Cross sections set and transport coefficients for Ar+ ions in Ar gas

In this work we present a complete cross sections dataset and transport coefficients of Ar+ ions in Ar gas. These data are needed for modeling in numerous applications of technological importance. A Monte Carlo simulation method is applied to accurately calculate transport parameters in hydrodynamic regime. We discuss new data for Ar+ ions in Ar gas where the drift velocity, characteristic energy, flux and bulk values of reduced mobility, rate coefficients, diffusion coefficients and other transport parameters are given as a function of low, moderate and high reduced electric fields E/N (E-electric field strength, N-gas number density). Furthermore, it is shown that the ion energy probability function follows the Maxwellian distribution at low electric fields, whereas at high fields, it deviates significantly.

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Publication Details

Journal
Science of Sintering
Published
2025-01-01
DOI
https://doi.org/10.2298/sos250428030n
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.00

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article

Cross sections set and transport coefficients for Ar+ ions in Ar gas

Željka Nikitović, Zoran Raspopović
4 links
Science of Sintering
Atmospheric Ozone and Climate
article

Cross sections set and transport coefficients for Ar+ ions in Ar gas

Željka Nikitović, Zoran Raspopović
article en

Abstract

In this work we present a complete cross sections dataset and transport coefficients of Ar+ ions in Ar gas. These data are needed for modeling in numerous applications of technological importance. A Monte Carlo simulation method is applied to accurately calculate transport parameters in hydrodynamic regime. We discuss new data for Ar+ ions in Ar gas where the drift velocity, characteristic energy, flux and bulk values of reduced mobility, rate coefficients, diffusion coefficients and other transport parameters are given as a function of low, moderate and high reduced electric fields E/N (E-electric field strength, N-gas number density). Furthermore, it is shown that the ion energy probability function follows the Maxwellian distribution at low electric fields, whereas at high fields, it deviates significantly.

Science of Sintering(00)
University of Belgrade (RS)
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Openalex Percentile: Top 80%
Atmospheric Ozone and Climate
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Cross sections set and transport coefficients for Ar+ ions in Ar gas — Željka Nikitović, Zoran Raspopović · Science of Sintering (2025) | TGRS Research Map | TGRS