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  6. [Case Study] Plasma Analysis of "Particle-PLUS" Dual Frequency CCP

[Case Study] Plasma Analysis of "Particle-PLUS" Dual Frequency CCP

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Particle-PLUS

last updated:Jan 30, 2026

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Introduction to Particle-PLUS Analysis Case: "Plasma Analysis of Dual Frequency CCP" Simulation Case

This is a case study on plasma analysis of CCP (Capacitively Coupled Plasma) devices. Particle-PLUS specializes in plasma analysis within vacuum chambers and can perform high-speed simulations even when there are multiple electrodes or when applying overlapping frequencies. ◇ Features of 'Particle-PLUS' - Excels in low-pressure plasma analysis. - By combining axisymmetric models with mirror-symmetric boundary conditions, it can quickly obtain results without the need for full device simulations. - Specializes in plasma simulations for low-pressure gases, where fluid modeling is challenging. - Supports 2D (two-dimensional) and 3D (three-dimensional) analyses, efficiently handling complex models. - As a strength of our in-house developed software, customization to fit customer devices is also possible. ◆ Various calculation results can be output ◆ - Potential distribution - Density distribution/temperature distribution/generation distribution of electrons and ions - Particle flux and energy flux to the walls - Energy spectrum of electrons and ions at the walls - Density distribution/temperature distribution/velocity distribution of neutral gas and more. *For more details, please feel free to contact us.

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スライド1.JPG

[Case Study] Plasma Analysis of "Particle-PLUS" Dual Frequency CCP

スライド1.JPG
スライド1.JPG dual_CCP.png スライド2.JPG スライド3.JPG スライド4.JPG スライド5.JPG スライド6.JPG
  • Particle-based Plasma Analysis Software 'Particle-PLUS'
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**Features** - The time scheme uses an implicit method, allowing for stable time evolution to be calculated over a large time step Δt compared to conventional methods. - The collision reaction model between neutral gas and electrons and ions employs the Monte Carlo Scattering method, enabling accurate and rapid calculations of complex reaction processes. - The neutral gas module determines the initial neutral gas distribution used in the above plasma module, allowing for quick evaluation of gas flow using the DSMC method. - The sputtered particle module calculates the behavior of atoms sputtered from the target in plasma and neutral gas, such as the flux distribution on opposing substrates, which can be evaluated in a short time. *For other functions and details, please feel free to contact us.*

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Applications/Examples of results

【Dual Frequency Capacitive Coupled Plasma】 - Optimization of voltage and other parameters to achieve high-density plasma - Damage to chamber walls - Optimization of power using external circuit models - It is possible to apply voltages to the electrode plates that align with real devices - The waveform of the applied voltage can be simulated smoothly and realistically - Calculations are relatively stable to avoid applying unreasonable voltages 【DC Magnetron Sputtering】 - Uniformity of erosion dependent on magnetic field distribution - Adsorption distribution of sputtered materials on the substrate 【Pulsed Voltage Magnetron Sputtering】 - Optimization of the application time of pulsed voltage to efficiently sputter materials 【Ion Implantation】 - The influence of the substrate on the erosion distribution 【Time Evolution of Applied Voltage on Electrode Plates】 - It is possible to observe physical quantities that are difficult to measure experimentally, such as electron density and ion velocity distribution - By investigating electron density and ion velocity distribution, it is possible to examine the uniformity of the film and damage to the chamber walls - By changing calculation conditions, optimization of high-density plasma generation at low power is possible

Detailed information

  • スライド1.JPG

    This is a case study on plasma analysis of CCP (Capacitively Coupled Plasma) devices. Particle-PLUS specializes in plasma analysis within vacuum chambers and can perform high-speed simulations even in cases with multiple electrodes or when applying superimposed frequencies.

  • スライド2.JPG

    ◇Model Overview Conducted plasma analysis of 2-frequency CCP using an axisymmetric model.

  • スライド3.JPG

    Electric potential - Since the electron speed is significantly faster than the ion speed, ions are left behind in the plasma, resulting in a slight positive charge in the plasma. - Due to the self-bias effect, the electrodes are negatively charged. The high-frequency side has a self-bias of about -20 V, while the low-frequency side has a self-bias of about -150 V.

  • スライド4.JPG

    Transition of Particles - Change in particle number over time: It reaches a steady state in about 1×10^(−5) seconds, achieving a balance between the generation and annihilation of plasma particles. - Time variation of accumulated charge: It can be inferred that ions are left behind in the chamber, causing the plasma charge to be positively biased.

  • スライド5.JPG

    Particle number density Electron number density (periodic average) Ar ion number density (periodic average)

  • スライド6.JPG

    Ar ion flux Ar ion number flux (time-averaged) Ar ion energy flux (time-averaged) In Particle-PLUS, these flux distributions can be used to calculate the sputtering phenomenon.

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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into one that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.

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