Andrew E. Slaughter

Orcid: 0000-0002-4935-6812

According to our database1, Andrew E. Slaughter authored at least 8 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
3.0 - MOOSE: Enabling massively parallel multiphysics simulations.
SoftwareX, 2024

2023
MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations.
SoftwareX, May, 2023

2022
2.0 - MOOSE: Enabling massively parallel multiphysics simulation.
SoftwareX, December, 2022

Active learning with multifidelity modeling for efficient rare event simulation.
J. Comput. Phys., 2022

2020
MOOSE: Enabling massively parallel multiphysics simulation.
SoftwareX, 2020

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.
SIAM J. Sci. Comput., 2020

2019
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.
CoRR, 2019

2018
A general-purpose hierarchical mesh partitioning method with node balancing strategies for large-scale numerical simulations.
CoRR, 2018


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