most citedA physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

1 paper · 1 filter

cond-mat.mtrl-sci2025

Reduced Order Modeling of Energetic Materials Using Physics-Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Zoë J. Gray, Joseph B. Choi, Youngsoo Choi +3

Physics-aware deep learning (PADL) has gained popularity for use in complex spatiotemporal dynamics (field evolution) simulations, such as those that arise frequently in computatio…