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This work investigates toroidal momentum transport in type-I ELMy H-mode plasmas in the ASDEX Upgrade tokamak, focusing on the formation of hollow rotation profiles under strong electron cyclotron resonance heating (ECRH). Applying the…

When simulating runaway electron dynamics in tokamak disruptions, fluid models with lower numerical cost are often preferred to more accurate kinetic models. The aim of this work is to compare fluid and kinetic simulations of a large…

The Tore Supra tokamak is the largest superconducting magnetic fusion facility, has been devoted to long-duration high-performance discharge research. With a steady-state magnetic field and water cooled plasma facing components, discharges…

The time varying currents in the Ohmic transformer in the SST-1 tokamak induce voltages that drive large eddy currents in the passive structures like the vacuum vessel and cryostat. Since the vacuum vessel and the cryostat are toroidally…

In this paper we propose a vertical stabilization~(VS) control system for tokamak plasmas based on the extremum seeking (ES) algorithm. The gist of the proposed strategy is to inject an oscillating term in the control action and exploit a…

A suprathermal population of ions is present in tokamak plasmas due to external heating mechanisms and fusion reactions. These energetic particles (EP) can drive wave unstable, via inverse Landau damping. An example is the…

Plasma Physics · Physics 2026-03-25 R. Wu , A. Biancalani , D. Gossard , R. Ivanov , A. Mishchenko , X. Wang , F. Zonca

Developing large-area inductively coupled plasma sources requires deviation from the standard coil concepts and the development of advanced antenna designs. First steps in this direction employ periodic array structures. A recent example is…

Plasma Physics · Physics 2021-06-29 Christian Lütke Stetzkamp , Tsanko V. Tsankov , Uwe Czarnetzki

The confinement of energetic particles (EP) is crucial for an efficient heating of tokamak plasmas. Plasma instabilities such as Alfven Eigenmodes (AE) can redistribute the EP population making the plasma heating less effective, and leading…

Plasma Physics · Physics 2017-04-26 A. Biancalani , A. Bottino , M. Cole , C. Di Troia , Ph. Lauber , A. Mishchenko , B. Scott , F. Zonca

We propose a method for test-time adaptation of pretrained depth completion models. Depth completion models, trained on some ``source'' data, often predict erroneous outputs when transferred to ``target'' data captured in novel…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Younjoon Chung , Hyoungseob Park , Patrick Rim , Xiaoran Zhang , Jihe He , Ziyao Zeng , Safa Cicek , Byung-Woo Hong , James S. Duncan , Alex Wong

A formulation of a multi-input single-output closed-loop subspace method for system identification is employed for the purpose of obtaining control-relevant model of the vacuum-plasma response in the Damavand tokamak. Such a model is…

Plasma Physics · Physics 2016-03-23 N. Darestani Farahani , F. Abbasi Davani

The mean motion of turbulent patterns detected by a two-dimensional (2D) beam emission spectroscopy (BES) diagnostic on the Mega Amp Spherical Tokamak (MAST) is determined using a cross-correlation time delay (CCTD) method. Statistical…

Plasma Physics · Physics 2015-06-04 Y. -c. Ghim , A. R. Field , D. Dunai , S. Zoletnik , L. Bardoczi , A. A. Schekochihin , the MAST Team

Turbulence in tokamaks generates radially sheared zonal flows. Their oscillatory counterparts, geodesic acoustic modes (GAMs), appear due to the action of the magnetic field curvature. The GAMs can be driven unstable by an anisotropic…

The emergence and dynamics of filamentary structures associated with edge-localized modes (ELMs) inside tokamak plasmas during high-confinement mode is regularly studied using Electron Cyclotron Emission Imaging (ECEI) diagnostic systems.…

Plasma Physics · Physics 2022-04-05 Cooper Jacobus , Minjun J. Choi , Ralph Kube

This paper presents an updated n=1 error field penetration threshold scaling, which increases fit quality compared to previous error field scaling laws, is produced from an expanded database, and exhibits reduced uncertainty in projections…

We compare the predicted phase behaviour of lead (Pb) using three different interatomic potential models, including an embedded atom method (EAM), a modified embedded atom method (MEAM), and a neural network-based machine-learned model in…

Many physical properties of metals can be understood in terms of the free electron model, as proven by the Wiedemann-Franz law. According to this model, electronic thermal conductivity ($\kappa_{el}$) can be inferred from the Boltzmann…

Materials Science · Physics 2016-09-07 Sheng-Ying Yue , Xiaoliang Zhang , Stephen Stackhouse , Guangzhao Qin , Edoardo Di Napoli , Ming Hu

This review article will offer a qualitative overview of the strongly reversed shear profile for steady-state operation in tokamaks. For a steady-state reactor to be commercially viable, it is necessary to have a large bootstrap fraction.…

Plasma Physics · Physics 2024-05-17 Keanu Nakamura

Runaway electron loads onto material structures are a major concern for future large tokamaks due to the efficient avalanching at high plasma currents. Here, we perform predictive studies using the JOREK code for a plausible plasma…

In this paper, a data-driven nonparametric approach is presented for forecasting the probability density evolution of stochastic dynamical systems. The method is based on stochastic Koopman operator and extended dynamic mode decomposition…

Numerical Analysis · Mathematics 2022-10-12 Meng Zhao , Lijian Jiang

This work presents a vibrational and electronic state-to-state model for nitrogen plasma implemented within a multi-physics modular computational framework to study non-equilibrium effects in inductively coupled plasma (ICP) discharges.…

Plasma Physics · Physics 2024-10-21 Sanjeev Kumar , Alessandro Munafo , Sung Min Jo , Marco Panesi