2 papers
physics.flu-dyn2025
SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms
Maochao Xiao, Yuning Wang, Felix Rodach +15
Deep reinforcement learning (DRL) is emerging as a powerful tool for fluid-dynamics research, encompassing active flow control, autonomous navigation, turbulence modeling and disco…
physics.flu-dyn2024
CaLES: A GPU-accelerated solver for large-eddy simulation of wall-bounded flows
Maochao Xiao, Alessandro Ceci, Pedro Costa +2
We introduce CaLES, a GPU-accelerated finite-difference solver designed for large-eddy simulations (LES) of incompressible wall-bounded flows in massively parallel environments. Bu…