Back to Search
Start Over
Stochastic and self-consistent 3D modeling of streamer discharge trees with Kinetic Monte Carlo.
- Source :
-
Journal of Computational Physics . May2024, Vol. 504, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- This paper contains the foundation for a new Particle-In-Cell model for gas discharges, based on Îto diffusion and Kinetic Monte Carlo (KMC). In the new model the electrons are described with a microscopic drift-diffusion model rather than a macroscopic one. We discuss the connection of the Îto-KMC model to the equations of fluctuating hydrodynamics and the advection-diffusion-reaction equation which is conventionally used for simulating streamer discharges. The new model is coupled to a particle description of photoionization, providing a non-kinetic all-particle method with several attractive properties, such as: 1) Taking the same input as a fluid model, e.g. mobility coefficients, diffusion coefficients, and reaction rates. 2) Guaranteed non-negative densities. 3) Intrinsic support for reactive and diffusive fluctuations. 4) Exceptional stability properties. The model is implemented as a particle-mesh model on cut-cell grids with Cartesian adaptive mesh refinement. Positive streamer discharges in atmospheric air are considered as the primary application example, and we demonstrate that we can self-consistently simulate large discharge trees. • New, non-kinetic Particle-In-Cell method for electric discharges. • Self-consistent and stochastic evolution of streamer discharge trees. • Compatible with adaptive mesh refinement (AMR) and parallel computations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00219991
- Volume :
- 504
- Database :
- Academic Search Index
- Journal :
- Journal of Computational Physics
- Publication Type :
- Academic Journal
- Accession number :
- 176069475
- Full Text :
- https://doi.org/10.1016/j.jcp.2024.112858