2022Advanced Electronic MaterialsOpen access

A Dynamical Compact Model of Diffusive and Drift Memristors for Neuromorphic Computing (Adv. Electron. Mater. 8/2022)

Ye Zhuo, Rivu Midya, Wenhao Song, Zhongrui Wang, Shiva Asapu, Mingyi Rao, Peng Lin, Hao Jiang, Qiangfei Xia, R. Stanley Williams, J. Joshua Yang

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Abstract

Neuromorphic Computing Different from memory applications where only the static ending states are used, neuromorphic computing with memristors utilizes their dynamical switching process itself, which calls for a comprehensive dynamical memristor model. Such a model shown here can reproduce the long-term memory of drift memristors and the short-term plasticity of diffusive memristors. It captures quasi-static and dynamic characteristics of these devices, demonstrating a good agreement with the experimental data. More details can be found in article number 2100696 by J. Joshua Yang and co-workers.

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Neuromorphic Computing Different from memory applications where only the static ending states are used, neuromorphic computing with memristors utilizes their dynamical switching process itself, which calls for a comprehensive dynamical memristor model. Such a model shown here can reproduce the long-term memory of drift memristors and the short-term plasticity of diffusive memristors. It captures quasi-static and dynamic characteristics of these devices, demonstrating a good agreement with the experimental data. More details can be found in article number 2100696 by J. Joshua Yang and co-workers.

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Available abstract

Neuromorphic Computing Different from memory applications where only the static ending states are used, neuromorphic computing with memristors utilizes their dynamical switching process itself, which calls for a comprehensive dynamical memristor model. Such a model shown here can reproduce the long-term memory of drift memristors and the short-term plasticity of diffusive memristors. It captures quasi-static and dynamic characteristics of these devices, demonstrating a good agreement with the experimental data. More details can be found in article number 2100696 by J. Joshua Yang and co-workers.

Key concepts: Neuromorphic engineering, Memristor, Materials science, Process (computing), Computer science, Statistical physics, Electronic engineering, Physics

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