July 1, 2024Physics of PlasmasOpen Access

Acceleration of particle-in-cell simulations using sparse grid algorithms. I. Application to dual frequency capacitive discharges

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Authors

LGLaurent GarriguesUniversité Fédérale de Toulouse Midi-Pyrénées MCM. Chung-To-SangCentre National de la Recherche Scientifique GFG. FubianiCentre National de la Recherche Scientifique

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Implication

Simulation study demonstrates accurate retrieval of plasma properties in dual-frequency capacitive discharges, highlighting the feasibility of accelerated multi-dimensional modeling.

Key Points

Plasma properties and charged particle dynamics are accurately reproduced in dual frequency capacitive discharges, matching standard particle in cell results with high fidelity.
A maximum error of 2% is maintained across electron distribution functions, while ion distribution functions exhibit equivalent precision compared to standard grid benchmarks.
Simulations using sparse grid algorithms enable accelerated kinetic modeling, supporting future multidimensional studies of capacitively coupled plasma under real operating conditions.

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Garrigues et al. (2024) studied this question.

synapsesocial.com/papers/68e61deab6db6435875afcf6 https://doi.org/10.1063/5.0211217

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Implication

Simulation study demonstrates accurate retrieval of plasma properties in dual-frequency capacitive discharges, highlighting the feasibility of accelerated multi-dimensional modeling.

Acceleration of particle-in-cell simulations using sparse grid algorithms. I. Application to dual frequency capacitive discharges

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Member takes

Implication

Key Points

Cite This Study

Acceleration of particle-in-cell simulations using sparse grid algorithms. I. Application to dual frequency capacitive discharges

Discussion

Member takes

Implication

Key Points

Cite This Study

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