Advanced Electronic Materials (Jun 2023)

Recent Progress in Multiterminal Memristors for Neuromorphic Applications

  • Yan‐Bing Leng,
  • Yu‐Qi Zhang,
  • Ziyu Lv,
  • Junjie Wang,
  • Tao Xie,
  • Shirui Zhu,
  • Jingrun Qin,
  • Runze Xu,
  • Ye Zhou,
  • Su‐Ting Han

DOI
https://doi.org/10.1002/aelm.202300108
Journal volume & issue
Vol. 9, no. 6
pp. n/a – n/a

Abstract

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Abstract The essential step for developing neuromorphic systems is to construct more biorealistic elementary devices with rich spatiotemporal dynamics to exhibit highly separable responses in dynamic environmental circumstances. Unlike transistor‐based devices and circuits with zeroth‐order complexity, memristors intrinsically express some simple biomimetic functions. However, with only two‐terminal structure, precise control of operation principles to ensure large dynamic space, improved linearity and symmetry, multimodal operation as well as high‐order complexity is hard to achieve in a traditional memristor owing to its limited degree of freedom. Therefore, multiterminal memristors including both concrete terminals and virtual terminals (light, pressure, gas, ferroelectric polarity, etc.) have been proposed to obtain precise modulation of memristive characteristics. This review focuses on the recent progress in multiterminal memristors and their neuromorphic applications. The operation principle, application of multiterminal memristor on neuromorphic computing in different scenarios, existing challenges and future prospects are discussed.

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