Scheduled presentations:

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