3 papers
physics.flu-dyn2025
Toward a unified data-driven turbulence model through multi-objective learning
Zhuoran Liu, Haochen Wang, Zhuolin Zhao +1
Turbulence remains one of the last unresolved problems of classical physics and a major bottleneck to accurate flow prediction in climate, aerospace, and energy systems. Industrial…
physics.comp-ph2023
First-principle-like reinforcement learning of nonlinear numerical schemes for conservation laws
Hao-Chen Wang, Meilin Yu, Heng Xiao
In this study, we present a universal nonlinear numerical scheme design method enabled by multi-agent reinforcement learning (MARL). Different from contemporary supervised-learning…
physics.flu-dyn2023
Inference of relative permeability curves in reservoir rocks with ensemble Kalman method
Xu-Hui Zhou, Haochen Wang, James McClure +2
Multiphase flows through reservoir rocks are a universal and complex phenomenon. Relative permeability is one of the primary determinants in reservoir performance calculations. Acc…