祝贺念梓和李敏的文章被Advanced Science接收！

我们与香港大学、西安电子科技大学合作的文章已正式被Advanced Science接收发表。祝贺念梓和李敏。感谢香港大学Li Lain-jong教授以及西安电子科技大学吴金建教授的大力资助和帮助。

Title: Photoprogrammed multifunctional optoelectronic synaptic transistor arrays based on photosensitive polymer-sorted semiconducting single-walled carbon nanotubes for image recognition

Nianzi Sui, Yixi Ji, Min Li, Fanyuan Zheng, Shuangshuang Shao, Jiaqi Li, Zhaoxin Liu, Jinjian Wu*, Jianwen Zhao*, Lain-Jong Li*

Abstract：The development of neuromorphic optoelectronic systems opens up the possibility of the next generation of artificial vision. In this work, we report the novel broadband (from 365 nm to 940 nm) and multilevel storage optoelectronic synaptic thin-film transistor (TFT) arrays using the photosensitive conjugated polymer (poly[(9,9-dioctylfluorenyl-2,7-diyl)-co-(bithiophene)], F8T2) sorted semiconducting single-walled carbon nanotubes (sc-SWCNTs) as channel materials. The broadband synaptic responses are inherited to absorption from both photosensitive F8T2 and sorted-sc-SWCNTs, and the excellent optoelectronic synaptic behaviors with 200 linearly increasing conductance states and long retention time >103 s are attributed to the superior charge trapping at the adjacent AlOx dielectric layer grown by atomic layer deposition. Furthermore, the synaptic TFTs can achieve IOn/IOff ratios up to 106 and optoelectronic synaptic plasticity with the low power consumption (59 aJ per single pulse), which can simulate not only basic biological synaptic functions but also optical write and electrical erase, multilevel storage and image recognition. Further, we designed a novel Spiking Neural Network algorithm based on hardware characteristics for the recognition task of Caltech 101 dataset and successfully extract multiple features of the images with higher accuracy (up to 97.92%) of the recognition task from the multi-frequency curves of the optoelectronic synaptic devices.