March 22, 2024, 4:41 a.m. | Hao Wu, Fan Xu, Yifan Duan, Ziwei Niu, Weiyan Wang, Gaofeng Lu, Kun Wang, Yuxuan Liang, Yang Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.13850v1 Announce Type: new
Abstract: This paper proposes a two-stage framework named ST-PAD for spatio-temporal fluid dynamics modeling in the field of earth sciences, aiming to achieve high-precision simulation and prediction of fluid dynamics through spatio-temporal physics awareness and parameter diffusion guidance. In the upstream stage, we design a vector quantization reconstruction module with temporal evolution characteristics, ensuring balanced and resilient parameter distribution by introducing general physical constraints. In the downstream stage, a diffusion probability network involving parameters is utilized …

abstract arxiv cs.ai cs.lg design diffusion dynamics earth earth sciences fluid dynamics framework guidance modeling paper physics physics.flu-dyn precision prediction simulation stage temporal through type vector via

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