Physics-Informed Supervised Residual Learning for Electromagnetic Modeling-Reference-Cited by-同舟云学术

Physics-Informed Supervised Residual Learning for Electromagnetic Modeling

Published:2023-04 Issue:4 Volume:71 Page:3393-3407
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Shan Tao¹^ORCID,Zeng Jinhong¹,Song Xiaoqian²^ORCID,Guo Rui¹^ORCID,Li Maokun¹^ORCID,Yang Fan¹^ORCID,Xu Shenheng¹^ORCID

Affiliation:

1. Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

2. National Institute of Metrology, Beijing, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Institute for Precision Medicine

Tsinghua University

Biren Technology

BGP Inc

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/10094249/10057211.pdf?arnumber=10057211

Reference72 articles.

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5. Characteristic basis function method: A new technique for efficient solution of method of moments matrix equations

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