2.0-MOOSE: Enabling massively parallel multiphysics simulation AD Lindsay, DR Gaston, CJ Permann, JM Miller, D Andrš, AE Slaughter, ... SoftwareX 20, 101202, 2022 | 109 | 2022 |
Griffin software development plan C Lee, YS Jung, H Park, ER Shemon, J Ortensi, Y Wang, VM Labouré, ... Idaho National Lab.(INL), Idaho Falls, ID (United States); Argonne National …, 2021 | 65* | 2021 |
Rattlesnake: A MOOSE-based multiphysics multischeme radiation transport application Y Wang, S Schunert, J Ortensi, V Laboure, M DeHart, Z Prince, F Kong, ... Nuclear Technology 207 (7), 1047-1072, 2021 | 60 | 2021 |
Parametric uncertainty quantification using proper generalized decomposition applied to neutron diffusion ZM Prince, JC Ragusa International Journal for Numerical Methods in Engineering 119 (9), 899-921, 2019 | 22 | 2019 |
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation SLN Dhulipala, MD Shields, P Chakroborty, W Jiang, BW Spencer, ... Reliability Engineering & System Safety 226, 108693, 2022 | 19 | 2022 |
Application of proper generalized decomposition to multigroup neutron diffusion eigenvalue calculations ZM Prince, JC Ragusa Progress in Nuclear Energy 121, 103232, 2020 | 17 | 2020 |
Accelerated statistical failure analysis of multifidelity TRISO fuel models SLN Dhulipala, W Jiang, BW Spencer, JD Hales, MD Shields, ... Journal of Nuclear Materials 563, 153604, 2022 | 15 | 2022 |
Efficient high-fidelity TRISO statistical failure analysis using Bison: Applications to AGR-2 irradiation testing W Jiang, G Singh, JD Hales, A Toptan, BW Spencer, SR Novascone, ... Journal of Nuclear Materials 562, 153585, 2022 | 15 | 2022 |
Multiphysics reactor-core simulations using the improved quasi-static method ZM Prince, JC Ragusa Annals of Nuclear Energy 125, 186-200, 2019 | 14 | 2019 |
Separated representation of spatial dimensions in sn neutron transport using the proper generalized decomposition ZM Prince, JC Ragusa ANS International Conference on Mathematics and Computation (M&C). Portland …, 2019 | 12 | 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 | 11 | 2023 |
Griffin user manual M DeHart, FN Gleicher, V Laboure, J Ortensi, Z Prince, S Schunert, ... INL/EXT-19-54247, 2020 | 11 | 2020 |
Space-energy separated representations for multigroup neutron diffusion using proper generalized decompositions ZM Prince, JC Ragusa Annals of Nuclear Energy 142, 107360, 2020 | 9 | 2020 |
Implementation of the improved quasi-static method in rattlesnake/moose for time-dependent radiation transport modelling ZM Prince, JC Ragusa, Y Wang Idaho National Lab.(INL), Idaho Falls, ID (United States), 2016 | 9 | 2016 |
Performance improvements for the Griffin transport solvers Y Wang, ZM Prince, JT Hanophy, C Lee, YS Jung, H Park, LH Harbour, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2021 | 8 | 2021 |
A diffusion synthetic acceleration approach to k-eigenvalue neutron transport using PJFNK Z Prince, Y Wang, L Harbour Annals of Nuclear Energy 148, 107714, 2020 | 8 | 2020 |
Preliminary results for the oecd/nea time dependent benchmark using rattlesnake, rattlesnake-iqs and tdkeno MD DeHart, Z Mausolff, Z Weems, D Popp, K Smith, F Shriver, S Goluoglu, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2016 | 8 | 2016 |
Automated power-following control for nuclear thermal propulsion startup and shutdown using MOOSE-based applications VM Labouré, S Schunert, S Terlizzi, ZM Prince, J Ortensi, CS Lin, ... Progress in Nuclear Energy 161, 104710, 2023 | 5 | 2023 |
Proper generalized decomposition of multigroup neutron diffusion with seperated space-energy representation ZM Prince, JC Ragusa Proc. of Int. Conf. on Mathematics and Computational Methods Applied to …, 2019 | 5 | 2019 |
Improved quasi-static methods for time-dependent neutron diffusion and implementation in Rattlesnake ZM Prince | 4 | 2017 |