Nanorods-Based Memristors: Advancing Bio-Inspired System and Neuromorphic Computing

Memristors are promising next-generation devices due to their energy efficiency and high data processing capabilities. Recent studies have extensively reported using memristors to mimic the human sensory system and function as versatile simulation platforms for artificial intelligence applications. This review explores the development of high-performance memristors incorporating oxide nanorods and their applications in mimicking the human sensory system and advanced computing.

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Published
2025-03-09
DOI
https://doi.org/10.1109/edtm61175.2025.11041471
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Nanorods-Based Memristors: Advancing Bio-Inspired System and Neuromorphic Computing

Keunho Soh, Jung Ho Yoon, Suk Yeop Chun, Ji Eun Kim
Advanced Memory and Neural Computing
article

Nanorods-Based Memristors: Advancing Bio-Inspired System and Neuromorphic Computing

Keunho Soh, Jung Ho Yoon, Suk Yeop Chun, Ji Eun Kim
article en

Abstract

Memristors are promising next-generation devices due to their energy efficiency and high data processing capabilities. Recent studies have extensively reported using memristors to mimic the human sensory system and function as versatile simulation platforms for artificial intelligence applications. This review explores the development of high-performance memristors incorporating oxide nanorods and their applications in mimicking the human sensory system and advanced computing.

Korea Institute of Science and Technology (KR), Sungkyunkwan University (KR)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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