Memristor with BiVO4 nanoparticle as artificial synapse for neuroinspired computing
Author(s): Zhao, ML (Zhao, Mengliu); Sun, Y (Sun, Yong); Yan, L (Yan, Lei); Zhao, Z (Zhao, Zhen); Wang, LX (Wang, Linxia); Yan, XB (Yan, Xiaobing); Wang, KY (Wang, Kaiyou)
Source: APPLIED PHYSICS LETTERS Volume: 120 Issue: 9 Article Number: 093501 DOI: 10.1063/5.0079418 Published: FEB 28 2022
Abstract: A memristor is very important for the development of an artificial neuromorphic system. However, the breakthrough of the limit of a work region for memristors remains challenging. Herein, a BiVO4 nanoparticle is proposed to be a high-performance artificial synapse for a neuromorphic system. A BiVO4-based artificial synapse exhibits superior bidirectional analog switching properties. Furthermore, the fundamental neurobiological synaptic functions in the BiVO4-based artificial synapse can be achieved, such as potentiation, a depression, nonlinear transmission, spike-time-dependent plasticity, pair-pulse facilitation, and the transition from short-term to long-term potentiation. Moreover, the movement of oxygen vacancies by an electric field is responsible for resistance switching. This work provides different insights into the design of an artificial synapse based on memristors.
Accession Number: WOS:000772465600009
ISSN: 0003-6951
eISSN: 1077-3118
