Results 51 to 60 of about 464 (190)
Special issue: Machine learning methods in plasma physics
Contributions to Plasma Physics, Volume 63, Issue 5-6, June-July 2023.
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Nonlinear Gyrokinetic Simulation of the Magnetosphere‐Ionosphere Feedback Coupling
Abstract A nonlinear gyrokinetic simulation is applied to the magnetosphere‐ionosphere (M‐I) coupling system to investigate spontaneous growth of auroral structures and electron acceleration self‐consistently. Perturbations of electron density, potential and field‐aligned current in the auroral ionosphere develop through the feedback instability ...
T.‐H. Watanabe, K. Fujita, S. Maeyama
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We present a more detailed numerical analysis of the global GENE-3D simulations of Bähner et al (the W7-X Team) 2026 Nucl. Fusion 66 016007, focusing on turbulent heat and particle transport and the role of the equilibrium radial electric field across ...
A. Bañón Navarro +20 more
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Abstract Magnetohydrodynamic simulations of the Alfvénic magnetosphere‐ionosphere (M‐I) coupling reveal a comprehensive picture of nonlinear development of the feedback instability, demonstrating spontaneous growth of auroral structures of density and current enhancements, vortex formation, turbulence transition, and energy cascade.
T.‐H. Watanabe, K. Fujita, S. Maeyama
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Scalable Quasineutral Solver for Gyrokinetic Simulation [PDF]
La modélisation du transport turbulent est un point clef pour prédire les propriétés de confinement d'un plasma de fusion. La théorie gyrocinétique propose une description à 5 dimensions permettant de calculer et comprendre les effets cinétiques dans un plasma.
Latu, Guillaume +3 more
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Hamiltonian gyrokinetic Vlasov–Maxwell system [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
J.W. Burby +3 more
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Searching for Universality of Turbulence in the Earth's Magnetosphere
Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
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T3ST code: turbulent transport in tokamaks via stochastic trajectories
We introduce the Turbulent Transport in Tokamaks via Stochastic Trajectories (T3ST) code, designed to address the problem of turbulent transport using a statistical approach complementary to gyrokinetics.
D.I. Palade, L.M. Pomârjanschi
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ABSTRACT The highly anisotropic, multi‐scale nature of fusion plasma simulations in tokamaks, combined with the complexity in the geometries of plasma‐facing components and magnetic equilibrium, challenges numerical schemes. They therefore require the development of advanced numerical techniques to enhance computational efficiency and enable codes to ...
Marcello Capasso +3 more
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Abstract We introduce a fast and invertible approximation for fusion plasma simulation data represented as 2D planar meshes with connectivities approximating magnetic field lines along the toroidal dimension in deformed 3D toroidal spaces. Scientific variables (e.g., density and temperature) in these fusion data are interpolated following a complex ...
Congrong Ren +6 more
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