MS145A Machine and Deep Learning Techniques Applied to Computational Mechanics I
MS Corresponding Organizer: Prof. Jorge Belinha (ISEP-INEGI)
Chaired by:
Prof. Jorge Belinha (ISEP-INEGI , Portugal) , Prof. Sergio Tavares (Universidade de Aveiro , Portugal)
Prof. Jorge Belinha (ISEP-INEGI , Portugal) , Prof. Sergio Tavares (Universidade de Aveiro , Portugal)
Scheduled presentations:
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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 -
Physics Informed Neural Networks for hyperelasticty in soft solids
V. Pratap*, 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