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Memristor devices for next-generation computing:from performance optimization to application-specific co-design

Zhaorui Liu Caifang Gao Jingbo Yang Zuxin Chen Enlong Li Jun Li Mengjiao Li Jianhua Zhang

极端制造(英文)2026,Vol.8Issue(1):119-146,28.
极端制造(英文)2026,Vol.8Issue(1):119-146,28.DOI:10.1088/2631-7990/ae053a

Memristor devices for next-generation computing:from performance optimization to application-specific co-design

Memristor devices for next-generation computing:from performance optimization to application-specific co-design

Zhaorui Liu 1Caifang Gao 2Jingbo Yang 1Zuxin Chen 3Enlong Li 1Jun Li 1Mengjiao Li 1Jianhua Zhang1

作者信息

  • 1. School of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of China
  • 2. School of Integrated Circuits,Tsinghua University,Beijing 100084,People's Republic of China
  • 3. School of Electronic Science and Engineering(School of Microelectronics),South China Normal University,Foshan 528225,People's Republic of China
  • 折叠

摘要

关键词

memristor/performance optimization/device design/neuromorphic computing

Key words

memristor/performance optimization/device design/neuromorphic computing

引用本文复制引用

Zhaorui Liu,Caifang Gao,Jingbo Yang,Zuxin Chen,Enlong Li,Jun Li,Mengjiao Li,Jianhua Zhang..Memristor devices for next-generation computing:from performance optimization to application-specific co-design[J].极端制造(英文),2026,8(1):119-146,28.

基金项目

This work was supported by the National Key R&D Project from the Minister of Science and Technology(2024YFA1211500),the National Natural Science Foundation of China(Grant Nos.62304130,62405158 and 62574123),and the Shanghai youth science and technology star pro-ject(24QA2702800).Special thanks are extended to the Shanghai Key Laboratory of Chips and Systems for Intelligent Connected Vehicle for its support to this work. (2024YFA1211500)

极端制造(英文)

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