J. Lecompagnon

Can Deep Learning Achieve Cross-Physics Mapping?

These findings demonstrate that deep learning can establish useful mappings between distinct physical modalities on a shared latent manifold, while the achievable accuracy remains fundamentally constrained by the direction-dependent information content of the governing physics.