AI RESEARCH
Latent Generative Solvers for Generalizable Long-Term Physics Simulation
arXiv CS.LG
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ArXi:2602.11229v2 Announce Type: replace-cross Reliable physics simulation demands two capabilities that today's neural PDE solvers do not deliver together: generalization across heterogeneous PDE families, and stability under long autoregressive rollouts. Deterministic operators accumulate error geometrically, while existing probabilistic solvers are confined to a single PDE family or short horizons.