MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations - researchr publication related

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Andrew E. Slaughter, Zachary M. Prince, Peter German, Ian Halvic, Wen Jiang 0003, Benjamin W. Spencer, Somayajulu L. N. Dhulipala, Derek R. Gaston. MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations. SoftwareX, 22:101345, May 2023. [doi]

The following publications are possibly variants of this publication:

MOOSE: Enabling massively parallel multiphysics simulationCody J. Permann, Derek R. Gaston, David Andrs, Robert W. Carlsen, Fande Kong, Alexander D. Lindsay, Jason M. Miller, John W. Peterson, Andrew E. Slaughter, Roy H. Stogner, Richard C. Martineau. softx, 11:100430, 2020. [doi]

3.0 - MOOSE: Enabling massively parallel multiphysics simulationsGuillaume L. Giudicelli, Alexander D. Lindsay, Logan H. Harbour, Casey Icenhour, Mengnan Li, Joshua Hansel, Peter German, Patrick Behne, Oana Marin, Roy H. Stogner, Jason M. Miller, Daniel Schwen, Yaqi Wang, Lynn Munday, Sebastian Schunert, Benjamin W. Spencer, Dewen Yushu, Antonio M. Recuero, Zachary M. Prince, Max Nezdyur, Tianchen Hu, Yinbin Miao, Yeon Sang Jung, Christopher Matthews, April Novak, Brandon Langley, Timothy J. Truster, Nuno Nobre, Brian Alger, David Andrs, Fande Kong, Robert W. Carlsen, Andrew E. Slaughter, John W. Peterson, Derek Gaston, Cody J. Permann. softx, 26:101690, 2024. [doi]

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