collaborators

6 papers

cs.LG2026

G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes

Jack T. Beerman, Tyler J. Abele, Mehdi Taghizadeh +6

Physics-aware recurrent convolutional networks (PARC) have demonstrated strong performance in predicting nonlinear spatiotemporal dynamics by embedding differential operators direc…

cs.LG2026

Size is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep Learning

Jack T. Beerman, Shobhan Roy, H. S. Udaykumar +1

Physics-aware deep learning (PADL) enables rapid prediction of complex physical systems, yet current convolutional neural network (CNN) architectures struggle with highly nonlinear…

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…

physics.flu-dyn2025

Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows

Xinlun Cheng, Joseph Choi, H. S. Udaykumar +1

We present MRPARCv2, Multi-resolution Physics-Aware Recurrent Convolutional Neural Network, designed to model complex flows by embedding the structure of advection-diffusion-reacti…

cs.LG2025

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

Xinlun Cheng, Bingzhe Chen, Joseph Choi +5

Modeling shock-to-detonation phenomena in energetic materials (EMs) requires capturing complex physical processes such as strong shocks, rapid changes in microstructural morphology…

physics.comp-ph2025

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material

Shahab Azarfar, Joseph B. Choi, Phong CH. Nguyen +4

Coupling of physics across length and time scales plays an important role in the response of microstructured materials to external loads. In a multi-scale framework, unresolved (su…