2 papers
physics.comp-ph2026
A comparative study of transformer models and recurrent neural networks for path-dependent composite materials
Petter Uvdal, Mohsen Mirkhalaf
Accurate modeling of Short Fiber Reinforced Composites (SFRCs) remains computationally expensive for full-field simulations. Data-driven surrogate models using Artificial Neural Ne…
cs.CE2024
Test-time data augmentation: improving predictions of recurrent neural network models of composites
Petter Uvdal, Mohsen Mirkhalaf
Recurrent Neural Networks (RNNs) have emerged as an interesting alternative to conventional material modeling approaches, particularly for nonlinear path dependent materials. Remar…