journal article·2023-09-08

Memory Window Ratio Enhancement of p-Type WSe2 Memtransistors Using Dielectric GeSe2 Nanosheets with Asymmetric Interfaces for Neuromorphic Computing

Mengna Wang, Yingjie Lv, Shasha Li, Jiarong Zhao, Dingwen Cao, Gaoli Luo, Yurong Jiang, Xiaohui Song, Yong Yan, Congxin Xia

ACS Applied Nano Materials· Volume 6· Issue 17
Publisher page

Abstract

The emergence of 2D wide-bandgap semiconductor (WBGS) GeSe 2 as charge-trapping dielectrics has helped realize superior devices by using an extremely simple device setup. However, the controllability of deep-gap-state defects in 2D GeSe 2 poses a challenge due to the vulnerability and susceptibility of charge-trapping centers, resulting in various problems, i.e., small memory window and poor device durability during programming. Herein, we deliberately perform asymmetric interfacial oxidation to reinforce the memory performance based on the WSe 2 /Janus-GeSe 2 van der Waals heterostructure, which exhibits a giant memory window ratio of 88.5% (70.8 V at ±40 V gate sweep range), high-room-temperature hole mobility of 15 cm 2 V –1 s –1, and low nonlinearity factor close to 0 with regard to synaptic weight update characteristics. The information storage performance is excellent, owing to the interface rendered by asymmetric oxidation in the GeSe 2 layer, providing an effective charge-trapping layer and atomically flat surface to enhance the mobility of the WSe 2 channel. The controllable strategy helps to derive a simple design principle to realize high-performance 2D WBGS GeSe 2 -based memory and electrical synaptic devices with complex neural functions.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · 2D Materials and Applications · Perovskite Materials and Applications

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

Affiliations

School of Physics, Henan Key Laboratory of Photovoltaic Materials, Henan Normal University, Xinxiang, Henan 453007, China

School of Electronic Engineering, Chaohu University, Hefei 238000, China

Funding

Natural Science Foundation of Henan Province · Key Scientific Research Project of Colleges and Universities in Henan Province · Science and Technology Innovation Talents in Universities of Henan Province · Henan Normal University · National Natural Science Foundation of China

References (55)

Show source-provided references
1. 10.1021/acsnano.1c1018110.1021/acsnano.1c10181 ↗
2. 10.1002/adfm.20187010610.1002/adfm.201870106 ↗
3. 10.1038/s41565-020-0647-z10.1038/s41565-020-0647-z ↗
4. 10.1038/s41467-017-02337-y10.1038/s41467-017-02337-y ↗
5. 10.1126/sciadv.abg145510.1126/sciadv.abg1455 ↗
6. 10.1038/s41467-022-33053-x10.1038/s41467-022-33053-x ↗
7. 10.1038/natrevmats.2018.1410.1038/natrevmats.2018.14 ↗
8. 10.1002/adma.20227033010.1002/adma.202270330 ↗
9. 10.1002/adfm.20180687810.1002/adfm.201806878 ↗
10. 10.1038/s41565-021-00921-410.1038/s41565-021-00921-4 ↗
11. 10.1038/s41565-021-00904-510.1038/s41565-021-00904-5 ↗
12. 10.1007/s12274-018-2200-z10.1007/s12274-018-2200-z ↗
13. 10.1088/1674-4926/42/8/08410110.1088/1674-4926/42/8/084101 ↗
14. 10.1002/adma.20207039410.1002/adma.202070394 ↗
15. 10.1002/adma.20210773410.1002/adma.202107734 ↗
16. 10.1002/smll.20180466110.1002/smll.201804661 ↗
17. 10.1038/ncomms1473410.1038/ncomms14734 ↗
18. 10.1021/acsami.0c1944310.1021/acsami.0c19443 ↗
19. 10.1002/advs.20210141710.1002/advs.202101417 ↗
20. 10.1007/s12274-021-3346-710.1007/s12274-021-3346-7 ↗
21. 10.1021/nn501181t10.1021/nn501181t ↗
22. 10.1126/sciadv.aao503110.1126/sciadv.aao5031 ↗
23. 10.1063/5.002157910.1063/5.0021579 ↗
24. 10.1002/advs.20220016810.1002/advs.202200168 ↗
25. 10.1002/smll.20200521710.1002/smll.202005217 ↗
26. 10.1002/adma.20220866410.1002/adma.202208664 ↗
27. 10.1002/adma.20220498210.1002/adma.202204982 ↗
28. 10.1002/advs.20180181010.1002/advs.201801810 ↗
29. 10.1016/j.nanoen.2022.10797210.1016/j.nanoen.2022.107972 ↗
30. 10.1039/D1TC01824H10.1039/D1TC01824H ↗
31. 10.1002/adom.20190062210.1002/adom.201900622 ↗
32. 10.1002/adma.20200876110.1002/adma.202008761 ↗
33. 10.1039/c3nr03052k10.1039/c3nr03052k ↗
34. 10.1039/D2NA00565D10.1039/D2NA00565D ↗
35. 10.1002/adma.20210989910.1002/adma.202109899 ↗
36. 10.1039/D2NR00728B10.1039/D2NR00728B ↗
37. 10.1021/acsami.1c2391810.1021/acsami.1c23918 ↗
38. 10.1103/PhysRevB.106.08520310.1103/PhysRevB.106.085203 ↗
39. 10.1002/pssa.20220015610.1002/pssa.202200156 ↗
40. 10.1021/acsnano.1c1097810.1021/acsnano.1c10978 ↗
41. 10.1021/acsnano.1c0810410.1021/acsnano.1c08104 ↗
42. 10.1002/adma.20211027810.1002/adma.202110278 ↗
43. 10.1002/aelm.20220066510.1002/aelm.202200665 ↗
44. 10.1039/C9NR05881H10.1039/C9NR05881H ↗
45. 10.1021/acsaelm.2c0105310.1021/acsaelm.2c01053 ↗
46. 10.1002/pssa.20170021810.1002/pssa.201700218 ↗
47. 10.1039/c2jm35006h10.1039/c2jm35006h ↗
48. 10.1021/acsami.2c0116210.1021/acsami.2c01162 ↗
49. 10.1002/adma.20210775410.1002/adma.202107754 ↗
50. 10.1038/s41467-018-05397-w10.1038/s41467-018-05397-w ↗
51. 10.1038/s41467-020-16766-910.1038/s41467-020-16766-9 ↗
52. 10.1002/inf2.1231710.1002/inf2.12317 ↗
53. 10.1038/s41467-018-07572-510.1038/s41467-018-07572-5 ↗
54. 10.1038/s41586-018-0180-510.1038/s41586-018-0180-5 ↗
55. Mochida R. · 2018 · 175