The MOOSE Electromagnetics Module

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

doi:10.2139/ssrn.4631570

2023

DOI: 10.2139/ssrn.4631570

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The MOOSE Electromagnetics Module

Casey Tyler Icenhour,

Alexander Lindsay,

Cody Permann

et al.

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2023

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Cited by 1 publication

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Verification methods for drift–diffusion reaction models for plasma simulations

DeChant

Icenhour

Keniley

et al. 2023

Plasma Sources Sci. Technol.

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Compared to other computational physics areas such as codes for general computational fluid dynamics (CFD), the documentation of verification methods for plasma fluid codes remains under developed. Current analytical solutions for plasma are often highly limited in terms of testing highly coupled physics, due to the harsh assumptions needed to derive even simple plasma equations. This work highlights these limitations, suggesting the method of manufactured solutions (MMS) as a potential option for future verification efforts. To demonstrate the flexibility of MMS in verifying these highly coupled systems, the Multiphysics Object-Oriented Simulation Environment (MOOSE) framework was utilized. Thanks to the MOOSE framework’s robustness and modularity, as well as to its physics module capabilities and ecosystem applications (i.e., Zapdos and the Chemical Reaction Network [CRANE]) developed for plasma physics modeling and simulation, this report lays the groundwork for a structured method of conducting plasma fluid code verification.

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Verification methods for drift–diffusion reaction models for plasma simulations

DeChant

Icenhour

Keniley

et al. 2023

Plasma Sources Sci. Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

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The MOOSE Electromagnetics Module

Cited by 1 publication

References 17 publications

Verification methods for drift–diffusion reaction models for plasma simulations

Verification methods for drift–diffusion reaction models for plasma simulations

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