Research on the Development and application of Memristor

This paper provides an overview of memristor devices, from their theoretical conception to practical applications. The limitations of conventional Von Neumann computer architectures are first discussed. The memristor is then introduced as a potential solution, with its unique properties of remembering resistance states. The history of memristors is reviewed, from Leon Chua’s 1971 prediction to HP’s 2008 experimental realization using titanium dioxide devices. Devices physics enabling resistance switching in HP’s TiO2 memristor are explained. Applications of memristors in non-volatile memory, logic operations, and neural network computing are described, with circuit implementations. Specifically, the use of memristor crossbar arrays for efficient multiply-accumulate operations is analyzed. Future prospects focus on memristor-based in-memory computing systems to overcome the Von Neumann bottleneck. Overall, this paper aims to illustrate the significant potential of memristors to revolutionize electronics and computing.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862965
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Research on the Development and application of Memristor

Michael Lin
Advanced Memory and Neural Computing
article

Research on the Development and application of Memristor

Michael Lin
article en

Abstract

This paper provides an overview of memristor devices, from their theoretical conception to practical applications. The limitations of conventional Von Neumann computer architectures are first discussed. The memristor is then introduced as a potential solution, with its unique properties of remembering resistance states. The history of memristors is reviewed, from Leon Chua’s 1971 prediction to HP’s 2008 experimental realization using titanium dioxide devices. Devices physics enabling resistance switching in HP’s TiO2 memristor are explained. Applications of memristors in non-volatile memory, logic operations, and neural network computing are described, with circuit implementations. Specifically, the use of memristor crossbar arrays for efficient multiply-accumulate operations is analyzed. Future prospects focus on memristor-based in-memory computing systems to overcome the Von Neumann bottleneck. Overall, this paper aims to illustrate the significant potential of memristors to revolutionize electronics and computing.

UNSW Sydney (AU)
Openalex Percentile: Top 75%
Advanced Memory and Neural Computing
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