Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing

Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing

As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size. However, low power consumption and high reliability are still challenges for WSe2 QDs-...

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Bibliographic Details
Main Authors:	Zhongrong Wang, Wei Wang, Pan Liu, Gongjie Liu, Jiahang Li, Jianhui Zhao, Zhenyu Zhou, Jingjuan Wang, Yifei Pei, Zhen Zhao, Jiaxin Li, Lei Wang, Zixuan Jian, Yichao Wang, Jianxin Guo, Xiaobing Yan
Format:	Article
Language:	English
Published:	American Association for the Advancement of Science (AAAS) 2022-01-01
Series:	Research
Online Access:	http://dx.doi.org/10.34133/2022/9754876

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