Scheduled presentations:

• Keynote Towards the Fatigue Behavior Assessment of Ni-Ti Biomedical Devices through the Integration of Different Predictive Approaches
  A. Brambilla (Politecnico di Milano), F. Berti (Politecnico di Milano), L. Patriarca (Politecnico di Milano), L. De Lorenzis (ETH Zurich), *L. Petrini (Politecnico di Milano)
• Crystal Plasticity Simulations and Machine Learning‑Enhanced Modelling of γ/γ′ Sub‑Grain Structure in Ni‑Based Superalloys
  *P. Antonioni (Chalmers University of Technology), M. Ekh (Chalmers University of Technology), K. Meyer (Chalmers University of Technology)
• Data Driven Prediction of Fatigue Life in Welded Joints via Aautomated FE Simulations and Machine Learning Based Geometry Generation
  *M. Harder (German Aerospace Center), F. Renken (Hamburg University of Technology), M. Braun (German Aerospace Center)
• Predicting mechanical properties of cast aluminium microstructures with phase-field damage and defect modelling
  *R. Larsson (Volvo Cars), M. Ekh (Chalmers University)
• Full-field melt-pool characterisation in laser powder bed fusion using high-fidelity thermo-fluid simulations
  *S. RODRIGUEZ (University College Dublin), P. Cardiff (University College Dublin), P. Cosic (University College Dublin), A. Ivankovic (University College Dublin)