Scheduled presentations:

• Implementing a Dual-Phase Machine Learning Strategy to Develop ANN-Based Constitutive Models
  A. Tariq*, B. Deliktaş
• Variational Physics-Informed Neural Networks for Non-smooth Differential Equations in Solid Mechanics
  N. Radin*, S. Klinkel, O. Altay
• Hyperparameter Optimization for Causal Marching Physics Informed Neural Network for Hyperelasticity
  V. Pratap*, M. Gilchrist, B. Tripathi
• Solving Forward and Inverse Problems of Solid Mechanics using Variational Physics-Informed Neural Networks
  T. Sahin*, A. Popp
• Advances in modeling relative permeability curves under salinity effects using artificial neural networks
  V. Czarnobay*, L. Lamas, D. Sebrão, L. Hegele Jr