H. S. Udaykumar
Orcid: 0000-0002-3655-1483
According to our database1,
H. S. Udaykumar
authored at least 13 papers
between 2013 and 2024.
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Bibliography
2024
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling.
J. Comput. Inf. Sci. Eng., December, 2023
2022
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions.
CoRR, 2022
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials.
CoRR, 2022
Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials.
CoRR, 2022
2020
A sharp-interface method for the simulation of shock-induced vaporization of droplets.
J. Comput. Phys., 2020
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.
CoRR, 2020
2019
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., 2019
2018
Evaluation of multifidelity surrogate modeling techniques to construct closure laws for drag in shock-particle interactions.
J. Comput. Phys., 2018
2017
Evaluation of kriging based surrogate models constructed from mesoscale computations of shock interaction with particles.
J. Comput. Phys., 2017
2015
Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation.
J. Comput. Phys., 2015
2013
Simulation of high speed impact, penetration and fragmentation problems on locally refined Cartesian grids.
J. Comput. Phys., 2013
A three-dimensional sharp interface Cartesian grid method for solving high speed multi-material impact, penetration and fragmentation problems.
J. Comput. Phys., 2013