3 papers
physics.flu-dyn2026
Flow morphology and patterns in porous media convection: A persistent homology analysis
Marco De Paoli, Sergio Pirozzoli, Catherin Neena Lalu +1
Convective mixing in porous media is crucial in both geophysical and industrial fields, spanning applications ranging from carbon dioxide sequestration to geothermal energy extract…
physics.flu-dyn2026
How modeling assumptions shape predictions of convective mixing of carbon dioxide
Marco De Paoli, Sergio Pirozzoli
We investigate how models of fluid properties and boundary conditions influence predictions of convective mixing in confined porous media, with relevance to subsurface carbon dioxi…
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…