1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026
Calibration of the underlying surface parameters for urban flood using latent variables and adjoint equation
Yongfu Tian, Shan Ding, Guofeng Su +1
Calibrating the urban underlying surface parameters is crucial for urban flood simulation. We formulate the parameter calibration problem into an optimization problem within the Ba…
physics.flu-dyn2025★ 1 cited
Physics-Informed Neural Networks for Solving the Two-Dimensional Shallow Water Equations with Terrain Topography and Rainfall Source Terms
Yongfu Tian, Shan Ding, Guofeng Su +2
Solving the two-dimensional shallow water equations is a fundamental problem in flood simulation technology. In recent years, physics-informed neural networks (PINNs) have emerged…