activity
20232026
most citedAugmentation of scarce data -- a new approach for deep-learning modeling of composites

5 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

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…