Scheduled presentations:

• Physics-Informed Multiscale Machine Learning of Heat Transfer in Composite Materials for Correlating Microstructural Features Using MS-PINN and FD-U-Net
  *H. Zhao (University of Chinese Academy of Sciences), C. Shen (University of Chinese Academy of Sciences)
• Closed-Loop Multiscale Bayesian Design of Defect-Engineered Monolayer Graphene
  *J. Bo (Institute of Science Tokyo), X. Lei (Institute of Science Tokyo), T. Lu (Institute of Science Tokyo), T. Fujii (Institute of Science Tokyo)
• Stochastic Reconfiguration with Warm-Started SVD
  *D. Zhou (Beijing Normal University), H. Chen (Beijing Normal University), C. Ho (University of British Columbia), X. Liu (Chinese Academy of Sciences), C. Ortner (University of British Columbia)
• Investigating amorphization as a deformation mechanism using a novel phase field model at the mesoscale
  Y. Huang (The Hong Kong University of Science and Techn), *S. Dai (Wuhan University), C. Chen (The Hong Kong University of Science and Techn), Y. Xiang (The Hong Kong University of Science and Techn)
• Automated learning of multiscale models
  *M. Hodapp (Materials Center Leoben Forschung GmbH), G. Anciaux (Ecole Polytechnique Federale de Lausanne)