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张晓宏教授与揭建胜教授合作在Adv. Mater.上发表论文
发布时间:2022-05-31 点击:10

题目:

A Fully Solution-Printed Photosynaptic Transistor Array with Ultralow Energy Consumption for Artificial-Vision Neural Networks

作者:

Jialin Shi1, Jiansheng Jie1,2,*, Wei Deng1, Gan Luo1, Xiaochen Fang1, Yanling Xiao1, Yujian Zhang1, Xiujuan Zhang1Xiaohong Zhang1,*

单位:

1Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials, Suzhou, Jiangsu 215123, P. R. China.

2Macao Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa, Macau SAR 999078, P. R. China

摘要:

Photosynaptic organic field-effect transistors (OFETs) represent a viable pathway to develop bionic optoelectronics. However, the high operating voltage and current of traditional photosynaptic OFETs lead to huge energy consumption greater than that of the real biological synapses, hindering their further development in new-generation visual prosthetics and artificial perception systems. Here, a fully solution-printed photosynaptic OFET (FSP-OFET) with substantial energy consumption reduction is reported, where a source Schottky barrier is introduced to regulate charge-carrier injection, and which operates with a fundamentally different mechanism from traditional devices. The FSP-OFET not only significantly lowers the working voltage and current but also provides extraordinary neuromorphic light-perception capabilities. Consequently, the FSP-OFET successfully emulates visual nervous responses to external light stimuli with ultralow energy consumption of 0.07–34 fJ per spike in short-term plasticity and 0.41–19.87 fJ per spike in longterm plasticity, both approaching the energy efficiency of biological synapses (1–100 fJ). Moreover, an artificial optic-neural network made from an 8 × 8 FSP-OFET array on a flexible substrate shows excellent image recognition and reinforcement abilities at a low energy cost. The designed FSP-OFET offers an opportunity to realize photonic neuromorphic functionality with extremely low energy consumption dissipation.

影响因子:

30.849

分区情况:

一区

链接:

https://onlinelibrary.wiley.com/doi/10.1002/adma.202200380


责任编辑:郭佳



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