Scheduled presentations:

• Physics-aware Machine Learning Surrogates for Digital Twin Architectures of an L/DED-W Additive Manufacturing Process
  *M. Kannapinn (Technical University of Darmstadt), F. Roth (Technical University of Darmstadt), K. Awasthi (Technical University of Darmstadt), O. Weeger (Technical University of Darmstadt)
• Efficient inverse design of architected materials
  *M. Kästner (TU Dresden), A. Otto (TU Dresden), A. Raßloff (TU Dresden), M. Rosenkranz (TU Dresden), I. Sbalzarini (TU Dresden)
• NN-Based Inverse Design Of Spinodoid Architected Materials
  *A. Otto (TUD Dresden University of Technology), M. Rosenkranz (TUD Dresden University of Technology), K. Kalina (TUD Dresden University of Technology), M. Kästner (TUD Dresden University of Technology)
• Highly accurate microstructure prediction for various scanning strategies in LPBF by bridging thermal-fluid and multi-phase-field simulations
  *Y. Takahashi (Kyoto Institute of Technology), S. Sakane (Kyoto Institute of Technology), T. Takaki (Kyoto Insitute of Technology)
• Bayesian Calibration of Powder-Scale Models for Predicting Porosity in Binder Jetting of Steels
  *V. Lampitella (IMDEA Materials), C. Schenk (IMDEA Materials), I. Romero (IMDEA Materials & UPM ETSI), D. Tourret (IMDEA Materials)
• Multi-Camera Fault Detection in Fused Deposition Modelling
  *S. Kilambi (TU Delft), A. Tournoy (TU Delft), M. Amani (TU Delft), J. Jovanova (TU Delft), B. Caglar (TU Delft), K. Masania (TU Delft)