Modeling the role of secondary electron emission in direct current magnetron sputtering using explicit energy-conserving particle-in-cell methods

We present results from particle-in-cell (PIC) simulations of direct current magnetron sputtering (dcMS) in a 2D cylindrically symmetric geometry. The PIC model assumes an electrostatic approximation and includes the Monte Carlo collision method to model collisions between electrons and the neutral gas. A newly implemented explicit energy-conserving PIC algorithm (EC-PIC) is also exercised by the model, and results are compared with the standard momentum-conserving PIC (MC-PIC) method. We use these simulation tools to examine how changes in ion-induced secondary electron yield (SEY) and the external circuit impact the steady-state current, voltage, and plasma density of dcMS discharges. We show that in general, higher ion-induced SEY and lower external resistance values lead to larger currents, smaller voltages, and larger plasma densities. Simulation results presented in this paper related to the ion-induced SEY demonstrate similar trends that have been observed in previous experimental work and theory. Finally, we demonstrate that EC-PIC maintains numerical stability up to cell sizes as large as ten times the electron Debye length. While we have not performed a comprehensive stability study of MC-PIC, this paper demonstrates improved stability over the standard practice often assumed in MC-PIC. We therefore demonstrate that EC-PIC allows for modeling a wide range of plasma currents and densities using modest computational resources compared with PIC models that require resolution of the electron Debye length.

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Publication Details

Journal
Physics of Plasmas
Published
2026-02-01
DOI
https://doi.org/10.1063/5.0279076
Primary Topic
Plasma Diagnostics and Applications
Type
article
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article

Modeling the role of secondary electron emission in direct current magnetron sputtering using explicit energy-conserving particle-in-cell methods

Joseph G. Theis, Seth Veitzer, G. Werner, John R. Cary et al.
Physics of Plasmas
Plasma Diagnostics and Applications
article

Modeling the role of secondary electron emission in direct current magnetron sputtering using explicit energy-conserving particle-in-cell methods

Joseph G. Theis, Seth Veitzer, G. Werner, John R. Cary, S. Kruger, Thomas G. Jenkins, Eve Lanham, Daniel Main
article en

Abstract

We present results from particle-in-cell (PIC) simulations of direct current magnetron sputtering (dcMS) in a 2D cylindrically symmetric geometry. The PIC model assumes an electrostatic approximation and includes the Monte Carlo collision method to model collisions between electrons and the neutral gas. A newly implemented explicit energy-conserving PIC algorithm (EC-PIC) is also exercised by the model, and results are compared with the standard momentum-conserving PIC (MC-PIC) method. We use these simulation tools to examine how changes in ion-induced secondary electron yield (SEY) and the external circuit impact the steady-state current, voltage, and plasma density of dcMS discharges. We show that in general, higher ion-induced SEY and lower external resistance values lead to larger currents, smaller voltages, and larger plasma densities. Simulation results presented in this paper related to the ion-induced SEY demonstrate similar trends that have been observed in previous experimental work and theory. Finally, we demonstrate that EC-PIC maintains numerical stability up to cell sizes as large as ten times the electron Debye length. While we have not performed a comprehensive stability study of MC-PIC, this paper demonstrates improved stability over the standard practice often assumed in MC-PIC. We therefore demonstrate that EC-PIC allows for modeling a wide range of plasma currents and densities using modest computational resources compared with PIC models that require resolution of the electron Debye length.

Physics of PlasmasVol. 33(2)
University of Colorado Boulder (US), Tech-X Corporation (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 62%
Plasma Diagnostics and Applications
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