Superlow Power Consumption Artificial Synapses Based on WSe 2 Quantum Dots Memristor for Neuromorphic Computing | Zendy

Zhongrong Wang | Zendy; Wei Wang | Zendy; Pan Liu | Zendy; Gongjie Liu | Zendy; Jiahang Li | Zendy; Jianhui Zhao | Zendy; Zhenyu Zhou | Zendy; Jingjuan Wang | Zendy; Yifei Pei | Zendy; Zhen Zhao | Zendy; Jiaxin Li | Zendy; Lei Wang | Zendy; Zixuan Jian | Zendy; Yichao Wang | Zendy; Guo Jianxin | Zendy; Xiaobing Yan | Zendy

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Superlow Power Consumption Artificial Synapses Based on WSe ₂ Quantum Dots Memristor for Neuromorphic Computing

Author(s) -

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,

Guo Jianxin,

Xiaobing Yan

Publication year - 2022

Publication title -

research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.8

H-Index - 16

ISSN - 2639-5274

DOI - 10.34133/2022/9754876

Subject(s) - memristor , neuromorphic engineering , materials science , optoelectronics , quantum dot , resistive random access memory , neural facilitation , voltage , computer science , electronic engineering , artificial neural network , excitatory postsynaptic potential , electrical engineering , artificial intelligence , neuroscience , engineering , psychology , inhibitory postsynaptic potential

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