Scheduled presentations:

• Attention-based Point Cloud Networks for 3D Solid Mechanics Simulation
  *R. Narkhede (Procter & Gamble service GmbH), M. Makki (University of California, Riverside), S. Chandran (University of California, Riverside), M. Raissi (University of California, Riverside), B. Mohebbi (Procter & Gamble service GmbH)
• Learning Transient Rheology in Segregating Granular Flows
  *H. Menon (Ecole Polytechnique Federale de Lausanne), G. Anantha Padmanabha (Ecole Polytechnique Federale de Lausanne), K. Karapiperis (Ecole Polytechnique Federale de Lausanne)
• Data-Driven Forecasting of Geophysical Mass Movements
  *G. Anantha Padmanabha (École Polytechnique Fédérale de Lausanne), L. Blatny (Eidgenössische Technische Hochschule Zürich), J. Gaume (Eidgenössische Technische Hochschule Zürich), K. Karapiperis (École Polytechnique Fédérale de Lausanne)
• Patch-Based Modelling of Turbulent Flows using Graph Neural Networks
  *V. Ravishankar (Fraunhofer SCAI), C. Gscheidle (Fraunhofer SCAI), J. Garcke (Fraunhofer SCAI)
• A Data-Driven Approach for Incompressible Flow in Hydraulic Networks
  *P. Balbão Bazon (University of São Paulo (ICMC)), R. Ausas (University of São Paulo (ICMC)), C. Gebhardt (University of Bergen)
• Machine Learning for Predicting Hydrogen-Assisted Fatigue Crack Growth in Pipeline Steels
  *P. Aduwenye (LUT University), F. Šebek (Brno University of Technology), H. Yeddu (LUT University)