Synaptic a-Si:H/a-Ga_(2)O_(3) phototransistor inspired by the phototaxis behavior of organisms with all-optical and all-electrical stimulation modes  

作　　者：Youngbin Yoon Youngki Kim Soowon Choi Jungdae Kwon Myunghun Shin 

机构地区：[1]School of Electronics and Information Engineering,Korea Aerospace University,Goyang,10540,Republic of Korea [2]Nano Materials Division,Korea Institute of Materials Science,Changwon 51508,Republic of Korea [3]Department of Materials Science and Engineering,Pusan National University,Busan 46241,Republic of Korea

出　　处：《Nano Research》2024年第8期7631-7642,共12页纳米研究（英文版）

基　　金：supported by the Korea Research Institute for Defense Technology Planning and Advancement(KRIT)grant funded by the Defense Acquisition Program Administration(DAPA)(No.KRIT-CT-22-046);by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(Nos.2021R1A2C1010256 and RS-2024-00352660).

摘　　要：To improve neuromorphic computing performance,neuromorphic system components should mimic the behaviors of organic systems.In this study,a synaptic a-Si:H/a-Ga_(2)O_(3)phototransistor featuring all-optical and-electrical emulation is fabricated in a manner advantageous for complementary metal-oxide-semiconductor process integration.The phototransistor exhibits excitatory and inhibitory synaptic behaviors under stimulation by both optical and electrical signals.It mimics several essential synaptic functions,including excitatory postsynaptic current,inhibitory postsynaptic current,short-term memory,long-term memory,pairedpulse facilitation,and spike-timing-dependent plasticity.The optical and electrical modulation mechanisms are confirmed to arise from the a-Si:H/a-Ga_(2)O_(3) heterojunction structure and interface effects,and the device is shown to operate at low power in both optical and electrical modes.The all-optical weight modulation function is applied to the wavelength-differential behavior response of zebrafish,successfully mimicking the color perception process of the organism.Finally,to verify the translation of the optoelectrical-derived synaptic behaviors of the phototransistor into artificial neuromorphic computation,handwritten digit image recognition of the Modified National Institute of Standards and Technology dataset is performed by a convolutional neural network,with a demonstrated average learning accuracy of 98.46%.These findings verify the applicability of the synaptic a-Si:H/a-Ga_(2)O_(3) phototransistor in neuromorphic computing.

关 键 词：synaptic phototransistor artificial synapse PHOTOTAXIS neuromorphic computing interface charge state optoelectronic synaptic device 

分 类 号：TN32[电子电信—物理电子学]