材料科学
光电探测器
神经形态工程学
响应度
光电子学
毫秒
激子
突触
模式(计算机接口)
可塑性
人工神经网络
晶体管
光电导性
异质结
探测器
作者
Chengdong Yang,Yue Wu,Linlin Su,Lihua Xu,Hongxu Li
标识
DOI:10.1016/j.jsamd.2026.101098
摘要
We propose a thickness-modulated strategy for implementing two operations (optoelectronic synapse and photodetector) simultaneously in the same device structure. For the MoS 2 thickness of <56 nm, the device works as an optoelectronic synapse with some neuromorphic functionalities such as spike-interval-dependent plasticity, spike-rate-dependent plasticity and short-to-long-term plasticity. By combining synaptic plasticity with an artificial neural network, it achieves precise image recognition and classification with an accuracy >95%. As the thickness increases, excitons and trapping sites are separated by an increasing gap that facilitates a mode transition from synapse to detector. For 368-nm thickness, devices exhibit a photodetector mode with the response speed at millisecond level and responsivity of 163 mA/W.
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