{"title":"用积分方程求解电磁散射的物理信息神经网络","authors":"Jun-Bo Zhang, Da-Miao Yu, Xiao-Min Pan","doi":"10.1109/ACES-China56081.2022.10065316","DOIUrl":null,"url":null,"abstract":"The physics-informed neural network approach is applied to the integral equation to solve 2D electromagnetic scattering problems. Numerical results indicate that the integral equation can be accurately solved by a simple FCN with the PINN.","PeriodicalId":293734,"journal":{"name":"2022 International Applied Computational Electromagnetics Society Symposium (ACES-China)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Physics-Informed Neural Networks For the Solution of Electromagnetic Scattering by Integral Equations\",\"authors\":\"Jun-Bo Zhang, Da-Miao Yu, Xiao-Min Pan\",\"doi\":\"10.1109/ACES-China56081.2022.10065316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The physics-informed neural network approach is applied to the integral equation to solve 2D electromagnetic scattering problems. Numerical results indicate that the integral equation can be accurately solved by a simple FCN with the PINN.\",\"PeriodicalId\":293734,\"journal\":{\"name\":\"2022 International Applied Computational Electromagnetics Society Symposium (ACES-China)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Applied Computational Electromagnetics Society Symposium (ACES-China)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACES-China56081.2022.10065316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Applied Computational Electromagnetics Society Symposium (ACES-China)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACES-China56081.2022.10065316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Physics-Informed Neural Networks For the Solution of Electromagnetic Scattering by Integral Equations
The physics-informed neural network approach is applied to the integral equation to solve 2D electromagnetic scattering problems. Numerical results indicate that the integral equation can be accurately solved by a simple FCN with the PINN.