Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials S Chun, S Roy, YT Nguyen, JB Choi, HS Udaykumar, SS Baek Scientific reports 10 (1), 13307, 2020 | 98 | 2020 |
Unsupervised Learning-Based Multiscale Model of Thermochemistry in 1, 3, 5-Trinitro-1, 3, 5-triazinane (RDX) MN Sakano, A Hamed, EM Kober, N Grilli, BW Hamilton, MM Islam, ... The Journal of Physical Chemistry A 124 (44), 9141-9155, 2020 | 49 | 2020 |
Modeling mesoscale energy localization in shocked HMX, Part II: training machine-learned surrogate models for void shape and void–void interaction effects S Roy, NK Rai, O Sen, DB Hardin, AS Diggs, HS Udaykumar Shock Waves 30 (4), 349-371, 2020 | 30 | 2020 |
Structure–property–performance linkages for heterogenous energetic materials through multi-scale modeling S Roy, O Sen, NK Rai, M Moon, E Welle, C Molek, KK Choi, ... Multiscale and Multidisciplinary Modeling, Experiments and Design 3, 265-293, 2020 | 21 | 2020 |
Thermodynamic analysis of compression ignition engine using neat Karanja oil under varying compression ratio MK Rath, SK Acharya, S Roy International Journal of Ambient Energy 37 (1), 94-102, 2016 | 17 | 2016 |
Structure–property linkage in shocked multi-material flows using a level-set-based Eulerian image-to-computation framework S Roy, NK Rai, O Sen, HS Udaykumar Shock Waves 30 (5), 443-472, 2020 | 16 | 2020 |
Exergy and energy analysis of diesel engine using karanja methyl ester under varying compression ratio M Rath, S Acharya International Journal of Engineering 27 (8), 1259-1268, 2014 | 13 | 2014 |
Meso-scale simulation of energetic materials. I. A method for generating synthetic microstructures using deep feature representations S Roy, YT Nguyen, C Neal, S Baek, HS Udaykumar Journal of Applied Physics 131 (5), 2022 | 5 | 2022 |
Multiscale Multidiscip S Roy, O Sen, NK Rai, M Moon, E Welle, C Molek, KK Choi, ... Model. Exp. Des 3, 265, 2020 | 5 | 2020 |
Modeling meso-scale energy localization in shocked HMX, Part II: machine learned surrogate models for void interactions and void shape effects S Roy, NK Rai, O Sen, HS Udaykumar Phys. Rev. Fluids, 0 | 5 | |
Effect of local void morphology on the reaction initiation mechanism in the case of pressed HMX S Roy, N Rai, HS Udaykumar APS Shock Compression of Condensed Matter Meeting Abstracts, M9. 030, 2017 | 2 | 2017 |
Establishing structure-property-performance linkages for energetic materials S Roy, O Sen, N Rai, MY Moon, K Choi, C Molek, E Welle, A Diggs, ... Bulletin of the American Physical Society 64, 2019 | 1 | 2019 |
Vertical federated learning platform and methods for using same S Wagh, K Chopra, ROY Sidhartha, S Pathak, NK Singh US Patent App. 18/191,583, 2024 | | 2024 |
Federated learning platform and methods for using same S Wagh, K Chopra, ROY Sidhartha US Patent App. 18/447,874, 2024 | | 2024 |
Federated learning platform and methods for using same K Chopra, ROY Sidhartha US Patent App. 17/671,314, 2022 | | 2022 |
Shocked into Shock: Cardioversion-Induced Shock with Multi-Organ Injury M Freedman, K Kapoor, S Roy Cardiol Vasc Res 6 (2), 1-5, 2022 | | 2022 |
Structure-property-performance linkage using machine learning based multiscale models for shocked heterogenous materials S Roy The University of Iowa, 2020 | | 2020 |
Meso-Informed Scaled Unified Reactive Front (MISURF) burn model for the shock response of pressed HMX S Lee, O Sen, S Roy, HS Udaykumar Bulletin of the American Physical Society 64, 2019 | | 2019 |
A framework for propagation of uncertainties from meso-to continuum scale computational models for shock-to-detonation transition in energetic materials. O Sen, S Roy, S Lee, N Rai, MY Moon, KK Choi, HS Udaykumar Bulletin of the American Physical Society 64, 2019 | | 2019 |
Morphological effects on sensitivity of heterogeneous energetic materials S Roy, N Rai, O Sen, HS Udaykumar APS Shock Compression of Condensed Matter Meeting Abstracts, S2. 005, 2017 | | 2017 |