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Memristor devices for next-generation computing: from performance optimization to application-specific co-design
by
Li, Jun
, Yang, Jingbo
, Li, Mengjiao
, Liu, Zhaorui
, Zhang, Jianhua
, Gao, Caifang
, Chen, Zuxin
, Li, Enlong
in
Co-design
/ Computer memory
/ Cybersecurity
/ Data storage
/ Design optimization
/ device design
/ Hardware
/ memristor
/ Memristors
/ Neuromorphic computing
/ Performance enhancement
/ Performance measurement
/ performance optimization
/ Storage systems
/ Structural design
2026
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Memristor devices for next-generation computing: from performance optimization to application-specific co-design
by
Li, Jun
, Yang, Jingbo
, Li, Mengjiao
, Liu, Zhaorui
, Zhang, Jianhua
, Gao, Caifang
, Chen, Zuxin
, Li, Enlong
in
Co-design
/ Computer memory
/ Cybersecurity
/ Data storage
/ Design optimization
/ device design
/ Hardware
/ memristor
/ Memristors
/ Neuromorphic computing
/ Performance enhancement
/ Performance measurement
/ performance optimization
/ Storage systems
/ Structural design
2026
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Do you wish to request the book?
Memristor devices for next-generation computing: from performance optimization to application-specific co-design
by
Li, Jun
, Yang, Jingbo
, Li, Mengjiao
, Liu, Zhaorui
, Zhang, Jianhua
, Gao, Caifang
, Chen, Zuxin
, Li, Enlong
in
Co-design
/ Computer memory
/ Cybersecurity
/ Data storage
/ Design optimization
/ device design
/ Hardware
/ memristor
/ Memristors
/ Neuromorphic computing
/ Performance enhancement
/ Performance measurement
/ performance optimization
/ Storage systems
/ Structural design
2026
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Memristor devices for next-generation computing: from performance optimization to application-specific co-design
Journal Article
Memristor devices for next-generation computing: from performance optimization to application-specific co-design
2026
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Overview
Memristors have emerged as a transformative technology in the realm of electronic devices, offering unique advantages such as fast switching speeds, low power consumption, and the ability to sensor-memory-compute. The applications span across non-volatile memory, neuromorphic computing, hardware security, and beyond, prompting memristors to become a versatile solution for next-generation computing and data storage systems. Despite enormous potential of memristors, the transition from laboratory prototypes to large-scale applications is challenging in terms of material stability, device reproducibility, and array scalability. This review systematically explores recent advancements in high-performance memristor technologies, focusing on performance enhancement strategies through material engineering, structural design, pulse protocol optimization, and algorithm control. We provide an in-depth analysis of key performance metrics tailored to specific applications, including non-volatile memory, neuromorphic computing, and hardware security. Furthermore, we propose a co-design framework that integrates device-level optimizations with operational-level improvements, aiming to bridge the gap between theoretical models and practical implementations.
Publisher
IOP Publishing
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