Joseph B. Choi

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials. CoRR Xinlun Cheng, Bingzhe Chen, Joseph B. Choi, Yen Thi Nguyen, Pradeep K. Seshadri, Mayank Verma, H. S. Udaykumar, Stephen Baek
2025	J	`jnl`	Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material. CoRR Shahab Azarfar, Joseph B. Choi, Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek
2025	J	`jnl`	Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows. CoRR Xinlun Cheng, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2024	J	`jnl`	FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements. CoRR Phong C. H. Nguyen, Joseph B. Choi, Quang-Trung Luu
2024	J	`jnl`	FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements. CoRR Hiep Vo Dang, Joseph B. Choi, Phong C. H. Nguyen
2023	J	`jnl`	Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. J. Comput. Inf. Sci. Eng. Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2023	J	`jnl`	Challenges and opportunities for machine learning in multiscale computational modeling. CoRR Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2022	J	`jnl`	A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials. CoRR Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
2022	J	`jnl`	Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions. CoRR Joseph B. Choi, Phong C. H. Nguyen, Oishik Sen, H. S. Udaykumar, Stephen Baek
2022	J	`jnl`	Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials. CoRR Phong C. H. Nguyen, Joseph B. Choi, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek
2020	J	`jnl`	Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. CoRR Sehyun Chun, Sidhartha Roy, Yen Thi Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen S. Baek
2019	—	`conf`	NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. ICCV Workshops Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek
2019	J	`jnl`	NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. CoRR Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek