MS088A State-of-the-art Machine Learning Techniques For Computational Fluid Dynamics I
MS Corresponding Organizer: Ms. Anna Schwarz (University of Stuttgart)
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
A. Chaumet*, J. Giesselmann -
Combining Reinforcement Learning and Physics-Informed Neural Networks for Optimizing the Shape of Flow Channels in Profile Extrusion Dies
D. Wolff*, C. Fricke, S. Tillmann, S. Elgeti, A. Popp -
Leveraging Conservation Form of Hyperbolic PDEs to Enhance the Solution Learning by PINNs for Phenomena with Moving Shocks.
M. Rajvanshi*, D. Ketcheson -
Spatio-temporal Parallel Physics-informed Neural Networks: A Framework to Solve Inverse Problems in Fluid Mechanics
Z. Sun*, S. Xu, D. Guo, G. Yang -
Progressive augmentation of RANS turbulence models by simulation-driven surrogate optimisation
M. Rincón*, A. Amarloo, X. Yang, M. Reclari, M. Abkar -
Enhancing Numerical Discretization of Nonlinear PDEs With Q-learning
P. Costa*, M. Raissi, D. Albuquerque
