5 citations · 9 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2025★ 5 cited
Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming
Xiaofeng Liu, Yalan Song
Shallow water equations (SWEs) are the backbone of most hydrodynamics models for flood prediction, river engineering, and many other water resources applications. The estimation of…
physics.flu-dyn2022★ 3 cited
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers
Xiaofeng Liu, Yalan Song, Chaopeng Shen
River bathymetry is critical for many aspects of water resources management. We propose and demonstrate a bathymetry inversion method using a deep-learning-based surrogate for shal…
physics.flu-dyn2021★ 1 cited
Surrogate Model for Shallow Water Equations Solvers with Deep Learning
Yalan Song, Chaopeng Shen, Xiaofeng Liu
Shallow water equations are the foundation of most models for flooding and river hydraulics analysis. These physics-based models are usually expensive and slow to run, thus not sui…