Meilin Yu

collaborators

2 papers

physics.flu-dyn2025

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $a priori$ Studies

Md Badrul Hasan, Meilin Yu, Tim Oates

This study develops invariance-embedded machine learning sub-grid-scale (SGS) stress models admitting turbulence kinetic energy (TKE) backscatter towards more accurate large eddy s…

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…

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and a priori Studies

First-principle-like reinforcement learning of nonlinear numerical schemes for conservation laws

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $a priori$ Studies