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Four impedance matching methods for capacitatively coupled plasma source with transmission line and lumped parameter circuit.

POSTER

Abstract

Capacitively coupled plasmas (CCPs) have diverse applications in fields such as plasma etching and thin-film deposition. To maximize the efficiency of plasma generation and minimize the reflection of power during transmission, an impedance matching network (IMN) and design method for capacitively coupling plasmas play a crucial role. The coupling and nonlinear interactions of the transmission line, the lumped parameter circuit and the plasma load pose great challenges to this design[1-5]. In this study, they are described by the Lax-Wendroff method, Kirchhoff Voltage Law (KVL), and the Particle-In-Cell/Monte Carlo Collision (PIC/MCC) method respectively. Four distinct methods are utilized to design optimal impedance matching for this intricate discharge system: (1) The impedance matching design of the plasma source with two ideal transmission lines and an L-type matching network is realized by iterative calculation. Only a few iterations are required to attain a reflection coefficient below 0.01. (2) Impedance matching is achieved by employing a dichotomy approach to adjust the frequency of the RF power supply. (3) For single-frequency CCPs, two adjustable capacitors are adjusted simultaneously by the gradient descent method to minimize the reflection coefficient. (4) Machine learning techniques are leveraged to train on existing simulation data, enabling the identification of optimal circuit parameters.

Publication: [1] Shimin Yu, et al. Computer Physics Communications 282 (2023): 108468.<br>[2] Jiamao Gao, et al. Journal of Physics D: Applied Physics 55.16 (2022): 165201.<br>[3] Shimin Yu, et al. Journal of Applied Physics 132.8 (2022): 083302.<br>[4] Hao Wu, et al. Journal of Applied Physics 131.15 (2022): 153301.<br>[5] Zili Chen, et al. Physics of Plasmas 29.11 (2022): 113507.

Presenters

  • Shimin Yu

    Huazhong University of Science and Technology

Authors

  • Shimin Yu

    Huazhong University of Science and Technology

  • Yu Wang

    Huazhong University of Science and Technology

  • Zili Chen

    Huazhong University of Science and Technology

  • Dehen Cao

    Huazhong University of Science and Technology

  • Jingwen Xu

    Wuhan University of Technology

  • Lu Wang

    Huazhong University of Science and Technology

  • Zhijiang Wang

    Huazhong University of Science and Technology

  • Wei Jiang

    Huazhong University of Science and Technology

  • Ya Zhang

    Wuhan University of Technology