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Phong C. H. Nguyen
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 7
Top Topics
Artificial Intelligence
Future Directions
Convolutional Neural Networks
Multiscale
Top Venues
CoRR
J. Comput. Des. Eng.
J. Comput. Inf. Sci. Eng.
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Publications
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Phong C. H. Nguyen
,
Xinlun Cheng
,
Shahab Azarfar
,
Pradeep K. Seshadri
,
Yen Thi Nguyen
,
Munho Kim
,
Sanghun Choi
,
H. S. Udaykumar
,
Stephen Baek
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling.
CoRR
(2024)
Phong C. H. Nguyen
,
Joseph B. Choi
,
H. S. Udaykumar
,
Stephen Baek
Challenges and opportunities for machine learning in multiscale computational modeling.
CoRR
(2023)
Phong C. H. Nguyen
,
Joseph B. Choi
,
H. S. Udaykumar
,
Stephen Baek
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling.
J. Comput. Inf. Sci. Eng.
23 (6) (2023)
Youngdoo Kim
,
Phong C. H. Nguyen
,
Hoon Kim
,
Hae-Jin Choi
,
Young Choi
Characterization and design of two-dimensional multi-morphology cellular structures for desired deformation.
J. Comput. Des. Eng.
10 (2) (2023)
Phong C. H. Nguyen
,
Joseph B. Choi
,
Yen Thi Nguyen
,
Pradeep K. Seshadri
,
H. S. Udaykumar
,
Stephen Baek
Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials.
CoRR
(2022)
Phong C. H. Nguyen
,
Yen Thi Nguyen
,
Pradeep K. Seshadri
,
Joseph B. Choi
,
H. S. Udaykumar
,
Stephen Baek
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials.
CoRR
(2022)
Joseph B. Choi
,
Phong C. H. Nguyen
,
Oishik Sen
,
H. S. Udaykumar
,
Stephen Baek
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions.
CoRR
(2022)