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The Particle‐In‐Cell Method

Contributions to Plasma Physics, 2007
AbstractThis paper is the first in a series of three papers to summarize the recent work of an European‐wide collaborationwhich is ongoing since about one decade using Particle‐in‐Cell (PIC) methods in low temperature plasma physics. In the present first paper the main aspects of this computational technique will be presented.
D. Tskhakaya   +3 more
semanticscholar   +7 more sources

Particle-in-Cell Method

, 1970
In Chapter Particle-in-Cell Method, it was stated that “if the exact distribution of \(\vec v\) were known everywhere in the control volume surrounding the cylinder, then the integrals of the momentum theorem, and thus FT could be evaluated without the need for the experimental constants.” As a natural extension of this statement, it should be pointed ...
B. J. Muga, James F. Wilson
semanticscholar   +2 more sources

Whistler turbulence: Particle-in-cell simulations

Physics of Plasmas, 2008
Two-dimensional electromagnetic particle-in-cell simulations in a magnetized, homogeneous, collisionless electron-proton plasma demonstrate the forward cascade of whistler turbulence. The simulations represent decaying turbulence, in which an initial, narrowband spectrum of fluctuations at wavenumbers kc∕ωe≃0.1 cascades toward increased damping at kc ...
S. Saito, S. Gary, Hui Li, Y. Narita
semanticscholar   +2 more sources

The power particle-in-cell method

ACM Transactions on Graphics, 2022
This paper introduces a new weighting scheme for particle-grid transfers that generates hybrid Lagrangian/Eulerian fluid simulations with uniform particle distributions and precise volume control. At its core, our approach reformulates the construction of Power Particles [de Goes et al. 2015] by computing volume-constrained density kernels.
Ziyin Qu   +3 more
openaire   +1 more source

Model description of a two-dimensional electrostatic particle-in-cell simulation parallelized with a graphics processing unit for plasma discharges

Plasma Research Express, 2019
Many key aspects of low-temperature plasmas include nonlinear, transient, and kinetic effects related to the spatio-temporal variation of electron energy distribution function (EEDF) which cannot be treated in a fluid simulation model.
M. Hur   +4 more
semanticscholar   +1 more source

Particle-in-Cell Codes for plasma-based particle acceleration

, 2015
Basic principles of particle-in-cell (PIC ) codes with the main application for plasma-based acceleration are discussed. The ab initio full electromagnetic relativistic PIC codes provide the most reliable description of plasmas.
A. Pukhov
semanticscholar   +1 more source

Dynamic Investigation of Battery Materials via Advanced Visualization: From Particle, Electrode to Cell Level

Advances in Materials, 2022
Li‐ion batteries, the most‐popular secondary battery, are typically electrochemical systems controlled by ion‐insertion dynamics. The battery dynamics involve mass transport, charge transfer, ion–electron coupled reactions, electrolyte penetration, ion ...
Cheng Zeng   +4 more
semanticscholar   +1 more source

Evolution of Particle-in-Cell Plasma Simulation

IEEE Transactions on Plasma Science, 2013
Particle-in-Cell (PIC) methods first made it feasible to simulate plasmas and microwave devices in two dimensions on 1960's computers. In this approach, the electromagnetic interactions between charged particles are mediated by a spatial mesh, on which currents and field are defined.
openaire   +1 more source

Massively parallel microscopic particle-in-cell

Computer Physics Communications, 2017
Abstract The microscopic particle-in-cell (MicPIC) method was developed to model classical light–matter interaction in strongly-coupled plasma systems. It effectively overcomes the limitations of the particle-in-cell and molecular dynamics techniques by combining them into a single, unified framework to solve for both electromagnetic wave propagation
G. Bart   +5 more
openaire   +1 more source

Boundary integral corrected particle-in-cell

2008 IEEE 35th International Conference on Plasma Science, 2008
Numerical heating is a serous problem in particle-in-cell (PIC) modeling of cross field diffusion. Recent work by the author has shown that for, electrostatic problems, the boundary integral treecode (BIT) has far less numerical heating than traditional PIC and that numerical heating can be nearly eliminated if regularization is added to the BIT field ...
Andrew Christlieb, Keith Cartwright
openaire   +1 more source

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