MS088A State-of-the-art Machine Learning Techniques For Computational Fluid Dynamics I
MS Corresponding Organizer: Ms. Anna Schwarz ( University of Stuttgart , Germany )
Chaired by:
Ms. Anna Schwarz (University of Stuttgart , Germany) , Mr. Jens Keim (University of Stuttgart , Germany)
Ms. Anna Schwarz (University of Stuttgart , Germany) , Mr. Jens Keim (University of Stuttgart , Germany)
Scheduled presentations:
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Improving weak PINNs for Hyperbolic Conservation Laws: Dual Norm Computation, Boundary Conditions and Systems
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Combining Reinforcement Learning and Physics-Informed Neural Networks for Optimizing the Shape of Flow Channels in Profile Extrusion Dies
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Leveraging Conservation Form of Hyperbolic PDEs to Enhance the Solution Learning by PINNs for Phenomena with Moving Shocks.
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Spatio-temporal Parallel Physics-informed Neural Networks: A Framework to Solve Inverse Problems in Fluid Mechanics
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Progressive augmentation of RANS turbulence models by simulation-driven surrogate optimisation
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Enhancing Numerical Discretization of Nonlinear PDEs With Q-learning
