PIC/MCC simulations of the effects of a radio-frequency bias on inductively coupled plasmas

Abstract The growing need for precision plasma processing has made radio frequency (RF) wafer biasing crucial for plasma parameter control. We developed a two-dimensional Particle-in-Cell/Monte Carlo Collision model capable of simulating inductively coupled plasma (ICP) discharges, incorporating both electrode geometry and RF bias circuit coupling. The model was validated against experimental data from unbiased argon ICP discharges in a Gaseous Electronics Conference reference cell. With an increasing RF bias voltage within a certain range, the plasma density decreases nonlinearly and the electron energy probability function shifts toward low-energy
populations, while the ion energy and angular distribution function at the wafer electrode transition from a single-peak structure to a double-peak structure with reduced angular dispersion. Further, equivalent impedance analysis reveals that the energy delivered to the plasma at the fundamental driving frequency is converted into energy generated in the plasma at higher harmonic frequencies through nonlinear mechanisms.

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Publication Details

Journal
Plasma Sources Science and Technology
Published
2025-09-16
DOI
https://doi.org/10.1088/1361-6595/ae0763
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
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article

PIC/MCC simulations of the effects of a radio-frequency bias on inductively coupled plasmas

Julian Schulze, Xiandi Li, Yu Wang, Ya Zhang et al.
Plasma Sources Science and Technology
Plasma Diagnostics and Applications
article

PIC/MCC simulations of the effects of a radio-frequency bias on inductively coupled plasmas

Julian Schulze, Xiandi Li, Yu Wang, Ya Zhang, Wei Jiang, Zhipeng Chen, Hongyu Wang, Zhaoyu Chen, Zili Chen, Tian Minglun
article en

Abstract

Abstract The growing need for precision plasma processing has made radio frequency (RF) wafer biasing crucial for plasma parameter control. We developed a two-dimensional Particle-in-Cell/Monte Carlo Collision model capable of simulating inductively coupled plasma (ICP) discharges, incorporating both electrode geometry and RF bias circuit coupling. The model was validated against experimental data from unbiased argon ICP discharges in a Gaseous Electronics Conference reference cell. With an increasing RF bias voltage within a certain range, the plasma density decreases nonlinearly and the electron energy probability function shifts toward low-energy
populations, while the ion energy and angular distribution function at the wafer electrode transition from a single-peak structure to a double-peak structure with reduced angular dispersion. Further, equivalent impedance analysis reveals that the energy delivered to the plasma at the fundamental driving frequency is converted into energy generated in the plasma at higher harmonic frequencies through nonlinear mechanisms.

Plasma Sources Science and Technology
Wuhan University of Technology (CN), Anshan Normal University (CN), Huazhong University of Science and Technology (CN), Ruhr University Bochum (DE)
Openalex Percentile: Top 76%
Plasma Diagnostics and Applications
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