神经形态工程学
材料科学
异质结
实现(概率)
光电子学
纳米技术
人工神经网络
计算机科学
人工智能
统计
数学
作者
Yao Deng,Shenghong Liu,Xiaoxi Ma,Shuyang Guo,Baoxing Zhai,Zihan Zhang,Manshi Li,Yimeng Yu,Wenhua Hu,Hui Yang,Yury V. Kapitonov,Junbo Han,Jinsong Wu,Yuan Li,Tianyou Zhai
标识
DOI:10.1002/adma.202309940
摘要
Abstract The optoelectronic synaptic devices based on two‐dimensional (2D) materials offer great advances for future neuromorphic visual systems with dramatically improved integration density and power efficiency. The effective charge capture and retention are considered as one vital prerequisite to realizing the synaptic memory function. However, the current 2D synaptic devices are predominantly relied on materials with artificially‐engineered defects or intricate gate‐controlled architectures to realize the charge trapping process. These approaches, unfortunately, suffer from the degradation of pristine materials, rapid device failure, and unnecessary complication of device structures. To address these challenges, an innovative gate‐free heterostructure paradigm is introduced herein. The heterostructure presents a distinctive dome‐like morphology wherein a defect‐rich Fe 7 S 8 core is enveloped snugly by a curved MoS 2 dome shell (Fe 7 S 8 @MoS 2 ), allowing the realization of effective photocarrier trapping through the intrinsic defects in the adjacent Fe 7 S 8 core. The resultant neuromorphic devices exhibit remarkable light‐tunable synaptic behaviors with memory time up to ≈800 s under single optical pulse, thus demonstrating great advances in simulating visual recognition system with significantly improved image recognition efficiency. The emergence of such heterostructures foreshadows a promising trajectory for underpinning future synaptic devices, catalyzing the realization of high‐efficiency and intricate visual processing applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI