双极扩散
铁电性
晶体管
类型(生物学)
材料科学
场效应晶体管
光电子学
人工神经网络
纳米技术
电气工程
物理
计算机科学
电压
工程类
量子力学
人工智能
电子
生态学
生物
电介质
作者
Jiali Huo,Lingqi Li,Haofei Zheng,Jing Wang,Thaw Tint Te Tun,Heng Xiang,Kah‐Wee Ang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-10-03
标识
DOI:10.1021/acsnano.4c11081
摘要
Spiking neural networks (SNNs) are attracting increasing interests for their ability to emulate biological processes, offering energy-efficient computation and event-driven processing. Currently, no devices are known to combine both neuronal and synaptic functions. This study presents an experimental demonstration of an ambipolar WSe
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