SFVnet: Finite-volume informed U-net for compressible flow prediction with sparse data under ill-conditions

Journal of Computational Physics 2026

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Authors: Tong Zhu, Bingqian Si, Lin Fu, Yanglong Lu

DOI: 10.1016/j.jcp.2026.114696

Cited by: 0

References: 56

Fields of Study & Subjects

Model Reduction and Neural Networks Computational Fluid Dynamics and Aerodynamics Neural Networks and Applications

References 56