Scheduled presentations:

• Keynote Neural-network-based mixed subgrid-scale model for turbulent flow
  Y. Jeon, M. Kang, D. You*
• Student Using Machine Learning to Predict Reynolds Stress in Flows Over a Surface-Mounted Solid and Porous Block
  A. Man*, A. Keshmiri, H. Yin, Y. Mahmoudi Larimi
• POD-mode-augmented Wall Model and its Applications to Flows at Non-equilibrium Conditions
  C. Hansen*, X. Yang, M. Abkar
• Enhancement of Subgrid-Scale Turbulence-Chemistry Interaction Physics-Based Models: A Data-Driven Perspective
  R. da Silva Machado de Freitas*, A. Pequin, R. Malpica Galassi, A. Parente
• Student Reconstruction of Turbulent Flows Using Generative Diffusion Models
  M. Sardar*, A. Skillen, M. J. Zimoń, S. Draycott, A. Revell