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Journal Articles
- 2023
[j8]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)- 2020
- [j7]Pratik Das
, H. S. Udaykumar:
A sharp-interface method for the simulation of shock-induced vaporization of droplets. J. Comput. Phys. 405: 109005 (2020) - 2019
- [j6]Søren Taverniers, H. S. Udaykumar, Gustaaf B. Jacobs:
Two-way coupled Cloud-In-Cell modeling of non-isothermal particle-laden flows: A Subgrid Particle-Averaged Reynolds Stress-Equivalent (SPARSE) formulation. J. Comput. Phys. 390: 595-618 (2019) - 2018
- [j5]Oishik Sen, Nicholas J. Gaul, K. K. Choi, Gustaaf Jacobs, H. S. Udaykumar:
Evaluation of multifidelity surrogate modeling techniques to construct closure laws for drag in shock-particle interactions. J. Comput. Phys. 371: 434-451 (2018) - 2017
- [j4]Oishik Sen, Nicholas J. Gaul, K. K. Choi, Gustaaf Jacobs, H. S. Udaykumar:
Evaluation of kriging based surrogate models constructed from mesoscale computations of shock interaction with particles. J. Comput. Phys. 336: 235-260 (2017) - 2015
- [j3]Oishik Sen, Sean Davis, Gustaaf Jacobs, H. S. Udaykumar:
Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation. J. Comput. Phys. 294: 585-604 (2015) - 2013
- [j2]S. Sambasivan, A. Kapahi, H. S. Udaykumar:
Simulation of high speed impact, penetration and fragmentation problems on locally refined Cartesian grids. J. Comput. Phys. 235: 334-370 (2013) - [j1]A. Kapahi, S. Sambasivan, H. S. Udaykumar:
A three-dimensional sharp interface Cartesian grid method for solving high speed multi-material impact, penetration and fragmentation problems. J. Comput. Phys. 241: 308-332 (2013)
Informal and Other Publications
- 2024
- [i6]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 abs/2402.12503 (2024) - 2023
- [i5]Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek:
Challenges and opportunities for machine learning in multiscale computational modeling. CoRR abs/2303.12261 (2023) - 2022
- [i4]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 abs/2204.07234 (2022) - [i3]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 abs/2211.04561 (2022) - [i2]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 abs/2211.08179 (2022) - 2020
- [i1]Sehyun Chun, Sidhartha Roy, Yen Thi Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen S. Baek:
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. CoRR abs/2004.04814 (2020)
Coauthor Index
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