Dynamic electrical response and discharge mode transitions in CF4/Ar capacitively coupled plasmas with automatic matching networks
This study investigates the dynamic stabilization of capacitively coupled plasma (CCP) discharges in a CF4/Ar environment through an automatic external L-type matching network using one-dimensional particle-in-cell/Monte Carlo collision (PIC/MCC) simulations. Driven at a source voltage of 100 V and a frequency of 27.12 MHz, the plasma system exhibits complex impedance evolution and non-linear kinetic transitions as the CF4 mixing ratio increases. Our results demonstrate that the automatic matching algorithm, by iteratively optimizing the matching capacitances (Cm1 and Cm2), achieves a series-like resonance that magnifies the electrode voltage to 3.5–4.5 times the source value. Specifically, at high electronegativity (80% CF4), the discharge encounters a “high-resistance barrier” characterized by severe electron depletion and initial impedance mismatch. The matching network facilitates a synchronized “staircase” evolution of the electrode voltage, current, and charged species densities, effectively preventing discharge collapse and ensuring global stability. Spatial analysis reveals a fundamental heating mode transition: While low CF4 fractions support sheath-edge localized heating (α and Drift-Ambipolar modes), the 80% CF4 case shifts to a bulk-dominated Ohmic heating regime with electron temperatures exceeding 4 eV. This transition is further confirmed by the temporal evolution of the electron energy probability function, which shows a robust recovery of the high-energy tail during the matching iterations. This work underscores that automatic external circuit matching is not merely a tool for power efficiency but acts as a vital kinetic regulator that sustains discharges in attachment-heavy, high-pressure environments, providing critical insights for industrial plasma etching processes.
Authors
- Wei Jiang (ORCID: https://orcid.org/0000-0002-9394-585X)
- Shimin Yu (ORCID: https://orcid.org/0000-0002-3832-5252)
- Yu Wang (ORCID: https://orcid.org/0000-0003-3519-3677)
- Jingwen Xu (ORCID: https://orcid.org/0000-0003-1385-3320)
- Hongyu Wang (ORCID: https://orcid.org/0009-0007-8100-1409)
- Pan Zhao (ORCID: https://orcid.org/0000-0002-3866-3753)
Institutions
- Wuhan University of Technology (CN)
- Anshan Normal University (CN)
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
- Ruhr University Bochum (DE)
Publication Details
- Journal
- Journal of Applied Physics
- Published
- 2026-04-15
- DOI
- https://doi.org/10.1063/5.0323169
- Primary Topic
- Plasma Diagnostics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China