| 2.0-MOOSE: Enabling massively parallel multiphysics simulation AD Lindsay, DR Gaston, CJ Permann, JM Miller, D Andrš, AE Slaughter, ... SoftwareX 20, 101202, 2022 | 187 | 2022 |
| Reduced-order modeling of parameterized multi-group diffusion k-eigenvalue problems P German, JC Ragusa Annals of Nuclear Energy 134, 144-157, 2019 | 60 | 2019 |
| 3.0-MOOSE: Enabling massively parallel multiphysics simulations G Giudicelli, A Lindsay, L Harbour, C Icenhour, M Li, JE Hansel, ... SoftwareX 26, 101690, 2024 | 52 | 2024 |
| Application of multiphysics model order reduction to doppler/neutronic feedback P German, JC Ragusa, C Fiorina EPJ Nuclear Sciences & Technologies 5, 17, 2019 | 34 | 2019 |
| MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations AE Slaughter, ZM Prince, P German, I Halvic, W Jiang, BW Spencer, ... SoftwareX 22, 101345, 2023 | 27 | 2023 |
| Moose navier–stokes module A Lindsay, G Giudicelli, P German, J Peterson, Y Wang, R Freile, D Andrs, ... SoftwareX 23, 101503, 2023 | 21 | 2023 |
| GeN-ROM—An OpenFOAM®-based multiphysics reduced-order modeling framework for the analysis of Molten Salt Reactors P German, M Tano, C Fiorina, JC Ragusa Progress in Nuclear Energy 146, 104148, 2022 | 19 | 2022 |
| Comparison of Reduced-Basis techniques for the model order reduction of parametric incompressible fluid flows P German, M Tano, JC Ragusa, C Fiorina Progress in Nuclear Energy 130, 103551, 2020 | 14 | 2020 |
| 2.0–MOOSE: Enabling massively parallel multiphysics simulation, SoftwareX, 20, 101202 AD Lindsay, DR Gaston, CJ Permann, JM Miller, D Andrš, AE Slaughter, ... | 10 | 2022 |
| Reduced-order modeling of parametrized multi-physics computations for the molten salt fast reactor P German, JC Ragusa, C Fiorina, MT Retamales 2019 International Conference on Mathematics and Computational Methods …, 2019 | 8 | 2019 |
| Data-driven reduced-order modeling of convective heat transfer in porous media P German, ME Tano, C Fiorina, JC Ragusa Fluids 6 (8), 266, 2021 | 7 | 2021 |
| Fast and accurate reduced-order modeling of a MOOSE-based additive manufacturing model with operator learning M Yaseen, D Yushu, P German, X Wu The International Journal of Advanced Manufacturing Technology 129 (7), 3123 …, 2023 | 6 | 2023 |
| Enabling scientific machine learning in MOOSE using Libtorch P German, D Yushu SoftwareX 23, 101489, 2023 | 6 | 2023 |
| Evaluation of pressure reconstruction techniques for Model Order Reduction in incompressible convective heat transfer M Tano, P German, J Ragusa Thermal Science and Engineering Progress 23, 100841, 2021 | 6 | 2021 |
| Improvement of numerical methods in pronghorn AD Lindsay, ME Tano Retamales, GL Giudicelli, P German, S Schunert Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2021 | 4 | 2021 |
| Reduced-order modeling of coupled neutronics and fluid dynamics in the zero-power molten salt fast reactor P German, ME Tano, JC Ragusa 2021 International Conference on Mathematics and Computational Methods …, 2021 | 4 | 2021 |
| Massively parallel bayesian model calibration and uncertainty quantification with applications to nuclear fuels and materials SLN Dhulipala, D Schwen, Y Che, RT Sweet, A Toptan, ZM Prince, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 3 | 2023 |
| Reduced-order modeling of fluid flows in closed-loop systems P German, ME Tano, JC Ragusa, C Fiorina Transactions of the American Nuclear Society 121, 1762-1764, 2019 | 3 | 2019 |
| Development of Segregated Thermal-Hydraulics Solvers in MOOSE P German, AD Lindsay, ME Tano Retamales, RO Freile, S Schunert, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | 2 | 2024 |
| Analysis of heat source distribution in internal circulating surface heat transfer molten salt reactor P German, S Fehér, S Czifrus, B Yamaji Progress in Nuclear Energy 92, 155-163, 2016 | 2 | 2016 |
