Promising ultra-short channel transistors based on OM 2 S (M = Ga, In) monolayers for high performance and low power consumption
Source abstract
Abstract
It is hoped that two-dimensional (2D) semiconductors overcome the short channel effect and continue Moore's law. However, 2D material-based ultra-short channel devices still face the challenge of simultaneously achieving high-performance (HP) and low-power (LP) consumption. Here, we theoretically designed monolayer OM2S (M = Ga, In)-based metal-oxide-semiconductor field-effect transistors (MOSFETs), considering the gate length from 1 to 5 nm, doping concentration and underlap structure. We found that in HP (LP) applications, the on-state current exceeds 1000 (500) μA μm-1 under a 1 nm (2 nm) gate length, surpassing the needs of the International Technology Roadmap for Semiconductors (ITRS) in 2028. The subthreshold swing is close to the Boltzmann tyranny (60 mV dec-1) even as the gate length shrinks to 2 nm. The energy-delay product is two orders lower than 1.02 × 10-28 J s μm-1, indicating extraordinary high-speed manipulation and low-energy expending. Therefore, monolayer OM2S has great application in ultra-short scale devices with HP and LP consumption, and can be taken as a candidate to extend Moore's Law.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: 2D Materials and Applications · Semiconductor materials and devices · Ferroelectric and Negative Capacitance Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Electronic and Electrical Engineering, Henan Normal University, Xinxiang, Henan 453007, China
Department of physics, Henan Normal University, Xinxiang 453007, China
Institute of Semiconductors, South China Normal University, Guangzhou 510631, China
Funding
National Natural Science Foundation of China
References (58)
Show source-provided references
1. Pizzi · Nat. Commun. · 2016 · 7 · 1258510.1038/ncomms12585 ↗
2. Ferain · Nature · 2011 · 479 · 31010.1038/nature10676 ↗
3. Quhe · Phys. Rep. · 2021 · 938 · 110.1016/j.physrep.2021.07.006 ↗
4. Li · Nature · 2019 · 567 · 16910.1038/d41586-019-00793-8 ↗
5. Desai · Science · 2016 · 354 · 9910.1126/science.aah4698 ↗
6. Ji · Nat. Commun. · 2016 · 7 · 1335210.1038/ncomms13352 ↗
7. Chhowalla · Nat. Rev. Mater. · 2016 · 1 · 1605210.1038/natrevmats.2016.52 ↗
8. Marin · ACS Nano · 2020 · 14 · 198210.1021/acsnano.9b08489 ↗
9. Liu · Nano Lett. · 2021 · 21 · 740510.1021/acs.nanolett.1c01975 ↗
10. Late · Adv. Mater. · 2012 · 24 · 354910.1002/adma.201201361 ↗
11. Du · Appl. Phys. Lett. · 2020 · 116 · 25310210.1063/5.0010498 ↗
12. Lei · Nano Lett. · 2015 · 15 · 304810.1021/acs.nanolett.5b00016 ↗
13. Li · Phys. Rev. Appl. · 2022 · 18 · 04401210.1103/PhysRevApplied.18.044012 ↗
14. Carey · Nat. Commun. · 2017 · 8 · 1448210.1038/ncomms14482 ↗
15. Bandurin · Nat. Nanotechnol. · 2017 · 12 · 22310.1038/nnano.2016.242 ↗
16. Tu · Nanoscale · 2020 · 12 · 936610.1039/D0NR01104E ↗
17. Zhang · ACS Nano · 2017 · 11 · 819210.1021/acsnano.7b03186 ↗
18. Li · Adv. Mater. · 2020 · 32 · e200240110.1002/adma.202002401 ↗
19. Wan · ACS Nano · 2021 · 15 · 2031910.1021/acsnano.1c08531 ↗
20. Lu · Nat. Nanotechnol. · 2017 · 12 · 74410.1038/nnano.2017.100 ↗
21. Liu · Phys. Rev. B · 2021 · 103 · 07542110.1103/PhysRevB.103.075421 ↗
22. Varjovi · Phys. Rev. B · 2021 · 103 · 19543810.1103/PhysRevB.103.195438 ↗
23. Xia · Phys. Rev. B · 2018 · 98 · 16542410.1103/PhysRevB.98.165424 ↗
24. Liu · Phys. Rev. B · 2021 · 104 · 03540910.1103/PhysRevB.104.035409 ↗
25. Guo · Appl. Phys. Lett. · 2017 · 110 · 16310210.1063/1.4981877 ↗
26. Kandemir · Phys. Rev. B · 2018 · 97 · 15541010.1103/PhysRevB.97.155410 ↗
27. Seixas · J. Appl. Phys. · 2020 · 128 · 04511510.1063/5.0012427 ↗
28. Vu · Phys. Rev. B · 2021 · 104 · 11541010.1103/PhysRevB.104.115410 ↗
29. Demirtas · Phys. Rev. Mater. · 2020 · 4 · 11400310.1103/PhysRevMaterials.4.114003 ↗
30. Qiu · IEEE Electron Device Lett. · 2021 · 42 · 56110.1109/LED.2021.3056886 ↗
31. Wang · J. Mater. Chem. C · 2021 · 9 · 498910.1039/D1TC00318F ↗
32. Liu · Phys. Rev. B · 2022 · 105 · 03541810.1103/PhysRevB.105.035418 ↗
33. Vu · Phys. Rev. B · 2021 · 103 · 08542210.1103/PhysRevB.103.085422 ↗
34. Demirtas · Phys. Rev. B · 2020 · 101 · 07542310.1103/PhysRevB.101.075423 ↗
35. Bai · Appl. Surf. Sci. · 2019 · 478 · 52210.1016/j.apsusc.2019.02.004 ↗
36. Li · Small · 2018 · 14 · e180209110.1002/smll.201802091 ↗
37. Li · Phys. Rev. B · 2022 · 106 · 12530610.1103/PhysRevB.106.125306 ↗
38. Kresse · Comput. Mater. Sci. · 1996 · 6 · 1510.1016/0927-0256(96)00008-0 ↗
39. Brandbyge · Phys. Rev. B: Condens. Matter Mater. Phys. · 2002 · 65 · 16540110.1103/PhysRevB.65.165401 ↗
40. Hamann · Phys. Rev. B: Condens. Matter Mater. Phys. · 2013 · 88 · 08511710.1103/PhysRevB.88.085117 ↗
41. Perdew · Phys. Rev. Lett. · 1996 · 77 · 386510.1103/PhysRevLett.77.3865 ↗
42. Liu · Nanoscale · 2021 · 13 · 553610.1039/D0NR09094H ↗
43. Guo · Nanoscale · 2020 · 12 · 1544310.1039/D0NR02170A ↗
44. Zhou · Nanoscale · 2020 · 12 · 1893110.1039/D0NR04129G ↗
45. Zhou · Phys. Rev. Appl. · 2020 · 13 · 04406610.1103/PhysRevApplied.13.044066 ↗
46. Huang · Phys. Rev. Appl. · 2021 · 16 · 04402210.1103/PhysRevApplied.16.044022 ↗
47. Guo · Phys. Rev. Appl. · 2020 · 14 · 04403110.1103/PhysRevApplied.14.044031 ↗
48. Guo · Phys. Rev. Appl. · 2022 · 17 · 06401010.1103/PhysRevApplied.17.064010 ↗
49. Wang · Appl. Phys. Lett. · 2021 · 119 · 16350410.1063/5.0070904 ↗
50. Yin · IEEE Trans. Electron Devices · 2021 · 68 · 364910.1109/TED.2021.3080225 ↗
51. Quhe · Phys. Rev. Appl. · 2018 · 10 · 02402210.1103/PhysRevApplied.10.024022 ↗
52. Li · Nanoscale · 2019 · 11 · 2339210.1039/C9NR07590A ↗
53. Zhang · ACS Appl. Electron. Mater. · 2021 · 3 · 156010.1021/acsaelm.0c00840 ↗
54. Sun · J. Mater. Chem. C · 2021 · 9 · 1468310.1039/D1TC02937A ↗
55. Xu · J. Mater. Chem. C · 2022 · 10 · 222310.1039/D1TC03814A ↗
56. Li · J. Phys. Chem. C · 2021 · 125 · 1939410.1021/acs.jpcc.1c01754 ↗
57. Sun · ACS Appl. Mater. Interfaces · 2018 · 10 · 2236310.1021/acsami.8b03840 ↗
58. Wang · ACS Appl. Mater. Interfaces · 2018 · 10 · 2334410.1021/acsami.8b06427 ↗