Relevant bibliographies by topics / Simulation plasma

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Simulation plasma'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Simulation plasma"

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Prikhodko, V. V., Z. Chen, I. A. Kotelnikov, D. V. Yakovlev, J. Yu, and Q. Zeng. "SIMULATION OF PLASMA PARAMETERS FOR ALIANCE PROJECT." Problems of Atomic Science and Technology, Ser. Thermonuclear Fusion 44, no. 2 (2021): 166–67. http://dx.doi.org/10.21517/0202-3822-2021-44-2-166-167.

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Langdon, A. Bruce. "Implicit plasma simulation." Space Science Reviews 42, no. 1-2 (October 1985): 67–83. http://dx.doi.org/10.1007/bf00218224.

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ALVARADO, DANIEL, and FRANCISCO FRUTOS ALFARO. "SIMULATION OF MULTIPLE PLASMA EDDIES IN 2D." Revista de Matemática: Teoría y Aplicaciones 28, no. 1 (December 17, 2020): 95–104. http://dx.doi.org/10.15517/rmta.v28i1.42135.

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In this contribution, we present the simulations of convective plasma cells of the Sun in two dimensions. With a simple stream function, it is possible to visualize multiple n × n convective cells. To obtain the simulation, we solve the magnetic diffusion equation with a fourth order scheme. Some applications for this simulations are also presented.
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Pflug, Andreas, Michael Siemers, Christoph Schwanke, and Bernd Szyszka. "Simulation von Plasma-Beschichtungsprozessen." Vakuum in Forschung und Praxis 22, no. 3 (May 2010): 31–34. http://dx.doi.org/10.1002/vipr.201000419.

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Taccogna, Francesco, Savino Longo, Mario Capitelli, and Ralf Schneider. "Stationary plasma thruster simulation." Computer Physics Communications 164, no. 1-3 (December 2004): 160–70. http://dx.doi.org/10.1016/j.cpc.2004.06.025.

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Forslund, David W. "Fundamentals of plasma simulation." Space Science Reviews 42, no. 1-2 (October 1985): 3–16. http://dx.doi.org/10.1007/bf00218219.

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Takagi, Shigeyuki, Takumi Chikata, and Makoto Sekine. "Plasma simulation for dual-frequency capacitively coupled plasma incorporating gas flow simulation." Japanese Journal of Applied Physics 60, SA (October 30, 2020): SAAB07. http://dx.doi.org/10.35848/1347-4065/abc106.

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Kashchenko, Nikolay M., Sergey A. Ishanov, and Sergey V. Matsievsky. "Simulation equatorial plasma bubbles started from plasma clouds." Computer Research and Modeling 11, no. 3 (June 2019): 463–76. http://dx.doi.org/10.20537/2076-7633-2019-11-3-463-476.

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Abe, Hirotada. "Simulation of the Plasma Waves." Kakuyūgō kenkyū 54, no. 5 (1985): 512–31. http://dx.doi.org/10.1585/jspf1958.54.512.

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Belov, A. A., and N. N. Kalitkin. "Simulation of heterogeneous plasma microfield." Доклады Академии наук 489, no. 1 (November 10, 2019): 22–26. http://dx.doi.org/10.31857/s0869-5652489122-26.

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Optical properties of plasma are determined by presence of fluctuating micro-scopic electric field. In the present work, we construct a simple ab initio model of plasma microfield accounting for its heterogeneity up to octupole term for the first time. Comparison with experiments shows that only this model describes the observed number of spectral lines.
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Dissertations / Theses on the topic "Simulation plasma"

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Suksila, Thada. "The cathode plasma simulation." Thesis, University of Southern California, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3704256.

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Since its invention at the University of Stuttgart, Germany in the mid-1960, scientists have been trying to understand and explain the mechanism of the plasma interaction inside the magnetoplasmadynamics (MPD) thruster. Because this thruster creates a larger level of efficiency than combustion thrusters, this MPD thruster is the primary cadidate thruster for a long duration (planetary) spacecraft. However, the complexity of this thruster make it difficult to fully understand the plasma interaction in an MPD thruster while operating the device. That is, there is a great deal of physics involved: the fluid dynamics, the electromagnetics, the plasma dynamics, and the thermodynamics. All of these physics must be included when an MPD thruster operates.

In recent years, a computer simulation helped scientists to simulate the experiments by programing the physics theories and comparing the simulation results with the experimental data. Many MPD thruster simulations have been conducted: E. Niewood et al.[5], C. K. J. Hulston et al.[6], K. D. Goodfellow[3], J Rossignol et al.[7]. All of these MPD computer simulations helped the scientists to see how quickly the system responds to the new design parameters.

For this work, a 1D MPD thruster simulation was developed to find the voltage drop between the cathode and the plasma regions. Also, the properties such as thermal conductivity, electrical conductivity and heat capacity are temperature and pressure dependent. These two conductivity and heat capacity are usually definded as constant values in many other models. However, this 1D and 2D cylindrical symmetry MPD thruster simulations include both temperature and pressure effects to the electrical, thermal conductivities and heat capacity values interpolated from W. F. Ahtye [4]. Eventhough, the pressure effect is also significant; however, in this study the pressure at 66 Pa was set as a baseline.

The 1D MPD thruster simulation includes the sheath region, which is the interface between the plasma and the cathode regions. This sheath model [3] has been fully combined in the 1D simulation. That is, the sheath model calculates the heat flux and the sheath voltage by giving the temperature and the current density. This sheath model must be included in the simulation, as the sheath region is treated differently from the main plasma region.

For our 2D cylindrical symmetry simulation, the dimensions of the cathode, the anode, the total current, the pressure, the type of gases, the work function can be changed in the input process as needed for particular interested. Also, the sheath model is still included and fully integrated in this 2D cylindrical symmetry simulation at the cathode surface grids. In addition, the focus of the 2D cylindrical symmetry simulation is to connect the properties on the plasma and the cathode regions on the cathode surface until the MPD thruster reach steady state and estimate the plasma arc attachement edge, electroarc edge, on the cathode surface. Finally, we can understand more about the behavior of an MPD thruster under many different conditions of 2D cylindrical symmetry MPD thruster simulations.

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Beck, Arnaud. "Simulation N-Corps d'un plasma." Phd thesis, Observatoire de Paris, 2008. http://tel.archives-ouvertes.fr/tel-00359057.

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La simulation N-Corps d'un plasma consiste à calculer l'interaction coulombienne mutuelle entre N particules chargées. Nous avons adapté un algorithme N-Corps de type ``code en arbre'', utilisé avec succès dans le cas gravitationnel, pour la simulation de plasmas. Pour l'instant, nous avons trouvé deux champs d'applications pour lesquels cette technique est particulièrement bien adaptée.

Tout d'abord les problèmes d'expansion de plasma dans le vide. Ce genre de simulation fait coexister des densités d'ordres de grandeur très différents. Certaines zones peuvent avoir un comportement hydrodynamique pendant que d'autres sont peuplées de particules avec des trajectoires balistiques car trop énergétiques. Les protons, notamment, peuvent ainsi être accélérés à des vitesses requises pour la fusion. Ce type de problème, faisant intervenir une interface plasma-vide, est pratiquement impossible à étudier à l'aide des techniques de simulation courantes (e.g. codes MHD, Vlasov, Fokker-Planck, ...).

L'autre champ d'application est celui de la simulation des plasmas modérément ou fortement couplés qui concerne de nombreux plasmas de laboratoire, mais également des plasmas astrophysiques, tels, par exemple, la zone convective du Soleil. Dans les plasmas dits couplés, les collisions ``binaires proches'' entre charges ne peuvent pas être négligées. Or, les modèles numériques de type Fokker-Planck, très majoritairement utilisés pour simuler des plasmas faiblement collisionnels, n'en tiennent pas compte ce qui les rends inadéquats à ce type de plasma. La technique N-Corps, quant à elle, gère chaque particule individuellement et peut très bien décrire précisément les trajectoires de particules subissant ce genre de déviation violente.
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Hendricks, Brian Reginald. "Simulation of plasma arc cutting." Thesis, Peninsula Technikon, 1999. http://hdl.handle.net/20.500.11838/1245.

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Thesis (MTech (Mechanical Engineering))--Peninsula Technikon, 1999
The simulation of Plasma Arc Cutting is presented in this study. The plasma arc cutting process employs a plasma torch with a very narrow bore to produce a transferred arc to the workpiece. A technique for modelling plasma arc cutting has been developed by applying the thermo-metallurgical model to the process and integrating a model of material removal to this model. The model is solved using the finite element method using the FE package SYSWORLD, more specifically SYSWELD. The objective is to determine the minimum energy required to cut a plate of some thickness using this virtual model. The characteristics of the cut need to exhibit the characteristics of a "high quality cut". The model presented can predict the kerf size given certain process variable settings. The numerical results obtained are assessed by conducting experiments. By maintaining Ill1rumum energy input cost savings can be made through energy savings, limiting additional finishing processes and reducing expense of shortening the electrode and nozzle lifetimes. The modelling of the PAC process using virtual design techniques provides a cost-effective solution to the manufacturing industries with respect to process specification development. This plays an important role in South Africa's transition into a competitive global market. It is envisaged that the model will provide an alternative more efficient, non-destructive means of determining the optimum process variable settings for the plasma arc cutting process.
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Loewenhardt, Peter Karl. "A Vlasov plasma simulation code." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27586.

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A 1-1/2 dimensional, electromagnetic Vlasov plasma simulation code, relativistically correct, was constructed and tested. The code can deal with one or two species, each with a Maxwellian distribution and a possible drift velocity. The code also allows external fields, such as a laser, to be included in the simulations. Simulations of Landau damping, the two-stream instability and stimulated Raman scattering were carried out and compared with theory and with the results of the particle code EM1. When dealing with electrostatic problems, the Vlasov code gave results agreeing very closely with theory in both non-relativistic and relativistic regimes. Here the Vlasov code preformed better than EM1 which had problems with background noise and longer run times. When a laser field was included within the simulations, however, the Vlasov code produced some spurious features, unlike EM1. These anomalous features may be caused by aliasing, recurrence or by some other unknown effect. Since realistic results are produced as well, it is believed that this problem can be overcome. When a very high intensity laser was included in the simulations the Vlasov code produced much better results but was plagued by very long run times.
Science, Faculty of
Physics and Astronomy, Department of
Graduate
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Liu, Hongqin 1956. "Simulation of a plasma particle generator." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31571.

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The goal of this research was to simulate the nucleation and particle growth in a tubular plasma particle generator and investigate the effects of various entrance and boundary conditions on the particle size distribution and production rate.
The fluid flow is laminar and its domain is two-dimensional axi-symmetric and a radial quench gas injection is introduced. The method of moments was used to model the particle generation and growth starting with the dynamic aerosol equation and the assumption of a log-normal distribution function. The governing equations are solved numerically and the velocity, concentration, temperature, particle size and density profiles are obtained for various entrance and boundary conditions.
The following conclusions were reached: increasing the length of the generator tube or metal concentration gives more product, larger particle size and narrower size distribution; higher quench gas injection rates or entrance flow rate produces finer particles with a broader size distribution; increasing entrance temperature leads to smaller particles with narrower size distribution.
In addition, for a quick prediction, an artificial neural network (ANN) model was used. The ANN was trained with the data from the numerical simulations. Within the ranges of conditions examined, the output can be obtained in few seconds rather than several hours needed in the original simulations.
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Koen, Etienne. "A Simulation Approach to Plasma Waves." Doctoral thesis, KTH, Rymd- och plasmafysik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-151415.

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Electrostatic waves in the form of Broadband Electrostatic Noise (BEN) have been observed inthe Earth’s auroral region associated with high geomagnetic activity. Their broad frequencyspectrum consists of three electrostatic modes, namely electron plasma, electron acoustic andbeam-driven modes.A 1D Particle-in-Cell (PIC) simulation was developed to investigate the characteristics ofthe electrostatic waves found in such a plasma. Dispersion, phase space and spatial electricfield diagrams were constructed from the output of the PIC simulation which was used todescribe the wave dispersion and spatial field structures found in a plasma. A three electroncomponent plasma was studied using a Maxwellian distribution function to model their ve-locities. Beam-driven waves were found to dominate the frequency spectrum while electronplasma and electron acoustic waves were damped for a high beam velocity. Furthermore, for ahigh beam velocity, solitary waves are generated by electron holes (positive potentials), givingrise to a bipolar spatial electric field structure moving in the direction of the beam. Increasingthe beam temperature allows the beam electrons to mix more freely with the hot and coolelectrons, which leads to electron plasma and electron acoustic waves being enhanced whilebeam-driven waves are damped. Decreasing the beam density and velocity leads to dampingof beam-driven waves, while electron plasma and electron acoustic waves are enhanced.The electron acoustic mode was studied with the addition of a static background magneticfield. When the angle of wave propagation is perfectly perpendicular to the backgroundmagnetic field, a set of harmonics, called Bernstein modes, were produced. These modesare characterized by their nodes being furtherly displaced along the wave vector axis for anincrease in the node (harmonic) number. The model was further generalized by allowing theangle of wave propagation, θ, with respect to the magnetic field to be varied, thus enabling thestudy of the obliquely propagating electron acoustic mode. Both the amplitude and frequencyof the electron acoustic mode was found to decrease as θ increases.Measurements in Saturn’s magnetosphere have shown the co-existence of two electron (hotand cool) components. The electron velocities are best described by a κ-distribution (insteadof a Maxwellian) which has a high-energy tail. Using an adapted PIC simulation, the study ofelectron plasma and electron acoustic waves was extended by using a κ-distribution to describethe electron velocities with low κ indices. Electron acoustic waves are damped over most wavenumber ranges while electron plasma waves are weakly damped at low wave numbers anddamped for all other wave numbers. Furthermore, the study was extended by introducingthe motion of ions to study the ion acoustic waves in Saturn’s magnetosphere. While the ionacoustic mode was found to be relatively insensitive to the κ indices of the electrons, it isfound to be sensitive to the electron temperature and density ratios.

QC 20140922

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Hanahoe, Kieran. "Simulation studies of plasma wakefield acceleration." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/simulation-studies-of-plasma-wakefield-acceleration(ac0c9742-2aed-493b-8356-e30f3db97e1e).html.

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Plasma-based accelerators offer the potential to achieve accelerating gradients orders of magnitude higher than are typical in conventional accelerators. A Plasma Accelerator Research Station has been proposed using the CLARA accelerator at Daresbury Laboratory. In this thesis, theory and the results of particle-in-cell simulations are presented investigating experiments that could be conducted using CLARA as well as the preceding VELA and CLARA Front End. Plasma wakefield acceleration was found to be viable with both CLARA and CLARA Front End, with accelerating gradients of GV/m and 100 MV/m scale respectively. Drive-witness and tailored bunch structures based on the CLARA bunch were also investigated. Plasma focus- ing of the VELA and CLARA Front End bunches was studied in simulations, showing that substantial focusing gradient could be achieved using a passive plasma lens. A plasma beam dump scheme using varying plasma density is also presented. This scheme allows the performance of a passive plasma beam dump to be maintained as the bunch is decelerated and has some advantages over a previously proposed method.
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Sarret, Frédéric. "Simulation numérique de dépôts céramiques plasma." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0066/document.

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Cette thèse apporte une contribution à la simulation numérique de la construction de dépôts dans le cadre de la projection plasma type APS (Atmospheric Plasma Spraying). Ce travail est focalisé sur la construction d’un volume représentatif du revêtement en prenant en compte l’ensemble des phénomènes propres au procédé, tels que la nature de l’écoulement de gaz, la cinétique (multiphasique, mouillabilité) et la thermique (transferts thermiques, résistance thermique de contact, solidification) durant l’impact et l’empilement de particules. Une méthode numérique particulière, appelée VOF-SM (Volume Of Fluid - Sub Mesh), est développée. La simulation de l’impact d’un jet instationnaire et turbulent de plasma ArH2 sur un substrat a été réalisée pour définir la nature de l’écoulementen proche paroi et le transfert thermique entre cet écoulement et le substrat. Les phénomènes propres à l’impact de particules ont été intégrés au code de calcul Thétiset validés indépendamment par comparaison à des solutions analytiques et combinés par comparaison à un cas d’étude expérimentale millimétrique. Enfin, une étude d’impacts successifs de particules de Zircone Yttriée sur un substrat en acier a été menée, par une approche en similitudes thermique et cinétique pour pallier la difficulté de la résolution à petites échelles
This PhD thesis is a contribution to the numerical simulation of the plasma sprayedcoating build-up by APS process (Atmospheric Plasma Spraying). This work focuses onthe build-up of a representative volume of the coat considering a great range of phenomenonappearing in APS process such as gas flow properties, kinetic (multiphase flow,wettability) and thermal (heat transfers, thermal contact resistance, solidification) duringthe impact and steaking of particles. An original numerical method, named VOF-SM(Volume Of Fluid - Sub Mesh) is developped. The simulation of the impact of an unsteadyand turbulent ArH2 plasma flow is carried out in order to define the gas flow closeto the wall and heat transferred to the substrate by the plasma. Specific phenomena of theimpact of particles were incorporated into the CFD code (Thétis) and validated independentlyby caparison with analytical solutions, then together combined by the comparisonto a millimeter size impact experimental data. Finally, a study of successive impacts ofYttria-Stabilized Zirconia particles onto a steel substrate was carried out by thermal andkinetic approach similarities to overcome the difficulty of resolving small scales
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Honda, Mitsuru. "Transport simulation of tokamak plasmas including plasma rotation and radial electric field." 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/136227.

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Frignani, Michele <1978&gt. "Simulation of gas breakdown and plasma dynamics in plasma focus devices." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2007. http://amsdottorato.unibo.it/414/.

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Books on the topic "Simulation plasma"

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Büchner, Jörg, Manfred Scholer, and Christian T. Dum, eds. Space Plasma Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36530-3.

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Birdsall, Charles K. Plasma physics via computer simulation. New York: McGraw-Hill, 1985.

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Bruce, Langdon A., ed. Plasma physics via computer simulation. Bristol: A. Hilger, 1991.

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Bruce, Langdon A., Verboncoeur John Paul, and Vahedi V, eds. Plasma physics via computer simulation. Bristol, Eng: Adam Hilger, 1991.

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N, Dnestrovskiĭ I͡U. Numerical simulation of plasmas. Berlin: Springer-Verlag, 1986.

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Dnestrovskii, Yuri N. Numerical Simulation of Plasmas. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986.

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The hybrid multiscale simulation technology: An introduction with application to astrophysical and laboratory plasmas. Berlin: Springer, 2002.

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Wilson, Gordon R. The high latitude ionosphere-magnetosphere transition region: Simulation and data comparison. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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Koga, J. Simulation of radial expansion of an electron beam injected into a background plasma. San Antonio, Tex: Dept. of Space Sciences, Southwest Research Institute, 1990.

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Blum, Jacques. Numerical simulation and optimal control in plasma physics: With applications to Tokamaks. Paris: Gauthier-Villars, 1989.

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Book chapters on the topic "Simulation plasma"

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Bell, A. R. "Computational Simulation of Plasmas." In Plasma Physics, 13–35. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4758-3_2.

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Langdon, A. Bruce. "Implicit Plasma Simulation." In Space Plasma Simulations, 67–83. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_6.

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Forslund, David W. "Fundamentals of Plasma Simulation." In Space Plasma Simulations, 3–16. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_1.

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Pritchett, P. L. "Electromagnetic Particle Simulation Codes." In Space Plasma Simulations, 17–27. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_2.

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Robinson, Alex P. L. "Hydrodynamic Simulation." In Laser-Plasma Interactions and Applications, 377–95. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00038-1_14.

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Dawson, John M. "The Future of Space Plasma Simulation." In Space Plasma Simulations, 187–208. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_14.

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Decyk, Viktor K. "Wave-Particle Diagnostics for Plasma Simulation." In Space Plasma Simulations, 113–30. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_9.

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Denavit, J. "Time-Implicit Simulation of Particle-Fluid Systems." In Space Plasma Simulations, 85–102. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_7.

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Omidi, N., and D. Winske. "Theory and Simulation of Cometary Shocks." In Cometary Plasma Processes, 37–47. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm061p0037.

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Barnes, Christopher W. "Optimizing Computational Efficiency and User Convenience in Plasma Simulation Codes." In Space Plasma Simulations, 145–51. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5454-0_11.

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Conference papers on the topic "Simulation plasma"

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Woo, H. J., K. S. Chung, Y. S. Choi, M. J. Lee, J. J. Do, G. S. Choi, and Y. J. Seo. "DiPS: Diversified Plasma Simulator for Divertor, Space and Processing Plasma Simulation." In IEEE Conference Record - Abstracts. 2005 IEEE International Conference on Plasma Science. IEEE, 2005. http://dx.doi.org/10.1109/plasma.2005.359227.

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Senig, James, and Xiaowen Wang. "Numerical Simulation of Plasma Interfaces Using the Starfish Plasma Simulation Code." In AIAA AVIATION 2020 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-3245.

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Kuzmin, Stanislav G. "Numerical simulation of ultracold plasmas." In NON-NEUTRAL PLASMA PHYSICS IV: Workshop on Non-Neutral Plasmas. AIP, 2002. http://dx.doi.org/10.1063/1.1454273.

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Mizuno, N. "Simulation of Hysteresis in Glow Discharge." In PLASMA PHYSICS: 11th International Congress on Plasma Physics: ICPP2002. AIP, 2003. http://dx.doi.org/10.1063/1.1593963.

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Yatsuyanagi, Y. "Filamentary Magnetohydrodynamic Simulation Using MDGRAPE-2." In PLASMA PHYSICS: 11th International Congress on Plasma Physics: ICPP2002. AIP, 2003. http://dx.doi.org/10.1063/1.1594002.

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Mamunuru, Meenakshi, Song Guo, DartKen Poon, Debashish Burman, Douglas Ernie, Terry Simon, and Uwe Kortshagen. "Separation Control Using Plasma Actuator: Simulation of Plasma Actuator." In 39th AIAA Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-4186.

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Lapenta, G. "Nonlinear PIC simulation in a Penning trap." In NON-NEUTRAL PLASMA PHYSICS IV: Workshop on Non-Neutral Plasmas. AIP, 2002. http://dx.doi.org/10.1063/1.1454321.

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Burrage, P. M., K. Burrage, K. Kurowski, M. Lorenc, D. V. Nicolau, M. Swain, and M. A. Ragan. "A Parallel Plasma Membrane Simulation." In 2009 International Workshop on High Performance Computational Systems Biology (HiBi 2009). IEEE, 2009. http://dx.doi.org/10.1109/hibi.2009.18.

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Correa-Reina, G., F. Casanova, M. Vénere, C. Moreno, H. Bruzzone, and A. Clausse. "Computational simulation of plasma focus." In PLASMA PHYSICS: IX Latin American Workshop. AIP, 2001. http://dx.doi.org/10.1063/1.1374913.

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Ostrikov, K. N. "Diagnostics and Simulation of Low-Frequency Inductively Coupled Plasmas." In PLASMA PHYSICS: 11th International Congress on Plasma Physics: ICPP2002. AIP, 2003. http://dx.doi.org/10.1063/1.1593868.

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Reports on the topic "Simulation plasma"

1

Greenwald, Martin. Plasma Simulation Program. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1029999.

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Sjostrom, Travis. Dense Quantum Plasma Simulation. Office of Scientific and Technical Information (OSTI), April 2016. http://dx.doi.org/10.2172/1253543.

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Hassanein, A. Plasma disruption modeling and simulation. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10167465.

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Birdsall, C. K. Plasma theory and simulation research. Office of Scientific and Technical Information (OSTI), January 1989. http://dx.doi.org/10.2172/5589450.

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Marinak, M. M. White paper on plasma simulation. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1560113.

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Birdsall, C. K. Plasma Theory and Simulation Research. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada231777.

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Sperling, J. L., P. G. Coakley, and N. C. Wild. Laboratory Simulation of Plasma Structure in Later-Time HANE Plasmas. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada170627.

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Lin, Zhihong. SciDAC Center for Plasma Edge Simulation. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1110793.

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Berk, Herbert L. PLASMA ENERGETIC PARTICLES SIMULATION CENTER (PEPSC). Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1132300.

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Ross, D. W. Plasma confinement theory and transport simulation. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/6985327.

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