Mixed-Halide Perovskite Film-Based Neuromorphic Phototransistors for Mimicking Experience-History-Dependent Sensory Adaptation
Source abstract
Abstract
Sensory adaptation is an essential function for humans to live on the earth. Herein, a hybrid synaptic phototransistor based on the mixed-halide perovskite/organic semiconductor film is reported. This hybrid phototransistor achieves photosensitive performance including a high photoresponsivity over 4 × 103 A/W and an excellent specific detectivity of 2.8 × 1016 Jones. Due to the photoinduced halide-ion segregation of the mixed-halide perovskites and their slow recovery properties, the experience-history-dependent sensory adaptation behavior can be mimicked. Moreover, the light pulse width, intensity, light wavelength, and gate bias can be used to regulate the adaptation processes to improve its adaptability and perceptibility in different environments. The CsPbBrxI3–x/organic semiconductor hybrid films produced by spin coating are beneficial to large-scale fabrication. This study fabricates a novel solution-processable light-stimulated synapse based on inorganic perovskites for mimicking the human sensory adaptation that makes it possible to approach artificial neural sensory systems.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Advanced Memory and Neural Computing · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National & Local United Engineering Laboratory of Flat Panel Display Technology, Fuzhou University, Fuzhou 350108, P. R. China
Mindu Innovation Laboratory, Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou 350108, P. R. China
Funding
Ministry of Science and Technology of the People's Republic of China · Natural Science Foundation of Fujian Province · National Natural Science Foundation of China
References (57)
Show source-provided references
1. 10.1038/nmat305410.1038/nmat3054 ↗
2. 10.1016/j.mattod.2017.12.00110.1016/j.mattod.2017.12.001 ↗
3. 10.1021/acsami.6b0886610.1021/acsami.6b08866 ↗
4. 10.1002/adfm.20190633510.1002/adfm.201906335 ↗
5. 10.1093/chemse/25.4.47310.1093/chemse/25.4.473 ↗
6. 10.1007/s00441-020-03400-910.1007/s00441-020-03400-9 ↗
7. 10.1016/j.neuron.2020.08.02610.1016/j.neuron.2020.08.026 ↗
8. 10.1016/0022-5193(81)90358-110.1016/0022-5193(81)90358-1 ↗
9. 10.1016/j.cell.2009.09.01510.1016/j.cell.2009.09.015 ↗
10. Shipley M. T. · 2003 · 579
11. 10.1038/nature0301010.1038/nature03010 ↗
12. 10.1038/4343210.1038/43432 ↗
13. 10.1016/S0896-6273(02)00659-110.1016/S0896-6273(02)00659-1 ↗
14. 10.1038/ncomms367610.1038/ncomms3676 ↗
15. 10.1109/LED.2016.251708010.1109/LED.2016.2517080 ↗
16. 10.1002/adma.20120368010.1002/adma.201203680 ↗
17. 10.1002/aisy.20190001210.1002/aisy.201900012 ↗
18. 10.1002/smll.20190533210.1002/smll.201905332 ↗
19. 10.1088/1361-6463/aacd9910.1088/1361-6463/aacd99 ↗
20. 10.1088/0957-4484/24/38/38200110.1088/0957-4484/24/38/382001 ↗
21. 10.1063/1.497706910.1063/1.4977069 ↗
22. 10.1002/adma.20170095110.1002/adma.201700951 ↗
23. 10.1063/1.495504210.1063/1.4955042 ↗
24. 10.1021/acsami.8b0503610.1021/acsami.8b05036 ↗
25. 10.1002/advs.20170044210.1002/advs.201700442 ↗
26. 10.1002/adom.20140047210.1002/adom.201400472 ↗
27. 10.1088/2053-1583/aa805e10.1088/2053-1583/aa805e ↗
28. 10.1002/aisy.20200009910.1002/aisy.202000099 ↗
29. 10.1016/j.nanoen.2019.05.06410.1016/j.nanoen.2019.05.064 ↗
30. 10.1002/aelm.20150035910.1002/aelm.201500359 ↗
31. 10.1002/smm2.102210.1002/smm2.1022 ↗
32. 10.1002/adma.20150512610.1002/adma.201505126 ↗
33. 10.1039/C9TC06565B10.1039/C9TC06565B ↗
34. 10.1021/acsami.0c1085110.1021/acsami.0c10851 ↗
35. 10.1021/acsaelm.0c0018010.1021/acsaelm.0c00180 ↗
36. 10.1002/smll.20190001010.1002/smll.201900010 ↗
37. 10.1002/smll.20200521710.1002/smll.202005217 ↗
38. 10.1088/1361-6641/aba41a10.1088/1361-6641/aba41a ↗
39. 10.1039/C9QM00061E10.1039/C9QM00061E ↗
40. 10.1002/adfm.20200541310.1002/adfm.202005413 ↗
41. 10.1021/acsnano.0c0168910.1021/acsnano.0c01689 ↗
42. 10.1038/s41570-017-009510.1038/s41570-017-0095 ↗
43. 10.1038/s41560-018-0190-410.1038/s41560-018-0190-4 ↗
44. 10.1038/ncomms849710.1038/ncomms8497 ↗
45. 10.1039/C5EE01265A10.1039/C5EE01265A ↗
46. 10.1039/C4SC03141E10.1039/C4SC03141E ↗
47. 10.1021/acs.nanolett.5b0518110.1021/acs.nanolett.5b05181 ↗
48. 10.1021/jacs.5b0361510.1021/jacs.5b03615 ↗
49. 10.1126/sciadv.aay522510.1126/sciadv.aay5225 ↗
50. 10.1002/adma.20180288310.1002/adma.201802883 ↗
51. 10.1002/aelm.20200053510.1002/aelm.202000535 ↗
52. 10.1002/adfm.20200825910.1002/adfm.202008259 ↗
53. 10.1021/acsenergylett.6b0015810.1021/acsenergylett.6b00158 ↗
54. 10.1038/nnano.2014.21510.1038/nnano.2014.215 ↗
55. 10.1038/ncomms500710.1038/ncomms5007 ↗
56. 10.1021/acs.nanolett.5b0038010.1021/acs.nanolett.5b00380 ↗
57. 10.1016/j.nanoen.2020.10479010.1016/j.nanoen.2020.104790 ↗