journal article·2020-01-08

Artificial Synapse Emulated through Fully Aqueous Solution-Processed Low-Voltage In2O3 Thin-Film Transistor with Gd2O3 Solid Electrolyte

Youhang Zhou, Jun Li, Yaohua Yang, Qi Chen, Jianhua Zhang

Publisher page

Abstract

Brain-like neuromorphic computing system provides an alternative approach for the future computer for its characteristics of high-efficiency, power-efficient, self-learning, and parallel computing. Therefore, the imitation of synapse behavior based on microelectronics is particularly important. Recently, the synaptic transistors have received widespread attention. Among them, solid oxide-based synaptic transistors are more compatible with the large-scale fabrication than the liquid and organic-based transistors. So the development of oxide synaptic transistor is required. Here, a novel aqueous solution-processed Gd2O3 is suggested to be the solid electrolyte for synaptic transistors. The microstructure and the dielectric properties of Gd2O3 film are investigated, which show the potential for the simulation of synaptic transmission. Then, the fully aqueous solution-processed In2O3/Gd2O3 thin-film transistor (TFT) is fabricated. The device exhibits an acceptable electrical performance with a small threshold voltage of 1.24 V, and a small subthreshold swing of 0.12 V/decade. The artificial synapse behavior is stimulated and the short-term plasticity of In2O3/Gd2O3 TFT is studied. The dependence of its excitatory postsynaptic current on presynaptic pulse magnitude, width, and frequency is verified. Besides, the synapse behavior of devices under continuous illumination stresses is investigated. The lights with different photon energy have different effects on the synaptic transmission, which is related to the ionization of oxygen vacancies. Our results demonstrate that fully aqueous solution-processed In2O3 TFT with Gd2O3 solid electrolyte is a candidate for the synaptic transistor.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Thin-Film Transistor Technologies · CCD and CMOS Imaging Sensors

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

Affiliations

School of Material Science and Engineering, Shanghai University, Jiading, Shanghai 201800, People’s Republic of China

Key Laboratory of Advanced Display and System Applications, Ministry of Education, Shanghai University, Shanghai 200072, People’s Republic of China

Funding

Ministry of Science and Technology of the People's Republic of China · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China

References (50)

Show source-provided references
1. 10.1016/j.neucom.2010.03.02110.1016/j.neucom.2010.03.021 ↗
2. 10.1002/admt.20180058910.1002/admt.201800589 ↗
3. 10.1088/1361-6528/aae47010.1088/1361-6528/aae470 ↗
4. 10.1002/adma.20180235310.1002/adma.201802353 ↗
5. 10.1002/smll.20190069510.1002/smll.201900695 ↗
6. 10.1039/C8TC00530C10.1039/C8TC00530C ↗
7. 10.1109/LED.2017.276882210.1109/LED.2017.2768822 ↗
8. 10.1002/adfm.20090133510.1002/adfm.200901335 ↗
9. 10.1002/adma.20160431010.1002/adma.201604310 ↗
10. 10.1007/s00339-017-1218-510.1007/s00339-017-1218-5 ↗
11. 10.1088/1361-6463/aacd9910.1088/1361-6463/aacd99 ↗
12. 10.1002/adfm.20180085410.1002/adfm.201800854 ↗
13. 10.1002/mame.20170046810.1002/mame.201700468 ↗
14. 10.1002/adma.20180581310.1002/adma.201805813 ↗
15. 10.1016/j.orgel.2016.03.04010.1016/j.orgel.2016.03.040 ↗
16. 10.1088/1361-6528/aae8d210.1088/1361-6528/aae8d2 ↗
17. 10.1002/adma.20180154810.1002/adma.201801548 ↗
18. 10.1039/c3tc30137k10.1039/c3tc30137k ↗
19. 10.1039/c3nr02987e10.1039/c3nr02987e ↗
20. 10.1109/TED.2013.229137710.1109/TED.2013.2291377 ↗
21. 10.1002/aelm.20180010010.1002/aelm.201800100 ↗
22. 10.1016/j.tsf.2013.03.02310.1016/j.tsf.2013.03.023 ↗
23. 10.1016/j.matchemphys.2012.11.01510.1016/j.matchemphys.2012.11.015 ↗
24. 10.1063/1.156902810.1063/1.1569028 ↗
25. 10.1016/j.orgel.2015.05.04610.1016/j.orgel.2015.05.046 ↗
26. 10.1021/acsami.5b0299810.1021/acsami.5b02998 ↗
27. 10.1109/TED.2016.260192510.1109/TED.2016.2601925 ↗
28. 10.1109/TNANO.2016.262112810.1109/TNANO.2016.2621128 ↗
29. 10.1109/TED.2018.279730010.1109/TED.2018.2797300 ↗
30. 10.1109/LED.2015.250129010.1109/LED.2015.2501290 ↗
31. 10.1016/j.ceramint.2017.02.00710.1016/j.ceramint.2017.02.007 ↗
32. 10.1109/TDMR.2016.261733610.1109/TDMR.2016.2617336 ↗
33. 10.1002/adma.20090432710.1002/adma.200904327 ↗
34. 10.1016/j.orgel.2007.01.01010.1016/j.orgel.2007.01.010 ↗
35. 10.1021/acsami.8b0896710.1021/acsami.8b08967 ↗
36. 10.1109/TED.2005.84474010.1109/TED.2005.844740 ↗
37. 10.1021/ja910315510.1021/ja9103155 ↗
38. 10.1063/1.179485710.1063/1.1794857 ↗
39. 10.1109/TED.2017.278172510.1109/TED.2017.2781725 ↗
40. 10.1021/acsami.8b0332210.1021/acsami.8b03322 ↗
41. 10.1039/C8TC06596A10.1039/C8TC06596A ↗
42. 10.1021/acsami.6b1374610.1021/acsami.6b13746 ↗
43. 10.1039/C6TC03731C10.1039/C6TC03731C ↗
44. 10.1021/acsami.8b0327410.1021/acsami.8b03274 ↗
45. 10.1016/j.mee.2011.03.06910.1016/j.mee.2011.03.069 ↗
46. 10.1063/1.472947810.1063/1.4729478 ↗
47. 10.1063/1.489057910.1063/1.4890579 ↗
48. 10.1109/TED.2019.289347910.1109/TED.2019.2893479 ↗
49. 10.1063/1.487045710.1063/1.4870457 ↗
50. 10.1063/1.480176210.1063/1.4801762 ↗