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

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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…