on poly (3, 4-ethylenedioxythiophene): Poly (styrenesulfonate) thin film. Appl. Phys. Lett. 2008, 93, 265. [Google Scholar] [CrossRef] [Green Version]
  20. Casalbore-Miceli, G.; Camaioni, N.; Geri, A.; Ridolfi, G.; Zanelli, A.; Gallazzi, M.C.; Maggini, M.; Benincori, T. “Solid state charge trapping”: Examples of polymer systems showing memory effect. J. Electroanal. Chem. 2007, 603, 227–234. [Google Scholar] [CrossRef] [Green Version]
  21. Yu, A.D.; Tung, W.Y.; Chiu, Y.C.; Chueh, C.C.; Liou, G.S.; Chen, W.C. Multilevel nonvolatile flexible organic field-effect transistor memories employing polyimide electrets with different charge-transfer effects. Macromol. Rapid Commun. 2014, 35, 1039–1045. [Google Scholar] [CrossRef]
  22. Koliopoulou, S.; Dimitrakis, P.; Goustouridis, D.; Normand, P.; Pearson, C.; Petty, M.; Radamson, H.; Tsoukalas, D. Metal nano-floating gate memory devices fabricated at low temperature. Microelectron. Eng. 2006, 83, 1563–1566. [Google Scholar] [CrossRef]
  23. Paul, S.; Pearson, C.; Molloy, A.; Cousins, M.; Green, M.; Kolliopoulou, S.; Dimitrakis, P.; Normand, P.; Tsoukalas, D.; Petty, M. Langmuir—blodgett film deposition of metallic nanoparticles, their application to electronic memory structures. Nano Lett. 2003, 3, 533–536. [Google Scholar] [CrossRef]
  24. Leong, W.L.; Lee, P.S.; Lohani, A.; Lam, Y.M.; Chen, T.; Zhang, S.; Dodabalapur, A.; Mhaisalkar, S.G. Non-volatile organic memory applications enabled by in situ synthesis of gold nanoparticles in a self-assembled block copolymer. Adv. Mater. 2008, 20, 2325–2331. [Google Scholar] [CrossRef]
  25. Chen, C.-C.; Chiu, M.-Y.; Sheu, J.-T.; Wei, K.-H. Photoresponses, memory effects in organic thin film transistors incorporating poly (3-hexylthiophene)/cdse quantum dots. Appl. Phys. Lett. 2008, 92, 143105. [Google Scholar] [CrossRef] [Green Version]
  26. Kim, J.-M.; Lee, D.-H.; Jeun, J.-H.; Lee, H.H.; Ko, S.S.; Yeon, I.-J.; Kim, Y.-S. Organic thin film transistor memory based on cdse nanoparticle/pmma blend as a tunneling layer. Memory 2004, 29, 833–837. [Google Scholar]
  27. Kim, S.S.; Cho, W.-J.; Ahn, C.-G.; Im, K.; Yang, J.-H.; Baek, I.-B.; Lee, S.; Lim, K.S. Fabrication of fin field-effect transistor silicon nanocrystal floating gate memory using photochemical vapor deposition. Appl. Phys. Lett. 2006, 88, 223502. [Google Scholar] [CrossRef] [Green Version]
  28. Guarini, K.W.; Black, C.T.; Zhang, Y.; Babich, I.V.; Sikorski, E.M.; Gignac, L.M. Low voltage, scalable nanocrystal FLASH memory fabricated by templated self assembly. In Proceedings of the IEEE International Electron Devices Meeting 2003, Washington, DC, USA, 8–10 December 2003; IEEE: Piscataway, NJ, USA, 2003. [Google Scholar]
  29. Baeg, K.J.; Noh, Y.Y.; Sirringhaus, H.; Kim, D.Y. Controllable shifts in threshold voltage of top-gate polymer field-effect transistors for applications in organic nano floating gate memory. Adv. Funct. Mater. 2010, 20, 224–230. [Google Scholar] [CrossRef]
  30. Zhang, J.-Y.; Liu, L.-M.; Su, Y.-J.; Gao, X.; Liu, C.-H.; Liu, J.; Dong, B.; Wang, S.-D. Synergistic effect in organic field-effect transistor nonvolatile memory utilizing bimetal nanoparticles as nano-floating-gate. Org. Electron. 2015, 25, 324–328. [Google Scholar] [CrossRef]
  31. Kim, C.; Song, J.-M.; Lee, J.-S.; Lee, M.J. All-solution-processed nonvolatile flexible nano-floating gate memory devices. Nanotechnology 2013, 25, 014016. [Google Scholar] [CrossRef]
  32. Shiono, F.; Abe, H.; Nagase, T.; Kobayashi, T.; Naito, H. Optical memory characteristics of solution-processed organic transistors with self-organized organic floating gates for printable multi-level storage devices. Org. Electron. 2019, 67, 109–115. [Google Scholar] [CrossRef]
  33. Hwang, S.K.; Park, T.J.; Kim, K.L.; Cho, S.M.; Jeong, B.J.; Park, C. Organic one-transistor-type nonvolatile memory gated with thin ionic liquid-polymer film for low voltage operation. ACS Appl. Mater. Interfaces 2014, 6, 20179–20187. [Google Scholar] [CrossRef]
  34. Li, J.; Yan, F. Solution-processable low-voltage, flexible floating-gate memories based on an n-type polymer semiconductor, high-k polymer gate dielectrics. ACS Appl. Mater. Interfaces 2014, 6, 12815–12820. [Google Scholar] [CrossRef]
  35. Lin, W.; Chen, G.; Li, E.; He, L.; Yu, W.; Peng, G.; Chen, H.; Guo, T. Nonvolatile multilevel photomemory based on lead-free double perovskite Cs2AgBiBr6 nanocrystals wrapped within SiO2 as a charge trapping layer. ACS Appl. Mater. Interfaces 2020, 12, 43967–43975. [Google Scholar] [CrossRef] [PubMed]
  36. Artemyev, M.; Woggon, U.; Jaschinski, H.; Gurinovich, L.; Gaponenko, S. Spectroscopic study of electronic states in an ensemble of close-packed cdse nanocrystals. J. Phys. Chem. B 2000, 104, 11617–11621. [Google Scholar] [CrossRef]
  37. Kim, C.; Kim, J.Y.; Lee, K.; Jung, S.Y.; Yun, D.-J.; An, T.K.; Lee, H.S.; Jeong, Y.J.; Lee, J. Surface-modified quantum-dot floating layer using novel thiol with large dipole moment for improved feasibility of light-erasable organic transistor memory applications. J. Ind. Eng. Chem. 2020, 85, 111–117. [Google Scholar] [CrossRef]
  38. Samanta, S.K.; Singh, P.K.; Yoo, W.J.; Samudra, G.; Yeo, Y.C.; Bera, L.K.; Balasubramanian, N. Enhancement of memory window in short channel non-volatile memory devices using double layer tungsten nanocrystals. In Proceedings of the IEEE InternationalElectron Devices Meeting, 2005. IEDM Technical Digest, Washington, DC, USA, 5–7 December 2005; IEEE: Piscataway, NJ, USA, 2005. [Google Scholar]
  39. Li, Q.; Li, T.; Zhang, Y.; Zhao, H.; Li, J.; Yao, J. Dual-functional optoelectronic memories based on ternary hybrid floating gate layers. Nanoscale 2021, 13, 3295–3303. [Google Scholar] [CrossRef] [PubMed]
  40. Sun, S.; Zhang, S. Nanoparticle floating-gate transistor memory based on solution-processed ambipolar organic semiconductor. In E3S Web of Conferences; EDP Sciences: Ulis, France, 2020. [Google Scholar]
  41. Higashinakaya, M.; Nagase, T.; Abe, H.; Hattori, R.; Tazuhara, S.; Kobayashi, T.; Naito, H. Electrically programmable multilevel nonvolatile memories based on solution-processed organic floating-gate transistors. Appl. Phys. Lett. 2021, 118, 103301. [Google Scholar] [CrossRef]
  42. Wu, C.; Wang, W.; Song, J. Molecular floating-gate organic nonvolatile memory with a fully solution processed core architecture. Appl. Phys. Lett. 2016, 109, 223301. [Google Scholar] [CrossRef]
  43. Chen, Y.-C.; Lin, Y.-C.; Hsieh, H.-C.; Hsu, L.-C.; Yang, W.-C.; Isono, T.; Satoh, T.; Chen, W.-C. Improving the performance of photonic transistor memory devices using conjugated block copolymers as a floating gate. J. Mater. Chem. C 2021, 9, 1259–1268. [Google Scholar] [CrossRef]
  44. Yang, W.-C.; Lin, Y.-C.; Liao, M.-Y.; Hsu, L.-C.; Lam, J.-Y.; Chuang, T.-H.; Li, G.-S.; Yang, Y.-F.; Chueh, C.-C.; Chen, W.-C. Comprehensive non-volatile photo-programming transistor memory via a dual-functional perovskite-based floating gate. ACS Appl. Mater. Interfaces 2021, 13, 20417–22026. [Google Scholar] [CrossRef] [PubMed]
  45. Lan, S.; Zhong, J.; Li, E.; Yan, Y.; Wu, X.; Chen, Q.; Lin, W.; Chen, H.; Guo, T. High-performance nonvolatile organic photoelectronic transistor memory based on bulk heterojunction structure. ACS Appl. Mater. Interfaces 2020, 12, 31716–33124. [Google Scholar] [CrossRef]
  46. Li, Q.; Li, T.; Zhang, Y.; Chen, Z.; Li, Y.; Jin, L.; Zhao, H.; Li, J.; Yao, J. Photoerasable organic field-effect transistor memory based on a one-step solution-processed hybrid floating gate layer. J. Phys. Chem. C 2020, 124, 23343–23351. [Google Scholar] [CrossRef]
  47. Jeong, Y.J.; Yun, D.-J.; Kim, S.H.; Jang, J.; Park, C.E. Photoinduced recovery of organic transistor memories with photoactive floating-gate interlayers. ACS Appl. Mater. Interfaces 2017, 9, 11759–11769. [Google Scholar] [CrossRef] [PubMed]
  48. Jin, R.; Wang, J.; Shi, K.; Qiu, B.; Ma, L.; Huang, S.; Li, Z. Multilevel storage, photoinduced-reset memory by an inorganic perovskite quantum-dot/polystyrene floating-gate organic transistor. RSC Adv. 2020, 10, 43225–43232. [Google Scholar] [CrossRef]
  49. Zhou, Y.; Han, S.-T.; Sonar, P.; Roy, V. Nonvolatile multilevel data storage memory device from controlled ambipolar charge trapping mechanism. Sci. Rep. 2013, 3, 2319. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Xu, T.; Guo, S.; Qi, W.; Li, S.; Xu, M.; Wang, W. Organic transistor nonvolatile memory with three-level information storage, optical detection functions. ACS Appl. Mater. Interfaces 2020, 12, 21952–21960. [Google Scholar] [CrossRef]
  51. Sun, Q.; Ho, D.H.; Choi, Y.; Pan, C.; Kim, D.H.; Wang, Z.L.; Cho, J.H. Piezopotential-programmed multilevel nonvolatile memory as triggered by mechanical stimuli. ACS Nano 2016, 10, 11037–11043. [Google Scholar] [CrossRef]
  52. Jeong, Y.J.; Yun, D.-J.; Noh, S.H.; Park, C.E.; Jang, J. Surface modification of cdse quantum-dot floating gates for advancing light-erasable organic field-effect transistor memories. ACS Nano 2018, 12, 7701–7709. [Google Scholar] [CrossRef]
  53. Scharnberg, M.; Rehders, S.; Adiyaman, Ö.; Schröder, S.; Strunskus, T.; Faupel, F. Evaporated electret films with superior charge stability based on teflon af 2400. Org. Electron. 2019, 70, 167–171. [Google Scholar] [CrossRef]
  54. Bodurov, I.; Viraneva, A.; Yovcheva, T. Electret, dielectric properties of lyophilized polymer films. J. Phys. Conf. Ser. 2019, 1186, 012013. [Google Scholar] [CrossRef]
  55. Baeg, K.J.; Noh, Y.Y.; Ghim, J.; Lim, B.; Kim, D.Y. Polarity effects of polymer gate electrets on non-volatile organic field-effect transistor memory. Adv. Funct. Mater. 2008, 18, 3678–3685. [Google Scholar] [CrossRef]
  56. Kim, J.; Ho, D.; Kim, I.S.; Kim, M.-G.; Baeg, K.-J.; Kim, C. Solution-processed flexible nonvolatile organic field-effect transistor memory using polymer electret. Org. Electron. 2021, 99, 106331. [Google Scholar] [CrossRef]
  57. Cheng, S.-W.; Chien, Y.-H.C.; Huang, T.-Y.; Liu, C.-L.; Liou, G.-S. Linkage effects of triphenylamine-based aromatic polymer electrets on electrical memory performance. Polymer 2018, 148, 382–389. [Google Scholar] [CrossRef]
  58. He, W.; Xu, W.; He, H.; Jing, X.; Liu, C.; Feng, J.; Luo, C.; Fan, Z.; Wu, S.; Gao, J. From unipolar, worm-type to ambipolar, bistable organic electret memory device by controlling minority lateral transport. Adv. Electron. Mater. 2020, 6, 1901320. [Google Scholar] [CrossRef]
  59. Chang, M.-F.; Lee, P.-T.; McAlister, S.; Chin, A. A flexible organic pentacene nonvolatile memory based on high-κ dielectric layers. Appl. Phys. Lett. 2008, 93, 439. [Google Scholar] [CrossRef]
  60. Lu, G.; Koch, N.; Neher, D. In-situ tuning threshold voltage of field-effect transistors based on blends of poly (3-hexylthiophene) with an insulator electret. Appl. Phys. Lett. 2015, 107, 063301. [Google Scholar] [CrossRef] [Green Version]
  61. Zhang, Q.; Barrett, B.; Lee, T.; Mukhopadhyaya, T.; Lu, C.; Plunkett, E.C.; Kale, T.; Chi, C.; Livi, K.J.; McGuiggan, P. Maximized hole trapping in a polystyrene transistor dielectric from a highly branched iminobis (aminoarene) side chain. ACS Appl. Mater. Interfaces 2021, 13, 34584–34596. [Google Scholar] [CrossRef]
  62. Yang, S.M.; Yoon, J.-G.; Noh, T.W. Nanoscale studies of defect-mediated polarization switching dynamics in ferroelectric thin film capacitors. Curr. Appl. Phys. 2011, 11, 1111–1125. [Google Scholar] [CrossRef]
  63. Nelson, C.T.; Gao, P.; Jokisaari, J.R.; Heikes, C.; Adamo, C.; Melville, A.; Baek, S.-H.; Folkman, C.M.; Winchester, B.; Gu, Y. Domain dynamics during ferroelectric switching. Science 2011, 334, 968–971. [Google Scholar] [CrossRef] [Green Version]
  64. Fitsilis, M.; Kohlstedt, H.; Waser, R.; Ullmann, M. A new concept for using ferroelectric transistors in nonvolatile memories. Integr. Ferroelectr. 2004, 60, 45–58. [Google Scholar] [CrossRef]
  65. Aizawa, K.; Park, B.-E.; Kawashima, Y.; Takahashi, K.; Ishiwara, H. Impact of hfo 2 buffer layers on data retention characteristics of ferroelectric-gate field-effect transistors. Appl. Phys. Lett. 2004, 85, 3199–3201. [Google Scholar] [CrossRef]
  66. Eshita, T.; Wang, W.; Nomura, K.; Nakamura, K.; Saito, H.; Yamaguchi, H.; Mihara, S.; Hikosaka, Y.; Kataoka, Y.; Kojima, M. Development of highly reliable ferroelectric random access memory, its internet of things applications. Jpn. J. Appl. Phys. 2018, 57, 11UA01. [Google Scholar] [CrossRef]
  67. Khanna, S.; Jung, M.; Zwerg, M.; Bartling, S. Ferro-Electric RAM Based Microcontrollers: Ultra-Low Power Intelligence for the Internet of Things. In Enabling the Internet of Things; Springer: Cham, Switzerland, 2017; pp. 503–520. [Google Scholar]
  68. Zhu, L.; Wang, Q. Novel ferroelectric polymers for high energy density, low loss dielectrics. Macromolecules 2012, 45, 2937–2954. [Google Scholar] [CrossRef]
  69. Wu, T.; Jin, H.; Dong, S.; Xuan, W.; Xu, H.; Lu, L.; Fang, Z.; Huang, S.; Tao, X.; Shi, L. A flexible film bulk acoustic resonator based on β-phase polyvinylidene fluoride polymer. Sensors 2020, 20, 1346. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Furukawa, T. Ferroelectric properties of vinylidene fluoride copolymers. Phase Transit. Multinatl. J. 1989, 18, 143–211. [Google Scholar] [CrossRef]
  71. Carroli, M.; Dixon, A.G.; Herder, M.; Pavlica, E.; Hecht, S.; Bratina, G.; Orgiu, E.; Samorì, P. Multiresponsive nonvolatile memories based on optically switchable ferroelectric organic field-effect transistors. Adv. Mater. 2021, 33, 2007965. [Google Scholar] [CrossRef]
  72. Xu, Q.; Liu, X.; Wan, B.; Yang, Z.; Li, F.; Lu, J.; Hu, G.; Pan, C.; Wang, Z.L. In2O3 nanowire field-effect transistors with sub-60 mv/dec subthreshold swing stemming from negative capacitance, their logic applications. ACS Nano 2018, 12, 9608–9616. [Google Scholar] [CrossRef]
  73. Majumdar, S. Ultrafast Switching and Linear Conductance Modulation in Ferroelectric Tunnel Junctions via P (VDF-TrFE) Morphology Control. Nanoscale 2021, 13, 11270–11278. [Google Scholar] [CrossRef] [PubMed]
  74. Ghittorelli, M.; Lenz, T.; Dehsari, H.S.; Zhao, D.; Asadi, K.; Blom, P.W.; Kovács-Vajna, Z.M.; de Leeuw, D.M.; Torricelli, F. Quantum tunnelling, charge accumulation in organic ferroelectric memory diodes. Nat. Commun. 2017, 8, 15741. [Google Scholar]
  75. Kumar, M.; Dehsari, H.S.; Anwar, S.; Asadi, K. Air-stable memory array of bistable rectifying diodes based on ferroelectric-semiconductor polymer blends. Appl. Phys. Lett. 2018, 112, 123302. [Google Scholar] [CrossRef]
  76. Kumar, M.; Georgiadou, D.G.; Seitkhan, A.; Loganathan, K.; Yengel, E.; Faber, H.; Naphade, D.; Basu, A.; Anthopoulos, T.D.; Asadi, K. Colossal tunneling electroresistance in co-planar polymer ferroelectric tunnel junctions. Adv. Electron. Mater. 2020, 6, 1901091. [Google Scholar] [CrossRef] [Green Version]
  77. Kim, T.Y.; Anoop, G.; Son, Y.J.; Kim, S.H.; Lee, E.; Jo, J.Y. Ferroelectric-mediated filamentary resistive switching in P (vdf-trfe)/zno nanocomposite films. Phys. Chem. Chem. Phys. 2018, 20, 16176–16183. [Google Scholar] [CrossRef] [PubMed]
  78. Lenz, T.; Ghittorelli, M.; Benneckendorf, F.S.; Asadi, K.; Kasparek, C.; Glasser, G.; Blom, P.W.; Torricelli, F.; de Leeuw, D.M. Downscaling, charge transport in nanostructured ferroelectric memory diodes fabricated by solution micromolding. Adv. Funct. Mater. 2016, 26, 5111–5119. [Google Scholar] [CrossRef]
  79. Kim, D.; Lu, H.; Ryu, S.; Bark, C.-W.; Eom, C.-B.; Tsymbal, E.; Gruverman, A. Ferroelectric tunnel memristor. Nano Lett. 2012, 12, 5697–5702. [Google Scholar] [CrossRef] [PubMed]
  80. Kanaparthi, S.; Badhulika, S. Solvent-free fabrication of a biodegradable all-carbon paper based field effect transistor for human motion detection through strain sensing. Green Chem. 2016, 18, 3640–3646. [Google Scholar] [CrossRef] [Green Version]
  81. Chang, J.; Shin, C.H.; Park, Y.J.; Kang, S.J.; Jeong, H.J.; Kim, K.J.; Hawker, C.J.; Russell, T.P.; Ryu, D.Y.; Park, C. Polymeric gate dielectric interlayer of cross-linkable poly (styrene-r-methylmethacrylate) copolymer for ferroelectric pvdf-trfe field effect transistor memory. Org. Electron. 2009, 10, 849–856. [Google Scholar] [CrossRef]
  82. Nguyen, C.; Mhaisalkar, S.; Ma, J.; Lee, P. Enhanced organic ferroelectric field effect transistor characteristics with strained poly (vinylidene fluoride-trifluoroethylene) dielectric. Org. Electron. 2008, 9, 1087–1092. [Google Scholar] [CrossRef]
  83. Kang, S.J.; Bae, I.; Park, Y.J.; Park, T.H.; Sung, J.; Yoon, S.C.; Kim, K.H.; Choi, D.H.; Park, C. Non-volatile ferroelectric poly (vinylidene fluoride-co-trifluoroethylene) memory based on a single-crystalline tri-isopropylsilylethynyl pentacene field-effect transistor. Adv. Funct. Mater. 2009, 19, 1609–1616. [Google Scholar] [CrossRef]
  84. Xu, T.; Xiang, L.; Xu, M.; Xie, W.; Wang, W. Excellent low-voltage operating flexible ferroelectric organic transistor nonvolatile memory with a sandwiching ultrathin ferroelectric film. Sci. Rep. 2017, 7, 8890. [Google Scholar] [CrossRef] [Green Version]
  85. Xu, M.; Guo, S.; Xu, T.; Xie, W.; Wang, W. Low-voltage programmable/erasable high performance flexible organic transistor nonvolatile memory based on a tetratetracontane passivated ferroelectric terpolymer. Org. Electron. 2019, 64, 62–70. [Google Scholar] [CrossRef]
  86. Song, L.; Wang, Y.; Gao, Q.; Guo, Y.; Wang, Q.; Qian, J.; Jiang, S.; Wu, B.; Wang, X.; Shi, Y. Speed up ferroelectric organic transistor memories by using two-dimensional molecular crystalline semiconductors. ACS Appl. Mater. Interfaces 2017, 9, 18127–18133. [Google Scholar] [CrossRef]
  87. Kim, K.L.; Lee, W.; Hwang, S.K.; Joo, S.H.; Cho, S.M.; Song, G.; Cho, S.H.; Jeong, B.; Hwang, I.; Ahn, J.-H. Epitaxial growth of thin ferroelectric polymer films on graphene layer for fully transparent, flexible nonvolatile memory. Nano Lett. 2016, 16, 334–340. [Google Scholar] [CrossRef]
  88. Lee, Y.T.; Kwon, H.; Kim, J.S.; Kim, H.-H.; Lee, Y.J.; Lim, J.A.; Song, Y.-W.; Yi, Y.; Choi, W.-K.; Hwang, D.K. Nonvolatile ferroelectric memory circuit using black phosphorus nanosheet-based field-effect transistors with P (vdf-trfe) polymer. ACS Nano 2015, 9, 10394–10401. [Google Scholar] [CrossRef]
  89. Tian, H.; Wang, X.; Zhu, Y.; Liao, L.; Wang, X.; Wang, J.; Hu, W. High performance top-gated ferroelectric field effect transistors based on two-dimensional zno nanosheets. Appl. Phys. Lett. 2017, 110, 043505. [Google Scholar] [CrossRef]
  90. Hassanpour Amiri, M.; Heidler, J.; Müllen, K.; Asadi, K. Design rules for memories based on graphene ferroelectric field-effect transistors. ACS Appl. Electron. Mater. 2019, 2, 2–8. [Google Scholar] [CrossRef] [Green Version]
  91. Das, S.; Demarteau, M.; Roelofs, A. Ambipolar phosphorene field effect transistor. ACS Nano 2014, 8, 11730–11738. [Google Scholar] [CrossRef]
  92. Zhang, S.; Yang, J.; Xu, R.; Wang, F.; Li, W.; Ghufran, M.; Zhang, Y.-W.; Yu, Z.; Zhang, G.; Qin, Q. Extraordinary photoluminescence, strong temperature/angle-dependent raman responses in few-layer phosphorene. ACS Nano 2014, 8, 9590–9596. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Kim, J.-R.; Boampong, A.A.; Choi, Y.; Kim, M.-H. Ferroelectric-dielectric mixed buffer layer for enhanced electrical performance of organic ferroelectric memory transistors. J. Nanosci. Nanotechnol. 2019, 19, 4651–4656. [Google Scholar] [CrossRef] [PubMed]
  94. Yang, J.J.; Pickett, M.D.; Li, X.; Ohlberg, D.A.; Stewart, D.R.; Williams, R.S. Memristive switching mechanism for metal/oxide/metal nanodevices. Nat. Nanotechnol. 2008, 3, 429–433. [Google Scholar] [CrossRef]
  95. Ree, B.J.; Isono, T.; Satoh, T. Chemically controlled volatile, nonvolatile resistive memory characteristics of novel oxygen-based polymers. ACS Appl. Mater. Interfaces 2020, 12, 28435–28445. [Google Scholar] [CrossRef] [PubMed]
  96. Liao, K.; Lei, P.; Tu, M.; Luo, S.; Jiang, T.; Jie, W.; Hao, J. Memristor based on inorganic, organic two-dimensional materials: Mechanisms, performance, synaptic applications. ACS Appl. Mater. Interfaces 2021, 13, 32606–32623. [Google Scholar] [CrossRef] [PubMed]
  97. Lv, W.; Wang, H.; Jia, L.; Tang, X.; Lin, C.; Yuwen, L.; Wang, L.; Huang, W.; Chen, R. Tunable nonvolatile memory behaviors of pcbm–mos2 2d nanocomposites through surface deposition ratio control. ACS Appl. Mater. Interfaces 2018, 10, 6552–6559. [Google Scholar] [CrossRef]
  98. Minnekhanov, A.A.; Shvetsov, B.S.; Martyshov, M.M.; Nikiruy, K.E.; Kukueva, E.V.; Presnyakov, M.Y.; Forsh, P.A.; Rylkov, V.V.; Erokhin, V.V.; Demin, V.A. On the resistive switching mechanism of parylene-based memristive devices. Org. Electron. 2019, 74, 89–95. [Google Scholar] [CrossRef]
  99. Jang, B.C.; Kim, S.; Yang, S.Y.; Park, J.; Cha, J.-H.; Oh, J.; Choi, J.; Im, S.G.; Dravid, V.P.; Choi, S.-Y. Polymer analog memristive synapse with atomic-scale conductive filament for flexible neuromorphic computing system. Nano Lett. 2019, 19, 839–849. [Google Scholar] [CrossRef] [PubMed]
  100. Chen, Q.; Lin, M.; Wang, Z.; Zhao, X.; Cai, Y.; Liu, Q.; Fang, Y.; Yang, Y.; He, M.; Huang, R. Low power parylene-based memristors with a graphene barrier layer for flexible electronics applications. Adv. Electron. Mater. 2019, 5, 1800852. [Google Scholar] [CrossRef]
  101. Leydecker, T.; Herder, M.; Pavlica, E.; Bratina, G.; Hecht, S.; Orgiu, E.; Samorì, P. Flexible non-volatile optical memory thin-film transistor device with over 256 distinct levels based on an organic bicomponent blend. Nat. Nanotechnol. 2016, 11, 769–775. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Chen, H.; Cheng, N.; Ma, W.; Li, M.; Hu, S.; Gu, L.; Meng, S.; Guo, X. Design of a photoactive hybrid bilayer dielectric for flexible nonvolatile organic memory transistors. ACS Nano 2016, 10, 436–445. [Google Scholar] [CrossRef]
  103. Perrier, A.; Maurel, F.; Jacquemin, D. Single molecule multiphotochromism with diarylethenes. Acc. Chem. Res. 2012, 45, 1173–1182. [Google Scholar] [CrossRef] [PubMed]
  104. Yun, C.; You, J.; Kim, J.; Huh, J.; Kim, E. Photochromic fluorescence switching from diarylethenes, its applications. J. Photochem. Photobiol. C Photochem. Rev. 2009, 10, 111–129. [Google Scholar] [CrossRef]
  105. Shih, C.-C.; Chiang, Y.-C.; Hsieh, H.-C.; Lin, Y.-C.; Chen, W.-C. Multilevel photonic transistor memory devices using conjugated/insulated polymer blend electrets. ACS Appl. Mater. Interfaces 2019, 11, 42429–44237. [Google Scholar] [CrossRef]
  106. Hong, S.; Park, J.; Lee, J.J.; Lee, S.; Yun, K.; Yoo, H.; Kim, S. Multifunctional molybdenum disulfide flash memory using a pedot: Pss floating gate. NPG Asia Mater. 2021, 13, 38. [Google Scholar] [CrossRef]
  107. Yi, M.; Xie, M.; Shao, Y.; Li, W.; Ling, H.; Xie, L.; Yang, T.; Fan, Q.; Zhu, J.; Huang, W. Light programmable/erasable organic field-effect transistor ambipolar memory devices based on the pentacene/pvk active layer. J. Mater. Chem. C 2015, 3, 5220–5225. [Google Scholar] [CrossRef]
  108. Ercan, E.; Chen, J.-Y.; Shih, C.-C.; Chueh, C.-C.; Chen, W.-C. Influence of polymeric electrets on the performance of derived hybrid perovskite-based photo-memory devices. Nanoscale 2018, 10, 18869–18877. [Google Scholar] [CrossRef]
  109. Jung, R.; Brauer, E.J.; Abbas, J.J. Real-time interaction between a neuromorphic electronic circuit, the spinal cord. IEEE Trans. Neural Syst. Rehabil. Eng. 2001, 9, 319–326. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Melianas, A.; Quill, T.; LeCroy, G.; Tuchman, Y.; Loo, H.v.; Keene, S.; Giovannitti, A.; Lee, H.; Maria, I.; McCulloch, I. Temperature-resilient solid-state organic artificial synapses for neuromorphic computing. Sci. Adv. 2020, 6, eabb2958. [Google Scholar] [CrossRef]
  111. Kong, L.-a.; Sun, J.; Qian, C.; Gou, G.; He, Y.; Yang, J.; Gao, Y. Ion-gel gated field-effect transistors with solution-processed oxide semiconductors for bioinspired artificial synapses. Org. Electron. 2016, 39, 64–70. [Google Scholar] [CrossRef]
  112. Park, Y.; Kim, M.-K.; Lee, J.-S. Artificial synaptic transistors based on schottky barrier height modulation using reduced graphene oxides. Carbon 2020, 165, 455–460. [Google Scholar] [CrossRef]
  113. Go, G.-T.; Lee, Y.; Seo, D.-G.; Pei, M.; Lee, W.; Yang, H.; Lee, T.-W. Achieving microstructure-controlled synaptic plasticity, long-term retention in ion-gel-gated organic synaptic transistors. Adv. Intell. Syst. 2020, 2, 2000012. [Google Scholar] [CrossRef]
  114. Sun, H.; Luo, Z.; Zhao, L.; Liu, C.; Ma, C.; Lin, Y.; Gao, G.; Chen, Z.; Bao, Z.; Jin, X. Bifeo3-based flexible ferroelectric memristors for neuromorphic pattern recognition. ACS Appl. Electron. Mater. 2020, 2, 1081–1089. [Google Scholar] [CrossRef]
  115. Albano, L.G.; Vello, T.P.; de Camargo, D.H.; da Silva, R.M.; Padilha, A.C.; Fazzio, A.; Bufon, C.C. Ambipolar resistive switching in an ultrathin surface-supported metal–organic framework vertical heterojunction. Nano Lett. 2020, 20, 1080–1088. [Google Scholar] [CrossRef]
  116. Wang, H.; Zhao, Q.; Ni, Z.; Li, Q.; Liu, H.; Yang, Y.; Wang, L.; Ran, Y.; Guo, Y.; Hu, W. A ferroelectric/electrochemical modulated organic synapse for ultraflexible, artificial visual-perception system. Adv. Mater. 2018, 30, 1803961. [Google Scholar] [CrossRef] [PubMed]
  117. Kim, S.; Heo, K.; Lee, S.; Seo, S.; Kim, H.; Cho, J.; Lee, H.; Lee, K.-B.; Park, J.-H. Ferroelectric polymer-based artificial synapse for neuromorphic computing. Nanoscale Horiz. 2021, 6, 139–147. [Google Scholar] [CrossRef]
  118. Yu, T.-F.; Chen, H.-Y.; Liao, M.-Y.; Tien, H.-C.; Chang, T.-T.; Chueh, C.-C.; Lee, W.-Y. Solution-processable anion-doped conjugated polymer for nonvolatile organic transistor memory with synaptic behaviors. ACS Appl. Mater. Interfaces 2020, 12, 33968–33978. [Google Scholar] [CrossRef] [PubMed]
  119. Jang, B.C.; Yang, S.Y.; Seong, H.; Kim, S.K.; Choi, J.; Im, S.G.; Choi, S.-Y. Zero-static-power nonvolatile logic-in-memory circuits for flexible electronics. Nano Res. 2017, 10, 2459–2470. [Google Scholar] [CrossRef]
  120. Choi, C.; Leem, J.; Kim, M.S.; Taqieddin, A.; Cho, C.; Cho, K.W.; Lee, G.J.; Seung, H.; Bae, H.J.; Song, Y.M. Curved neuromorphic image sensor array using a mos 2-organic heterostructure inspired by the human visual recognition system. Nat. Commun. 2020, 11, 5934. [Google Scholar] [CrossRef]
  121. Jiao, F.; Di, C.-a.; Sun, Y.; Sheng, P.; Xu, W.; Zhu, D. Inkjet-printed flexible organic thin-film thermoelectric devices based on p-and n-type poly (metal 1, 1, 2, 2-ethenetetrathiolate) s/polymer composites through ball-milling. Philos. Trans. Royal Soc. 2014, 372, 20130008. [Google Scholar] [CrossRef] [Green Version]
  122. Punetha, D.; Kar, M.; Pandey, S.K. A new type low-cost, flexible, wearable tertiary nanocomposite sensor for room temperature hydrogen gas sensing. Sci. Rep. 2020, 10, 2151. [Google Scholar] [CrossRef]
  123. Münzenrieder, N.; Petti, L.; Zysset, C.; Kinkeldei, T.; Salvatore, G.A.; Tröster, G. Flexible self-aligned amorphous ingazno thin-film transistors with submicrometer channel length, a transit frequency of 135 mhz. IEEE Trans. Electron Devices 2013, 60, 2815–2820. [Google Scholar] [CrossRef]
  124. Lee, S.; Seong, H.; Im, S.G.; Moon, H.; Yoo, S. Organic flash memory on various flexible substrates for foldable, disposable electronics. Nat. Commun. 2017, 8, 725. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Jung, S.-W.; BonáKoo, J.; Woo Park, C.; Soon Na, B.; Park, N.-M.; Oh, J.-Y.; Gyeong Moon, Y.; Lee, S.S.; Koo, K.-W. Non-volatile organic ferroelectric memory transistors fabricated using rigid polyimide islands on an elastomer substrate. J. Mater. Chem. C 2016, 4, 4485–4490. [Google Scholar]
  126. Kang, B.; Park, N.; Min, H.; Lee, J.; Jeong, H.; Baek, S.; Cho, K.; Lee, H.S. Fully drawn all-organic flexible transistors prepared by capillary pen printing on flexible planar, curvilinear substrates. Adv. Electron. Mater. 2015, 1, 1500301. [Google Scholar] [CrossRef]
  127. Jiang, T.; Meng, X.; Zhou, Z.; Wu, Y.; Tian, Z.; Liu, Z.; Lu, G.; Eginlidil, M.; Yu, H.-D.; Liu, J. Highly flexible, degradable memory electronics comprised of all-biocompatible materials. Nanoscale 2021, 13, 724–729. [Google Scholar] [CrossRef]
  128. Wang, W.; Hwang, S.K.; Kim, K.L.; Lee, J.H.; Cho, S.M.; Park, C. Highly reliable top-gated thin-film transistor memory with semiconducting, tunneling, charge-trapping, blocking layers all of flexible polymers. ACS Appl. Mater. Interfaces 2015, 7, 10957–10965. [Google Scholar] [CrossRef] [PubMed]
  129. Li, W.; Guo, F.; Ling, H.; Zhang, P.; Yi, M.; Wang, L.; Wu, D.; Xie, L.; Huang, W. High-performance nonvolatile organic field-effect transistor memory based on organic semiconductor heterostructures of pentacene/p13/pentacene as both charge transport, trapping layers. Adv. Sci. 2017, 4, 1700007. [Google Scholar] [CrossRef]
  130. Kang, M.; Lee, S.-A.; Jang, S.; Hwang, S.; Lee, S.-K.; Bae, S.; Hong, J.-M.; Lee, S.H.; Jeong, K.-U.; Lim, J.A. Low-voltage organic transistor memory fiber with a nanograined organic ferroelectric film. ACS Appl. Mater. Interfaces 2019, 11, 22575–22582. [Google Scholar] [CrossRef]
  131. Zhou, Y.; Ding, G. Polymer Nanocomposite Materials: Applications in Integrated Electronic Devices; John Wiley & Sons: Hoboken, NJ, USA, 2021. [Google Scholar]
  132. Wu, W.; Han, S.-T.; Venkatesh, S.; Sun, Q.; Peng, H.; Zhou, Y.; Yeung, C.; Li, R.K.; Roy, V. Biodegradable skin-inspired nonvolatile resistive switching memory based on gold nanoparticles embedded alkali lignin. Org. Electron. 2018, 59, 382–388. [Google Scholar] [CrossRef]
  133. Huang, W.-Y.; Chang, Y.-C.; Sie, Y.-F.; Yu, C.-R.; Wu, C.-Y.; Hsu, Y.-L. Bio-Cellulose Substrate for Fabricating Fully Biodegradable Resistive Random Access Devices. ACS Appl. Polym. Mater. 2021, 3, 4478–4484. [Google Scholar] [CrossRef]
  134. Ji, X.; Song, L.; Zhong, S.; Jiang, Y.; Lim, K.G.; Wang, C.; Zhao, R. Biodegradable, flexible resistive memory for transient electronics. J. Phys. Chem. C 2018, 122, 16909–16915. [Google Scholar] [CrossRef]
Figure 1. Classification of the floating-gate according to material: (a) metal electrode and using an organic semiconductor (adapted from [32] with permission from Elsevier.), (b) schematic and SEM image of the blended polymer (adapted from [33] with permission Figure 33. with permission from the American Chemical Society), (c) on, off current at using blended polymer (with permission from the American Chemical Society), (d) on/off current at the metal oxide nanoparticle (adapted from [34] with permission from the American Chemical Society), and (e) the schematic of floating-gate memory using nanocrystal (adapted from [35] with permission from the American Chemical Society).
Figure 1. Classification of the floating-gate according to material: (a) metal electrode and using an organic semiconductor (adapted from [32] with permission from Elsevier.), (b) schematic and SEM image of the blended polymer (adapted from [33] with permission Figure 33. with permission from the American Chemical Society), (c) on, off current at using blended polymer (with permission from the American Chemical Society), (d) on/off current at the metal oxide nanoparticle (adapted from [34] with permission from the American Chemical Society), and (e) the schematic of floating-gate memory using nanocrystal (adapted from [35] with permission from the American Chemical Society).
Polymers 13 03774 g001
Figure 2. Working mechanisms using polymer floating-gate memory with (a) three-level (adapted from [50] with permission from the American Chemical Society) and (b) four-level information storage (adapted from [51] with permission from the American Chemical Society); accommodate memory level programming and erasing (c) using a photo (adapted from [41] with permission from AIP Publishing) and (d) a schematic diagram of photo writes (adapted from [46] with permission from the American Chemical Society); (e) principle of photo writers (adapted from [47] with permission from the American Chemical Society); (f) a graph of photo erasable memory (adapted from [52] with permission from the American Chemical Society) and (g) its principle according to energy bandgap (adapted from [52] with permission from the American Chemical Society).
Figure 2. Working mechanisms using polymer floating-gate memory with (a) three-level (adapted from [50] with permission from the American Chemical Society) and (b) four-level information storage (adapted from [51] with permission from the American Chemical Society); accommodate memory level programming and erasing (c) using a photo (adapted from [41] with permission from AIP Publishing) and (d) a schematic diagram of photo writes (adapted from [46] with permission from the American Chemical Society); (e) principle of photo writers (adapted from [47] with permission from the American Chemical Society); (f) a graph of photo erasable memory (adapted from [52] with permission from the American Chemical Society) and (g) its principle according to energy bandgap (adapted from [52] with permission from the American Chemical Society).
Polymers 13 03774 g002
Figure 3. (a) Styline-based polymer electret materials; PS, PVN, PaMS, P4MS, PVP, PVPy, and PVA (adapted from [55] with permission from John Wiley and Son). (b) Mechanism, (c) current–voltage curve, (d) retention properties of polymer electret memory using styrene-based (polystyrene-brush) PS-brush electret(adapted from [56] with permission from Elsevier). Schematic configuration of the OFET memory device and chemical structures of the polymer electret layers: (e) PITE(BMI-BMMD), PI(APS-BPA), PI(APS-ODPA)) (adapted from [21] with permission from John Wiley and Son) (f) TPA-PIS, TPA-PES, and TPA-PET (adapted from [57] with permission from MDPI).
Figure 3. (a) Styline-based polymer electret materials; PS, PVN, PaMS, P4MS, PVP, PVPy, and PVA (adapted from [55] with permission from John Wiley and Son). (b) Mechanism, (c) current–voltage curve, (d) retention properties of polymer electret memory using styrene-based (polystyrene-brush) PS-brush electret(adapted from [56] with permission from Elsevier). Schematic configuration of the OFET memory device and chemical structures of the polymer electret layers: (e) PITE(BMI-BMMD), PI(APS-BPA), PI(APS-ODPA)) (adapted from [21] with permission from John Wiley and Son) (f) TPA-PIS, TPA-PES, and TPA-PET (adapted from [57] with permission from MDPI).
Polymers 13 03774 g003
Figure 5. (a,b) Stable data storage retention over 8 × 104 s with a memory 102 of on-off in P(VDF-TrFE-CTFE) ferroelectric FETs (adapted from [84] with permission from Nature). (cf) RMS roughness of the PMMA/P(VDF-TrFE) surface with increasing PMMA concentration from 0.08 wt. % to 0.1 wt. % (adapted from [86] with permission from the American Chemical Society). (g) Ferroelectric FETs using 2D materials; graphene (adapted from [87] with permission from the American Chemical Society) and (j,k) black phosphorus (BP) (adapted from [88] with permission from the American Chemical Society). (h,i) Structural and I–V characteristic curve of ferroelectric FETs using metal oxide (ZnO) (adapted from [89] with permission from AIP Publishing).
Figure 5. (a,b) Stable data storage retention over 8 × 104 s with a memory 102 of on-off in P(VDF-TrFE-CTFE) ferroelectric FETs (adapted from [84] with permission from Nature). (cf) RMS roughness of the PMMA/P(VDF-TrFE) surface with increasing PMMA concentration from 0.08 wt. % to 0.1 wt. % (adapted from [86] with permission from the American Chemical Society). (g) Ferroelectric FETs using 2D materials; graphene (adapted from [87] with permission from the American Chemical Society) and (j,k) black phosphorus (BP) (adapted from [88] with permission from the American Chemical Society). (h,i) Structural and I–V characteristic curve of ferroelectric FETs using metal oxide (ZnO) (adapted from [89] with permission from AIP Publishing).
Polymers 13 03774 g005
Figure 7. (a) Chemical formulae of the used DAE, in its open and closed form and structure of the devices (adapted from [104] with permission from Elsevier). (b,c) Multilevel photonic transistor memory using conjugated/insulated polymer blend electrets (adapted from [105] with permission from the American Chemical Society). (df) Schematic diagram of MoS2 flash memory with a PEDOT:PSS floating gate under light illumination and transfer curves and retention curves depending on the programming operations (adapted from [106] with permission from Nature).
Figure 7. (a) Chemical formulae of the used DAE, in its open and closed form and structure of the devices (adapted from [104] with permission from Elsevier). (b,c) Multilevel photonic transistor memory using conjugated/insulated polymer blend electrets (adapted from [105] with permission from the American Chemical Society). (df) Schematic diagram of MoS2 flash memory with a PEDOT:PSS floating gate under light illumination and transfer curves and retention curves depending on the programming operations (adapted from [106] with permission from Nature).
Polymers 13 03774 g007
Figure 9. (a) Schematic diagram of the top-gate organic FET non-volatile memory with all polymers semiconducting, tunneling, charge trapping, and blocking layers. The chemical structure of each layer of polymers material (adapted from [128] with permission from the American Chemical Society). (b,c) Illustration of the fibriform memory coiled on a capillary tube with a diameter of 1.1 mm during measurement and transfer curve (adapted from [130] with permission from the American Chemical Society). (d,e) Memory characteristics after 1200 folding cycles with a folding radius of 300 μm, which is comparable to the radius of the piano wire (adapted from [124] with permission from Nature).
Figure 9. (a) Schematic diagram of the top-gate organic FET non-volatile memory with all polymers semiconducting, tunneling, charge trapping, and blocking layers. The chemical structure of each layer of polymers material (adapted from [128] with permission from the American Chemical Society). (b,c) Illustration of the fibriform memory coiled on a capillary tube with a diameter of 1.1 mm during measurement and transfer curve (adapted from [130] with permission from the American Chemical Society). (d,e) Memory characteristics after 1200 folding cycles with a folding radius of 300 μm, which is comparable to the radius of the piano wire (adapted from [124] with permission from Nature).
Polymers 13 03774 g009
Figure 10. (a) Cellulose-based memory device that degrades in five days (adapted from [133] with permission from the American Chemical Society), (b) I–V curve of the resistive switching memory device and (c) retention and on/off ratio by time of the resistive switching memory device [132]. I–V curve of the space charge limited model according to process: (d) set process and (e) reset process [134]. Additionally, (f) the schematic of carrier distribution by biasing different voltage [134].
Figure 10. (a) Cellulose-based memory device that degrades in five days (adapted from [133] with permission from the American Chemical Society), (b) I–V curve of the resistive switching memory device and (c) retention and on/off ratio by time of the resistive switching memory device [132]. I–V curve of the space charge limited model according to process: (d) set process and (e) reset process [134]. Additionally, (f) the schematic of carrier distribution by biasing different voltage [134].
Polymers 13 03774 g010
Table 2. Polymer electret memory characteristics comparison.
Table 2. Polymer electret memory characteristics comparison.
Polymer Electret
(Gate insulator)
Thickness
(nm)
On/Off
Switching Ratio
Memory Window
(V)
Retention Time
(s)
Mobility
(cm2 V−1 s−1)
[Ref]
PS30–35 10622.1 ± 2.85.2 × 1050.26 × 0.23[55]
PaMS30–35 10626.0 ± 2.72.2 × 1050.35 × 0.15
P4MS30–35 10524.1 ± 1.22.1 × 1050.25 × 0.07
PVP30–35 10517.0 ± 1.10.24 × 1050.21 × 0.05
PVPyr30–35 10521.0 ± 1.70.42 × 1050.12 × 0.13
PVN30–35 10627.8 ± 1.83.4 × 1050.61 × 0.05
PVA30–35 105NegligibleN/A0.07 × 0.06
PaMSN/A10524 V1045.3 × 102 [58]
PS-brushN/A10430 V1080.01[56]
TPA-PIS~50105–10632.4 ± 1.21040.27 ± 0.05[57]
TPA-PES~50105–10643.2 ± 4.71040.22 ± 0.01
TPA-PETS~50103–10421.7 ± 1.01040.10 ± 0.04
PITE(BMI-BMMD)~509.0 × 10564.39N/A5.7 × 10−3[21]
PI(APS-ODPA)~509.3 × 10461.22N/A1.3 × 10−3
PI(APS-BPA)~504.6 × 10481.49N/A6.0 × 10−4
Table 6. Flexible memory characteristics comparison.
Table 6. Flexible memory characteristics comparison.
Flexible SubstrateBanding RadiusOn/Off
Switching Ratio
Memory Window
(V)
Retention Time
(s)
Mobility
(cm2 V−1 s−1)
[Ref]
PES5.8 mm2 × 10415.41083.8 × 10−2[128]
PET10 mm102301040.23[129]
Mylar™ films300 μm1065.53.2 × 108N/A[124]
Ag wires1.1 mm1035.65 × 1049 × 10−3[130]
PDMS, PIStretchable10511N/A4 × 10−2[125]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lee, S.; Kim, S.; Yoo, H. Contribution of Polymers to Electronic Memory Devices and Applications. Polymers 2021, 13, 3774. https://doi.org/10.3390/polym13213774

AMA Style

Lee S, Kim S, Yoo H. Contribution of Polymers to Electronic Memory Devices and Applications. Polymers. 2021; 13(21):3774. https://doi.org/10.3390/polym13213774

Chicago/Turabian Style

Lee, Subin, Somi Kim, and Hocheon Yoo. 2021. "Contribution of Polymers to Electronic Memory Devices and Applications" Polymers 13, no. 21: 3774. https://doi.org/10.3390/polym13213774

APA Style

Lee, S., Kim, S., & Yoo, H. (2021). Contribution of Polymers to Electronic Memory Devices and Applications. Polymers, 13(21), 3774. https://doi.org/10.3390/polym13213774

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop