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physics.comp-ph2022
Analysis of Degrees of Freedom in Scattered Fields for Nonlinear Inverse Scattering Problems
Zhichao Lin, Rui Guo, Tao Shan +4
In the study of nonlinear inverse scattering problems (ISPs), the traditional method for estimating the number of degrees of freedom (NDoF) of the scattered field does not consider…
physics.comp-ph2022★ 2 cited
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Rui Guo, Tianyao Huang, Maokun Li +2
Electromagnetic (EM) imaging is widely applied in sensing for security, biomedicine, geophysics, and various industries. It is an ill-posed inverse problem whose solution is usuall…
physics.comp-ph2021★ 54 cited
Physics-Informed Supervised Residual Learning for Electromagnetic Modeling
Tao Shan, Jinhong Zeng, Xiaoqian Song +4
In this study, physics-informed supervised residual learning (PhiSRL) is proposed to enable an effective, robust, and general deep learning framework for 2D electromagnetic (EM) mo…