电子学报(英文)2026,Vol.35Issue(1):24-39,16.DOI:10.23919/cje.2025.00.110
Data-Driven Non-intrusive Reduced-Order Modeling Framework for Multiphysics Digital Twin Models of Large-Scale Electronic Devices
Data-Driven Non-intrusive Reduced-Order Modeling Framework for Multiphysics Digital Twin Models of Large-Scale Electronic Devices
摘要
关键词
Non-intrusive reduced-order model/Dynamic model correction approach/Operator inference/Multiphysics digital twin model/Online monitoringKey words
Non-intrusive reduced-order model/Dynamic model correction approach/Operator inference/Multiphysics digital twin model/Online monitoring引用本文复制引用
Da-Wei Wang,Bo-Wen Zhang,Le-Tian Wang,Haogang Wang,Wen-Sheng Zhao..Data-Driven Non-intrusive Reduced-Order Modeling Framework for Multiphysics Digital Twin Models of Large-Scale Electronic Devices[J].电子学报(英文),2026,35(1):24-39,16.基金项目
This work was supported by the National Natural Sci-ence Foundation of China(Grant Nos.92373117,U24A20296,and 62222401),the National Key R&D Pro-gram of China(Grant No.2025YFE0102500),the Nat-ural Science Foundation of Zhejiang Province(Grant Nos.LD22F040003 and LD24F040005),and the Scien-tific Research Fund of Zhejiang Provincial Education Department(Grant Nos.Y202352008 and Y202455375). (Grant Nos.92373117,U24A20296,and 62222401)