Stretchable artificial vision sensor with retinomorphic transistorreservoir computing  

作　　者：Tongrui Sun Xu Liu Yutong Xu Xinglei Zhao Pu Guo Junyao Zhang Ziyi Guo Yue Wu Shilei Dai Jia Huang 

机构地区：[1]School of Materials Science and Engineering,Tongji University,Shanghai 201804,China [2]State Key Laboratory of Petroleum Pollution Control,Beijing,CNPC Research Institute of Safety and Environmental Technology,Beijing 102206,China

出　　处：《Nano Research》2025年第3期486-493,共8页纳米研究(英文版)

基　　金：supported by the the Innovation Program of Shanghai Municipal Education Commission(No.2021-01-07-00-07-E00096);the National Natural Science Foundation of China(Nos.62074111 and 62374115);the National Key Research and Development Program of China(No.2022YFB3203502).

摘　　要：Artificial visual sensors(AVSs)with bio-inspired sensing and neuromorphic signal processing are essential for next-generation intelligent systems.Conventional optoelectronic devices employed in AVSs operate discretely in terms of sensing,processing,and memorization,and not ideal for applications necessitating shape deformation to achieve wide fields-of-view and deep depths-of-field.Here,we present stretchable artificial visual sensors(S-AVS)capable of concurrently sensing and processing optical signals while adapting to shape deformations.Specifically,these S-AVSs use a stretchable transistor structure with a meticulously engineered photosensitive semiconductor layer,comprising an organic semiconductor,thermoplastic elastomer,and cesium lead bromide quantum dots(CsPbBr3 QDs).They exhibit synaptic behaviors such as excitatory postsynaptic current(EPSC)and paired-pulse facilitation(PPF)under optical signals,maintaining functionality under 30%strain and repeated stretching.The nonlinear response and fading memory effect support in-sensor reservoir computing,achieving image recognition accuracies of 97.46%and 97.1%at 0%and 30%strain,respectively.

关 键 词：stretchable electronics artificial vision sensors(AVSs) retinomorphic transistors reservoir computing neuromorphic computing 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]