[16th OpenFOAM Workshop] Machine learning aided CFD with OpenFOAM and PyTorch

[16th OpenFOAM Workshop] Machine learning aided CFD with OpenFOAM and PyTorch

Share:

Similar Tracks

[16th OpenFOAM Workshop] Multiphase I OpenFOAM Journal

[17th OpenFOAM Workshop] Towards physics based DL in OF Combining OpenFOAM with the PyTorch C++ API OpenFOAM Journal

Machine learning for fluid dynamics: An Introduction Flowthermolab

[16th OpenFOAM Workshop] Using Blender to visualise OpenFOAM cases OpenFOAM Journal

Deep Learning for Turbulence Closure Modeling Steve Brunton

Introduction to CFD for a Complete Beginner Flowthermolab

Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad Jousef Murad LITE

[OFW19] Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim OpenFOAM Journal

Machine Learning for Computational Fluid Dynamics Steve Brunton

Quick and dirty introduction to overset meshes in OpenFOAM-V2312 Wolf Dynamics World - WDW

"Predictive Digital Twins: From physics-based modeling to scientific machine learning" Prof. Willcox Center for Intelligent Systems CIS EPFL

How is machine learning improving computational fluid dynamics? Ricardo Vinuesa

Training Graph Neural Networks for CFD - Jakob Lohse | Deep Dive Session 6 Jousef Murad | Deep Dive

OpenFOAM SnappyHexMesh Tutorial Calum Douglas

Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics Institute for Pure & Applied Mathematics (IPAM)

Turbulence Closure Models: Reynolds Averaged Navier Stokes (RANS) & Large Eddy Simulations (LES) Steve Brunton

Think Fast, Talk Smart: Communication Techniques Stanford Graduate School of Business

90's Lofi City 🌧️ Rainy Lofi Hip Hop 🎶 Lofi Music & Rain Sounds ☔️ Lofi Rain Playlist Retro-Rhythm

Dimensionality reduction of fluid flows Aditya Nair