Scheduled presentations:

• Machine-Learning-Based Surrogate Material Models For Elasto-Plasticity And Elasto-Damage
  C. Fricke*, M. Luxner, L. Peyker, L. Mitrovic, H. Pettermann
• Effective application of hybrid material modeling for topology optimization of multiphase hyperelastic composites
  H. Vijayakumaran*, J. Russ, G. Paulino, M. Bessa
• A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
  J. Storm*, I. Rocha, F. van der Meer
• Improving the Production Accuracy of the Tailored Fiber Placement Process Through a Machine-Learning Algorithm
  L. Bittrich*, E. de Menezes, M. Woestmann, A. Miene, L. Echer, A. Spickenheuer
• Machine learning model for correlating microstructural features and macroscopic properties of heterogeneous composites
  C. Shen, H. Zhao*, R. Mu, A. Wang, K. Wang