Transolver learns intrinsic physical states from discretized meshes by adaptively splitting domains into flexible learnable slices and computing attention over physics-aware tokens, achieving state-of-the-art PDE solving on general geometries.
There is another branch of tasks, named Lagrangian settings, which simulates the dynamics system (e.g
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Transolver: A Fast Transformer Solver for PDEs on General Geometries
Transolver learns intrinsic physical states from discretized meshes by adaptively splitting domains into flexible learnable slices and computing attention over physics-aware tokens, achieving state-of-the-art PDE solving on general geometries.