Scheduled presentations:

• Keynote Machine Learning for The Qualification of Direct Energy Deposition Processes
  *M. Chiumenti (CIMNE), T. Herzog2 (RMIT), C. Moreira (CIMNE), A. Molotnikov (RMIT), M. Caideco (CIMNE), R. Ramma (CIMNE), M. Cervera (CIMNE)
• A highly efficient computational approach for fast scan-resolved simulations of metal additive manufacturing processes on the scale of real parts
  *S. Proell (Technical University of Munich), P. Munch (Uppsala University), M. Kronbichler (University of Bochum), W. Wall (Technical University of Munich), C. Meier (Technical University of Munich)
• Efficient multi-phase-field simulation method for predicting material microstructures in various scanning strategies of additive manufacturing
  *Y. Takahashi (Kyoto Institute of Technology), S. Sakane (Kyoto Institute of Technology), T. Takaki (Kyoto Institute of Technology)
• Fast Photopolymerization Simulation using the Laplace Transform Finite Element Method
  *N. Sanchez Martinez (TU/e), O. van der Sluis (TU/e), J. Remmers (TU/e)
• Simulation of additively manufactured glasses based on the Hamilton principle using Neigbor Element Methode (NEM)
  *T. Rudolf (Leibniz University Hannover), M. Soleimani (Leibniz University Hannover), T. Bode (Leibniz University Hannover), P. Junker (Leibniz University Hannover)
• Multiphysics and Multiscale Computational Modelling and Experimental Studies on the Influence of Powder Size Distribution to Ti-6Al-4V Material Deposited by Cold Spray Additive Manufacturing
  *Z. Zhang (Institute of High Performance Computing), T. Ba (Institute of High Performance Computing), D. Seng (Institute of Materials Research and Engineeri), J. Pan (Institute of Materials Research and Engineeri), Z. Zhang (Institute of Materials Research and Engineeri), Z. Liu (Institute of High Performance Computing)