Zachary M. Prince

According to our database, Zachary M. Prince authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

MOOSEnger - a Domain-Specific AI Agent for the MOOSE Ecosystem.

Mengnan Li, Jason M. Miller, Zachary M. Prince, Alexander D. Lindsay, Cody J. Permann

CoRR, March, 2026

MOOSE StochasticControl: A python interface for black-box optimization with MOOSE-based simulations.

Zachary M. Prince, Logan H. Harbour, Lynn Munday

SoftwareX, 2026

MOOSE ProbML: Parallelized probabilistic machine learning and uncertainty quantification for computational energy applications.

Somayajulu L. N. Dhulipala, Peter German, Yifeng Che, Zachary M. Prince, Xianjian Xie, Pierre-Clément A. Simon, Vincent M. Laboure, Hao Yan

J. Comput. Sci., 2026

2025

4.0 MOOSE: Enabling massively parallel Multiphysics simulation.

Logan H. Harbour, Guillaume L. Giudicelli, Alexander D. Lindsay, Peter German, Joshua Hansel, Casey Icenhour, Mengnan Li, Jason M. Miller, Roy H. Stogner, Patrick Behne, Daniel Yankura, Zachary M. Prince, Corey DeChant, Daniel Schwen, Benjamin W. Spencer, Mauricio Tano, Namjae Choi, Yaqi Wang, Max Nezdyur, Yinbin Miao, Tianchen Hu, Shikhar Kumar, Christopher Matthews, Brandon Langley, Nuno Nobre, Alexander Blair, Chris Macmackin, Henrique Bergallo Rocha, Edward Palmer, Jesse Carter, Jörg Meier, Andrew E. Slaughter, David Andrs, Robert W. Carlsen, Fande Kong, Derek R. Gaston, Cody J. Permann

SoftwareX, 2025

2024

MOOSE Optimization Module: Physics-constrained optimization.

Zachary M. Prince, Lynn Munday, Dewen Yushu, Max Nezdyur, Murthy N. Guddati

SoftwareX, 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

Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation.

Somayajulu L. N. Dhulipala, Michael D. Shields, Promit Chakroborty, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Vincent M. Laboure, Zachary M. Prince, Chandrakanth Bolisetti, Yifeng Che

Reliab. Eng. Syst. Saf., 2022