journal article·2023-04-12

Reliability and Stability Improvement of MOS Capacitors via Nitrogen–Hydrogen Mixed Plasma Pretreatment for SiC Surfaces

Shengsheng Wei, Jiao Bai, Weiwei Xie, Yan Su, Fuwen Qin, Dejun Wang

ACS Applied Materials & Interfaces· Volume 15· Issue 14
Publisher page

Abstract

We investigated the effect of nitrogen–hydrogen (NH) mixed plasma pretreatment of 4H–SiC surfaces on SiC surface properties, SiO 2 /SiC interface quality, and the reliability and voltage stability of metal–oxide–semiconductor (MOS) capacitors. The NH plasma pretreatment decreased the incomplete oxide and contaminants on the SiC surface and reduced the density of SiO 2 /SiC interface traps. Compared with the untreated sample, the dielectric insulating characteristics and reliability of samples pretreated by NH plasma were improved. We also demonstrated that the shift/hysteresis of the flat band voltage ( V fb ) and the midgap voltage ( V mg ) induced by bias temperature stress for SiC MOS capacitors after NH plasma pretreatment was significantly decreased. Furthermore, the mechanisms of NH plasma pretreatment to improve interface properties and device performances were determined by combining secondary ion mass spectrometry (SIMS) measurements, X-ray photoelectron spectroscopy (XPS), and first-principles calculations. The result indicates that the excessive oxidation at the SiO 2 /SiC interface was limited due to the reduction in the diffusion of oxygen atoms into SiC caused by the surface Si–H and Si–N; NH plasma pretreatment suppressed the generation of interfacial traps by reducing surface pollutants and passivating surface defects, and some N atoms introduced into the SiO 2 /SiC interface effectively passivated the interfacial electroactive traps.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Semiconductor materials and devices · Silicon Carbide Semiconductor Technologies · Copper Interconnects and Reliability

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

Affiliations

Key Laboratory of Intelligent Control and Optimization for Industrial Equipment (Dalian University of Technology), Ministry of Education, School of Control Science and Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

State Key Laboratory of Materials Modification by Laser, Ion, and Electron Beams (Ministry of Education), Dalian University of Technology, Dalian 116024, China

Key Laboratory of Integrated Circuit and Biomedical Electronic System, Liaoning Province, School of Control Science and Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Funding

National Natural Science Foundation of China

References (48)

Show source-provided references
1. 10.1039/D0TC05988A10.1039/D0TC05988A ↗
2. 10.1021/acs.nanolett.7b0349010.1021/acs.nanolett.7b03490 ↗
3. 10.1021/nl502069d10.1021/nl502069d ↗
4. 10.1021/ja905346510.1021/ja9053465 ↗
5. 10.1039/C5TC00076A10.1039/C5TC00076A ↗
6. 10.1109/tpel.2021.310527210.1109/tpel.2021.3105272 ↗
7. 10.1021/acs.jpca.7b0898310.1021/acs.jpca.7b08983 ↗
8. 10.1063/1.472278210.1063/1.4722782 ↗
9. 10.1088/1674-1056/ac7ccf10.1088/1674-1056/ac7ccf ↗
10. 10.1063/1.474006810.1063/1.4740068 ↗
11. 10.1063/1.132837010.1063/1.1328370 ↗
12. 10.1039/C8TC02935K10.1039/C8TC02935K ↗
13. 10.1016/j.apsusc.2020.14583710.1016/j.apsusc.2020.145837 ↗
14. 10.1063/1.343240410.1063/1.3432404 ↗
15. 10.1063/1.496905010.1063/1.4969050 ↗
16. 10.1088/1361-6463/ab41dc10.1088/1361-6463/ab41dc ↗
17. 10.1063/1.135184510.1063/1.1351845 ↗
18. 10.1016/j.apsusc.2022.15616110.1016/j.apsusc.2022.156161 ↗
19. 10.1063/1.487866110.1063/1.4878661 ↗
20. 10.1016/j.apsusc.2011.07.01210.1016/j.apsusc.2011.07.012 ↗
21. 10.1063/1.289203610.1063/1.2892036 ↗
22. 10.1016/S0169-4332(00)00092-110.1016/S0169-4332(00)00092-1 ↗
23. 10.1143/APEX.3.02620110.1143/APEX.3.026201 ↗
24. 10.1149/2.003201jes10.1149/2.003201jes ↗
25. 10.1063/5.004058610.1063/5.0040586 ↗
26. 10.1002/anie.20191600010.1002/anie.201916000 ↗
27. 10.1016/j.pmatsci.2019.10059110.1016/j.pmatsci.2019.100591 ↗
28. 10.1063/1.220459710.1063/1.2204597 ↗
29. 10.1021/am504306t10.1021/am504306t ↗
30. 10.1016/j.actamat.2012.11.04710.1016/j.actamat.2012.11.047 ↗
31. 10.1103/PhysRevLett.90.25610210.1103/PhysRevLett.90.256102 ↗
32. 10.1103/PhysRevB.79.07541910.1103/PhysRevB.79.075419 ↗
33. 10.1063/1.138518110.1063/1.1385181 ↗
34. 10.1063/1.181443810.1063/1.1814438 ↗
35. 10.1063/1.481814110.1063/1.4818141 ↗
36. 10.1109/TDMR.2008.200118210.1109/TDMR.2008.2001182 ↗
37. 10.1109/TED.2008.92659510.1109/TED.2008.926595 ↗
38. 10.1109/TED.2019.295491110.1109/TED.2019.2954911 ↗
39. 10.1109/55.92484710.1109/55.924847 ↗
40. 10.1016/j.mssp.2017.11.02810.1016/j.mssp.2017.11.028 ↗
41. 10.1063/1.492274810.1063/1.4922748 ↗
42. 10.1021/acsami.8b1289510.1021/acsami.8b12895 ↗
43. 10.1063/1.486164610.1063/1.4861646 ↗
44. 10.1063/1.508475910.1063/1.5084759 ↗
45. 10.1016/j.apsusc.2019.05.24110.1016/j.apsusc.2019.05.241 ↗
46. 10.1063/1.12610310.1063/1.126103 ↗
47. 10.1016/j.apsusc.2022.15246110.1016/j.apsusc.2022.152461 ↗
48. 10.1016/j.vacuum.2022.11168910.1016/j.vacuum.2022.111689 ↗