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Active learning with multifidelity modeling for efficient rare event simulation., , , , , , and . J. Comput. Phys., (2022)Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation., , , , , , and . CoRR, (2021)MOOSE: Enabling Massively Parallel Multiphysics Simulation., , , , , , , , , and 1 other author(s). CoRR, (2019)MOOSE: Enabling massively parallel multiphysics simulation., , , , , , , , , and 1 other author(s). SoftwareX, (2020)MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations., , , , , , , and . SoftwareX, (May 2023)A Highly Parallel Multilevel Newton-Krylov-Schwarz Method with Subspace-Based Coarsening and Partition-Based Balancing for the Multigroup Neutron Transport Equation on Three-Dimensional Unstructured Meshes., , , , , , , and . SIAM J. Sci. Comput., 42 (5): C193-C220 (2020)A highly parallel multilevel Newton-Krylov-Schwarz method with subspace-based coarsening and partition-based balancing for the multigroup neutron transport equations on 3D unstructured meshes., , , , , , and . CoRR, (2019)A general-purpose hierarchical mesh partitioning method with node balancing strategies for large-scale numerical simulations., , , , , , and . CoRR, (2018)2.0 - MOOSE: Enabling massively parallel multiphysics simulation., , , , , , , , , and 27 other author(s). SoftwareX, (December 2022)