Tag: ML
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Introduction to Computational Fluid Dynamics
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Join our Anna Schwarz as one of the instructors for the reoccuring “Introduction to Computational Fluid Dynamics” course organized by HLRS, IAG (University of Stuttgart) and the Institute of Software Methods for Product Virtualisation (DLR).
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Entropy stable subcell shock capturing scheme for high-order discontinuous Galerkin methods on moving meshes
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If you’re not in the mini-symposium with Samual, make sure to see the talk ‘Entropy stable subcell shock capturing scheme for high-order discontinuous Galerkin methods on moving meshes’ presented by Anna Schwarz in room 1.14.
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ECCOMAS MS088 – State-of-the-art Machine Learning Techniques For Computational Fluid Dynamics
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Machine learning (ML) in scientific applications including computational fluid dynamics (CFD) is a growing field of research. However, ML can be less stable and more prone to errors in CFD because of its complexity relative to e.g. game theory. Thus, recent research has concentrated on reinforcement learning (RL) or physics-informed methods applied to CFD. Another…