关注
Sidhartha Roy
Sidhartha Roy
Research Scientist at ProtopiaAI
在 uiowa.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
982020
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
492020
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
302020
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
212020
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
172016
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
162020
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
132014
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
52022
Multiscale Multidiscip
S Roy, O Sen, NK Rai, M Moon, E Welle, C Molek, KK Choi, ...
Model. Exp. Des 3, 265, 2020
52020
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
22017
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
12019
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
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