Scheduled presentations:

• Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
  *R. Najafi (Helmut-Schmidt University), S. Rezaei (Access e.V.), N. Rauter (Helmut-Schmidt University)
• Student Uncertainty-Driven Phase-Field Mixtures of Constitutive Models
  *J. Storm (Delft University of Technology), W. Sun (Columbia University), I. Rocha (Delft University of Technology), F. van der Meer (Delft University of Technology)
• Student Learning to Optimize: Artificial Neural Networks Applied to Topology Optimization
  *F. Ebrahimian (ENSAM), A. Badías (UPM), A. Ebey Thomas (ESI), F. Chinesta (ENSAM,ESI)
• Student Multi-Fidelity Surrogate Model for Representing Hierarchical Databases To Approximate Human-Seat Interaction
  G. Huynh (ITM, University of Stuttgart), *N. Fahse (ITM, University of Stuttgart), J. Kneifl (ITM, University of Stuttgart), J. Fehr (ITM, University of Stuttgart)
• A Neural Network Enhanced RKPM for Static and Dynamic Problems
  *J. Chen (University of California San Diego), *S. Casebolt (University of California San Diego), Y. Wang (University of California San Diego)
• Integrating form-finding and evolutionary optimization for gridshell construction
  *J. Melchiorre (Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino), A. Manuello Bertetto (Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino), P. Trovalusci (Department of Structural and Geotechnical Engineering, Sapienza Università di Roma)