Electrolyte-gated synaptic transistors are promising for artificial neural morphological devices. However, few literatures have been reported regarding the manufacturing of electrolyte-gated synaptic transistors with low cost and biocompatible components. Here, the fully transparent synaptic transistors based on water-induced In2O3 thin films have been integrated by sol–gel method at low temperature, and lactose dissolved in citric acid solution is used as the gate electrolyte. The migration of the ions at the interface plays a crucial role in the potentiation and depression of the synaptic weight. In this work, the biological synaptic functions, including excitatory postsynaptic current, paired-pulse facilitation, high-pass filtering characteristics, short-term memory, and long-term memory, are mimicked. Meanwhile, based on the potentiation/depression behaviors of the synaptic transistor, a three-layer artificial neural network is applied for pattern recognition, and the recognition accuracy is as high as 94.6%. This study offers a possibility to realize fully transparent synaptic devices with biocompatible components at low temperature.
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31 October 2022
Research Article|
November 03 2022
Transparent and biocompatible In2O3 artificial synapses with lactose–citric acid electrolyte for neuromorphic computing
Special Collection:
Metal Oxide Thin-Film Electronics
Haiyang Qiu;
Haiyang Qiu
(Data curation, Formal analysis, Software, Writing – original draft)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Dandan Hao;
Dandan Hao
(Writing – original draft)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Hui Li;
Hui Li
(Software)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Yepeng Shi;
Yepeng Shi
(Investigation)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Yao Dong;
Yao Dong
(Software)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Guoxia Liu;
Guoxia Liu
a)
(Writing – review & editing)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Fukai Shan
Fukai Shan
a)
(Writing – review & editing)
1
College of Physics, Qingdao University
, Qingdao 266071, China
2
College of Microtechnology & Nanotechnology, Qingdao University
, Qingdao 266071, China
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Note: This paper is part of the APL Special Collection on Metal Oxide Thin-Film Electronics.
Appl. Phys. Lett. 121, 183301 (2022)
Article history
Received:
September 04 2022
Accepted:
October 14 2022
Citation
Haiyang Qiu, Dandan Hao, Hui Li, Yepeng Shi, Yao Dong, Guoxia Liu, Fukai Shan; Transparent and biocompatible In2O3 artificial synapses with lactose–citric acid electrolyte for neuromorphic computing. Appl. Phys. Lett. 31 October 2022; 121 (18): 183301. https://doi.org/10.1063/5.0124219
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