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Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data

FLASH-MAX is a shallow neural network representing exact Maxwell solutions per neuron that predicts electromagnetic fields from sparse observations with near-zero residual and sub-1% error in seconds, proving exact architectures improve scientific machine learning speed and precision.

Dan DeGenaro, Xin Li, Obed Amo, Michael Pokojovy and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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