Electromagnetic Particle-in-cell Algorithms on Unstructured Meshes for Kinetic Plasma Simulations

Electromagnetic Particle-in-cell Algorithms on Unstructured Meshes for Kinetic Plasma Simulations
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Book Synopsis Electromagnetic Particle-in-cell Algorithms on Unstructured Meshes for Kinetic Plasma Simulations by : Dong-Yeop Na

Download or read book Electromagnetic Particle-in-cell Algorithms on Unstructured Meshes for Kinetic Plasma Simulations written by Dong-Yeop Na and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Plasma is a significantly ionized gas composed of a large number of charged particles such as electrons and ions. A distinct feature of plasmas is the collective interaction among charged particles. In general, the optimal approach used for modeling a plasma system depends on its characteristic (temporal and spatial) scales. Among various kinds of plasmas, collisionless plasmas correspond to those where the collisional frequency is much smaller than the frequency of interests (e.g. plasma frequency) and the mean free path is much longer than the characteristic length scales (e.g. Debye length). Collisionless plasmas consisting of kinetic space charge particles interacting with electromagnetic fields are well-described by Maxwell-Vlasov equations. Electromagnetic particle-in-cell (EM-PIC) algorithms solve Maxwell-Vlasov systems on a computational mesh by employing coarse-grained superparticle. The concept of superparticle, which may represent millions of physical charged particles (coarse-graining of the phase space), facilitates the realization of computer simulations for underscaled kinetic plasma systems mimicking the physics of real kinetic plasma systems.


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