MS012C Complex Fluid Flows in Engineering: Modeling, Simulation, and Optimization III
MS Corresponding Organizer: Dr. Fabian Key ( TU Wien , Austria )
Chaired by:
Dr. Fabian Key ( TU Wien , Austria ) , Prof. Stefanie Elgeti ( TU Wien , Austria )
Dr. Fabian Key ( TU Wien , Austria ) , Prof. Stefanie Elgeti ( TU Wien , Austria )
Scheduled presentations:
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A Data-Driven Rheological Model Based on Input Convex Neural Networks
N. Parolini* -
Using Neural-Networks to Close Reynolds-Averaged Navier-Stokes Equations
D. Oberto*, S. Berrone, M. Strazzullo -
Optimizing Physics-Informed Neural Networks for Pulsatile Non-Newtonian Channel Flows
N. Park*, J. Son, J. Nam -
Anisotropic mesh adaptation techniques for the Variational MultiScale-Smagorinsky modeling of high Reynolds flows
E. Temellini*, N. Ferro, G. Stabile, S. Perotto, T. Chacon Rebollo -
Large eddy simulation of an excited nitrogen-diluted hydrogen flame stabilised by a bluff-body
L. Caban, A. Wawrzak, A. Tyliszczak*
