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      Verification methods for drift–diffusion reaction models for plasma simulations

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          Abstract

          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.

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          Most cited references38

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          Solving the Boltzmann equation to obtain electron transport coefficients and rate coefficients for fluid models

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            Mixed finite elements in ?3

            J. Nedelec (1980)
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              SymPy: symbolic computing in Python

              SymPy is an open source computer algebra system written in pure Python. It is built with a focus on extensibility and ease of use, through both interactive and programmatic applications. These characteristics have led SymPy to become a popular symbolic library for the scientific Python ecosystem. This paper presents the architecture of SymPy, a description of its features, and a discussion of select submodules. The supplementary material provide additional examples and further outline details of the architecture and features of SymPy.
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                Author and article information

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                Journal
                Plasma Sources Science and Technology
                Plasma Sources Sci. Technol.
                IOP Publishing
                0963-0252
                1361-6595
                May 03 2023
                April 01 2023
                May 03 2023
                April 01 2023
                : 32
                : 4
                : 044006
                Article
                10.1088/1361-6595/acce65
                7dd7e793-988f-4b82-aaf2-966a7abd6aab
                © 2023

                http://creativecommons.org/licenses/by/4.0

                https://iopscience.iop.org/info/page/text-and-data-mining

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