journal article·2024-07

Layered Wide Bandgap Semiconductor GaPS4 as a Charge‐Trapping Medium for Use in High‐Temperature Artificial Synaptic Applications

Ding‐wen Cao, Yong Yan, Meng‐na Wang, Gao‐li Luo, Jia‐rong Zhao, Jia‐ke Zhi, Cong‐xin Xia, Yu‐fang Liu

Advanced Functional Materials· Volume 34· Issue 28
Publisher page

Abstract

Abstract Artificial synaptic devices (ASDs) are attracting widespread attention as highly promising components for use in complex neuromorphic systems, playing crucial roles in addressing the challenges posed by the conventional von Neumann architecture. However, the instabilities of ASDs in high‐temperature environments diminish the reliabilities of the device performances, significantly inhibiting their practical application. Herein, a highly reliable 2D MoS2/GaPS4 ASD that maintains its functionality even after exposure to 400 °C is proposed. Moreover, due to the enhanced charge‐trapping effect of the GaPS4 layer, the memory window expands from an initial 42 to 55 V, accompanied by a substantial on/off ratio of 105, low off‐leakage current of 10−11 A, and high number of endurance cycles (103). The device effectively simulates various biological synaptic functions via electric and light stimulation. Notably, the high electric and light paired‐pulse facilitation indices suggest an exceptional synaptic performance. The findings introduce a novel approach to high‐temperature neuromorphic applications via defect engineering.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Transition Metal Oxide Nanomaterials

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

Affiliations

Henan Key Laboratory of Infrared Materials & Spectrum Measures and Applications Henan Normal University Xinxiang 453007 China

School of Physics Henan Normal University Xinxiang 453007 China

School of Materials Science and Engineering Henan Normal University Xinxiang 453007 China

Institute of Physics Henan Academy of Sciences Zhengzhou 450046 China

Funding

National Natural Science Foundation of China · Innovation Scientists and Technicians Troop Construction Projects of Henan Province · Natural Science Foundation of Henan Province

References (67)

Show source-provided references
1. 10.1038/s41563-019-0291-x10.1038/s41563-019-0291-x ↗
2. 10.1002/adma.20200465910.1002/adma.202004659 ↗
3. 10.1038/s41586-019-1677-210.1038/s41586-019-1677-2 ↗
4. 10.1002/adma.20190276110.1002/adma.201902761 ↗
5. 10.1002/adma.20200439810.1002/adma.202004398 ↗
6. 10.1002/adfm.20200544310.1002/adfm.202005443 ↗
7. 10.1007/s10854-015-3459-410.1007/s10854-015-3459-4 ↗
8. 10.1109/95.33504710.1109/95.335047 ↗
9. 10.1002/adma.20180019510.1002/adma.201800195 ↗
10. 10.1002/adma.20180576910.1002/adma.201805769 ↗
11. 10.1002/adfm.20180559910.1002/adfm.201805599 ↗
12. 10.1021/acs.nanolett.7b0537710.1021/acs.nanolett.7b05377 ↗
13. 10.1126/sciadv.abb295810.1126/sciadv.abb2958 ↗
14. 10.1002/aelm.20190140810.1002/aelm.201901408 ↗
15. 10.3390/nano1218323310.3390/nano12183233 ↗
16. 10.1016/j.mssp.2023.10742410.1016/j.mssp.2023.107424 ↗
17. 10.1002/aelm.20220023810.1002/aelm.202200238 ↗
18. 10.1021/acsnano.2c1081610.1021/acsnano.2c10816 ↗
19. 10.1002/adma.20180622710.1002/adma.201806227 ↗
20. 10.1039/C5NR07336G10.1039/C5NR07336G ↗
21. 10.1038/srep3008410.1038/srep30084 ↗
22. 10.1063/5.002157910.1063/5.0021579 ↗
23. 10.1002/adma.20220498210.1002/adma.202204982 ↗
24. 10.1063/1.491496810.1063/1.4914968 ↗
25. 10.1021/acs.nanolett.6b0290510.1021/acs.nanolett.6b02905 ↗
26. 10.1021/acs.nanolett.1c0368410.1021/acs.nanolett.1c03684 ↗
27. 10.1038/s41928-022-00877-w10.1038/s41928-022-00877-w ↗
28. 10.1038/s41928-022-00768-010.1038/s41928-022-00768-0 ↗
29. 10.1002/adma.20200876110.1002/adma.202008761 ↗
30. 10.1007/s12274-022-4463-710.1007/s12274-022-4463-7 ↗
31. 10.1021/nn505941910.1021/nn5059419 ↗
32. 10.1002/advs.20210346010.1002/advs.202103460 ↗
33. 10.1021/acsami.3c0300210.1021/acsami.3c03002 ↗
34. 10.1021/acsnano.7b0826110.1021/acsnano.7b08261 ↗
35. 10.1002/smll.20160296710.1002/smll.201602967 ↗
36. 10.1021/acsnano.5b0517310.1021/acsnano.5b05173 ↗
37. 10.1002/adfm.20190814710.1002/adfm.201908147 ↗
38. 10.1063/5.008939310.1063/5.0089393 ↗
39. 10.1002/adma.20180622710.1002/adma.201806227 ↗
40. 10.1002/aelm.20180072610.1002/aelm.201800726 ↗
41. 10.1016/j.nanoen.2019.10410710.1016/j.nanoen.2019.104107 ↗
42. 10.1002/adfm.20190289010.1002/adfm.201902890 ↗
43. 10.1002/adma.20190804010.1002/adma.201908040 ↗
44. 10.1002/adfm.20200168810.1002/adfm.202001688 ↗
45. 10.1002/advs.20210141710.1002/advs.202101417 ↗
46. 10.1021/acsami.0c1633610.1021/acsami.0c16336 ↗
47. 10.1038/s41565-020-00826-810.1038/s41565-020-00826-8 ↗
48. 10.1021/acsnano.8b0181010.1021/acsnano.8b01810 ↗
49. 10.1021/acsnano.3c0178610.1021/acsnano.3c01786 ↗
50. 10.1002/adma.20230558010.1002/adma.202305580 ↗
51. 10.1021/acsami.0c2256110.1021/acsami.0c22561 ↗
52. 10.3390/brainsci911030010.3390/brainsci9110300 ↗
53. 10.1038/8145310.1038/81453 ↗
54. 10.1021/nl904092h10.1021/nl904092h ↗
55. 10.1146/annurev.physiol.64.092501.11454710.1146/annurev.physiol.64.092501.114547 ↗
56. 10.1063/5.015901210.1063/5.0159012 ↗
57. 10.1109/TED.2023.332830410.1109/TED.2023.3328304 ↗
58. 10.1002/adfm.20230694510.1002/adfm.202306945 ↗
59. 10.1021/acsami.2c0833510.1021/acsami.2c08335 ↗
60. 10.1021/acsami.0c2256110.1021/acsami.0c22561 ↗
61. 10.1002/smll.20210317510.1002/smll.202103175 ↗
62. 10.1002/inf2.1223010.1002/inf2.12230 ↗
63. 10.3390/nano1011215910.3390/nano10112159 ↗
64. 10.1002/smll.20190142310.1002/smll.201901423 ↗
65. 10.1002/adfm.20180417010.1002/adfm.201804170 ↗
66. 10.1039/D0RA03183F10.1039/D0RA03183F ↗
67. 10.1021/acsami.5b1037010.1021/acsami.5b10370 ↗