Scheduled presentations:

• Keynote Scientific Machine Learning for Affordable High-Fidelity Simulations of Metal Additive Manufacturing
  *E. Hosseini (Empa / ETHZ), P. Gh Ghanbari (Empa / ETHZ), J. Tang (Empa / ETH)
• Towards neuronal network enhanced finite element simulations in additive manufacturing
  *C. Behrens (University of Bremen), V. Ploshikhin (University of Bremen)
• A data-driven framework for supporting experts with explainable process-structure linkages in metal additive manufacturing
  *M. Ackermann (Steel Institute Aachen, RWTH Aachen), C. Haase (Steel Institute Aachen, RWTH Aachen)
• GAN Enables Microstructure Monitoring for Additive Manufacturing of Complex Structures
  *H. Wessels (TU Braunschweig), A. Henkes (TU Braunschweig), L. Herrmann (TU Munich), S. Kollmannsberger (TU Munich)
• Data-driven and Physics-based Modelling to Predict Process Behaviour and Deposit Geometry for Friction Surfacing under Different Environmental Conditions
  *F. Bock (Helmholz-Zentrum Hereon), Z. Kallien (Helmholz-Zentrum Hereon), N. Huber (Helmholz-Zentrum Hereon), B. Klusemann (Leuphana University Lüneburg)
• Property Tailoring using Powder Bed Fusion: Simulation-based and Data-driven Techniques
  *Y. Yang (TU Darmstadt), B. Lin (TU Darmstadt), B. Xu (TU Darmstadt)