Scheduled presentations:

• Evaluating the Robustness of Generative Models in Emulating Non-stationary Dynamical Systems
  *T. Maier (DLR / TUM), K. Debeire (DLR), N. Thuerey (TUM), V. Eyring (DLR)
• Few‑Shot Gaussian Mixture Models for Uncertainty-Aware Process Window Identification in Laser‑Based Additive Manufacturing
  S. Basterrech (DTU Construct), *S. Mohanty (DTU Construct)
• Mixture-of-experts Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel
  *P. Robbe (Sandia National Laboratories), A. Ruybalid (Los Alamos National Laboratory), H. Najm (Sandia National Laboratories), L. Capolungo (Los Alamos National Laboratory), C. Safta (Sandia National Laboratories)
• Uncertainty Propagation in Spring-Mass-Damper Systems with Data-Driven Nonlinear Force Correction
  *K. Marlantes (Hybrid Simulation Technologies LLC)
• Physics-Constrained Bayesian Inference of Density Functionals in Machine-Learning-Augmented Classical Density Functional Theory
  *E. Monti (Imperial College London), P. Yatsyshin (The Alan Turing Institute), K. Gkagkas (Toyota Motor Europe), A. Duncan (Imperial College London)