#electromagnetic scattering
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2 papers match
physics.optics2026
Physics-Informed Neural Networks for 2D Plane Wave Scattering in Arbitrary Dielectric Structures
Zheng-Yu Huang, Yu Tian, Jing-Wen Zhang +1
The paper presents a meshless physics-informed neural network framework that solves 2D electromagnetic wave scattering in arbitrary dielectric structures by embedding Maxwell's equ…
#physics-informed neural networks#electromagnetic scattering#dielectric structures#meshless methods
physics.optics2026
Symmetry-Informed Deep Learning for Electromagnetic Scattering
Viktor A. Lilja, Philippe Tassin
The paper introduces a symmetry‑aware deep learning framework that uses the equivariance of Maxwell’s equations to create data‑efficient and physically consistent surrogate models…
#symmetry#deep learning#electromagnetic scattering#physics-informed neural networks