Simultaneous Potential and Circuit Solution for 1D Bounded Plasma Particle Simulation Codes

Verboncoeur, John P.; Alves, M. V.; Vahedi, Vahid; Birdsall, C.K.

doi:10.1006/jcph.1993.1034

Cited by 415 publications

(270 citation statements)

References 2 publications

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“…1 and 3 are verified by our independent kinetic results using the PDP-1 code. 13 The results from two entirely different origins agree very well despite the slight differences in the simulation conditions, most notably in the initial equilibria.…”

Section: A Universal Characterization Of Nonlinear Self-oscillation Amentioning

confidence: 73%

A universal characterization of nonlinear self-oscillation and chaos in various particle-wave-wall interactions

Lee

Hur

et al. 1998

Applied Physics Letters

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Section: A Universal Characterization Of Nonlinear Self-oscillation Amentioning

confidence: 73%

A universal characterization of nonlinear self-oscillation and chaos in various particle-wave-wall interactions

Lee

Hur

et al. 1998

Applied Physics Letters

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“…The energy and angular distribution functions for Ar+ ions (IEDF, IADF) and electrons (EEDF, EADF) are shown in Figure 2. They are obtained by particle-in-cell (PIC) calculations using XPDC1 code [17][18][19]. These data are used as the boundary conditions for the calculations of ion fluxes incident on the profile surface.…”

Section: Sparse Field Level Set Methodsmentioning

confidence: 99%

Three-Dimensional Simulations with Fields and Particles in Software and Inflector Designs

Radjenović¹,

Radmilović-Radjenović²,

Beličev³

2013

JSEA

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Particles and fields represent two major modeling paradigms in pure and applied science at all. In this paper, a methodology and some of the results for three-dimensional (3D) simulations that include both field and particle abstractions are presented. Electromagnetic field calculations used here are based on the discrete differential form representation of the finite elements method, while the Monte Carlo method makes foundation of the particle part of the simulations. The first example is the simulation of the feature profile evolution during SiO 2 etching enhanced by Ar + /CF 4 non-equilibrium plasma based on the sparse field method for solving level set equations. Second example is devoted to the design of a spiral inflector which is one of the key devices of the axial injection system of the VINCY Cyclotron.

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“…First, the maximum collision probability during a time step is calculated [20] (R2) e + He → e + e + He + σ(E) [20] (R3) e + He → e + He * σ(E) [20] (R4) He + + He → He + + He Q i (E) + 2Q b (E) [22], see also text…”

Section: Coupling Between the Electron And Ion Modelsmentioning

confidence: 99%

A new hybrid scheme for simulations of highly collisional RF-driven plasmas

Eremin

Hemke

Mussenbrock

2015

Plasma Sources Sci. Technol.

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This work describes a new 1D hybrid approach for modeling atmospheric pressure discharges featuring complex chemistry. In this approach electrons are described fully kinetically using ParticleIn-Cell/Monte-Carlo (PIC/MCC) scheme, whereas the heavy species are modeled within a fluid description. Validity of the popular drift-diffusion approximation is verified against a "full" fluid model accounting for the ion inertia and a fully kinetic PIC/MCC code for ions as well as electrons.The fluid models require knowledge of the momentum exchange frequency and dependence of the ion mobilities on the electric field when the ions are in equilibrium with the latter. To this end an auxiliary Monte-Carlo scheme is constructed. It is demonstrated that the drift-diffusion approximation can overestimate ion transport in simulations of RF-driven discharges with heavy ion species operated in the γ mode at the atmospheric pressure or in all discharge simulations for lower pressures. This can lead to exaggerated plasma densities and incorrect profiles provided by the drift-diffusion models. Therefore, the hybrid code version featuring the full ion fluid model should be favored against the more popular drfit-diffusion model, noting that the suggested numerical scheme for the former model implies only a small additional computational cost.

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Simultaneous Potential and Circuit Solution for 1D Bounded Plasma Particle Simulation Codes

Cited by 415 publications

References 2 publications

A universal characterization of nonlinear self-oscillation and chaos in various particle-wave-wall interactions

A universal characterization of nonlinear self-oscillation and chaos in various particle-wave-wall interactions

Three-Dimensional Simulations with Fields and Particles in Software and Inflector Designs

A new hybrid scheme for simulations of highly collisional RF-driven plasmas

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