AI RESEARCH
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation
arXiv CS.LG
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ArXi:2505.20349v2 Announce Type: replace-cross Data-driven modeling of fluid dynamics has advanced rapidly with neural PDE solvers, yet a fair and strong benchmark remains fragmented due to the absence of unified PDE datasets and standardized evaluation protocols. Although architectural innovations are abundant, fair assessment is further impeded by the lack of clear disentanglement between spatial, temporal and loss modules. In this paper, we