activity
20172026
most citedPhysics-Informed Supervised Residual Learning for Electromagnetic Modeling

54 citations · 138 across the 22 of their papers we have counts for

collaborators

23 papers

physics.geo-ph2026

Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors

Hongyu Zhou, Haoran Sun, Rui Guo +3

In this study, we investigate feature-based 2.5D controlled source marine electromagnetic (mCSEM) data inversion using generative priors. Two-and-half dimensional modeling using fi…

physics.comp-ph2025

Attenuation Compensation in Lossy Media via the Wave Operator Model

Tianchen Shao, Zekui Jia, Maokun Li +2

The wave operator model provides a framework for modeling wave propagation by encoding material parameter distributions into matrix-form operators. This paper extends this framewor…

physics.optics2025

A 2-bit Ku-band Digital Metasurface with Infinitely Scalable Capability

Xiaocun Zong, Hao Shi, Fan Yang +3

In this letter, we present the design and implementation of a 2-bit digaital metasurface operating in the Ku-band, engineered to exhibit advanced polarization conversion characteri…

physics.comp-ph2025

Anti-Interference Communication Using Computational Antenna

Xiaocun Zong, Fan Yang, Shenheng Xu +1

This letter proposes a novel anti-interference communication method leveraging computational antennas, utilizing time averaging and 1-bit reconfigurable intelligent surfaces (RIS)…

physics.app-ph2025

A Novel Beam Tracking Approach for Preventing Beam Collapse

Xiaocun Zong, Fan Yang, Shenheng Xu +1

To address the issue of beam collapse resulting from instantaneous instability during switch transitions in beam tracking, this paper proposes a novel beam switching method based o…

physics.comp-ph2025

A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation

Haoran Sun, Daoqi Liu, Hongyu Zhou +3

In this study, we extend the contrast source inversion to a fully differentiable, unsupervised framework based on a neural implicit representation of the contrast source. Specifica…

physics.app-ph2025

Improving Beam Granularity Performance of Reconfigurable Refelctarray Radars via Spatial Quantization and Phase Quantization Approach

Xiaocun Zong, Fan Yang, Shenheng Xu +1

In this paper, the impacts of spatial quantization and phase quantization on the beam granularity characteristic of reconfigurable reflectarray (RRA) radars are systematically inve…

physics.app-ph2025

RIS Assisted Wireless Communication: Advanced Modeling, Simulation, and Analytical Insights

Xiaocun Zong, Fan Yang, Zhijun Zhang +2

This article presents a novel perspective to model and simulate reconfigurable intelligent surface (RIS)-assisted communication systems. Traditional methods in antenna design often…

cs.CE2024

X-RIS: A Study of the Principles and Applications of X-Shaped RIS

Xiaocun Zong, Binchao Zhang, Fan Yang +3

This paper analyzes the working principle of X-Shaped reconfigurable intelligent surface (RIS) in detail and reveals the different types of RIS that can be designed based on this s…

physics.app-ph2024

A Study of Four-Switch Cross-Shaped RIS and A Novel Design Example

Xiaocun Zong, Binchao Zhang, Fan Yang +2

This paper analyzes the working principle of four-switch cross-shaped reconfigurable intelligent surface (RIS) in detail and reveals the different types of RIS that can be designed…

physics.app-ph2024

Spatial Quantization: Advancing Insights for Enhancing RRAs Performance

Xiaocun Zong, Fan Yang, Shenheng Xu +1

In the new perspective of spatial quantization, this article systematically studies the advantages of reconfigurable reflectarray (RRA) designed with closely spaced elements in ter…

physics.comp-ph2024★ 6 cited

Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems

Daoqi Liu, Tao Shan, Maokun Li +2

In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning t…

physics.app-ph2024

Centralized active reconfigurable intelligent surface: Architecture, path loss analysis and experimental verification

Changhao Liu, Fan Yang, Shenheng Xu +2

Reconfigurable intelligent surfaces (RISs) are promising candidate for the 6G communication. Recently, active RIS has been proposed to compensate the multiplicative fading effect i…

physics.app-ph2023

Design of A Single Antenna With Tunable In-Band RCS Null Through Load Impedance Control

Binchao Zhang, Weidong Hu, Fan Yang +1

Reducing the in-band radar cross section (RCS) of antennas has been a widely concerned problem. However, most of works focus on RCS reduction of antenna arrays, or need to addition…

physics.app-ph2023

Transmission efficiency limit of single-switch and cascaded reconfigurable transmitarray elements

Changhao Liu, Fan Yang, Shenheng Xu +1

Reconfigurable transmitarray antennas (RTAs) are rapidly gaining popularity, but optimizing their performance requires systematic design theories. In particular, establishing a per…

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…

physics.comp-ph2021★ 47 cited

Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases

Tao Shan, Zhichao Lin, Xiaoqian Song +3

In this paper, we propose the neural Born iterative method (NeuralBIM) for solving 2D inverse scattering problems (ISPs) by drawing on the scheme of physics-informed supervised res…

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…

cs.IT2019★ 8 cited

Reconfigurable Intelligent Surface-Based Wireless Communication: Antenna Design, Prototyping and Experimental Results

Linglong Dai, Bichai Wang, Min Wang +8

One of the key enablers of future wireless communications is constituted by massive multiple-input multiple-output (MIMO) systems, which can improve the spectral efficiency by orde…

physics.comp-ph2018★ 1 cited

Mono-cross-anisotropic Metasurface Absorbing Boundary Condition (ABC)

Xiao Jia, Guillaume Lavigne, Christophe Caloz +1

We introduce the concept of Metasurface Absorbing-Boundary Condition (MS-ABC). This represents the first application of metasurface technology to computational electromagnetics. MS…

physics.comp-ph2017★ 14 cited

Study on a Poisson's Equation Solver Based On Deep Learning Technique

Tao Shan, Wei Tang, Xunwang Dang +4

In this work, we investigated the feasibility of applying deep learning techniques to solve Poisson's equation. A deep convolutional neural network is set up to predict the distrib…

physics.comp-ph2017★ 1 cited

Nonuniform metasurface analysis in FDTD Based on Susceptibility GSTCs

Xiao Jia, Maokun Li, Shenheng Xu +2

An accelerated analysis method for non-uniform metasurfaces in FDTD is presented for the first time. The non-uniform metasurfaces are modeled by a distribution of susceptibilities,…

physics.app-ph2017★ 2 cited

Synthesis of Spherical Metasurfaces based on Susceptibility Tensor GSTCs

Xiao Jia, Yousef Vahabzadeh, Fan Yang +1

The bianisotropic susceptibility Generalized Sheet Transition Conditions (GSTCs) synthesis method is extended from planar to spherical metasurfaces. Properties specific to the non-…