MS1-01B Data-based technologies for modelling, informing and augmenting learning about fluids and flow simulations
Corresponding Organizer: Prof. Elias Cueto (Universidad de Zaragoza)
Chaired by:
Prof. Elias Cueto (Universidad de Zaragoza , Spain) , Prof. Gianluigi Rozza (SISSA , Italy)
Prof. Elias Cueto (Universidad de Zaragoza , Spain) , Prof. Gianluigi Rozza (SISSA , Italy)
Scheduled presentations:
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Keynote
Temperature field inference using physics-informed neural networks in turbulent natural convection
K. Doria, A. Sergent*, D. Lucor -
Student
Physics-constrained Deep Learning for the k-epsilon Turbulence Model Calibration
L. Cotteleer*, A. Parente -
Student
Active flow control on 3D cylinders through deep reinforcement learning
P. Suárez*, F. Alcántara-Ávila, A. Miró, J. Rabault, B. Font, O. Lehmkhul, R. Vinuesa -
Student
Dealing with faulty sensors: a physics-informed convolutional neural network approach for recovering solutions to governing equations
D. Kelshaw*, L. Magri