A three-dimensional sharp interface Cartesian grid method for solving high speed multi-material impact, penetration and fragmentation problems. - A. Kapahi; S. Sambasivan; H. S. Udaykumar (J. Comput. Phys., 2013)

Simulation of high speed impact, penetration and fragmentation problems on locally refined Cartesian grids. - S. Sambasivan; A. Kapahi; H. S. Udaykumar (J. Comput. Phys., 2013)

Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation. - Oishik Sen; Sean Davis; Gustaaf Jacobs; H. S. Udaykumar (J. Comput. Phys., 2015)

Evaluation of kriging based surrogate models constructed from mesoscale computations of shock interaction with particles. - Oishik Sen; Nicholas J. Gaul; K. K. Choi; Gustaaf Jacobs; H. S. Udaykumar (J. Comput. Phys., 2017)

Evaluation of multifidelity surrogate modeling techniques to construct closure laws for drag in shock-particle interactions. - Oishik Sen; Nicholas J. Gaul; K. K. Choi; Gustaaf Jacobs; H. S. Udaykumar (J. Comput. Phys., 2018)

Two-way coupled Cloud-In-Cell modeling of non-isothermal particle-laden flows: A Subgrid Particle-Averaged Reynolds Stress-Equivalent (SPARSE) formulation. - Søren Taverniers; H. S. Udaykumar; Gustaaf B. Jacobs (J. Comput. Phys., 2019)

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. - Sehyun Chun; Sidhartha Roy; Yen Thi Nguyen; Joseph B. Choi; H. S. Udaykumar; Stephen S. Baek (CoRR, 2020)

A sharp-interface method for the simulation of shock-induced vaporization of droplets. - Pratik Das; H. S. Udaykumar (J. Comput. Phys., 2020)

Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials. - Phong C. H. Nguyen; Joseph B. Choi; Yen Thi Nguyen; Pradeep K. Seshadri; H. S. Udaykumar; Stephen Baek (CoRR, 2022)

A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials. - Phong C. H. Nguyen; Yen Thi Nguyen; Pradeep K. Seshadri; Joseph B. Choi; H. S. Udaykumar; Stephen Baek (CoRR, 2022)

Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions. - Joseph B. Choi; Phong C. H. Nguyen; Oishik Sen; H. S. Udaykumar; Stephen Baek (CoRR, 2022)

Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. - Phong C. H. Nguyen; Joseph B. Choi; H. S. Udaykumar; Stephen Baek (J. Comput. Inf. Sci. Eng., 2023)

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. - Phong C. H. Nguyen; Xinlun Cheng; Shahab Azarfar; Pradeep K. Seshadri; Yen Thi Nguyen; Munho Kim; Sanghun Choi; H. S. Udaykumar; Stephen Baek (ICML, 2024)

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material. - Shahab Azarfar; Joseph B. Choi; Phong C. H. Nguyen; Yen Thi Nguyen; Pradeep K. Seshadri; H. S. Udaykumar; Stephen Baek (CoRR, 2025)