The MOOSE electromagnetics module

Icenhour, Casey T.; Lindsay, Alexander D.; Permann, Cody J.; Martineau, Richard C.; Green, David L.; Shannon, Steven C.

doi:10.1016/j.softx.2023.101621

The MOOSE electromagnetics module

Journal Article · Mon Dec 25 23:00:00 EST 2023 · SoftwareX

DOI:https://doi.org/10.1016/j.softx.2023.101621· OSTI ID:2290370

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Idaho National Laboratory (INL), Idaho Falls, ID (United States); North Carolina State University, Raleigh, NC (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sawtooth Simulation, LLC, Idaho Falls, ID (United States)
Commonwealth Scientific and Industrial Research Organization (CSIRO), Melbourne (Australia)
North Carolina State University, Raleigh, NC (United States)

The Multiphysics Object-Oriented Simulation Environment (MOOSE) electromagnetics module has been developed to increase MOOSE physics module capabilities, enabling standalone and coupled computational electromagnetics within the MOOSE multiphysics ecosystem. The module is actively being utilized in the areas of plasma physics and advanced manufacturing, and it currently provides initial demonstrated capability in multi-dimensional, complex-valued electromagnetic wave propagation, electrostatic contact, reflection and transmission, and electromagnetic eigenvalue problems. Two-dimensional wave propagation and one-dimensional wave reflection and transmission are showcased as examples in this work. The modularity, parallelism, and plug-in infrastructure for custom future development is inherited from MOOSE itself, and the module can be used with both MOOSE-based and external codes, giving great flexibility.

Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States); Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; National Science Foundation (NSF); USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517; SC0014664

OSTI ID:: 2290370

Report Number(s):: INL/JOU--23-72203-Rev000

Journal Information:: SoftwareX, Journal Name: SoftwareX Vol. 25; ISSN 2352-7110

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (13)

Modeling of SPS apparatus: Temperature, current and strain distribution with no powders Cincotti, A.; Locci, A. M.; Orrù, R. AIChE Journal, Vol. 53, Issue 3 https://doi.org/10.1002/aic.11102	journal	January 2007
libMesh : a C++ library for parallel adaptive mesh refinement/coarsening simulations Kirk, Benjamin S.; Peterson, John W.; Stogner, Roy H. Engineering with Computers, Vol. 22, Issue 3-4 https://doi.org/10.1007/s00366-006-0049-3	journal	November 2006
Physics-based multiscale coupling for full core nuclear reactor simulation Gaston, Derek R.; Permann, Cody J.; Peterson, John W. Annals of Nuclear Energy, Vol. 84 https://doi.org/10.1016/j.anucene.2014.09.060	journal	October 2015
Introduction to Moltres: An application for simulation of Molten Salt Reactors Lindsay, Alexander; Ridley, Gavin; Rykhlevskii, Andrei Annals of Nuclear Energy, Vol. 114 https://doi.org/10.1016/j.anucene.2017.12.025	journal	April 2018
Rapid multiphase-field model development using a modular free energy based approach with automatic differentiation in MOOSE/MARMOT Schwen, D.; Aagesen, L. K.; Peterson, J. W. Computational Materials Science, Vol. 132 https://doi.org/10.1016/j.commatsci.2017.02.017	journal	May 2017
Verification and validation of the open-source plasma fluid code: Zapdos DeChant, Corey; Icenhour, Casey; Keniley, Shane Computer Physics Communications, Vol. 291 https://doi.org/10.1016/j.cpc.2023.108837	journal	October 2023
A study of the evolution of microstructure and consolidation kinetics during sintering using a phase field modeling based approach Biswas, Sudipta; Schwen, Daniel; Singh, Jogender Extreme Mechanics Letters, Vol. 7 https://doi.org/10.1016/j.eml.2016.02.017	journal	June 2016
2.0 - MOOSE: Enabling massively parallel multiphysics simulation Lindsay, Alexander D.; Gaston, Derek R.; Permann, Cody J. SoftwareX, Vol. 20 https://doi.org/10.1016/j.softx.2022.101202	journal	December 2022
Continuous Integration, In-Code Documentation, and Automation for Nuclear Quality Assurance Conformance Slaughter, Andrew E.; Permann, Cody J.; Miller, Jason M. Nuclear Technology, Vol. 207, Issue 7 https://doi.org/10.1080/00295450.2020.1826804	journal	January 2021
BISON: A Flexible Code for Advanced Simulation of the Performance of Multiple Nuclear Fuel Forms Williamson, Richard L.; Hales, Jason D.; Novascone, Stephen R. Nuclear Technology https://doi.org/10.1080/00295450.2020.1836940	journal	March 2021
Fully coupled simulation of the plasma liquid interface and interfacial coefficient effects Lindsay, Alexander D.; Graves, David B.; Shannon, Steven C. Journal of Physics D: Applied Physics, Vol. 49, Issue 23 https://doi.org/10.1088/0022-3727/49/23/235204	journal	May 2016
Verification methods for drift–diffusion reaction models for plasma simulations DeChant, Corey; Icenhour, Casey; Keniley, Shane Plasma Sources Science and Technology, Vol. 32, Issue 4 https://doi.org/10.1088/1361-6595/acce65	journal	April 2023
PorousFlow: a multiphysics simulation code for coupled problems in porous media Wilkins, Andy; Green, Christopher; Ennis-King, Jonathan Journal of Open Source Software, Vol. 5, Issue 55 https://doi.org/10.21105/joss.02176	journal	November 2020

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References (13)

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