Training Schedule

A central component of the OpenFOAM Workskop is training provided by experts within the community.

Currently, the following 90 minute training sessions have been confirmed (final titles may change):

• Basic and advanced training for swak4Foam and PyFoam, by Bernhard Gschaider, HFD Research
• The CLI & run-time post-processing in OpenFOAM, by Gavin Tabor, University of Exeter
• Using Blender to visualise OpenFOAM cases, by Kevin Nolan, University College Dublin
• Flexible & efficient multiphysics simulations with the coupling library preCICE, by Gerasimos Chourdakis, Technical University of Munich
• An introduction to process automation and multi-physics simulation with HELYX^‡, by Paolo Geremia, Engys
• Basic and advanced training on using ParaView to visualise OpenFOAM cases, by Kitware
• How to run your first simulation in OpenFOAM and run it also with snappyHexMesh, by Jozsef Nagy, eulerian-solutions e.U.
• Introduction to cloud-based simulation with SimScale^‡, by Jousef Murad, SimScale
• Rotating Machinery, by Håkan Nilsson, Chalmers University of Technology
• Performing optimisation using Dakota and OpenFOAM, by Joel Guerrero, University of Genoa, and Wolf Dynamics 
• Finite volume discretisation, by Hrvoje Jasak, Wikki Ltd, and University of Cambridge
• How to add a transport equation to scalarTransportFoam, by Henrik Rusche, Wikki GmbH
• Using OpenFOAM to design extrusion dies for thermoplastic profiles, by João Miguel Nóbrega, University of Minho: unfortunately this training is cancelled.
• Meshing best practices for OpenFOAM with Pointwise^‡, by Chris Sideroff, Applied CCM Canada
• blastFoam: a solver for highly compressible, multi-phase reacting flows, including high-explosive detonation, by Jeff Heylmun, Synthetik Applied Technologies
• Machine learning-aided CFD with OpenFOAM and PyTorch, by Andre Weiner, Technical University of Braunschweig
• Incompressible flow simulation using regularized hydrodynamics equations in OpenFOAM v2012, by Aleksandr Ivanov, Institute for System Programming of the Russian Academy of Sciences (ISP RAS)
• Compressible flow simulation using regularized quasi-gas dynamic equations in OpenFOAM v2012, by Maria Kiryushina, Institute of Applied Mathematics of the RAS, Moscow, and Andrey Epikhin, Ivannikov Institute for system programming of the RAS, Moscow
• How to run your OpenFOAM simulation on Qarnot's cloud-computing platform to reduce its carbon footprint^‡, by Thanh-Tri Nguyen, Qarnot Computing: this training is newly added, 25-May-21

Our training schedule is now full, however, if you are still interrested in giving a talk, please consider the Splash Talks.

^‡ Not all content is available free-of-charge.