Next Article in Journal
Rational Construction of Pt Incorporated Co3O4 as High-Performance Electrocatalyst for Hydrogen Evolution Reaction
Previous Article in Journal
Carbon Nanofiber Membranes Loaded with MXene@g-C3N4: Preparation and Photocatalytic Property
Previous Article in Special Issue
Contacts at the Nanoscale and for Nanomaterials
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Abridging the CMOS Technology II

Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China
Nanomaterials 2024, 14(11), 897; https://doi.org/10.3390/nano14110897
Submission received: 24 April 2024 / Accepted: 20 May 2024 / Published: 21 May 2024
(This article belongs to the Special Issue Abridging the CMOS Technology II)
As silicon CMOS devices approach their physical and technological miniaturization limits, Moore’s Law is expected to persist for several more cycles, thanks to innovative, more compact layout structures. These advancements include the development of nanosheet, forksheet, and CFET device structures alongside the reconfiguration of power rails in a vertical direction and on the backside of the chip, as well as 3D stacking techniques that extend from individual devices to whole systems [1,2,3,4,5,6]. Meanwhile, the emergence of groundbreaking 2D semiconductor materials constitutes the most promising option for the continued evolution of integrated electronics. Nevertheless, achieving the integration of 2D material ICs that would rival current state-of-the-art CMOS technology remains a distant goal. It is anticipated that CMOS technology will continue to be the key integration technology for the foreseeable future, as new materials and devices are not imminently expected to replace CMOS technology. Given this background, this collection of articles, titled “Abridging CMOS Technology II”, follows the success of the first Special Issue, “Abridging the CMOS Technology” [7], and provides a platform for multidisciplinary discussions on the latest progress in nano CMOS technology, as well as innovative 2D materials and nanotechnology poised to abridge future CMOS technology advancements. In total, this archive consists of three comprehensive review papers and eight regular papers.
Regardless of nano CMOS technology or electronic devices based on 2D materials, contact scaling poses significant challenges due to several undesirable factors such as surface roughness, reduced contact size, and lower doping concentration, which become more pronounced at nanometer scales. These issues could therefore hinder the further advancement of CMOS device downsizing. At the same time, metal/2D material contact has long been a crucial issue concerning electronic device applications. In their review paper entitled “Contacts at the Nanoscale and for Nanomaterials” (contribution 1), Wong, Zhang, and Liu address contact issues in both of these domains. They address the implications of contact size reduction from perspectives of physics and technology, further highlighting the challenge of achieving transparent ohmic contacts with 2D materials, which arises from the limitations of doping technology, metal selection for band alignment, Fermi-level pinning, and the van der Waals gap. Their paper concludes by outlining several promising strategies to overcome these barriers, including hybridization and edge contacts, junction doping, alterations in phase and bandgap, and the introduction of buffer layers—all aimed at establishing good ohmic contacts.
Three contributions to this Special Issue subsequently concern nano CMOS device structures themselves. Liu and colleagues investigated the reliability concerns associated with FinFETs (contribution 2), discovering that the degradation of FinFET device characteristics due to hot carriers is correlated with flicker noise levels. Additionally, they developed a coupling model for characterizing trap time constants, which could be instrumental in profiling trap energy distribution. The reduction in the size of the nanowire/nanosheet leads to a decrease in the silicon channel’s cross-section to dimensions nearing the interface transition layer width, resulting in notable device performance degradation due to predominant surface roughness scattering effects on charge transport. Elmourabit and associates additionally delve into the carrier distribution within the 2D quantized metal/insulator transition region (contribution 3). Their conductance measurements reveal two distinct behaviors, metallic and insulating, which are governed by critical carrier density. The presence of a high-defect-density surface introduces a unique charge transport mechanism that deviates from the traditional drift model. Thus, Wong and Kakushima introduced an innovative device structure that utilizes lateral Poole–Frenkel charge transport through surface defects (contribution 4). The PF-MOS transistor described offers the benefits of reduced power dissipation and the potential to overcome technological limitations related to channel mobility degradation and gate oxide scaling, coming to be considered the ultimate MOS structure.
There is a consensus that the next “more Moore” should be 3D stacking and the heterogeneous integration of multiple chiplets. Specifically, architectures such as “near-memory computing” are anticipated to enhance data processing speeds while reducing power consumption [3]. Notably, vertical stacking has advanced considerably in memory stacking due to its relatively minor heat dissipation challenges. In this context, Spassov and Paskaleva conducted an extensive review of flash memory technology utilizing HfO2/Al2O3 nanolaminate stacks (contribution 5). Their findings suggest that these nanolaminated stacks can be custom engineered in order to create specific trap levels and to modulate their energy and spatial distributions by varying the aluminum content in HfO2. These authors provide a detailed analysis of how the composition of the charge-trapping layer, annealing processes, and the thickness of the tunneling oxide can affect the memory window, retention, and endurance of flash memory. They also shed light on potential future research directions and innovative developments that may arise from HfO2/Al2O3-based charge-trapping stacks.
Zinc oxide (ZnO) is recognized as a wide bandgap semiconductor, boasting several distinctive characteristics not found in CMOS technology, and it has been extensively utilized in a diverse array of sensory devices. Moreover, ZnO shows great potential as a material for flexible thin-film transistors (TFTs). Thus, this anthology includes a contribution by Wang et al., who reported on a novel ZnO:H/ZnO dual-layer structure aimed at improving a device’s performance (contribution 6). Their findings suggest that introducing hydrogen into the structure can mitigate oxygen-related defects, thereby diminishing carrier scattering and concurrently increasing carrier density.
As nanodevices are anticipated to exhibit increased vulnerability to electrostatic discharge (ESD) strikes, developing an effective ESD protection strategy that fits within a reduced design space and meets stringent requirements remains a significant challenge. A review by Li et al. (contribution 7) addresses these concerns, presenting a range of graphene-based ESD solutions that exemplify the integration of nanomaterials with CMOS technology. Furthermore, this Special Issue contains three contributions that report on device innovation with emerging 2D semiconductor materials. Abidi and co-workers developed a terahertz signal detection circuit using asymmetric dual-grating-gate bilayer graphene FETs (contribution 8), achieving nearly an order of magnitude increase in the photocurrent, which was attributed to the modulation of hole and electron concentrations via top and back gate biasing. Moreover, Xia et al. present a report of a brain implant electrode innovatively designed using single-walled carbon nanotubes (SWCNTs) (contribution 9). These SWCNTs are advantageous due to their minimal footprint, reduced impedance, and enhanced signal-to-noise ratio, especially when benchmarked against traditional probes. Wong et al. additionally present simulation work on a carbon nanotube (CNT)-encapsulated carbyne structure (contribution 10), with their findings suggesting that the stability of the carbyne nanotube is influenced by several factors, including the inherent characteristics of the CNT, its porosity, the external pressure applied, the ambient temperature, and the length of the carbyne chain. These dependencies suggest the possibility of carbyne length optimization for CNT transistors. Collectively, these reports reveal some of the various potential applications of 2D materials for heterogeneous CMOS integration.
CMOS technology has been the most powerful engine propelling our society into the digital and intelligent era. While the miniaturization of CMOS devices is approaching its physical limits, CMOS will remain the predominant integration technology for the foreseeable future. The next leap in technological advancement, therefore, is expected to stem from integrating innovative 2D materials into existing CMOS processes, thereby boosting circuit performance and introducing new functionalities. This Special Issue series thus aims to serve as a platform for experts from various disciplines to share their latest research results in this area. Both Special Issues, featuring six review papers and thirteen original contributions combined, collectively address the most significant topics within this field.

Funding

This work is supported by project#9231249 of the City University of Hong Kong, Hong Kong SAR, China.

Conflicts of Interest

The author declares no conflicts of interest.

List of Contributions

  • Wong, H.; Zhang, J.; Liu, J. Contacts at the Nanoscale and for Nanomaterials. Nanomaterials 2024, 14, 386. https://doi.org/10.3390/nano14040386.
  • Liu, M.; Sun, Z.; Lu, H.; Shen, C.; Zhang, L.; Wang, R.; Huang, R. A Coupling Mechanism between Flicker Noise and Hot Carrier Degradations in FinFETs. Nanomaterials 2023, 13, 1507. https://doi.org/10.3390/nano13091507.
  • Elmourabit, F.; Dlimi, S.; El Moutaouakil, A.; Id Ouissaaden, F.; Khoukh, A.; Limouny, L.; Elkhatat, H.; El Kaaouachi, A. Nature of the Metal Insulator Transition in High-Mobility 2D Si-MOSFETs. Nanomaterials 2023, 13, 2047. https://doi.org/10.3390/nano13142047.
  • Wong, H.; Kakushima, K. Poole–Frenkel (PF)-MOS: A Proposal for the Ultimate Scale of a MOS Transistor. Nanomaterials 2023, 13, 411. https://doi.org/10.3390/nano13030411.
  • Spassov, D.; Paskaleva, A. Challenges to Optimize Charge Trapping Non-Volatile Flash Memory Cells: A Case Study of HfO2/Al2O3 Nanolaminated Stacks. Nanomaterials 2023, 13, 2456. https://doi.org/10.3390/nano13172456.
  • Wang, D.; Jiang, Z.; Li, L.; Zhu, D.; Wang, C.; Han, S.; Fang, M.; Liu, X.; Liu, W.; Cao, P.; et al. High-Performance Thin-Film Transistors with ZnO:H/ZnO Double Active Layers Fabricated at Room Temperature. Nanomaterials 2023, 13, 1422. https://doi.org/10.3390/nano13081422.
  • Li, C.; Pan, Z.; Hao, W.; Li, X.; Miao, R.; Wang, A. Graphene-Based ESD Protection for Future ICs. Nanomaterials 2023, 13, 1426. https://doi.org/10.3390/nano13081426.
  • Abidi, E.; Khan, A.; Delgado-Notario, J.A.; Clericó, V.; Calvo-Gallego, J.; Taniguchi, T.; Watanabe, K.; Otsuji, T.; Velázquez, J.E.; Meziani, Y.M. Terahertz Detection by Asymmetric Dual Grating Gate Bilayer Graphene FETs with Integrated Bowtie Antenna. Nanomaterials 2024, 14, 383. https://doi.org/10.3390/nano14040383.
  • Xia, J.; Zhang, F.; Zhang, L.; Cao, Z.; Dong, S.; Zhang, S.; Luo, J.; Zhou, G. Magnetically Compatible Brain Electrode Arrays Based on Single-Walled Carbon Nanotubes for Long-Term Implantation. Nanomaterials 2024, 14, 240. https://doi.org/10.3390/nano14030240.
  • Wong, C.H.; Yeung, Y.M.; Zhao, X.; Law, W.C.; Tang, C.Y.; Mak, C.L.; Leung, C.W.; Shi, L.; Lortz, R. A Simulation of the Effect of External and Internal Parameters on the Synthesis of a Carbyne with More than 6000 Atoms for Emerging Continuously Tunable Energy Barriers in CNT-Based Transistors. Nanomaterials 2023, 13, 1048. https://doi.org/10.3390/nano13061048.

References

  1. Moore, S.K. Meet the Forksheet: IMEC’s In-Between Transistor: The Architecture Shrinks Circuits in a Valuable Step toward the Ultimate CMOS Device. IEEE Spectr. 25 May 2023. Available online: https://spectrum.ieee.org/Forksheet-transistor (accessed on 23 April 2024).
  2. Ryckaert, J.; Schuddinck, P.; Weckx, P.; Bouche, G.; Vincent, B.; Smith, J.; Sherazi, Y.; Mallik, A.; Mertens, H.; Demuynck, S.; et al. The Complementary FET (CFET) for CMOS scaling beyond N3. In Proceedings of the 2018 IEEE Symposium on VLSI Technology, Honolulu, HI, USA, 12–17 June 2018; pp. 141–142. [Google Scholar]
  3. Ingerly, D.B.; Enamul, K.; Gomes, W.; Jones, D.; Kolluru, K.C.; Kandas, A.; Kim, G.-S.; Ma, H.; Pantuso, D.; Petersburg, C.; et al. Foveros: 3D Integration and the use of Face-to-Face Chip Stacking for Logic Devices. In Proceedings of the IEEE International Electron Devices Meeting (IEDM), San Francisco, CA, USA, 7–11 December 2019; pp. 19.6.1–19.6.4. [Google Scholar]
  4. Hafez, W.; Agnihotri, P.; Asoro, M.; Aykol, M.; Bains, B.; Bambery, R.; Natarajan, S. Intel PowerVia Technology: Backside Power Delivery for High Density and High-Performance Computing. In Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits, Kyoto, Japan, 11–16 June 2023; pp. 1–2. [Google Scholar] [CrossRef]
  5. Moore, S.K. Chiplets are the Future of Processors: Three advances boost performance, cut costs, and save power. IEEE Spectr. 2020, 55, 11–12. [Google Scholar] [CrossRef]
  6. Mounce, G.; Lyke, J.; Horan, S.; Powell, W.; Doyle, R.; Some, R. Chiplet based Approach for Heterogeneous Processing and Packaging Architectures. In Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, 5–12 April 2016; pp. 1–12. [Google Scholar]
  7. Wong, H. Abridging CMOS Technology. Nanomaterials 2022, 12, 4245. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wong, H. Abridging the CMOS Technology II. Nanomaterials 2024, 14, 897. https://doi.org/10.3390/nano14110897

AMA Style

Wong H. Abridging the CMOS Technology II. Nanomaterials. 2024; 14(11):897. https://doi.org/10.3390/nano14110897

Chicago/Turabian Style

Wong, Hei. 2024. "Abridging the CMOS Technology II" Nanomaterials 14, no. 11: 897. https://doi.org/10.3390/nano14110897

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