Scheduled presentations:

• Solving Time-Dependent Partial Differential Equations with a Random Feature Neural Ansatz
  *C. Datar (Technical University of Munich), A. Rahma (Technical University of Munich, Institute of), F. Dietrich (Technical University of Munich, Institute of)
• Knowledge Distillation from Unstructered Data using Reliability Aware Physically-Guided Neural Networks
  *J. Ayensa-Jiménez (Aragon Institut of Engineering Research), R. Muñoz-SIerra (Aragon Institut of Engineering Research), M. Doblare (Aragon Institut of Engineering Research)
• A Sobolev neural network with adaptive residual weighting scheme as a surrogate for computational mechanics
  *A. Kilicsoy (Technical University Dortmund), M. Valdebenito (Technical University Dortmund), M. Faes (Technical University Dortmund)
• Student Digital twins empowered by Thermodynamics-Informed Neural Networks
  *A. Tierz (Universidad de Zaragoza), I. Alfaro (Universidad de Zaragoza), D. Gonzalez (Universidad de Zaragoza), F. Chinesta (ENSAM Institute of Technology), E. Cueto (Universidad de Zaragoza)
• Student Physics-Augmented Model Order Reduction for Industrial Structural Digital Twin Applications
  *D. Fleres (Siemens Digital Industries Software), D. De Gregoriis (Siemens Digital Industries Software), O. Atak (Siemens Digital Industries Software), F. Naets (KU Leuven)
• Student AI-SOLVE: Accelerating Computational Science with a Machine Learning-Enhanced Linear Algebra Library
  *I. Kalogeris (National Technical University Of Athens), G. Sotiropoulos (National Technical University of Athens), K. Atzarakis (National Technical University of Athens), G. Stavroulakis (National Technical University of Athens), V. Papadopoulos (National Technical University of Athens)