Reconfigurable Adaptive Synapse and Logic Device by Ambipolar Ferroelectric Semiconductor
Source abstract
Abstract
ABSTRACT Dynamic control in artificial intelligence hardware is increasingly emphasized for the co‐integration of learning and computing. However, existing approaches to dynamic mode modulation often require impractical structures or parasitic external signals, which pose significant challenges for realistic implementation. This study presents an α‐In 2 Se 3 device with ambipolar transport behavior, achieved through surface charge transfer doping (SCTD). The p‐type conduction arises from In 2 O 3 , which acts as the highest occupied molecular orbital (HOMO), and Se vacancies, which serve as acceptors. Adaptive synaptic and logic functions are enabled through the control of ferroelectric polarization. The excitatory/inhibitory synaptic mode reconfiguration was successfully realized at an ultralow energy consumption from approximately 200 aJ to 20 fJ. The reversible ferroelectric switching serves as the underlying mechanism for the tunability of the inverter trip point. This study is an effort to break away from dedicated stationary applications and move closer to a future prototype device than previous works in integrating neuromorphic computing and logical functionalities.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Magnetic properties of thin films
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic Engineering Jeonbuk National University Jeonju Republic of Korea
Department of Intelligent Semiconductor Engineering University of Seoul Seoul Republic of Korea
Department of Materials Science & Engineering Hongik University Seoul Republic of Korea
Department of Physics Gachon University Seongnam Republic of Korea
IT Convergence Research Center Jeonbuk National University Jeonju Republic of Korea
References (60)
Show source-provided references
1. 10.1038/nnano.2015.2910.1038/nnano.2015.29 ↗
2. 10.1038/s41586‐024‐08253‐810.1038/s41586‐024‐08253‐8 ↗
3. 10.1038/s41928‐022‐00858‐z10.1038/s41928‐022‐00858‐z ↗
4. 10.1038/s41563‐023‐01676‐010.1038/s41563‐023‐01676‐0 ↗
5. 10.1021/acsnano.3c0390010.1021/acsnano.3c03900 ↗
6. 10.1021/acs.nanolett.3c0124810.1021/acs.nanolett.3c01248 ↗
7. 10.1038/294757a010.1038/294757a0 ↗
8. 10.1073/pnas.76.12.666610.1073/pnas.76.12.6666 ↗
9. 10.1002/adma.20230106310.1002/adma.202301063 ↗
10. 10.1002/adfm.20190964510.1002/adfm.201909645 ↗
11. 10.1021/acsami.3c0006310.1021/acsami.3c00063 ↗
12. 10.1021/acsnano.6b0629310.1021/acsnano.6b06293 ↗
13. 10.1038/s41565‐020‐0724‐310.1038/s41565‐020‐0724‐3 ↗
14. 10.1002/adfm.20200460910.1002/adfm.202004609 ↗
15. 10.1002/adfm.20230668210.1002/adfm.202306682 ↗
16. 10.1002/adfm.20231636010.1002/adfm.202316360 ↗
17. M.Si Y.Luo andW.Chung “A Novel Scalable Energy‐efficient Synaptic Device: Crossbar Ferroelectric Semiconductor Junction ” in2019 IEEE International Electron Devices Meeting (IEDM)(IEEE 2019) 6–6.10.1109/IEDM19573.2019.8993622 ↗
18. 10.1038/s41928‐019‐0338‐710.1038/s41928‐019‐0338‐7 ↗
19. 10.1038/s41928‐022‐00847‐210.1038/s41928‐022‐00847‐2 ↗
20. 10.1007/s40820‐021‐00784‐310.1007/s40820‐021‐00784‐3 ↗
21. 10.1021/acs.nanolett.7b0219810.1021/acs.nanolett.7b02198 ↗
22. 10.1021/acs.nanolett.7b0485210.1021/acs.nanolett.7b04852 ↗
23. 10.1126/sciadv.aar772010.1126/sciadv.aar7720 ↗
24. 10.1002/adfm.20251476710.1002/adfm.202514767 ↗
25. 10.1021/acs.nanolett.5b0159010.1021/acs.nanolett.5b01590 ↗
26. 10.1021/acs.nanolett.2c0428910.1021/acs.nanolett.2c04289 ↗
27. 10.1021/acsnano.0c0557210.1021/acsnano.0c05572 ↗
28. 10.1002/adfm.20170453910.1002/adfm.201704539 ↗
29. 10.1002/adfm.20160348410.1002/adfm.201603484 ↗
30. 10.1016/j.progsurf.2009.06.00210.1016/j.progsurf.2009.06.002 ↗
31. 10.1126/sciadv.abn318110.1126/sciadv.abn3181 ↗
32. 10.1002/adma.20180299110.1002/adma.201802991 ↗
33. 10.1038/ncomms748510.1038/ncomms7485 ↗
34. 10.1002/adma.20160643310.1002/adma.201606433 ↗
35. 10.1021/acsnano.3c0052210.1021/acsnano.3c00522 ↗
36. 10.1021/nl301702r10.1021/nl301702r ↗
37. 10.1021/acsami.7b0491910.1021/acsami.7b04919 ↗
38. 10.1002/adma.20160196610.1002/adma.201601966 ↗
39. 10.1038/ncomms1495610.1038/ncomms14956 ↗
40. 10.1021/acs.jpcc.6b0645210.1021/acs.jpcc.6b06452 ↗
41. 10.1021/jp506964m10.1021/jp506964m ↗
42. 10.1002/smll.20240545910.1002/smll.202405459 ↗
43. 10.1021/acs.nanolett.4c0516510.1021/acs.nanolett.4c05165 ↗
44. 10.1021/acs.nanolett.6b0226310.1021/acs.nanolett.6b02263 ↗
45. 10.1038/s41699‐020‐00198‐610.1038/s41699‐020‐00198‐6 ↗
46. 10.1038/s41928‐023‐01034‐710.1038/s41928‐023‐01034‐7 ↗
47. 10.1038/s41928‐020‐0433‐910.1038/s41928‐020‐0433‐9 ↗
48. 10.1002/adfm.20241735810.1002/adfm.202417358 ↗
49. 10.1002/adma.20210775410.1002/adma.202107754 ↗
50. 10.1021/acsnano.2c0007910.1021/acsnano.2c00079 ↗
51. 10.1021/acsami.5c0342910.1021/acsami.5c03429 ↗
52. 10.1038/s41586‐021‐03472‐910.1038/s41586‐021‐03472‐9 ↗
53. 10.1002/adfm.20201051310.1002/adfm.202010513 ↗
54. 10.1002/adma.20130584510.1002/adma.201305845 ↗
55. 10.1002/adfm.20180901110.1002/adfm.201809011 ↗
56. 10.1021/acsaelm.1c0072410.1021/acsaelm.1c00724 ↗
57. 10.1016/j.snb.2024.13603410.1016/j.snb.2024.136034 ↗
58. 10.1088/0957‐4484/24/38/38200110.1088/0957‐4484/24/38/382001 ↗
59. 10.1038/s41467‐023‐41041‐y10.1038/s41467‐023‐41041‐y ↗
60. 10.1002/adma.20210103610.1002/adma.202101036 ↗