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

Author:

Garrigues L.1ORCID,Chung-To-Sang M.1ORCID,Fubiani G.1ORCID,Guillet C.12ORCID,Deluzet F.2ORCID,Narski J.2ORCID

Affiliation:

1. Université de Toulouse 1 , CNRS, INPT, UPS, Toulouse France

2. Université de Toulouse, UPS, INSA, UPS, Institut de Mathématiques de Toulouse 2 , CNRS, Institut de Mathématiques de Toulouse, UMR5219, 31062 Toulouse, France

Abstract

The use of sparse particle-in-cell (PIC) algorithms to accelerate the standard explicit PIC scheme has recently been successfully applied in the context of single-frequency capacitively coupled plasma discharges [Garrigues et al., J. Appl. Phys. 129, 153303 (2021)]. We have extended the sparse PIC scheme to model dual-frequency capacitive discharges. Comparisons between standard and sparse PIC algorithms show that the plasma properties as well as the electron and ion distribution functions can be retrieved with a maximum error of 2%. This work opens the interest of using the sparse PIC algorithm to perform 2D and 3D simulations under real operating conditions of capacitively coupled plasma discharges.

Funder

Agence Nationale de la Recherche

EUROfusion

Ecole Nationale Superieure - Paris Saclay - PhD Grant

Universite de Toulouse Midi-Pyrenees-Region Occitanie - PhD Grant

Publisher

AIP Publishing

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