Bio-inspired electronics leveraging complex oxide dynamics

Abstract Oxide-based memristors have gained significant attention due to their versatile characteristics, making them highly suitable for bio-inspired computing. These characteristics include ultracompact sizes and low power consumption. In this paper, we present state-of-the-art concepts in oxide-based memristors, examining the different physical phenomena that enable switching. Specifically, we explore switching mechanisms driven by filamentary, interface, and ferroelectric effects. We show that in oxide electronics, the interplay between ionic and electrostatic effects is a unique platform for bio-inspired computing, in particular through the possibility to operate at multiple timescales.

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Publication Details

Journal
Japanese Journal of Applied Physics
Published
2024-09-30
DOI
https://doi.org/10.35848/1347-4065/ad8169
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Bio-inspired electronics leveraging complex oxide dynamics

Laura Bégon‐Lours, Alexandros Emboras
Japanese Journal of Applied Physics
Advanced Memory and Neural Computing
article

Bio-inspired electronics leveraging complex oxide dynamics

Laura Bégon‐Lours, Alexandros Emboras
article en

Abstract

Abstract Oxide-based memristors have gained significant attention due to their versatile characteristics, making them highly suitable for bio-inspired computing. These characteristics include ultracompact sizes and low power consumption. In this paper, we present state-of-the-art concepts in oxide-based memristors, examining the different physical phenomena that enable switching. Specifically, we explore switching mechanisms driven by filamentary, interface, and ferroelectric effects. We show that in oxide electronics, the interplay between ionic and electrostatic effects is a unique platform for bio-inspired computing, in particular through the possibility to operate at multiple timescales.

Japanese Journal of Applied PhysicsVol. 63(10)
ETH Zurich (CH)
Openalex Percentile: Top 86%
Advanced Memory and Neural Computing
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