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Title: Carbon nanotube optoelectronic synapse transistor arrays with ultralow-power-consumption for stretchable neuromorphic vision systems

Abstract: High-performance stretchable optoelectronic synaptic transistor arrays are key units for constructing and mimicking simulating neuromorphic vision systems. In this work, we firstly report the ultralow-power-consumption and low-operation-voltage stretchable all-carbon optoelectronic synaptic thin film transistors (TFTs) using sorted semiconducting single-walled carbon nanotubes (sc-SWCNTs) modified with CdSe/ZnS quantum dots as active layers on ionic liquid based composite elastomer substrates. The resulting stretchable TFT devices show the enhancement-mode characteristics with excellent electrical properties (such as the record on/off ratios up to 105, negligible hysteresis and small subthreshold swing), excellent mechanical tensile properties (such as the only 12.4% and 6.4% degradations of the carrier mobility after 20% vertical and horizontal strain stretching) and optoelectronic synaptic plasticity (for the recognition of Morse codes) with the ultra-low power consumptions (15.38 aJ) at the operating voltage from -1 V to 0.2 V. At the same time, we firstly use the designed nonvolatile of conductance of our stretchable SWCNT optoelectronic synapse thin film transistors (SSOSTFTs) stimulated by UV light and the bending angle to simulate stretchable neuromorphic vision systems (including the functions of the crystalline lens and optic cone cells as bionic eyes) for detecting the atmospheric environment with the record accuracy of 95.1% as bionic eye. 

Tanghao Xie^#, Qinan Wang^#, Min Li, Yuxiao Fang, Gang Li, Shuangshuang Shao, Wenbo Yu, Suyun Wang, Weibing Gu, Chun Zhao*, Minghua Tang*, and Jianwen Zhao*, Carbon nanotube optoelectronic synapse transistor arrays with ultralow-power-consumption for stretchable neuromorphic vision systems, Advanced Functional Materials, 2023, doi/10.1002/adfm.202303970.