Micromachines (Mar 2022)

Ion-Driven Electrochemical Random-Access Memory-Based Synaptic Devices for Neuromorphic Computing Systems: A Mini-Review

  • Heebum Kang,
  • Jongseon Seo,
  • Hyejin Kim,
  • Hyun Wook Kim,
  • Eun Ryeong Hong,
  • Nayeon Kim,
  • Daeseok Lee,
  • Jiyong Woo

DOI
https://doi.org/10.3390/mi13030453
Journal volume & issue
Vol. 13, no. 3
p. 453

Abstract

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To enhance the computing efficiency in a neuromorphic architecture, it is important to develop suitable memory devices that can emulate the role of biological synapses. More specifically, not only are multiple conductance states needed to be achieved in the memory but each state is also analogously adjusted by consecutive identical pulses. Recently, electrochemical random-access memory (ECRAM) has been dedicatedly designed to realize the desired synaptic characteristics. Electric-field-driven ion motion through various electrolytes enables the conductance of the ECRAM to be analogously modulated, resulting in a linear and symmetric response. Therefore, the aim of this study is to review recent advances in ECRAM technology from the material and device engineering perspectives. Since controllable mobile ions play an important role in achieving synaptic behavior, the prospect and challenges of ECRAM devices classified according to mobile ion species are discussed.

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