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Using numerical simulations, we investigate the equilibrium dynamics of a single component fluid with Yukawa interaction potential. We show that, for a wide range of densities and temperatures, the dynamics of the system are in striking…

Plasma Physics · Physics 2015-05-28 James P. Mithen , Jérôme Daligault , Basil J. B. Crowley , Gianluca Gregori

An optical vortex is a light wave with a twisting wavefront around its propagation axis and null intensity in the beam center. Its unique spatial structure of field lends itself to a broad range of applications, including optical…

Plasma Physics · Physics 2017-12-04 Kenan Qu , Qing Jia , Nathaniel J. Fisch

AI models have demonstrated strong predictive capabilities for various tokamak instabilities--including tearing modes (TM), ELMs, and disruptive event--but their opaque nature raises concerns about safety and trustworthiness when applied to…

We present TopoTB, a software package written in the Mathematica language, designed to compute electronic structures, topological properties, and phase diagrams based on tight-binding models. TopoTB is user-friendly, with an interactive…

Materials Science · Physics 2024-03-14 Xinliang Huang , Fawei Zheng , Ning Hao

The narrow power decay-length ($\lambda_q$), recently found in the scrape-off layer (SOL) of inner-wall limited (IWL) discharges in tokamaks, is studied using 3D, flux-driven, global two-fluid turbulence simulations. The formation of the…

Plasma Physics · Physics 2017-01-04 Federico D. Halpern , Paolo Ricci

Dielectric barrier discharge (DBD) plasma is used for various applications. DBD is also one of the most efficient and low-cost methods for active fluid flow control. In this study, a detailed physical model of DBD in atmospheric pressure at…

Plasma Physics · Physics 2023-04-13 Ramin Mehrabifard

The physical sciences require models tailored to specific nuances of different dynamics. In this work, we study outcome predictions in nuclear fusion tokamaks, where a major challenge are \textit{disruptions}, or the loss of plasma…

Plasma Physics · Physics 2024-01-02 Lucas Spangher , William Arnold , Alexander Spangher , Andrew Maris , Cristina Rea

Continuing the description of rf vacuum arcs from an earlier paper, we describe some aspects of the interaction of vacuum arcs that involve the surface. This paper describes aspects of plasma materials interactions that affect the arc and…

Accelerator Physics · Physics 2012-04-04 Zeke Insepov , Jim Norem , Thomas Proslier , Sudhakar Mahalingam , S. Veitzer

Pedestal modelling is crucial to predict the performance of future fusion devices. Current modelling efforts suffer either from a lack of kinetic physics, or an excess of computational complexity. To ameliorate these problems, we take a…

Plasma Physics · Physics 2018-06-06 Ian Abel , Axel Hallenbert

We set up a mapping procedure able to translate the evolution of the radial profile of fast ions, interacting with Toroidal Alfv\'en Eigenmodes, into the dynamics of an equivalent one dimensional bump-on-tail system. We apply this mapping…

We formulate a general shape and topology optimization problem in structural optimization by using a phase field approach. This problem is considered in view of well-posedness and we derive optimality conditions. We relate the diffuse…

Optimization and Control · Mathematics 2025-08-06 Luise Blank , Harald Garcke , Claudia Hecht , Christoph Rupprecht

The formation and the interaction of multiple cavities, induced by tightly focused femtosecond laser pulses, are studied by using a developed numerical tool, including the thermo-elasto-plastic material response. Simulations are performed…

Applied Physics · Physics 2018-04-18 R. Beuton , B. Chimier , J. Breil , D. Hébert , K. Mishchik , J. Lopez , P. H. Maire , G. Duchateau

One-dimensional steady-state plasma-field structures in overdense plasma are studied assuming that the electron temperature is uniform over plasma bulk and the ions are stationary. It is shown that there may exist solutions for electron…

Plasma Physics · Physics 2020-06-03 A. V. Korzhimanov , A. V. Kim

Detailed Computational Fluid Dynamics (CFD) simulations are too computationally expensive for the real-time control and design optimization of multiphase flow reactors. To address these limitations, we introduce CLARA, a software toolbox…

We describe a simple practical numerical method for simulating plasma driven within a vacuum chamber by a pulsed power generator. Typically, in this type of simulation, the vacuum region adjacent to the plasma is approximated as a highly…

We developed a portable code for dissipative particle dynamics (DPD) simulations. This Fortran program named CAMUS has a couple of notable features. One is the omission of constructing the so-called neighboring particles list, providing a…

Chemical Physics · Physics 2018-07-03 Hideo Doi , Koji Okuwaki , Takamitsu Naito , Sona Saitou , Yuji Mochizuki

In the merging-compression method of plasma start-up, two flux-ropes with parallel toroidal current are formed around in-vessel poloidal field coils, before merging to form a spherical tokamak plasma. This start-up method, used in the…

Plasma Physics · Physics 2014-03-04 A. Stanier , P. Browning , M. Gordovskyy , K. G. McClements , M. P. Gryaznevich , V. S. Lukin

In tokamak experiments, sufficiently strong $E\times B$ flow shear reduces turbulent transport, thereby improving the prospects for fusion power plants. It is therefore of great importance to efficiently explore parameter space to find…

Plasma Physics · Physics 2024-01-30 Haomin Sun , Justin Ball , Stephan Brunner , Arnas Volčokas

Stellarators, together with tokamaks, represent the two mainstream approaches to realizing fusion energy via toroidal magnetic confinement of highly ionized gases - plasmas - at extremely high temperatures. Improving our understanding of…

Plasma Physics · Physics 2024-01-09 A. M. Wright , D. J Den Hartog , B. Geiger , C. Lu , A. Wolfmeister , B. J. Faber

Advanced imitation learning with structures like the transformer is increasingly demonstrating its advantages in robotics. However, deploying these large-scale models on embedded platforms remains a major challenge. In this paper, we…

Machine Learning · Computer Science 2024-11-19 Haizhou Ge , Ruixiang Wang , Zhu-ang Xu , Hongrui Zhu , Ruichen Deng , Yuhang Dong , Zeyu Pang , Guyue Zhou , Junyu Zhang , Lu Shi