神经形态工程学
记忆电阻器
异质结
材料科学
光电子学
计算机科学
纳米技术
计算机体系结构
电子工程
人工神经网络
人工智能
工程类
作者
Jiahui Zheng,Yiming Du,Yongjun Dong,Xuanyu Shan,Ye Tao,Ya Lin,Xiaoning Zhao,Zhongqiang Wang,Zhongqiang Wang,Yichun Liu
摘要
Emerging optoelectronic memristors are promising candidates to develop neuromorphic computing, owing to the combined advantages of photonics and electronics. However, the reversible modulation on device conductance usually requires complicated operations involving hybrid optical/electrical signals. Herein, we design a fully light-modulated memristor based on ZnO/MoOx heterojunction, which exhibits potentiation and depression behaviors under the irradiation of ultraviolet and visible light, respectively. Several basic synaptic functions have been emulated by utilizing optical signals, including short-term/long-term plasticity and spike-number-dependent plasticity. Based on the all-optical modulation characteristics, low-level image pre-processing (including contrast enhancement and noise reduction) is demonstrated. Furthermore, logic operations (“AND,” “NOTq,” and “NIMP”) can be performed by combining various optical signals in the same device. The memristive switching mechanism under optical stimulus can be attributed to barrier change at the heterojunction interface. This work proposes a fully light-modulated memristor based on ZnO/MoOx heterojunction that may promote the development of neuromorphic computing with high efficiency.
科研通智能强力驱动
Strongly Powered by AbleSci AI