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Transferable and Flexible Artificial Memristive Synapse Based on WO x Schottky Junction on Arbitrary Substrates
Author(s) -
Lin Ya,
Zeng Tao,
Xu Haiyang,
Wang Zhongqiang,
Zhao Xiaoning,
Liu Weizhen,
Ma Jiangang,
Liu Yichun
Publication year - 2018
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.201800373
Subject(s) - neuromorphic engineering , materials science , synapse , bending , nanotechnology , flexibility (engineering) , computer science , optoelectronics , artificial intelligence , artificial neural network , neuroscience , composite material , biology , statistics , mathematics
The absence of an effective approach to achieve free‐standing inorganic memristors seriously hinders the development of transferable artificial synapses. Here, a transferable WO x ‐based memristive synapse is demonstrated using a nondestructive water‐dissolution method in which the NaCl substrate is selected as the sacrificial layer due to its thermotolerance and water‐solubility. The essential synaptic learning functions are achieved to comprehensively mimic the biological synapse, such as short‐term/long‐term plasticity, paired‐pulse facilitation, and spike‐timing‐dependent plasticity. This artificial synapse can be transferred and conformed onto various unconventional substrates to manifest the flexibility, 3D conformality, and biocompatibility. There is no mechanical damage during the transfer process, and all these transferred devices present excellent synaptic emulations. The memristive behavior shows no degeneration after large‐angle bending or 100 times bending tests. This result may pave a feasible way for the realization of wearable neuromorphic computing systems in the future.