PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials

4 April 2022

Papers citing "PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials"

4 / 4 papers shown

Title
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction Robert Appleton Brian C Barnes Alejandro Strachan FedML AI4CE 32 0 0 09 Apr 2025
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials Robert Appleton Daniel J. Klinger Brian H. Lee Michael Taylor Sohee Kim Samuel Blankenship Brian C Barnes Steven F. Son Alejandro Strachan 26 1 0 21 Aug 2024
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling Phong C. H. Nguyen Xinlun Cheng Shahab Azarfar P. Seshadri Y. Nguyen Munho Kim Sanghun Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE PINN 33 1 0 19 Feb 2024
Challenges and opportunities for machine learning in multiscale computational modeling Phong C. H. Nguyen Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 22 8 0 22 Mar 2023