Direct Implicit and Explicit Energy-Conserving Particle-in-Cell Methods for Modeling of Capacitively-Coupled Plasma Devices
Haomin Sun, Soham Banerjee, Sarveshwar Sharma, Andrew Tasman Powis,, Alexander V. Khrabrov, Dmytro Sydorenko, Jian Chen, Igor D. Kaganovich

TL;DR
This paper compares implicit and explicit energy-conserving Particle-in-Cell methods for plasma modeling, demonstrating they allow larger cell sizes and time steps with minimal accuracy loss, reducing computational costs.
Contribution
It introduces and evaluates direct implicit and energy-conserving algorithms integrated into existing PIC codes, enabling larger simulation scales with controlled accuracy impacts.
Findings
Both methods allow larger cell sizes than the Debye length.
They enable larger time steps than the electron plasma period.
Reduced computational runtime with minor plasma parameter inaccuracies.
Abstract
Achieving large-scale kinetic modelling is a crucial task for the development and optimization of modern plasma devices. With the trend of decreasing pressure in applications such as plasma etching, kinetic simulations are necessary to self-consistently capture the particle dynamics. The standard, explicit, electrostatic, momentum-conserving Particle-In-Cell method suffers from restrictive stability constraints on spatial cell size and temporal time step, requiring resolution of the electron Debye length and electron plasma period respectively. This results in a very high computational cost, making the technique prohibitive for large volume device modeling. We investigate the Direct Implicit algorithm and the explicit Energy Conserving algorithm as alternatives to the standard approach, both of which can reduce computational cost with a minimal (or controllable) impact on results. These…
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Taxonomy
TopicsPlasma Diagnostics and Applications · Particle accelerators and beam dynamics · Radiation Effects in Electronics
