Phong C. H. Nguyen

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction From Sparse Sensor Measurements.
J. Comput. Inf. Sci. Eng.
Hiep Vo Dang, Phong C. H. Nguyen
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
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
2024 A* conf
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling.
ICML
Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek
2024 J jnl
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling.
CoRR
Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek
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
2023 J jnl
Characterization and design of two-dimensional multi-morphology cellular structures for desired deformation.
J. Comput. Des. Eng.
Youngdoo Kim, Phong C. H. Nguyen, Hoon Kim, Hae-Jin Choi, Young Choi
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