Reproducible plasma modelling with COMSOL Multiphysics

Commercial simulation tools like COMSOL Multiphysics offer flexible capabilities for conducting numerical experiments. However, when numerous equations must be implemented, the modelling process can become time-consuming, prone to errors and hard to reproduce, e.g. for verification. Modelling low-temperature plasmas also faces these challenges, as it often needs to consider large sets of balance equations for the plasma species. To address this, the MATLAB-COMSOL toolbox MCPlas was developed. The latest version of MCPlas presented here enables the automated implementation of fluid-Poisson plasma models in COMSOL using JSON-schema-based input files that define the species, their reaction mechanisms, and other relevant parameters. By using MCPlas for different application cases it is demonstrated how MCPlas can support the efficient and reproducible implementation of state-of-the-art plasma models in COMSOL.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20719986
Primary Topic
Magnetic confinement fusion research
Type
article
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article

Reproducible plasma modelling with COMSOL Multiphysics

Markus M. Becker, Marjan N. Stankov
Zenodo (CERN European Organization for Nuclear Research)
Magnetic confinement fusion research
article

Reproducible plasma modelling with COMSOL Multiphysics

Markus M. Becker, Marjan N. Stankov
article en

Abstract

Commercial simulation tools like COMSOL Multiphysics offer flexible capabilities for conducting numerical experiments. However, when numerous equations must be implemented, the modelling process can become time-consuming, prone to errors and hard to reproduce, e.g. for verification. Modelling low-temperature plasmas also faces these challenges, as it often needs to consider large sets of balance equations for the plasma species. To address this, the MATLAB-COMSOL toolbox MCPlas was developed. The latest version of MCPlas presented here enables the automated implementation of fluid-Poisson plasma models in COMSOL using JSON-schema-based input files that define the species, their reaction mechanisms, and other relevant parameters. By using MCPlas for different application cases it is demonstrated how MCPlas can support the efficient and reproducible implementation of state-of-the-art plasma models in COMSOL.

Zenodo (CERN European Organization for Nuclear Research)
Leibniz Institute for Plasma Science and Technology (DE)
Openalex Percentile: Top 7%
Magnetic confinement fusion research
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Reproducible plasma modelling with COMSOL Multiphysics — Markus M. Becker, Marjan N. Stankov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS