Andrew E. Slaughter

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

3.0 - MOOSE: Enabling massively parallel multiphysics simulations.

Guillaume 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

SoftwareX, 2024

2023

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

Andrew E. Slaughter, Zachary M. Prince, Peter German, Ian Halvic, Wen Jiang, Benjamin W. Spencer, Somayajulu L. N. Dhulipala, Derek R. Gaston

SoftwareX, May, 2023

2022

2.0 - MOOSE: Enabling massively parallel multiphysics simulation.

Alexander D. Lindsay, Derek R. Gaston, Cody J. Permann, Jason M. Miller, David Andrs, Andrew E. Slaughter, Fande Kong, Joshua Hansel, Robert W. Carlsen, Casey Icenhour, Logan H. Harbour, Guillaume L. Giudicelli, Roy H. Stogner, Peter German, Jacob C. Badger, Sudipta Biswas, Leora Chapuis, Christopher Green, Jason D. Hales, Tianchen Hu, Wen Jiang, Yeon Sang Jung, Christopher Matthews, Yinbin Miao, April Novak, John W. Peterson, Zachary M. Prince, Andrea Rovinelli, Sebastian Schunert, Daniel Schwen, Benjamin W. Spencer, Swetha Veeraraghavan, Antonio M. Recuero, Dewen Yushu, Yaqi Wang, Andy H. Wilkins, Christopher Wong

SoftwareX, December, 2022

Active learning with multifidelity modeling for efficient rare event simulation.

Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty

J. Comput. Phys., 2022

2020

MOOSE: Enabling massively parallel multiphysics simulation.

Cody 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

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.

Fande Kong, Yaqi Wang, Derek R. Gaston, Cody J. Permann, Andrew E. Slaughter, Alexander D. Lindsay, Mark DeHart, Richard C. Martineau

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.

Fande Kong, Yaqi Wang, Derek R. Gaston, Cody J. Permann, Andrew E. Slaughter, Alexander D. Lindsay, Richard C. Martineau

CoRR, 2019

2018

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

Fande Kong, Roy H. Stogner, Derek Gaston, John W. Peterson, Cody J. Permann, Andrew E. Slaughter, Richard C. Martineau

CoRR, 2018