journal article·2025-09Open access

Low‐κ Extension Doping for High‐Performance Carbon Nanotube Transistors: Toward High‐Speed, Energy‐Efficient Electronics

Hsin‐Yuan Chiu, Chen‐Han Chou, Guan‐Zhen Wu, Han‐Yi Huang, Bo‐Heng Liu, Chi‐Chung Kei, Chao‐Hsin Chien

Advanced Science· Volume 12· Issue 33

Abstract

Abstract Carbon nanotubes (CNTs) present considerable potential as next‐generation logic switches owing to their ultra‐thin structure and exceptional electrical properties. Although recent advancements have achieved impressive direct current (DC) performance in individual devices, research on the architectural design of CNT‐based transistors remains limited. This gap is critical, as device architecture directly influences power consumption and switching speed at the circuit level. In particular, the balance between parasitic capacitance and resistance, key factors determining resistive‐capacitive (RC) delay, has not been thoroughly addressed. In this study, top‐gate CNT metal–oxide–semiconductor field‐effect transistors (MOSFETs) that employ a novel low‐κ extension doping technique are presented. This approach utilizes a stacked SiO x /AlF x layer (κ = 3.9 and 2.5) to enhance device performance while minimizing parasitic capacitance between the top gate and contact metal. The proposed approach improves the driving current by 8.4 times and reduces the total resistance by 85% when compared with CNT MOSFETs with undoped extensions. The doping level is tunable from 0.5 nm −1 to 0.59 nm −1 , with electrostatic doping driven by negative charges at the SiO x ​/AlF x interface. The benchmarking results demonstrate the record‐low κ‐value and physical thickness presented by the proposed approach, highlighting its potential for high‐performance, high‐speed applications.
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Research context

OpenAlex topics: Graphene research and applications · Carbon Nanotubes in Composites · Semiconductor materials and devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Electronics National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan

Taiwan Instrument Research Institute National Applied Research Laboratories Hsinchu 30076 Taiwan

Funding

National Science and Technology Council

References (32)

Show source-provided references
1. S. K.Su E.Chen T. Y. T.Hung M. Z.Li G.Pitner C. C.Cheng H.Wang J.Cai H. S. P.Wong I. P.Radu in2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) Honolulu HI2022.
2. Franklin A. D. · International Electron Devices Meeting · 2011 · 27 · 21
3. 10.1126/science.aaj162810.1126/science.aaj1628 ↗
4. G.Pitner Z.Zhang Q.Lin S. K.Su C.Gilardi C.Kuo H.Kashyap T.Weiss Z.Yu T. A.Chao et al. in2020 IEEE International Electron Devices Meeting (IEDM) San Francisco CA2020.
5. 10.1021/acs.nanolett.8b0437010.1021/acs.nanolett.8b04370 ↗
6. 10.1021/acsnano.4c1737610.1021/acsnano.4c17376 ↗
7. 10.1002/adfm.20210453910.1002/adfm.202104539 ↗
8. 10.1038/s41928-023-00983-310.1038/s41928-023-00983-3 ↗
9. 10.1038/s44287-024-00093-y10.1038/s44287-024-00093-y ↗
10. 10.1021/acsnano.3c0434610.1021/acsnano.3c04346 ↗
11. 10.1126/sciadv.adl163610.1126/sciadv.adl1636 ↗
12. 10.1021/acsami.3c1947910.1021/acsami.3c19479 ↗
13. S.Li T.‐A.Chao C.Gilardi N.Safron S.‐K.Su G.Zeevi A.Bechdolt M.Passlack A.Oberoi Q.Lin et al. High‐performance and low parasitic capacitance CNT MOSFET: 1.2 mA/µm at VDS of 0.75 V by self‐aligned doping in sub‐20 nm spacer San Francisco CA2023.10.1109/IEDM45741.2023.10413827 ↗
14. 10.1038/s41928-023-01047-210.1038/s41928-023-01047-2 ↗
15. C.Gilardi G.Zeevi S.Choi S.‐K.Su T.Hung S.Li N.Safron Q.Lin T.Srimani M.Passlack et al. 2023 International Electron Devices Meeting (IEDM) San Francisco CA2023.
16. 10.1021/acsnano.3c0052210.1021/acsnano.3c00522 ↗
17. 10.1016/j.apsusc.2004.05.11310.1016/j.apsusc.2004.05.113 ↗
18. 10.1002/pssb.20180038910.1002/pssb.201800389 ↗
19. 10.1063/5.001377810.1063/5.0013778 ↗
20. 10.1002/aelm.20230051910.1002/aelm.202300519 ↗
21. 10.1002/aelm.20240066010.1002/aelm.202400660 ↗
22. 10.1109/LED.2021.313373710.1109/LED.2021.3133737 ↗
23. 10.1103/PhysRevLett.88.03680410.1103/PhysRevLett.88.036804 ↗
24. Fathi D. · 2010
25. N.Srivastava K.Banerjee inICCAD‐2005. IEEE/ACM International Conference on Computer‐Aided Design San Jose CA2005.
26. 10.1088/0957-4484/15/7/05110.1088/0957-4484/15/7/051 ↗
27. 10.1126/science.aba598010.1126/science.aba5980 ↗
28. N.Safron H. Y.Chiu T. A.Chao S. K.Su M.Passlack K. H.Chiu C. W.Chen C. C.Kei C. H.Chou T. E.Lee et al. in2023 International Electron Devices Meeting (IEDM) San Francisco CA2023.
29. 10.1021/acs.nanolett.5c0000510.1021/acs.nanolett.5c00005 ↗
30. 10.1021/acsnano.8b0420810.1021/acsnano.8b04208 ↗
31. 10.1038/s41928-018-0038-810.1038/s41928-018-0038-8 ↗
32. 10.1021/nl503709810.1021/nl5037098 ↗