Divergence-Constrained Physics-Informed Neural Networks for Time-Domain Maxwell's Equations

Chenhong Zhou, Zaifeng Yang, Xinyu Yang, Wei Bin Ewe, Hangwei Qian, Jie Chen

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Keywords* Physics-Informed Neural Networks (PINNs), Time-Domain Maxwell Equations, Divergence Constraint, Gauss’s Law, Constraint Regularization, Deep Learning for PDEs

TL;DR: We improve time-domain Maxwell PINNs by explicitly enforcing Gauss-law divergence constraints, yielding more accurate and faster-converging cavity simulations.

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Submission Number: 173