Scheduled presentations:

• Scientific Machine Learning for Nonlinear Aeroelastic Applications
  *Y. Li (Imperial College London), U. Fasel (Imperial College London)
• Data-driven governing equation inference of weakly nonlinear oscillators
  *T. Ma (Politecnico di Milano), L. Rosafalco (Politecnico di Milano), W. Cui (Tongji University), L. Zhao (Tongji University), A. Frangi (Politecnico di Milano)
• Physics-Informed Neural Networks for Joint State and Parameter Inference in Nonlinear Dynamical Systems: Application to Microbial Community Dynamics
  *L. Sala (MaIAGE, INRAE)
• Reduced-Order Discovery and Joint State-Model Tracking of High-Dimensional Dynamical Systems
  *C. Santillán Moreno (Lund University), L. Rosafalco (Politecnico di Milano (DICA)), P. Conti (The Alan Turing Institute), A. Manzoni (Politecnico di Milano (MOX)), A. Frangi (Politecnico di Milano (DICA))
• Neural Markov chain Monte Carlo: Likelihood density estimation via normalizing flows and variational autoencoders
  *G. Bottacini (Politecnico di Milano), M. Torzoni (Politecnico di Milano), A. Manzoni (Politecnico di Milano)
• Machine Learning-Enhanced Variable-Node Substructure Element for Efficient Analysis and Optimal Design
  *C. Ni (大连理工大学), Y. Liang (大连理工大学), X. Guo (大连理工大学)