H. S. Udaykumar

19 papers A* 1Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Size is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep Learning.
CoRR
Jack T. Beerman, Shobhan Roy, H. S. Udaykumar, Stephen S. Baek
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 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
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
A sharp-interface method for the simulation of shock-induced vaporization of droplets.
J. Comput. Phys.
Pratik Das, H. S. Udaykumar
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 J jnl
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.
Søren Taverniers, H. S. Udaykumar, Gustaaf B. Jacobs
2018 J jnl
Evaluation of multifidelity surrogate modeling techniques to construct closure laws for drag in shock-particle interactions.
J. Comput. Phys.
Oishik Sen, Nicholas J. Gaul, K. K. Choi, Gustaaf Jacobs, H. S. Udaykumar
2017 J jnl
Evaluation of kriging based surrogate models constructed from mesoscale computations of shock interaction with particles.
J. Comput. Phys.
Oishik Sen, Nicholas J. Gaul, K. K. Choi, Gustaaf Jacobs, H. S. Udaykumar
2015 J jnl
Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation.
J. Comput. Phys.
Oishik Sen, Sean Davis, Gustaaf Jacobs, H. S. Udaykumar
2013 J jnl
A three-dimensional sharp interface Cartesian grid method for solving high speed multi-material impact, penetration and fragmentation problems.
J. Comput. Phys.
A. Kapahi, S. Sambasivan, H. S. Udaykumar
2013 J jnl
Simulation of high speed impact, penetration and fragmentation problems on locally refined Cartesian grids.
J. Comput. Phys.
S. Sambasivan, A. Kapahi, H. S. Udaykumar