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首页|期刊导航|National Science Open|Physics-informed neuromorphic learning: Enabling scalable industrial digital twins

Physics-informed neuromorphic learning: Enabling scalable industrial digital twins

Xin Li Cailian Chen Yue Tang Qimin Xu Lei Xu Yanzhou Zhang Qi Su Zhengtao Ding Xinping Guan

National Science Open2025,Vol.4Issue(5):P.69-88,20.
National Science Open2025,Vol.4Issue(5):P.69-88,20.DOI:10.1360/nso/20250016

Physics-informed neuromorphic learning: Enabling scalable industrial digital twins

Xin Li 1Cailian Chen 2Yue Tang 3Qimin Xu 3Lei Xu 4Yanzhou Zhang 3Qi Su 3Zhengtao Ding 5Xinping Guan3

作者信息

  • 1. School of Automation and Intelligent Sensing,Shanghai Jiao Tong University,Shanghai 200240,China Key Laboratory for System Control and Information Processing,Ministry of Education,Shanghai 200240,China Shanghai Key Laboratory for Perception and Control in Industrial Network Systems,Shanghai 200240,China The Department of Electrical and Electronic Engineering,University of Manchester,Manchester M139PL,UK
  • 2. School of Automation and Intelligent Sensing,Shanghai Jiao Tong University,Shanghai 200240,China Key Laboratory for System Control and Information Processing,Ministry of Education,Shanghai 200240,China Shanghai Key Laboratory for Perception and Control in Industrial Network Systems,Shanghai 200240,China SJTU-Paris Elite Institute of Technology,Shanghai Jiao Tong University,Shanghai 200240,China
  • 3. School of Automation and Intelligent Sensing,Shanghai Jiao Tong University,Shanghai 200240,China Key Laboratory for System Control and Information Processing,Ministry of Education,Shanghai 200240,China Shanghai Key Laboratory for Perception and Control in Industrial Network Systems,Shanghai 200240,China
  • 4. School of Automation and Intelligent Sensing,Shanghai Jiao Tong University,Shanghai 200240,China Key Laboratory for System Control and Information Processing,Ministry of Education,Shanghai 200240,China Shanghai Key Laboratory for Perception and Control in Industrial Network Systems,Shanghai 200240,China Shanghai Key Laboratory of Integrated Administration Technologies for Information Security,Shanghai 200240,China
  • 5. The Department of Electrical and Electronic Engineering,University of Manchester,Manchester M139PL,UK
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摘要

关键词

industrial digital twin/industrial control system/machine learning

分类

信息技术与安全科学

引用本文复制引用

Xin Li,Cailian Chen,Yue Tang,Qimin Xu,Lei Xu,Yanzhou Zhang,Qi Su,Zhengtao Ding,Xinping Guan..Physics-informed neuromorphic learning: Enabling scalable industrial digital twins[J].National Science Open,2025,4(5):P.69-88,20.

基金项目

supported by the National Natural Science Foundation of China(62432009,92167205,624B2093,and U22A2050). (62432009,92167205,624B2093,and U22A2050)

National Science Open

2097-1168

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