Electromagnetic particle-in-cell modeling of an electron cyclotron resonance plasma discharge in hydrogen

Abstract A low pressure discharge sustained in molecular hydrogen with help of the electron cyclotron resonance heating at a frequency of 2.45 GHz is simulated using a fully electromagnetic implicit charge- and energy-conserving particle-in-cell/Monte Carlo code. The simulations show a number of kinetic effects, and the results are in good agreement with various experimentally measured data such as electron density, electron temperature and degree of dissociation. The electron energy distribution shows a tri-Maxwellian form due to a number of different electron heating mechanisms, agreeing with the experimental data in the measured electron energy interval. The simulation results are also compared with output data of a drift-diffusion model and proximity is observed between the computational results for the plasma density at the location of experimental measurement. However, the fluid approximation fails to accurately predict radical density and electron temperature because of the assumption of a single electron temperature. Special attention is paid to the characteristics of hydrogen radicals, whose production is strongly underestimated by the fluid model, whereas it is well predicted by the model considered here. The energy distribution of such radicals demonstrates the presence of a relatively large number of energetic hydrogen atoms produced by the dissociation of molecular hydrogen. The new insights are of significance for practical applications of hydrogen plasmas.

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Publication Details

Journal
Plasma Sources Science and Technology
Published
2025-05-16
DOI
https://doi.org/10.1088/1361-6595/add9c7
Citations
4
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
2.92
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article

Electromagnetic particle-in-cell modeling of an electron cyclotron resonance plasma discharge in hydrogen

Denis Eremin, Yulia Sergeevna Sharova, Luuk Heijmans, Ralf Peter Brinkmann et al.
4 citations
Plasma Sources Science and Technology
Plasma Diagnostics and Applications
2.92
article

Electromagnetic particle-in-cell modeling of an electron cyclotron resonance plasma discharge in hydrogen

Denis Eremin, Yulia Sergeevna Sharova, Luuk Heijmans, Ralf Peter Brinkmann, Efe Ke­man­eci, Mark van de Kerkhof, Andrei M. Yakunin
article en
4 citations

Abstract

Abstract A low pressure discharge sustained in molecular hydrogen with help of the electron cyclotron resonance heating at a frequency of 2.45 GHz is simulated using a fully electromagnetic implicit charge- and energy-conserving particle-in-cell/Monte Carlo code. The simulations show a number of kinetic effects, and the results are in good agreement with various experimentally measured data such as electron density, electron temperature and degree of dissociation. The electron energy distribution shows a tri-Maxwellian form due to a number of different electron heating mechanisms, agreeing with the experimental data in the measured electron energy interval. The simulation results are also compared with output data of a drift-diffusion model and proximity is observed between the computational results for the plasma density at the location of experimental measurement. However, the fluid approximation fails to accurately predict radical density and electron temperature because of the assumption of a single electron temperature. Special attention is paid to the characteristics of hydrogen radicals, whose production is strongly underestimated by the fluid model, whereas it is well predicted by the model considered here. The energy distribution of such radicals demonstrates the presence of a relatively large number of energetic hydrogen atoms produced by the dissociation of molecular hydrogen. The new insights are of significance for practical applications of hydrogen plasmas.

Plasma Sources Science and TechnologyVol. 34(6)
Eindhoven University of Technology (NL), Ruhr University Bochum (DE), ASML (Netherlands) (NL)
Openalex Percentile: Top 9%
Plasma Diagnostics and Applications
2.92
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