Demonstration of Similarity Laws and Scaling Networks for Radio-Frequency Plasmas

We experimentally demonstrate similarity laws for capacitive radio-frequency (rf) plasmas, showing that two rf discharges are scale-invariant in geometrically similar systems in which the gas pressure, gap dimension, and driving frequency are proportionally tuned. Spatiotemporal distributions of the excitation rate are measured based on phase-resolved optical emission spectroscopy, and the tendencies of the excitation dynamics scaling with control parameters are presented and agree well with particle-in-cell simulations. Furthermore, similarity-based scaling networks are established, which extensively correlate the discharge states (i.e., the initial, intermediate, and similarity states), enabling an effective strategy for determining scaling relations with fewer experiments. The framework of the scaling networks is interpreted based on the kinetic Boltzmann equation coupled with Poisson's equation. The present work reveals the nature of discharge similarity and provides an additional knob for the exploration of upscaled rf plasma sources for industrial applications, such as large-area etching facilities.

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Publication Details

Journal
Physical Review Letters
Published
2025-01-27
DOI
https://doi.org/10.1103/physrevlett.134.045301
Citations
14
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
10.23

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article

Demonstration of Similarity Laws and Scaling Networks for Radio-Frequency Plasmas

John Verboncoeur, Yangyang Fu, Dong Yang
14 citations
Physical Review Letters
Plasma Diagnostics and Applications
10.23
article

Demonstration of Similarity Laws and Scaling Networks for Radio-Frequency Plasmas

John Verboncoeur, Yangyang Fu, Dong Yang
article en
14 citations

Abstract

We experimentally demonstrate similarity laws for capacitive radio-frequency (rf) plasmas, showing that two rf discharges are scale-invariant in geometrically similar systems in which the gas pressure, gap dimension, and driving frequency are proportionally tuned. Spatiotemporal distributions of the excitation rate are measured based on phase-resolved optical emission spectroscopy, and the tendencies of the excitation dynamics scaling with control parameters are presented and agree well with particle-in-cell simulations. Furthermore, similarity-based scaling networks are established, which extensively correlate the discharge states (i.e., the initial, intermediate, and similarity states), enabling an effective strategy for determining scaling relations with fewer experiments. The framework of the scaling networks is interpreted based on the kinetic Boltzmann equation coupled with Poisson's equation. The present work reveals the nature of discharge similarity and provides an additional knob for the exploration of upscaled rf plasma sources for industrial applications, such as large-area etching facilities.

Physical Review LettersVol. 134(4)
Michigan State University (US), Tsinghua University (CN)
National Science Foundation, U.S. Department of Energy, National Natural Science Foundation of China, Tsinghua University
Openalex Percentile: Top 2%
Plasma Diagnostics and Applications
10.23
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