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20172026
most citedPhysics-Informed Supervised Residual Learning for Electromagnetic Modeling

54 citations · 147 across the 28 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

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…

cs.LG2022★ 2 cited

Deep-Learning-Empowered Inverse Design for Freeform Reconfigurable Metasurfaces

Changhao Liu, Fan Yang, Maokun Li +1

The past decade has witnessed the advances of artificial intelligence with various applications in engineering. Recently, artificial neural network empowered inverse design for met…

physics.app-ph2022★ 15 cited

A Radiation Viewpoint of Reconfigurable Reflectarray Elements: Performance Limit, Evaluation Criterion and Design Process

Changhao Liu, You Wu, Songlin Zhou +4

Reconfigurable reflectarray antennas (RRAs) have rapidly developed with various prototypes proposed in recent literatures. However, designing wideband, multiband, or high-frequency…

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…

cs.IT2022★ 5 cited

Transmissive RIS for 6G Communications: Design, Prototyping, and Experimental Demonstrations

Junwen Tang, Mingyao Cui, Shenheng Xu +3

Reconfigurable intelligent surface (RIS) has been widely considered as a key technique to improve spectral efficiency for 6G communications. Compared with most existing research th…