NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. - Sehyun Chun; Nima Hamidi Ghalehjegh; Joseph B. Choi; Chris Schwarz 001; John G. Gaspar; Daniel V. McGehee; Stephen S. Baek (ICCV Workshops, 2019)

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)

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)

Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions. - Joseph B. Choi; Phong C. H. Nguyen; Oishik Sen; H. S. Udaykumar; Stephen Baek (CoRR, 2022)

Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. - Phong C. H. Nguyen; Joseph B. Choi; H. S. Udaykumar; Stephen Baek (J. Comput. Inf. Sci. Eng., 2023)

FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements. - Phong C. H. Nguyen; Joseph B. Choi; Quang-Trung Luu (CoRR, 2024)

FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements. - Hiep Vo Dang; Joseph B. Choi; Phong C. H. Nguyen (CoRR, 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)