AI RESEARCH
MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention
arXiv CS.LG
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ArXi:2512.01738v2 Announce Type: replace A key scalability challenge in neural solvers for industrial-scale physics simulations is efficiently capturing both fine-grained local interactions and long-range global dependencies across millions of spatial elements. We