2023
DOI: 10.1088/1361-6595/acce65
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Verification methods for drift–diffusion reaction models for plasma simulations

Abstract: 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 verif… Show more

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Cited by 4 publications
(2 citation statements)
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“…The solution to the set of rate equations dictated by equation ( 2) is accomplished using the open-source code network solver Chemical ReAction NEtworks (CRANE) [36]. CRANE has previously been through a verification and validation process when coupled to fluid codes for low to atmospheric pressure plasma discharges [37][38][39][40]. CRANE uses tabulated energy dependent reaction rates calculated from BOLSIG+ [41].…”
Section: Development Of a Cr Modelmentioning
confidence: 99%
“…The solution to the set of rate equations dictated by equation ( 2) is accomplished using the open-source code network solver Chemical ReAction NEtworks (CRANE) [36]. CRANE has previously been through a verification and validation process when coupled to fluid codes for low to atmospheric pressure plasma discharges [37][38][39][40]. CRANE uses tabulated energy dependent reaction rates calculated from BOLSIG+ [41].…”
Section: Development Of a Cr Modelmentioning
confidence: 99%
“…In Ref. [22], the MOOSE-EMM is being used to expand the capability of a MOOSE-based code, Zapdos, developed to study electrostatic, capacitively-coupled, low temperature plasma discharges. By adding Maxwell's equation solve capabilities to Zapdos, a greater number of plasma and plasma processing scenarios can be studied, including high frequency and inductively coupled discharges.…”
Section: Impactmentioning
confidence: 99%