Scheduled presentations:

• Learning Turbulence Models from Data: A Unified Perspective of Data Assimilation and Machine Learning
  X. Zhang, H. Xiao*, X. Luo
• Student Adaptive Correction of a RANS Model for Separated Flow Fields
  S. Heo*, Y. Yun, M. Jeong, S. Jee
• Student Reynolds Stress Anisotropy Tensor Predictions using Neural Networks
  J. Cai*, P. Angeli, J. Martinez, G. Damblin, D. Lucor
• Student Assessment of a Data-Driven RANS Model for Various Separated Flows
  Y. Yun*, S. Heo, M. Jeong, S. Jee
• Active flow control on 2D wings and separation in boundary layers through deep reinforcement learning
  F. Alcántara-Ávila*, P. Suárez, A. Miró, J. Rabault, B. Font, O. Lehmkhul, R. Vinuesa