神经形态工程学
材料科学
光子学
光学计算
计算机体系结构
计算机科学
纳米技术
光电子学
油藏计算
电子工程
人工神经网络
人工智能
工程类
循环神经网络
作者
Soirik Dan,Subham Paramanik,Amlan J. Pal
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-05-20
卷期号:18 (22): 14457-14468
被引量:5
标识
DOI:10.1021/acsnano.4c01202
摘要
In artificial synaptic devices aimed at mimicking neuromorphic computing systems, electrical or optical pulses, or both, are generally used as stimuli. In this work, we introduce chiral materials for tailoring the characteristics of photonic synaptic devices to achieve handedness-dependent neuromorphic computing and in-memory logic gates. In devices based on a pair of chiral perovskites, the use of circularly polarized light (CPL) as the optical stimuli mimicked a series of electrical and opto-synaptic functionalities in order to emulate the multifunctional complex behavior of the human brain. Upon illumination in this two-terminal device, anisotropy in current has been observed due to the out-of-plane carrier transport, originating from spin-selective carrier transport. More importantly, the logic gate achieved in devices based on optoelectronic memristors turned out to be chirality-dependent; while an
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