Contributions in this session:

• (Keynote) Temperature field inference using physics-informed neural networks in turbulent natural convection
  K. Doria, A. Sergent*, D. Lucor
• Physics-constrained Deep Learning for the k-epsilon Turbulence Model Calibration
  L. Cotteleer*, A. Parente
• 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
• Dealing with faulty sensors: a physics-informed convolutional neural network approach for recovering solutions to governing equations
  D. Kelshaw*, L. Magri