Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim

1 code implementation • 25 Feb 2024 • Tomislav Maric, Mohammed Elwardi Fadeli, Alessandro Rigazzi, Andrew Shao, Andre Weiner

Combining machine learning (ML) with computational fluid dynamics (CFD) opens many possibilities for improving simulations of technical and natural systems.

In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD

no code implementations • 22 Jun 2023 • Riccardo Balin, Filippo Simini, Cooper Simpson, Andrew Shao, Alessandro Rigazzi, Matthew Ellis, Stephen Becker, Alireza Doostan, John A. Evans, Kenneth E. Jansen

Recent years have seen many successful applications of machine learning (ML) to facilitate fluid dynamic computations.

Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling

3 code implementations • 13 Apr 2021 • Sam Partee, Matthew Ellis, Alessandro Rigazzi, Scott Bachman, Gustavo Marques, Andrew Shao, Benjamin Robbins

We demonstrate the first climate-scale, numerical ocean simulations improved through distributed, online inference of Deep Neural Networks (DNN) using SmartSim.

BIG-bench Machine Learning