Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim

arXiv:2402.16196v1 Announce Type: new
Abstract: Combining machine learning (ML) with computational fluid dynamics (CFD) opens many possibilities for improving simulations of technical and natural systems. However, CFD+ML algorithms require exchange of data, synchronization, and calculation on heterogeneous hardware, making their implementation for large-scale problems exceptionally challenging.
We provide an effective and scalable solution to developing CFD+ML algorithms using open source software OpenFOAM and SmartSim. SmartSim provides an Orchestrator that significantly simplifies the programming of CFD+ML algorithms and a Redis database …

abstract algorithms arxiv cfd computational cs.lg data dynamics fluid dynamics hardware implementation machine machine learning making ml algorithms natural physics.flu-dyn scale simulations synchronization systems technical type