神经形态工程学
光子学
计算机科学
能源消耗
响应度
人工神经网络
功率消耗
突触
高效能源利用
人工智能
光学计算
突触重量
光电子学
电子工程
材料科学
功率(物理)
电气工程
工程类
电信
物理
神经科学
探测器
量子力学
生物
作者
Chenguang Zhu,Huawei Liu,Wenqiang Wang,Xiang Li,Jie Jiang,Shuai Qin,Xin Yang,Tian Zhang,Biyuan Zheng,Hui Wang,Dong Li,Anlian Pan
标识
DOI:10.1038/s41377-022-01031-z
摘要
Brain-inspired neuromorphic computing, featured by parallel computing, is considered as one of the most energy-efficient and time-saving architectures for massive data computing. However, photonic synapse, one of the key components, is still suffering high power consumption, potentially limiting its applications in artificial neural system. In this study, we present a BP/CdS heterostructure-based artificial photonic synapse with ultra-low power consumption. The device shows remarkable negative light response with maximum responsivity up to 4.1 × 10
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