Synaptic plasticity divided into long-term and short-term categories is regarded as the origin of memory and learning, which also inspires the construction of neuromorphic systems. However, it is difficult to mimic the two behaviors monolithically, which is due to the lack of time-tailoring approaches for a certain synaptic device. In this Letter, indium-gallium-zinc-oxide (IGZO) nanofiber-based photoelectric transistors are proposed for realizing tunable photoelectric synaptic plasticity by the indium composition ratio. Notably, short-term plasticity to long-term plasticity transition can be realized by increasing the ratio of indium in the IGZO channel layer. The spatiotemporal dynamic logic and low energy consumption (<100 fJ/spike) are obtained in devices with low indium ratio. Moreover, the symmetric spike-timing-dependent plasticity is achieved by exploiting customized light and electric pulse schemes. Photoelectric long-term plasticity, multi-level characteristics, and high recognition accuracy (93.5%) are emulated in devices with high indium ratio. Our results indicate that such a composition ratio modulated method could enrich the applications of IGZO nanofiber neuromorphic transistors toward the photoelectric neuromorphic systems.
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26 September 2022
Research Article|
September 26 2022
IGZO nanofiber photoelectric neuromorphic transistors with indium ratio tuned synaptic plasticity
Yixin Zhu;
Yixin Zhu
(Investigation, Methodology, Writing – original draft)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Baocheng Peng;
Baocheng Peng
(Data curation, Validation)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Li Zhu;
Li Zhu
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Chunsheng Chen;
Chunsheng Chen
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Xiangjing Wang;
Xiangjing Wang
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Huiwu Mao;
Huiwu Mao
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Ying Zhu;
Ying Zhu
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Chuanyu Fu;
Chuanyu Fu
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Shuo Ke;
Shuo Ke
(Data curation, Formal analysis)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Changjin Wan;
Changjin Wan
a)
(Conceptualization, Project administration, Supervision, Writing – original draft, Writing – review & editing)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Qing Wan
Qing Wan
a)
(Conceptualization, Project administration, Supervision, Writing – review & editing)
1
School of Electronic Science and Engineering, Nanjing University
, Nanjing 210093, China
2
School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University
, Nanjing 210023, People's Republic of China
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Appl. Phys. Lett. 121, 133502 (2022)
Article history
Received:
July 14 2022
Accepted:
September 09 2022
Citation
Yixin Zhu, Baocheng Peng, Li Zhu, Chunsheng Chen, Xiangjing Wang, Huiwu Mao, Ying Zhu, Chuanyu Fu, Shuo Ke, Changjin Wan, Qing Wan; IGZO nanofiber photoelectric neuromorphic transistors with indium ratio tuned synaptic plasticity. Appl. Phys. Lett. 26 September 2022; 121 (13): 133502. https://doi.org/10.1063/5.0109772
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