Data-Driven Non-intrusive Reduced-Order Modeling Framework for Multiphysics Digital Twin Models of Large-Scale Electronic DevicesOA
Data-Driven Non-intrusive Reduced-Order Modeling Framework for Multiphysics Digital Twin Models of Large-Scale Electronic Devices
Da-Wei Wang;Bo-Wen Zhang;Le-Tian Wang;Haogang Wang;Wen-Sheng Zhao
The Innovation Center for Electronic Design Automation Technology,Hangzhou Dianzi University,Hangzhou 310018,ChinaThe Innovation Center for Electronic Design Automation Technology,Hangzhou Dianzi University,Hangzhou 310018,ChinaThe Innovation Center for Electronic Design Automation Technology,Hangzhou Dianzi University,Hangzhou 310018,ChinaCollege of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310000,ChinaThe Innovation Center for Electronic Design Automation Technology,Hangzhou Dianzi University,Hangzhou 310018,China
Non-intrusive reduced-order modelDynamic model correction approachOperator inferenceMultiphysics digital twin modelOnline monitoring
Non-intrusive reduced-order modelDynamic model correction approachOperator inferenceMultiphysics digital twin modelOnline monitoring
《电子学报（英文）》 2026 (1)
24-39,16
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).
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