Accurate and scalable deep Maxwell solvers

Proceedings of the National Academy of Sciences, Volume 123, Number 18, May 2026.
Significance This work introduces a model-independent framework for training and inference to enable accurate solving of partial differential equations (up to double precision) for problems with arbitrary sizes and parameters, thereby bridging the gap between problem-…