TY - JOUR
T1 - Verification methods for drift-diffusion reaction models for plasma simulations
AU - DeChant, Corey
AU - Icenhour, Casey
AU - Keniley, Shane
AU - Lindsay, Alexander
AU - Gall, Grayson
AU - Clein Hizon, Kimberly
AU - Curreli, Davide
AU - Shannon, Steven
N1 - Publisher Copyright:
© 2023 The Author(s). Published by IOP Publishing Ltd.
PY - 2023/4
Y1 - 2023/4
N2 - Compared to other computational physics areas such as codes for general computational fluid dynamics, 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 (MMSs) 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) developed for plasma physics modeling and simulation, this report lays the groundwork for a structured method of conducting plasma fluid code verification.
AB - Compared to other computational physics areas such as codes for general computational fluid dynamics, 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 (MMSs) 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) developed for plasma physics modeling and simulation, this report lays the groundwork for a structured method of conducting plasma fluid code verification.
KW - analytical solutions
KW - convergence studies
KW - electromagnetic simulations
KW - method of manufactured solutions
KW - plasma fluid simulations
KW - verification
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U2 - 10.1088/1361-6595/acce65
DO - 10.1088/1361-6595/acce65
M3 - Article
AN - SCOPUS:85158024201
SN - 0963-0252
VL - 32
JO - Plasma Sources Science and Technology
JF - Plasma Sources Science and Technology
IS - 4
M1 - 044006
ER -