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Article

Design and Simulation of Tunneling Diodes with 2D Insulators for Rectenna Switches

by
Evelyn Li
1,
Parameswari Raju
2 and
Erhai Zhao
2,*
1
Thomas Jefferson High School for Science and Technology, Alexandria, VA 22312, USA
2
Department of Physics and Astronomy, George Mason University, Fairfax, VA 22030, USA
*
Author to whom correspondence should be addressed.
Materials 2024, 17(4), 953; https://doi.org/10.3390/ma17040953
Submission received: 15 January 2024 / Revised: 13 February 2024 / Accepted: 17 February 2024 / Published: 19 February 2024
(This article belongs to the Special Issue Novel Semiconductor Devices and Nanomaterials for Energy, Power and High-Frequency Applications)
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Abstract

:
Rectenna is the key component in radio-frequency circuits for receiving and converting electromagnetic waves into direct current. However, it is very challenging for the conventional semiconductor diode switches to rectify high-frequency signals for 6G telecommunication (>100 GHz), medical detection (>THz), and rectenna solar cells (optical frequencies). Such a major challenge can be resolved by replacing the conventional semiconductor diodes with tunneling diodes as the rectenna switches. In this work, metal–insulator–metal (MIM) tunneling diodes based on 2D insulating materials were designed, and their performance was evaluated using a comprehensive simulation approach which includes a density-function theory simulation of 2D insulator materials, the modeling of the electrical characteristics of tunneling diodes, and circuit simulation for rectifiers. It is found that novel 2D insulators such as monolayer TiO2 can be obtained by oxidizing sulfur-metal layered materials. The MIM diodes based on such insulators exhibit fast tunneling and excellent current rectifying properties. Such tunneling diodes effectively convert the received high-frequency electromagnetic waves into direct current.

1. Introduction

In general, a typical rectenna, i.e., rectifying antenna, consists of an antenna and rectifying circuit. The rectenna was first developed by Brown in 1963 [1]. The rectifying circuit is used to convert electromagnetic (EM) waves into direct current (DC) electricity. The conventional rectifying circuits work properly with the radio-frequency (RF) signals of a range from 3 kHz to 500 kHz. [2] Certain carefully designed rectifying circuits could be operating at up to 300 MHz with bipolar junction transistors and 2 GHz with the integration of multiple MOS devices [3,4]. As telecommunication is entering into the 5G and soon 6G era, both a fast response and a large bandwidth are needed, pushing the limit of frequency toward the high end of the RF range (>100 GHz) [5]. For example, millimeter waves (30–300 GHz) and terahertz signals will be used in 6G technology [6,7]. The 100 GHz signal demands 10 ps in response time, approaching the limit in transit time for an electron to diffuse across a silicon PN junction diode. Such a long diffusion time places a strict limit on the high-frequency application in converting alternative current (AC) into DC.
On the other hand, optical detection, as an important method for non-ionizing medical detections [8,9], has been increasingly used in wearable electronics, e.g., smart watches, to measure heartbeat, blood sugar, blood oxygen, and so on. This technology requires the lights, a kind of high-frequency electromagnetic waves, to penetrate through the skin [10]. The current wearable electronics are often equipped with visible lights, e.g., green and red lights, to perform the biomedical measurement [11]. However, the medical information obtained by such wearable electronics is quite limited and not precise. THz propagation through the biological tissues would be accompanied by much less scattering loss because of its much longer wavelength compared to those of visible or infrared radiation [12]. It is well known that EM waves at 1012 Hz (THz) are able to image human tissues without harm and provide much more information at a higher resolution in comparison with other methods. For example, ultrasound, another method for non-ionizing detection, with frequencies ranging from 2 MHz to 12 MHz, has a resolution at 1 mm, much lower than that of optical and THz detection. Thus, THz electronics offer excellent safe evaluation, high resolution and precision, all of which are very attractive for future medical detections [13,14]. Since the optical and THz signal frequencies are too high for conventional semiconductor diodes, new diodes with a switching time that is faster than 1 ps are needed to rectify THz signal for medical detection.
In addition, rectenna has been studied for the energy harvesting of 2.4 GHz EM waves for Internet-of-Things technology [15]. To receive and rectify EM waves at optical frequencies, e.g., solar energy, optical rectennas [16,17] become attractive high-efficiency and low-cost solar cells if fast-switching diodes are available. Conventional solar cells are based on a semiconductor PN junction whereas electron–hole pairs are generated by photons with an energy that is larger or close to the energy bandgap (Eg) of the semiconductors. Silicon-based solar cells in the most commercially dominated products have a limited efficiency, about 16% for polycrystalline Si, 30% for monocrystalline Si, and 55% for multi-junction cells [18,19,20]. In comparison, the rectenna solar cells have a much higher efficiency (>85%) and can be fabricated at low cost [16].
Therefore, the common technical challenge for the above-mentioned emerging technologies (high-speed telecommunication, THz electronics and rectenna solar cells) hinges on new rectifier diodes. As shown in Figure 1a, in the conventional semiconductor PN junction diode, the excess carriers are injected to each side of the junction as minority carriers and diffuse through the diode. The diffusion time (τs) is close to the smallest value of the electron lifetime (τe) or hole lifetime (τh). The lifetime of a minority carrier depends on the Auger lifetime due to Auger recombination [21]. In typical, for Si, with a doping of 1018 cm−3, the diffusion time is within a range from 10 ns to 1 μs, which corresponds to switching frequencies from 1 MHz to 100 MHz. The optimization of device structures and diode materials, such as Schottky junction diodes and GaN diodes, has been studied to improve the switching frequency to GHz [22]. However, THz and optical frequencies are still too high for conventional PN junction diodes.
On the other hand, carrier transport based on tunneling can easily exceed the limit of diffusion in PN junctions, reaching the scale of femtoseconds (10−15 s). The metal–insulator–metal (MIM) junction with an atomically thin insulator between two different metals is a simple yet very effective tunneling diode. A schematic of the MIM tunneling diode and its energy barrier for tunneling are shown in Figure 1b. The electron tunneling time is determined by the energy barrier profile and applied bias across the barrier. Studies showed that the tunneling time across a tunneling diode could reach femtoseconds [23] and even attoseconds (10−18 s) in an atomic hydrogen [24].
The MIM heterostructures have recently been studied as a current rectifying diode [25,26,27,28]. The research interest of MIM diodes was focused on application in rectifying high-frequency electromagnetic waves, THz electronics, infrared light, and even the conversion of visible light into electricity [16,29,30]. The MIM diodes based on bulk insulators, such as TiO2, ZnO, and NiO, could be applied in 28.3 THz rectenna switches [31]. The amorphous InGaZn oxide was shown to improve the turn-on voltage control in the diodes [32]. Amorphous metal electrodes could also improve the current rectifying performance [33]. Recently, MIM diodes based on 2D insulator materials have been reported [34]. MIM diodes with single and multiple insulators have been studied and analyzed for the conversion of infrared light into electricity [35,36]. Despite the rapid progress, there still lacks a comprehensive study that combines the first-principle calculation for designing 2D insulator materials, the modeling of tunneling diodes, and the simulation of rectifier circuits.
In this work, we applied a density function theory (DFT) method to design and model MIM tunneling diodes with two-dimensional (2D) materials as the insulators. In the modeling, 1, 2, 3-layer TiO2, TaO2, and SnO2 were designed by oxidizing the corresponding 2D metal-sulfur materials. The monolayer or few-layer 2D materials were placed between two different metals to form a tunneling junction diode. In the device simulation, it is found that the Au/monolayer TiO2/Al tunneling junction diode exhibits the best rectifying performance. The simulated tunneling current–voltage (I–V) characteristics were fed through a rectifier in PSpice modeling, showing excellent signal rectifying from THz to optical frequencies.

2. Modeling and Simulation Method for Materials, Devices and Circuits

In this study, the atomistic simulations of 2D materials and MIM tunneling diodes were performed in QuantumWise Atomistix Toolkit (ATK) simulation platform [37,38,39] from a Synopsys based on density functional theory (DFT). The DFT calculations employed the norm-conserving Pseudo-Dojo pseudopotentials [40] with the Perdew–Burke–Ernzerhof (PBE) parametrization of the exchange-correlation function [41] for all materials and diode structures. To bring all atoms to the ground state, a 12 × 12 × 1 Monkhorst-Pack k-point grid mesh was used for the sampling of the Brillouin zone. The forces were kept to the least at 0.01 eV/Å. For the calculations of carrier transport in the tunneling diodes based on metal/2D insulators/metal heterostructures, we used first-principle calculations integrated with density functional non-equilibrium Green’s function (NEGF) method. In addition, the current–voltage (I–V) characteristic was calculated by following the Landauer–Büttiker approach [42]. The design of 2D materials and the computation of carrier transport were implemented using the above-mentioned QuantumWise ATK code [37].
In the simulation of 2D materials, 1-, 2-, 3-layer metal–sulfur materials are designed and modeled with structural relaxation. These ultra-thin 2D metal–sulfur materials are usually semiconductors with an energy bandgap. [34] In the structural relaxation in simulation, the position of all atoms and the three-dimensional lattice parameters were optimized with the least Hellmann–Feynman force of 0.01 eV/Å on the metal–sulfur layer materials. In the optimization, Pulay-mixer algorithm was used as a fully self-consistent field (SCF) iteration control with a tolerance value of 10−5 eV. The maximum number of iteration steps was set at a limit of 100. The self-consistent field computations were strictly tracked to guarantee full convergence within the iteration steps. Periodic boundary conditions were employed along the three directions (in-plane and out-of-plane) with a large vacuum region of 7 Å to minimize the interlayer interaction. [43] Energy band structures and the electronic properties of the metal–sulfur layer materials could be calculated once the structure optimization simulation was converged. In the design and simulation of metal–oxide layer materials, we proposed a simulated oxidation process: (1) the sulfur atoms were replaced with oxygen atoms; and (2) the new metal oxide materials were fully optimized by following the similar procedure in obtaining relaxed metal–sulfur layer materials. As observed in the calculation of formation energy (EForm), the metal sulfides are more stable than metal oxide layer materials. For example, the EForm of TiS2 and TiO2 is –1.96 eV and −3.36 eV, respectively.
The 2D layer oxide insulators were placed between two metal electrodes to construct metal/2D insulators/metal tunneling diodes. There is a 7-Å gap between the 2D insulators and electrodes at each side to protect the layer oxides from a chemical reaction with the metal electrodes during simulation. As the layer insulators were surrounded by vacuum, our simulation was able to neglect the effect of substrate and electrodes. The simulation of the tunneling current in the metal/2D insulators/metal diodes under a bias voltage was implemented using DFT method in the Virtual Nanolab ATK package. [37] Generalized gradient approximation (GGA) [41] was adopted with PBE exchange correlation to describe and include the electron correlation and exchange energies in the calculation of carrier transport under bias voltage.
The design and modeling of a full-bridge AC/DC power converter built on the proposed MIM diodes was carried out using OrCAD PSpice simulation tool [44]. In the circuit simulation, a PSpice device model was built for the MIM tunneling diodes by implementing the I–V characteristics and the tunneling time obtained in above-mentioned DFT calculations. An AC voltage input of 1.0 V at 100 kHz was applied in the simulation and a DC output was analyzed to evaluate the performance of proposed MIM tunneling diodes. The output voltage as a function of received signal frequency from 1 Hz to 1000 THz was simulated based on the calculated tunneling time to analyze the high-frequency performance.

3. Results and Discussion

3.1. Molecular Structures and Energy Bands of 2D Metal Oxide Insulators

Figure 2a shows the design of MIM tunneling diodes with the 2D insulator material sandwiched between the top and bottom metal electrodes. The two electrodes have a different work function, enabling current rectifying functionality of the MIM diodes. The key element of the diodes is the middle 2D insulator and its interface with metal electrodes. It is desirable to use insulators with a low tunneling barrier height, i.e., high electron affinity, such as TiO2, SnO2, and Ta2O5, to rectify a low-voltage–current characteristic [33,34]. Lower barrier height generally leads to a higher tunneling rate. However, the efficiency of the tunneling current also depends on the quality of the interface between the insulator and metal electrodes. The proposed 2D insulators have a smooth and self-passivated surface, very favorable for tunneling. As shown in Figure 2b, the 2D layer-structured oxide insulators, such as TiO2, SnO2, and TaO2, can be obtained by oxidizing the counter parts 2D metal sulfur layer materials, such as TiS2, SnS2, and TaS2. These 2D layer materials are van de Waals materials with the monolayer or multilayer, whereas the S atoms can be replaced with O atoms by oxidation. In the simulation, the oxidation is expressed by the replacement of S atoms with O atoms followed by a structural relaxation to achieve stable 2D oxide layer materials.
Figure 3 shows the energy band structures of hexagonal TiS2 and TiO2 obtained from the DFT simulation. As mentioned above, the 2D TiO2 materials are achieved by replacing S atoms in TiS2 with O atoms followed by a structural relaxation and optimization. The DFT calculation of 2D oxides converged at a minimal force of 0.01 eV/Å, achieving a stable layer structure which can be obtained in the experiment and in production. After such a proper structural relaxation, the energy band structures and electronic properties of each monolayer, bilayer, and trilayer structures can be reasonable evaluated.
The result indicates that the 1-, 2-, 3-layer TiO2 materials have a significant bandgap and can be considered insulators. The energy bandgap value increases from 1.7 eV for the monolayer TiO2 to 3.0 eV for trilayer TiO2. The 2D TiO2 have a significantly larger bandgap than the counterparts of 2D TiS2. TiS2 is considered a semiconductor with a relatively small energy bandgap. [45,46] The simulated band gap for monolayer materials will be wider if the spin-orbit coupling (SOC) and Heyd–Scuseria–Ernzerhof (HSE) functional are considered in calculation [47,48,49,50]. The SOC downshifts valence band maximum and upshifts conduction band minimum by including the interaction of an electron’s spin with its motion. [49] The HSE adds an additional potential by describing many-electron interactions and charge localization. [50] Nonetheless, the material structure and electrical properties of 2D TiO2 are successfully modeled and can be used for the simulation of carrier transport, tunneling diodes, and voltage conversion circuits.
Similar DFT simulation processes are also performed on the TaS2 and SnS2 layer materials, and the TaO2 and SnO2 layer materials obtained via the oxidation of the metal–sulfur counterparts. Figure 4 shows the molecular structures of the above-mentioned trilayer materials. The 2D layer materials were designed with thin vacuum region (7 Å) surrounding them to minimize chemical interaction with substrate or electrodes. These 2D TaS2, SnS2, TaO2, and SnO2 were then optimized with structural relaxation using the QuantumWise ATK code [37,41]. The energy band structures of TaS2 and TaO2 mono-, bi-, and trilayer are shown in Figure 5. The result indicates that a significant band gap exists in TaO2 layered materials while the band gap is negligible in TaS2 layered materials, which has been previously reported [51]. Also, the band gap of 2D TaO2 (about 0.7 eV) does not change appreciably with an increasing number of layers, which is different with that of TiO2. In addition, the band structures of 2D TaO2 materials look like the ones of n-type semiconductors with the Fermi level merged into the conduction band.
Figure 6 shows the energy band structures of mono-, bi-, and trilayer SnS2 and SnO2 materials. The 2D SnS2 layer materials have a significant indirect bandgap about 1.6 eV.
However, the energy band gap of SnO2-layered materials disappears after the SnS2 is oxidized with the S atoms being replaced by O atoms. From the observation from the band structures, the SnO2 layer materials look more like a semimetal with zero bandgap than a semiconductor or insulator. The result indicates that the SnO2 layer materials are not a good choice as 2D insulators for the application in the proposed MIM diodes.

3.2. Design and Electrical Properties of MIM Diodes with 2D Insulators

As seen from the DFT calculations, although some 2D metal oxide materials are not a good choice for insulators, excellent 2D materials can be screened and found by using such a simulating oxidation experiment based on the DFT calculation. The next step is to design an MIM diode using the modeled 2D insulators and study its electrical properties. As shown in Figure 7, MIM diodes are constructed with monolayer, bilayer, or trilayer TiO2 being sandwiched between Au and Al electrodes. The 2D TiO2 films act as the smooth, ultra-thin tunneling barrier for the electron to transport between two metal electrodes. In the design of Au/TiO2/Al heterojunction, 9 atomic layers of Au and Al have been employed to maintain the structure of metal during the structural relaxation in the simulation. This significantly increases the computation time in the simulation since a large number of atoms are included. However, this design is sufficiently close to the real devices in which metal films are much thicker than 2D insulators and will not experience structural change due to a lattice difference with the 2D materials. It should be noted that the metal structures have an unreal change in structural relaxation if only < 5 atomic layers of metals are used in simulation, whereas the thickness of metal is comparable to the inserted 2D insulators. In addition, the design of MIM tunneling diodes is not limited to 2D TiO2 and can be applied to other 2D insulators.
Figure 8 shows the I–V characteristics of Au/TiO2/Al tunneling diodes with the monolayer, bilayer, and trilayer of TiO2 at room temperature. In the simulation, an electric bias voltage from −1.0 V to 1.0 V is applied on MIM diodes at a step of 0.2 V. The I–V curves exhibit a junction-like current rectifying function with low resistance for the current flowing from the Au electrode to the Al electrode and high resistance along the opposite direction. Although all three MIM diodes have a current-rectifying capability, the current density decreases exponentially with increasing layer numbers of TiO2 films. In addition, the I–V curves become less exponential, i.e., the current on/off ratio within a certain voltage window decreases, and the number of TiO2 layer increases. This indicates that the rectifying capability decreases with the increasing thickness of TiO2 layer materials. The simulation result in this work showed a high current density (J) (J = 500 A/cm2) at 1.0 V. In comparison, the experimental result [34] of the layer TiO2 MIM diode (5 nm layer TiO2) showed J = 200 A/cm2 at 2.0 V, and the experimental result of Pt/TiO2/TiO2-x/Ti diodes (3 nm TiO2) [36] showed J = 350 A/cm2 at 1.0 V. Although our simulated devices showed a higher on-state current density, the off-state current density at reverse bias (−1.0 V) is about 80 A/cm2, higher than that of the layer TiO2 MIM diodes [34] which showed an off-state current density of 20 A/cm2 at—2.0 V and slightly lower than that of Pt/TiO2/TiO2-x/Ti diodes [36] (about 150 A/cm2 at reverse bias—1.0 V). The high off-state current is due to the thin TiO2 monolayer in simulation.
In addition to the selected Au and Al electrodes, combinations of several metals with a work function from 4.1 eV to 5.6 eV, including Al, Ti, Ni, Cu, Ag, Au, and Pt, have been tried in the simulation. Our study shows that the Au/monolayer TiO2/Al diode exhibits the best current rectifying characteristics: a large rectifying ratio, low off-state current and a high on-state current. In the circuit modeling (to be discussed later), we selected the Au/monolayer TiO2/Al tunneling diode as the switching diode model for voltage conversion and adjusted the current level or diode resistance for application by choosing the right cross-section area. It should be noted that the tunneling time is not be affected by the device area.
The tunneling time is an important parameter for rectifier diodes. It directly determines the upper limit of the switching frequency that the rectifier can handle. In this work, the tunneling time of the Au/monolayer TiO2/Al diode have been studied and calculated for different bias voltages. Figure 9 shows the electron affinity extracted from the simulation for the monolayer TiO2 between Au and Al electrodes. A trapezoid shape of the tunneling barrier is drawn along the extract value of electron affinity for each bias voltage (see Figure 9a–c). The trapezoid barrier profile will be used for the calculation of the tunneling time. The tunneling time can be calculated using the integration equation shown in Figure 1b following the method by Buttiker and Sinton [52,53]. As shown in Figure 9d, the tunneling time slightly decreases from 1.85 fs to 1.65 fs with increasing bias from 0 V to 1.0 V. Such a short switching time enables the proposed diode to effectively the rectify high-frequency signal up to 600 THz. It should be noted that the simulation does not consider the impact of impurity and defect at the interface and inside the 2D materials. The interface impurity and defect usually increase the tunneling time and decrease the tunneling current, which should be an important issue to examine in the experiment. Nonetheless, the proposed metal/2D insulator/metal tunneling diodes exhibit an excellent current rectifying capability with an ultra-fast switching time reaching the order of femtoseconds (10−15 s).

3.3. Circuit Simulation of Rectifiers Based on 2D MIM Tunneling Diodes

The performance of 2D MIM tunneling diodes can be fully evaluated in a rectifying circuit. Figure 10a shows a schematic of the rectenna circuit with both an antenna and a full-wave bridge rectifying circuit. In the rectifier circuit, D1, D2, D3, and D4 are identical diodes based on the above-simulated Au/monolayer TiO2/Al MIM tunneling diode with the I–V characteristics shown in Figure 8 and the tunneling time (1.6 fs) derived in Figure 9d. The diodes have a cross-section area of 10−4 cm2 (i.e., 100 μm × 100 μm), exhibiting an on-state current at the range of 10 mA–40 mA. The circuit simulation was carried out and analyzed in OrCAD PSpice Integrated Simulation platform [44]. In the circuit design, the antenna is replaced with an AC voltage source which is tunable in voltage and frequency. Both the AC-to-DC conversion and high-frequency performance were studied and analyzed. Figure 10b shows that the rectifying circuit effectively converts a 1.0V, 100kHz AC input, simulated the signal received by the antenna, into a 0.7V DC voltage output. The DC output voltage is stabilized within 20 ms, exhibiting a robust AC/DC conversion with the proposed 2D MIM tunneling diodes. Figure 10c shows the DC output voltage as a function of the frequency of input AC signals in the circuit simulation. The rectifying circuit based on the proposed monolayer TiO2 MIM tunneling diode successfully maintained a DC output voltage of about 0.7 V for up to 800 THz, agreeing with the switching time of the tunneling diodes. It should be noted that the output voltage is stable in the visible region from red (430 THz) to blue light (750 THz), which is very attractive for the application in rectenna solar cells. Such a THz operation frequency range is also important for medical detection and high-speed telecommunication.

4. Conclusions

In summary, we have designed, simulated, and investigated a family of 2D insulators by oxidizing metal sulfides using the DFT method. The I–V characteristics of the metal/insulator/metal junctions with the chosen 2D insulators exhibit an excellent rectifying capability with a significant dependence on the number of layers. The diode tunneling time has also been studied, showing promising potential for THz electronics. In addition, we have successfully designed and simulated an AC-to-DC rectifying circuit based on the proposed monolayer TiO2 MIM tunneling diode. The rectifier is able to robustly convert AC voltage input into DC voltage output. The rectifier circuit is effectively functional at a high frequency up to 800 THz. Such rectifying switches based on the proposed 2D insulator MIM tunneling diodes are very attractive in many applications including medical detection, 5G/6G telecommunication, and rectenna solar cells.

Author Contributions

Conceptualization, E.L. and E.Z.; methodology, E.L. and E.Z.; software, E.L. and P.R.; validation, E.L., P.R. and E.Z.; formal analysis, E.L.; investigation, E.L.; resources, E.Z.; data curation, E.L.; writing—original draft preparation, E.L.; writing—review and editing, E.Z.; visualization, E.L. and P.R.; supervision, E.Z.; project administration, E.Z.; funding acquisition, E.Z. All authors have read and agreed to the published version of the manuscript.

Funding

The authors are grateful to the support of George Mason University and Thomas Jefferson High School of Science and Technology on computing resource.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available upon request.

Acknowledgments

We gratefully acknowledge support from the Office of Research Computing at George Mason University (URL: https://orc.gmu.edu) (accessed on 8 October 2020).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Brown, W.; George, R.; Heenan, N.; Wonson, R. Microwave to DC Converter. U.S. Patent US3434678A, 25 March 1969. [Google Scholar]
  2. Basak, M.; Kacar, F. Realization of current-mode fully integrated full-wave rectifier. AEU-Int. J. Electron. Commun. 2017, 82, 45. [Google Scholar] [CrossRef]
  3. Kumngern, M.; Dejhan, K. A New Translinear-Based Dual-Output Square-Rooting Circuit. Act. Passiv. Electron. Compon. 2008, 6, 623970. [Google Scholar] [CrossRef]
  4. Xu, Z.; Khalifa, A.; Mittal, A.; Nasrollahpourmotlaghzanjani, M.; Etienne-Cummings, R.; Sun, N.; Cash, S.; Shrivastava, A. Analysis and Design Methodology of RF Energy Harvesting Rectifier Circuit for Ultra-Low Power Applications. IEEE Open J. Circuits Syst. 2022, 3, 82. [Google Scholar] [CrossRef] [PubMed]
  5. Rappaport, T.; Xing, Y.; Kanhere, O.; Ju, S.; Madanayake, A.; Mandal, S.; Alkhateeb, A.; Trichopoulos, G.C. Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond. IEEE Access 2019, 7, 78729. [Google Scholar] [CrossRef]
  6. Jiang, W.; Zhang, Q.; He, J.; Habibi, M.A.; Melnyk, S.; El-Absi, M.; Han, B.; Renzo, M.D.; Schotten, H.D.; LUO, F.L.; et al. Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive View. arXiv 2023, arXiv:2307.10321. [Google Scholar]
  7. Zinchenko, I.I.; Lapinov, A.V.; Vdovin, V.F.; Zemlyanukha, P.M.; Khabarova, T.A. Measurements and Evaluations of the Atmospheric Transparency at Short Millimeter Wavelengths at Candidate Sites for Millimeter- and Sub-Millimeter-Wave Telescopes. Appl. Sci. 2023, 13, 11706. [Google Scholar] [CrossRef]
  8. Kazanskiy, N.L.; Khonina, S.N.; Butt, M.A.; Kaźmierczak, A.; Piramidowicz, R. State-of-the-Art Optical Devices for Biomedical Sensing Applications—A Review. Electronics 2021, 10, 973. [Google Scholar] [CrossRef]
  9. Ochoa, M.; Algorri, J.; Roldán-Varona, P.; Rodríguez-Cobo, L.; López-Higuera, J. Recent Advances in Biomedical Photonic Sensors: A Focus on Optical-Fibre-Based Sensing. Sensors 2021, 21, 6469. [Google Scholar] [CrossRef]
  10. Wu, W.; Wang, L.; Yang, Y.; Du, W.; Ji, W.; Fang, Z.; Hou, X.; Wu, Q.; Zhang, C.; Li, L. Optical flexible biosensors: From detection principles to biomedical applications. Biosens. Bioelectron. 2022, 210, 114328. [Google Scholar] [CrossRef]
  11. Vavrinsky, E.; Esfahani, N.E.; Hausner, M.; Kuzma, A.; Rezo, V.; Donoval, M.; Kosnacova, H. The Current State of Optical Sensors in Medical Wearables. Biosensors 2022, 12, 217. [Google Scholar] [CrossRef]
  12. Pirzada, M.; Altintas, Z. Recent Progress in Optical Sensors for Biomedical Diagnostics. Micromachines 2020, 11, 356. [Google Scholar] [CrossRef]
  13. Aghasi, H.; Naghavi, S.; Tavakoli Taba, M.; Aseeri, M.; Cathelin, A.; Afshari, E. Terahertz electronics: Application of wave propagation and nonlinear processes. Appl. Phys. Rev. 2020, 7, 021302. [Google Scholar] [CrossRef]
  14. Gong, A.; Qiu, Y.; Chen, X.; Zhao, Z.; Xia, L.; Shao, Y. Biomedical applications of terahertz technology. Appl. Spectrosc. Rev. 2020, 55, 418. [Google Scholar] [CrossRef]
  15. Shafique, K.; Khawaja, B.; Khurram, M.; Sibtain, S.; Siddiqui, Y.; Mustaqim, M.; Chattha, H.; Yang, X. Energy Harvesting Using a Low-Cost Rectenna for Internet of Things (IoT) Applications. IEEE Access 2018, 6, 30932. [Google Scholar] [CrossRef]
  16. Moddel, G.; Grover, S. (Eds.) Rectenna Solar Cells; Springer: New York, NY, USA, 2013. [Google Scholar] [CrossRef]
  17. Sanchez, A.; Davis, C.; Liu, K.; Javan, A. The MOM tunneling diode: Theoretical estimate of its performance at microwave and infrared frequencies. J. Appl. Phys. 1978, 49, 5270. [Google Scholar] [CrossRef]
  18. Shockley, W.; Quiesser, H.J. Detailed balance limit of efficiency of p-n junction solar cells. J. Appl. Phys. 1961, 32, 510. [Google Scholar] [CrossRef]
  19. Henry, C.H. Limiting efficiencies of ideal single and multiple energy gap terrestrial solar cells. J. Appl. Phys. 1980, 51, 4494. [Google Scholar] [CrossRef]
  20. Donchev, E.; Pang, J.; Gammon, P.; Centeno, A.; Xie, F.; Petrov, P.; Breeze, J.; Ryan, M.; Riley, D.; Alford, N. The rectenna device: From theory to practice (a review). MRS Energy Sustain. 2014, 1, E1. [Google Scholar] [CrossRef]
  21. Sze, S.; Ng, K. Physics of Semiconductor Devices; John Wiley & Sons: Hoboken, NJ, USA, 2006; pp. 77–133. [Google Scholar]
  22. Sun, R.; Lai, J.; Chen, W.; Zhang, B. GaN Power Integration for High Frequency and High Efficiency Power Applications: A Review. IEEE Access 2020, 8, 15529. [Google Scholar] [CrossRef]
  23. Saiadh, U.S.; Xu, H.; Wang, X.; Atia-Tul-Noor, A.; Wallace, W.; Douguet, N.; Bray, A.; Ivanov, I.; Bartschat, K.; Kheifets, A.; et al. Attosecond angular streaking and tunnelling time in atomic hydrogen. Nature 2019, 568, 75. [Google Scholar] [CrossRef] [PubMed]
  24. Teki, S.; Weerakkody, A.; Sedghi, N.; Hall, S.; Werner, M.; Wrech, J.; Chalker, P.; Mitrovic, I. Single and triple insulator Metal-Insulator-Metal diodes for infrared rectennas. Solid-State Electron. 2021, 185, 108096. [Google Scholar] [CrossRef]
  25. Berland, B. National Renewable Energy Laboratory Final Report. 2003. Available online: http://www.nrel.gov/docs/fy03osti/33263.pdf (accessed on 10 January 2021).
  26. Hobbs, P.; Laibowitz, R.; Libsch, F. Ni–NiO–Ni tunnel junctions for terahertz and infrared detection. Appl. Opt. 2005, 44, 6813. [Google Scholar] [CrossRef]
  27. Krishnan, S.; Stefanakos, E.; Bhansali, S. Effects of dielectric thickness and contact area on current–voltage characteristics of thin film metal–insulator–metal diodes. Thin Solid Film. 2008, 516, 2244. [Google Scholar] [CrossRef]
  28. Bean, J.; Tiwari, B.; Bernstein, G.; Fay, P.; Porod, W. Thermal infrared detection using dipole antenna-coupled metal-oxide-metal diodes. J. Vac. Sci. Technol. B 2009, 27, 11. [Google Scholar] [CrossRef]
  29. Jin, J.; Wang, L.; Zheng, Z.; Zhang, J.; Hu, X.; Lu, J.; Etor, D.; Pearson, C.; Song, A.; Wood, D.; et al. Metal-insulator-metal diodes based on alkyltrichlorosilane self-assembled monolayers. AIP Adv. 2019, 9, 065017. [Google Scholar] [CrossRef]
  30. Chen, P.; Salas, R.; Farhat, M. Generation of high-power terahertz radiation by nonlinear photon-assisted tunneling transport in plasmonic metamaterials. J. Opt. 2017, 19, 124012. [Google Scholar] [CrossRef]
  31. Tekin, S.; Almalki, S.; Finch, H.; Vezzoli, A.; O’Brien, L.; Dhanak, V.; Hall, S.; Mitrovic, I. Electron affinity of metal oxide thin films of TiO2, ZnO, and NiO and their applicability in 28.3 THz rectenna devices. J. Appl. Phys. 2023, 134, 8. [Google Scholar] [CrossRef]
  32. Kim, K.; Park, J.; Lee, D.; Cho, Y.; Kim, Y. Precise Turn-On Voltage Control of MIOSM Thin-Film Diodes with Amorphous Indium–Gallium–Zinc Oxide. ACS Appl. Mater. Interfaces 2021, 13, 878. [Google Scholar] [CrossRef] [PubMed]
  33. Cowell, E.; Alimardani, N.; Knutson, C.; Conley, J.; Keszler, D.; Gibbons, B.; Wager, J. Advancing MIM Electronics: Amorphous Metal Electrodes. Adv. Mater. 2011, 23, 74. [Google Scholar] [CrossRef]
  34. Cui, Q.; Sakhdari, M.; Chamlagain, B.; Chuang, H.; Liu, Y.; Cheng, M.; Zhou, Z.; Chen, P. Ultrathin and Atomically Flat Transition-Metal Oxide: Promising Building Blocks for Metal–Insulator Electronics. ACS Appl. Mater. Interfaces 2016, 8, 34552. [Google Scholar] [CrossRef]
  35. Belkadi, A.; Weerakkody, A.; Moddel, G. Demonstration of resonant tunneling effects in metal-double-insulator-metal (MI2M) diodes. Nat. Commun. 2021, 12, 2925. [Google Scholar] [CrossRef]
  36. Matsuura, D.; Shimizu, M.; Yugami, H. High-current density and high-asymmetry MIIM diode based on oxygen-non-stoichiometry controlled homointerface structure for optical rectenna. Sci. Rep. 2019, 9, 19639. [Google Scholar] [CrossRef]
  37. Smidstrup, S.; Stradi, D.; Wellendorff, J.; Khomyakov, P.; Vej-Hansen, U.; Lee, M.; Ghosh, T.; Jónsson, E.; Jónsson, H.; Stokbro, K. First-principles Green’s-function method for surface calculations: A pseudopotential localized basis set approach. Phys. Rev. B 2017, 96, 195309. [Google Scholar] [CrossRef]
  38. Smidstrup, S.; Markussen, T.; Vancraeyveld, P.; Wellendorff, J.; Schneider, J.; Gunst, T.; Verstichel, B.; Stradi, D.; Khomyakov, P.A.; Vej-Hansen, U.G.; et al. QuantumATK: An Integrated Platform of Electronic and Atomic-Scale Modelling Tools. J. Phys. Condens. Matter 2020, 32, 015901. [Google Scholar] [CrossRef]
  39. Yu, S.; Zhu, H.; Eshun, K.; Arab, A.; Badwan, A.; Li, Q. A computational study of the electronic properties of one-dimensional armchair phosphorene nanotubes. J. Appl. Phys. 2015, 118, 164306. [Google Scholar] [CrossRef]
  40. Van Setten, M.J.; Giantomassi, M.; Bousquet, E.; Verstraete, M.J.; Hamann, D.R.; Gonze, X.; Rignanese, G.M. The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table. Comput. Phys. Commun. 2018, 226, 39–54. [Google Scholar] [CrossRef]
  41. Perdew, J.P.; Burke, K.; Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 1996, 77, 3865. [Google Scholar] [CrossRef] [PubMed]
  42. Büttiker, M.; Imry, Y.; Landauer, R.; Pinhas, S. Generalized many-channel conductance formula with application to small rings. Phys. Rev. B 1985, 31, 6207. [Google Scholar] [CrossRef] [PubMed]
  43. Makov, G.; Payne, M.C. Periodic boundary conditions in ab initio calculations. Phys. Rev. B 1995, 51, 4014. [Google Scholar] [CrossRef] [PubMed]
  44. OrCAD Pspice Circuit Simulation Tool. Available online: https://www.orcad.com/pspice (accessed on 10 January 2021).
  45. Logothetis, E.M.; Kaiser, W.J.; Kukkonen, C.A.; Faile, S.P.; Colella, R.; Gambold, J. Transport properties and the semiconducting nature of TiS2. Phys. B + C 1980, 99, 193–198. [Google Scholar] [CrossRef]
  46. Wang, H.; Qiu, Z.; Xia, W.; Ming, C.; Han, Y.; Cao, L.; Lu, J.; Zhang, P.; Zhang, S.; Xu, H.; et al. Semimetal or Semiconductor: The Nature of High Intrinsic Electrical Conductivity in TiS2. J. Phys. Chem. Lett. 2019, 10, 6996. [Google Scholar] [CrossRef]
  47. Yu, S.; Rice, Q.; Tabibi, B.; Li, Q.; Seo, F.J. Piezoelectricity in WSe2/MoS2 heterostructure atomic layers. Nanoscale 2018, 10, 12472. [Google Scholar] [CrossRef]
  48. Yu, S.; Shi, W.; Li, Q.; Xu, F.; Gu, L.; Wang, X. Reconfigurable spin tunnel diodes by doping engineering VS2 monolayers. Phys. Chem. Chem. Phys. 2023, 25, 26211. [Google Scholar] [CrossRef] [PubMed]
  49. Shi, L.; Li, Q. Families of asymmetrically functionalized germanene films as promising quantum spin Hall insulators. Phys. Chem. Chem. Phys. 2021, 23, 3595–3605. [Google Scholar] [CrossRef] [PubMed]
  50. Flores, M.; Orellana, W.; Menendez-Proupin, E. Accuracy of the Heyd-Scuseria-Ernzerhof hybrid functional to describe many-electron interactions and charge localization in semiconductors. Phys. Rev. B 2018, 98, 155131. [Google Scholar] [CrossRef]
  51. Ricci, M.; Ambrosetti, A.; Silvestrelli, P.L. Improving the Description of Interlayer Bonding in TiS2 by Density Functional Theory. J. Phys. Chem. C 2020, 124, 27592. [Google Scholar] [CrossRef]
  52. Buttiker, M.; Landauer, R. Traversal Time for Tunneling. Phys. Rev. Lett. 1982, 49, 1739. [Google Scholar] [CrossRef]
  53. Sinton, R.A.; Swanson, R.M. Recombination in highly injected silicon. IEEE Trans. Electron Devices 1987, 34, 1380. [Google Scholar] [CrossRef]
Materials 17 00953 g001
Figure 1. (a) In a conventional PN diode, the charge carriers diffuse through the depletion region, limited by the Auger recombination time (τAuger). The diffusion time (τs), which is the sum of the reciprocals of the life time of the electron (τe) and hole (τh) carriers, is usually long, reversely depending on the square of doping concentration (ND), where C is a constant. (b) In an MIM tunneling junction, the electron tunnels across a thin barrier. The tunneling time (τ), depending on barrier height profile, U(x), barrier thickness (d), applied potential (V), and electron effective mass (m), is usually very short.
Figure 1. (a) In a conventional PN diode, the charge carriers diffuse through the depletion region, limited by the Auger recombination time (τAuger). The diffusion time (τs), which is the sum of the reciprocals of the life time of the electron (τe) and hole (τh) carriers, is usually long, reversely depending on the square of doping concentration (ND), where C is a constant. (b) In an MIM tunneling junction, the electron tunnels across a thin barrier. The tunneling time (τ), depending on barrier height profile, U(x), barrier thickness (d), applied potential (V), and electron effective mass (m), is usually very short.
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Figure 2. (a) Schematic of the MIM junction with 2D layered insulators being sandwiched by top and bottom electrodes. (b) The molecular structure of monolayer TiS2 and TiO2. Two-dimensional metal oxide insulators can be obtained by oxidizing metal sulfides. For example, layer TiS2 can be oxidized into layer TiO2.
Figure 2. (a) Schematic of the MIM junction with 2D layered insulators being sandwiched by top and bottom electrodes. (b) The molecular structure of monolayer TiS2 and TiO2. Two-dimensional metal oxide insulators can be obtained by oxidizing metal sulfides. For example, layer TiS2 can be oxidized into layer TiO2.
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Figure 3. Energy band structures of monolayer, bilayer, and trilayer TiS2 and TiO2.
Figure 3. Energy band structures of monolayer, bilayer, and trilayer TiS2 and TiO2.
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Figure 4. Design of molecular structures for trilayer TaS2, SnS2, TaO2, and SnO2 in simulation.
Figure 4. Design of molecular structures for trilayer TaS2, SnS2, TaO2, and SnO2 in simulation.
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Figure 5. Energy band structures of TaS2 and TaO2 monolayer, bilayer, and trilayer.
Figure 5. Energy band structures of TaS2 and TaO2 monolayer, bilayer, and trilayer.
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Figure 6. Energy band structures of SnS2 and SnO2 monolayer, bilayer, and trilayer.
Figure 6. Energy band structures of SnS2 and SnO2 monolayer, bilayer, and trilayer.
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Figure 7. Design of Au/TiO2/Al MIM tunneling diodes with the monolayer, bilayer, and trilayer TiO2.
Figure 7. Design of Au/TiO2/Al MIM tunneling diodes with the monolayer, bilayer, and trilayer TiO2.
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Figure 8. The current–voltage (IV) characteristics for Au/TiO2/Al tunneling diodes.
Figure 8. The current–voltage (IV) characteristics for Au/TiO2/Al tunneling diodes.
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Figure 9. Electron affinity profile of the monolayer TiO2 at a position along the current flowing direction is extracted when the diode is biased at (a) −0.1 V, (b) 0.5 V, and (c) 1.0 V. A trapezoid marked in blue is drawn along the electron affinity to represent the tunneling barrier for each case. (d) Tunneling time for each bias is calculated according the method described in Figure 1.
Figure 9. Electron affinity profile of the monolayer TiO2 at a position along the current flowing direction is extracted when the diode is biased at (a) −0.1 V, (b) 0.5 V, and (c) 1.0 V. A trapezoid marked in blue is drawn along the electron affinity to represent the tunneling barrier for each case. (d) Tunneling time for each bias is calculated according the method described in Figure 1.
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Figure 10. (a) Schematic of a rectenna circuit with a full-wave bridge rectifier based on the modeled monolayer TiO2 MIM diode. (b) Simulation of the rectifier which converts the AC signal into the DC output. (c) DC output voltage as a function of input AC frequency. The rectifier maintains a constant DC output at 0.7 V for up to 800 THz. The output voltage is stable in the visible region from red (430 THz) to blue light (750 THz).
Figure 10. (a) Schematic of a rectenna circuit with a full-wave bridge rectifier based on the modeled monolayer TiO2 MIM diode. (b) Simulation of the rectifier which converts the AC signal into the DC output. (c) DC output voltage as a function of input AC frequency. The rectifier maintains a constant DC output at 0.7 V for up to 800 THz. The output voltage is stable in the visible region from red (430 THz) to blue light (750 THz).
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Li, E.; Raju, P.; Zhao, E. Design and Simulation of Tunneling Diodes with 2D Insulators for Rectenna Switches. Materials 2024, 17, 953. https://doi.org/10.3390/ma17040953

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Li E, Raju P, Zhao E. Design and Simulation of Tunneling Diodes with 2D Insulators for Rectenna Switches. Materials. 2024; 17(4):953. https://doi.org/10.3390/ma17040953

Chicago/Turabian Style

Li, Evelyn, Parameswari Raju, and Erhai Zhao. 2024. "Design and Simulation of Tunneling Diodes with 2D Insulators for Rectenna Switches" Materials 17, no. 4: 953. https://doi.org/10.3390/ma17040953

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