Scheduled presentations:

• Machine Learning-Augmented Modeling on the Formation of Non-Conventional Nano-Precipitates in Fast Solidified Al Alloys
  *Y. Fan (University of Michigan, Ann Abor)
• ANN Surrogate Model for Statistical Descriptors of Geometric Features in Heterogeneous Composite Materials
  *L. Schmollack (Technical University Berlin), S. Klinge (Technical University Berlin)
• Modelling the viscoelastic behaviour of Alginate-Gelatine Hydrogels
  *M. Graham (TU Berlin), S. Klinge (TU Berlin)
• Data-Efficient Machine Learning Approaches for Constitutive Modeling of Plasticity
  S. Hildebrand (Technische Universität Berlin), T. Beerhues (Technische Universität Berlin), *S. Klinge (Technische Universität Berlin)
• Mesh-based neural energy methods (M-NEM) for heterogeneous composites and crack propagation
  *S. Hildebrand (Technische Universität Berlin), P. Wichmann (Technische Universität Berlin), M. Toncelli (Technische Universität Berlin), S. Klinge (Technische Universität Berlin)
• ML-based Crude Oil Mud Contamination Detection Using EIS Technology
  *I. Corona Acosta (Baker Hughes), O. Otayf (Baker Hughes), S. Maity (Baker Hughes), V. Britton (Baker Hughes)