Scheduled presentations:

• 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*