Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. - Sehyun Chun; Sidhartha Roy; Yen Thi Nguyen; Joseph B. Choi; H. S. Udaykumar; Stephen S. Baek (CoRR, 2020)

Impact of leadership's perspective on the effectiveness of operational risk management at the Vietnamese commercial banks. - Yen Thi Nguyen (ICRMAT, 2022)

Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials. - Phong C. H. Nguyen; Joseph B. Choi; Yen Thi Nguyen; Pradeep K. Seshadri; H. S. Udaykumar; Stephen Baek (CoRR, 2022)

A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials. - Phong C. H. Nguyen; Yen Thi Nguyen; Pradeep K. Seshadri; Joseph B. Choi; H. S. Udaykumar; Stephen Baek (CoRR, 2022)

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. - Phong C. H. Nguyen; Xinlun Cheng; Shahab Azarfar; Pradeep K. Seshadri; Yen Thi Nguyen; Munho Kim; Sanghun Choi; H. S. Udaykumar; Stephen Baek (ICML, 2024)

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material. - Shahab Azarfar; Joseph B. Choi; Phong C. H. Nguyen; Yen Thi Nguyen; Pradeep K. Seshadri; H. S. Udaykumar; Stephen Baek (CoRR, 2025)