Memristor devices for next-generation computing:from performance optimization to application-specific co-designOA
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
School of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of ChinaSchool of Integrated Circuits,Tsinghua University,Beijing 100084,People's Republic of ChinaSchool of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of ChinaSchool of Electronic Science and Engineering(School of Microelectronics),South China Normal University,Foshan 528225,People's Republic of ChinaSchool of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of ChinaSchool of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of ChinaSchool of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of ChinaSchool of Microelectronics,Shanghai University,Shanghai 200444,People's Republic of China
memristorperformance optimizationdevice designneuromorphic computing
memristorperformance optimizationdevice designneuromorphic computing
《极端制造（英文）》 2026 (1)
119-146,28
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.
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