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Zachary Prince
Zachary Prince
PhD Candidate, Texas A&M University
Verified email at tamu.edu
Title
Cited by
Cited by
Year
2.0-MOOSE: Enabling massively parallel multiphysics simulation
AD Lindsay, DR Gaston, CJ Permann, JM Miller, D Andrš, AE Slaughter, ...
SoftwareX 20, 101202, 2022
852022
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
592021
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
58*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
222019
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
172022
Application of proper generalized decomposition to multigroup neutron diffusion eigenvalue calculations
ZM Prince, JC Ragusa
Progress in Nuclear Energy 121, 103232, 2020
162020
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
142022
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
142022
Multiphysics reactor-core simulations using the improved quasi-static method
ZM Prince, JC Ragusa
Annals of Nuclear Energy 125, 186-200, 2019
142019
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
112019
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
92023
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
92016
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
82021
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
82020
Space-energy separated representations for multigroup neutron diffusion using proper generalized decompositions
ZM Prince, JC Ragusa
Annals of Nuclear Energy 142, 107360, 2020
82020
Griffin user manual
M DeHart, FN Gleicher, V Laboure, J Ortensi, Z Prince, S Schunert, ...
INL/EXT-19-54247, 2020
82020
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
82016
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
52023
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
52019
Improved quasi-static methods for time-dependent neutron diffusion and implementation in Rattlesnake
ZM Prince
42017
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Articles 1–20