Scheduled presentations:

• High-Fidelity Digital Twinning Approaches for Coupled Field Problems
  *R. Wüchner (Technical University of Munich), S. Warnakulasuriya (Technical University of Munich), I. Antonau (Technische Universität Braunschweig), T. Ansari (Technical University of Munich), F. Airaudo (George Mason University), R. Löhner (George Mason University), H. Antil (George Mason University)
• On the feasibility of foundational models for neural simulation
  *A. Tierz (Universidad de Zaragoza), M. Martinez Iparraguirre (Universidad de Zaragoza), I. Alfaro (Universidad de Zaragoza), D. Gonzalez (Universidad de Zaragoza), F. Chinesta (ENSAM), E. Cueto (Universidad de Zaragoza)
• Reduced-order Surrogate Modeling as Foundation for Catalyzing Digital Twins in Process and Chemical Engineering
  *L. Peterson (Max Planck Institute Magdeburg), A. Forootani (Helmholtz Centre Leipzig), E. Sanchez Medina (Max Planck Institute Magdeburg), I. Gosea (Max Planck Institute Magdeburg), P. Benner (Max Planck Institute Magdeburg), K. Sundmacher (Max Planck Institute Magdeburg)
• Thermodynamics-informed Graph Neural Networks for Digital Twin simulation
  *A. Tierz (Universidad de Zaragoza), I. Alfaro (Universidad de Zaragoza), D. González (Universidad de Zaragoza), F. Chinesta (ENSAM Institute of Technology), E. Cueto (Universidad de Zaragoza)
• Development of a Strong Form Meshless Solution Procedure for Thermo-Mechanical Modelling of Steel Production Processes
  *G. Vuga (University of Ljubljana), T. Dobravec (University of Ljubljana), B. Mavrič (University of Ljubljana), U. Hanoglu (University of Ljubljana), B. Šarler (University of Ljubljana)