Scheduled presentations:

• Thermal Modeling of Metal Additive Manufacturing with Semi-analytical Isogeometric Analysis
  Y. Yang (Delft University of Technology), Y. Ji (Delft University of Technology), M. Möller (Delft University of Technology), *C. Ayas (Delft University of Technology)
• Efficient thermal simulation of additive manufacturing processes using QuadWire: an extended one-dimensional model.
  *L. Brencklé (Ecole Polytechnique), R. Viano (Ecole Polytechnique), D. Weisz-Patrault (CNRS)
• An Active Learning Framework for Process Parameter Optimization in Additive Manufacturing of Inconel 718/Copper
  *G. Li (National Taiwan University), Y. Chueh (National Taiwan University), C. Chen (National Taiwan University)
• LTS-DeepONet: A State-Evolution Operator Learning Approach for LPBF Thermal Histories of Arbitrary Geometries and Scan Strategies
  *F. Tieleman (Delft University of Technology), C. Ayas (Delft University of Technology), H. Akay (Delft University of Technology), M. Langelaar (Delft University of Technology), R. Maas (Royal Netherlands Aerospace Centre), T. Koenis (Royal Netherlands Aerospace Centre)
• Towards Physics-Informed Neural Networks for Part-Scale Overheating Prediction in PBF-LB/M
  *K. Beuerlein (Technical University of Munich), H. Haas (Technical University of Munich), L. Melzig (Technical University of Munich), F. Riegger (Technical University of Munich), M. Zaeh (Technical University of Munich)