Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation

Fuente: arXiv

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Bibliographic Details
Main Authors:	A., Eshwar R., Thomas, Nevin Mathew, G, Nehal, Begam, Farida M.
Format:	Preprint
Published:	2026
Subjects:	Fluid Dynamics Computer Vision and Pattern Recognition Machine Learning Dynamical Systems Chaotic Dynamics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.23372