journal article·2024-12

Flexible Printed Ultraviolet‐to‐Near‐Infrared Broadband Optoelectronic Carbon Nanotube Synaptic Transistors for Fast and Energy‐Efficient Neuromorphic Vision Systems

Zebin Li, Min Li, Tianxiang Zhu, Benxiang Li, Zebin Wang, Shuangshuang Shao, Zhenyan Deng, Xinluo Zhao, Cheng Liu, Jianwen Zhao

Small Methods· Volume 8· Issue 12
Publisher page

Abstract

Abstract To simulate biological visual systems and surpass their functions and performance, it is essential to develop high‐performance optoelectronic neuromorphic electronics with broadband response, low power consumption, and fast response speed. Among these, optoelectronic synaptic transistors have emerged as promising candidates for constructing neuromorphic visual systems. In this work, flexible printed broadband (from 275 to 1050 nm) optoelectronic carbon nanotube synaptic transistors with good stability, high response speed (3.14 ms), and low‐power consumption (as low as 0.1 fJ per event with the 1050 nm pulse illumination) using PbS quantum dots (QDs) modified semiconducting single‐walled carbon nanotubes (sc‐SWCNTs) as active layers are developed. In response to optical pulses within the ultraviolet to near‐infrared wavelength range, the optoelectronic neuromorphic devices exhibit excitatory postsynaptic current, paired‐pulse facilitation, and a transition from short‐term plasticity to long‐term plasticity, and other optical synaptic behaviors. Furthermore, a simplified neural morphology visual array is developed to simulate integrated functions such as image perception, memory, and preprocessing. More importantly, it can also emulate other complicated bionic functions, such as the infrared perception of salmon eyes and the warning behavior of reindeer in different environments. This work holds immense significance in advancing the development of artificial neural visual systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Photoreceptor and optogenetics research

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

Affiliations

School of Microelectronics Shanghai University Shanghai 200444 P. R. China

Key Laboratory of Semiconductor Display Materials and Chips Printable Electronics Research Center Division of Nanodevices and Related Nanomaterials Suzhou Institute of Nano‐Tech and Nano‐Bionics Chinese Academy of Sciences No. 398 Ruoshui Road, SEID, Suzhou Industrial Park Suzhou Jiangsu Province 215123 P. R. China

School of Nano Technology and Nano Bionics University of Science and Technology of China Hefei Anhui Province 230026 P. R. China

School of Sciences Changzhou Institute of Technology Changzhou 213032 P. R. China

Department of Physics Shanghai University Shanghai 200444 P. R. China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · China Postdoctoral Science Foundation · Suzhou Institute of Nanotechnology, Chinese Academy of Sciences · Chinese Academy of Sciences

References (95)

Show source-provided references
1. 10.1016/j.nanoen.2023.10869810.1016/j.nanoen.2023.108698 ↗
2. 10.1002/adfm.20230397010.1002/adfm.202303970 ↗
3. 10.1002/adfm.20230288510.1002/adfm.202302885 ↗
4. Zhou F. · Nat. Nanotech. · 2019 · 14
5. 10.1016/j.nanoen.2020.10524610.1016/j.nanoen.2020.105246 ↗
6. 10.3390/ma1522824710.3390/ma15228247 ↗
7. 10.1038/s41467-021-22047-w10.1038/s41467-021-22047-w ↗
8. 10.1002/advs.20210074210.1002/advs.202100742 ↗
9. 10.1002/advs.20220212310.1002/advs.202202123 ↗
10. 10.1088/2053-1583/aa805e10.1088/2053-1583/aa805e ↗
11. Dai S. · ACS Appl. Mater. Interfaces · 2018 · 10 · 25
12. 10.1002/adfm.20190253810.1002/adfm.201902538 ↗
13. 10.1016/j.nanoen.2019.10385910.1016/j.nanoen.2019.103859 ↗
14. 10.1002/adfm.20190237410.1002/adfm.201902374 ↗
15. Zhang J. · InfoMat. · 2021 · 3
16. 10.1088/1361-6528/aadf6310.1088/1361-6528/aadf63 ↗
17. 10.1002/adma.20180022010.1002/adma.201800220 ↗
18. Yin L. · Nano Lett. · 2020 · 20
19. Guo Y. · Org. Elect. · 2019 · 71 · 3135
20. Huang F. · Nano Res. · 2023 · 16
21. 10.1002/smll.20190096610.1002/smll.201900966 ↗
22. 10.1016/j.nanoen.2021.10581510.1016/j.nanoen.2021.105815 ↗
23. 10.1002/smll.20200004110.1002/smll.202000041 ↗
24. 10.1002/smll.20180028810.1002/smll.201800288 ↗
25. Burgt Y. · Nat. Mater. · 2017 · 16 · 4858
26. 10.3390/coatings1202020410.3390/coatings12020204 ↗
27. 10.1016/j.orgel.2019.05.01510.1016/j.orgel.2019.05.015 ↗
28. Cheng W. · Elect. Dev. Soc. · 2019 · 7 · 3845
29. Huang J. · Sci. China Mater. · 2023 · 66
30. 10.1002/aelm.20200102510.1002/aelm.202001025 ↗
31. Ha J. · ACS Appl. Mater. Interfaces · 2023 · 15
32. 10.1002/aelm.20210033610.1002/aelm.202100336 ↗
33. Li N. · Nano Res. · 2022 · 15
34. Tang L. · ACS Nano · 2022 · 16
35. 10.1002/adma.20170400210.1002/adma.201704002 ↗
36. 10.1002/advs.20210459910.1002/advs.202104599 ↗
37. 10.1002/aelm.20230001810.1002/aelm.202300018 ↗
38. 10.1038/s41467-023-37581-y10.1038/s41467-023-37581-y ↗
39. 10.1002/adma.20190689910.1002/adma.201906899 ↗
40. Hong S. · ACS Nano · 2020 · 14
41. Wan H. · ACS Nano · 2020 · 14
42. 10.1002/adfm.20230572410.1002/adfm.202305724 ↗
43. 10.1016/j.cej.2021.13113710.1016/j.cej.2021.131137 ↗
44. 10.1038/ncomms1564910.1038/ncomms15649 ↗
45. Li X. · Carbon · 2022 · 191
46. 10.1021/acsnano.0c0661910.1021/acsnano.0c06619 ↗
47. 10.1002/aelm.20190003410.1002/aelm.201900034 ↗
48. Zhou C. · Carbon · 2016 · 108
49. 10.1016/j.cplett.2010.12.03410.1016/j.cplett.2010.12.034 ↗
50. 10.1016/j.carbon.2023.11845310.1016/j.carbon.2023.118453 ↗
51. 10.1039/C8NR07133K10.1039/C8NR07133K ↗
52. 10.1038/s41377-023-01072-y10.1038/s41377-023-01072-y ↗
53. 10.1002/advs.20190348010.1002/advs.201903480 ↗
54. Zhang J. · ACS Appl. Mater. Interfaces · 2019 · 11
55. 10.3390/nano1313199610.3390/nano13131996 ↗
56. 10.1126/sciadv.aay522510.1126/sciadv.aay5225 ↗
57. 10.1088/0957-4484/23/25/25520310.1088/0957-4484/23/25/255203 ↗
58. 10.1002/adom.20230206210.1002/adom.202302062 ↗
59. 10.1038/srep0377710.1038/srep03777 ↗
60. 10.1002/smll.20200246010.1002/smll.202002460 ↗
61. Chen Z. · J. Mater. Chem. C · 2020 · 8
62. 10.1109/JSTQE.2018.281990410.1109/JSTQE.2018.2819904 ↗
63. 10.1063/1.489868010.1063/1.4898680 ↗
64. 10.1002/adfm.20220883610.1002/adfm.202208836 ↗
65. Wang Y. · Nano Lett. · 2023 · 23
66. 10.1002/smll.20220731110.1002/smll.202207311 ↗
67. Zhou G. · Nanoscale Adv. · 2020 · 2
68. Kelly A. · Sci. · 2017 · 356 · 6973
69. 10.1002/adma.20220377210.1002/adma.202203772 ↗
70. Liu I. · J. Mater. Chem. · 2008 · 18
71. Zaiats G. · Phys. Chem. · 2015 · 229 · 321
72. Zhang T. · J. Phys. Chem. C · 2010 · 114
73. Wang C. · J. Mater. Chem. · 2011 · 21
74. 10.1002/smll.20220539510.1002/smll.202205395 ↗
75. 10.1063/5.013074210.1063/5.0130742 ↗
76. 10.1002/adma.20210336910.1002/adma.202103369 ↗
77. Luo Z. · ACS Nano · 2020 · 14
78. 10.1002/adfm.20210797310.1002/adfm.202107973 ↗
79. 10.1038/s41467-022-34230-810.1038/s41467-022-34230-8 ↗
80. Li Q. · Nano Lett. · 2022 · 22
81. 10.1007/s12274-022-4372-910.1007/s12274-022-4372-9 ↗
82. 10.1088/1742-6596/2613/1/01201510.1088/1742-6596/2613/1/012015 ↗
83. Xu K. · ACS Appl. Mater. Interfaces · 2020 · 12
84. 10.1002/adma.20080045210.1002/adma.200800452 ↗
85. 10.1038/nphoton.2015.28010.1038/nphoton.2015.280 ↗
86. Wang R. · Energy Environ. Sci. · 2016 · 9
87. 10.1063/5.009188710.1063/5.0091887 ↗
88. Li M. · Carbon · 2021 · 176
89. 10.1002/adom.20180007710.1002/adom.201800077 ↗
90. 10.1002/smll.20190011110.1002/smll.201900111 ↗
91. Cohen Y. · IEEE Electron Dev. Lett. · 1986 · 7 · 10
92. 10.1021/cr900056b10.1021/cr900056b ↗
93. 10.1109/TED.2022.322441910.1109/TED.2022.3224419 ↗
94. 10.1038/s41598-020-73705-w10.1038/s41598-020-73705-w ↗
95. 10.1002/adma.20190728810.1002/adma.201907288 ↗