Bulletin of the American Physical Society
63rd Annual Gaseous Electronics Conference and 7th International Conference on Reactive Plasmas
Volume 55, Number 7
Monday–Friday, October 4–8, 2010; Paris, France
Session MR2: Modeling and Simulation II |
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Chair: Annemie Bogaerts, University of Antwerp, Belgium Room: 151 |
Thursday, October 7, 2010 8:30AM - 8:45AM |
MR2.00001: Electron Transport in Magnetron Discharges Tiberiu Minea, Lise Caillault, Agustin Lifschitz, Jean Bretagne, Claudiu Costin In most of the magnetized plasma devices and astrophysics plasmas, electron cross field transport is significantly different from the classical theory and occasionally even from Bohm's diffusion. According to recent publications, this transport has been shown to be anomalous. Numerical and analytical investigations reported the possibility of so-called turbulence phenomena, originating from high magnetic field gradients within the boundary layer. The present work reports on the study of the electron transport in magnetron discharge, as it comes out from four different models: classical fluid theory, fluid model including magnetic turbulence, PIC-MC model for DC and pulsed magnetron discharges. All numerical codes have been developed to describe plasma dynamics in two dimensions (2D) for magnetron reactors operating at low pressure ($\sim$1 Pa) in argon. The obtained plasma behaviours are compared and electron transport is discussed. [Preview Abstract] |
Thursday, October 7, 2010 8:45AM - 9:00AM |
MR2.00002: ABSTRACT WITHDRAWN |
Thursday, October 7, 2010 9:00AM - 9:15AM |
MR2.00003: Darwin Particle-in-Cell Code Simulations of Dual Frequency Capacitively Coupled Discharges on Graphical Processing Units Denis Eremin, Philipp Mertmann, Markus Gebhardt, Thomas Mussenbrock, Ralf-Peter Brinkmann Demands of the industrial plasma-assisted production processes drive frequency and size of the plasma discharges to ever higher values. Under such conditions the electromagnetic effects, such as the standing surface wave or the skin effect begin to play a significant role. So far there has been no fully self-consistent kinetic tool for description of such plasmas. A particle-in-cell (PIC) code offers such a tool. To circumvent Courant condition, severly limiting applicability of the explicit electromagnetic PIC simulations, we use Darwin approximation to solve for the electromagnetic fields, whereby the transversal component of the displacement current is neglected in the induction law. We demonstrate that all the important effects are reproduced in the framework of Darwin approximation both analytically and numerically. PIC codes are amenable to the parallelization on the graphical processing units (GPUs), a recent development in the field of high performance scientific computing. We will demosntrate a significant speedup of the PIC code massively parallelized on a single GPU or a cluster of GPUs compared to the calculations on a single CPU. [Preview Abstract] |
Thursday, October 7, 2010 9:15AM - 9:30AM |
MR2.00004: Particle in Cell Simulation of CCPs using Graphics Processing Units Philipp Mertmann, Denis Eremin, Thomas Mussenbrock, Peter Awakowicz Particle-In-Cell (PIC) codes are a well established tool for simulations of plasmas. Main drawback is the computational power needed by such programs and thereby the time required for convergence. Currently GPU-computing becomes an important topic in a wide range of scientific applications. Using highly parallel graphics processing units (GPUs) can enhance the speed of the whole simulation by more than one order of magnitude. In this contribution we show the implementation and speedup of PIC codes using Nvidia's CUDA environment in C for a one-dimensional plasma. [Preview Abstract] |
Thursday, October 7, 2010 9:30AM - 9:45AM |
MR2.00005: Performance Improvement of a Particle-in-Cell Simulation Using Graphic Processing Units Seok Won Hwang, Sang-Young Chung, Hae June Lee Millions or of time steps are needed to reach a steady state in a conventional plasma discharge simulations or to simulate electron beam acceleration to the energy of several hundred MeV in a laser-plasma interaction. A graphic processing unit (GPU) has several hundred arithmetic logic units (ALUs), and thus it is adequate to solve problems with a single instruction multiple data (SIMD) algorithm. To improve the performance of particle-in-cell (PIC) simulations using GPUs, particle push algorithms as well as the field solver must be parallelized in a simulation. In parallel codes using GPUs, most of calculation time is allocated at the memory access between GPU processors and GPU memory. Therefore, removal of the bottleneck of memory access is an important factor for a performance improvement. To reduce the bottleneck, the information of simulation particles is needed to be rearranged in memory. In this work, the methods to reduce simulation times in the parallelization with GPU are suggested, and the comparison of performance improvement are presented for various factors. [Preview Abstract] |
Thursday, October 7, 2010 9:45AM - 10:00AM |
MR2.00006: Computer simulations on the phase separation of 3D binary complex plasmas Ke Jiang, Lujing Hou, Alexei Ivlev, Yangfang Li, Hubertus Thomas, Gregor Morfill One of the most ubiquitous phenomena in fluid mixtures is phase separation and segregation and it has been studied in many different systems such as colloids, polymer blends and alloys for a few decades, and recently investigated theoretically in binary complex plasmas (BCP), i.e., complex plasma consisting of mixtures of two different particle sizes. Langevin dynamics simulations have been used to investigate the structure and dynamics of a three-dimensional binary complex plasma. We showed that BCP undergoes spinodal decomposition with a positive nonaddivity at low temperature. Pair correlation functions have been evaluated to characterize the structure of the binary complex plasma and to determine the phase separation of the system. The local mole fraction and Kirkwood-Buff integrals on the time evolution were monitored to determine the rate of demixing. Our simulations will help predict the binary complex plasma experiments on board the International Space Station. [Preview Abstract] |
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