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The simulation of turbulence in the boundary region of a tokamak is crucial for understanding and optimizing the performance of fusion reactors. In this work, the use of low-rank linear algebra techniques is shown to enhance the efficiency…

等离子体物理 · 物理学 2025-08-18 Margherita Guido , Daniel Kressner , Davide Mancini , Paolo Ricci

The tokamak offers a promising path to fusion energy, but plasma disruptions pose a major economic risk, motivating considerable advances in disruption avoidance. This work develops a reinforcement learning approach to this problem by…

等离子体物理 · 物理学 2024-02-15 Allen M. Wang , Oswin So , Charles Dawson , Darren T. Garnier , Cristina Rea , Chuchu Fan

In this work, a Model Predictive Controller (MPC) is proposed to control the plasma shape in the Tokamak \`a Configuration Variable (TCV). The proposed controller relies on models obtained by coupling linearized plasma response models,…

The Tokamak device is the most promising candidate for producing sustainable electric power by nuclear fusion. It is a torus-shaped device that confines plasma by a strong magnetic field. The development, design and control of the design…

等离子体物理 · 物理学 2022-11-17 M. Holst , V. Kungurtsev , S. Mukherjee

Designing superconducting coils for a tokamak fusion device is a highly coupled, non-linear design problem. The coils have many disparate engineering requirements from structural to power electronics, as well strict limits placed on the…

等离子体物理 · 物理学 2025-12-19 Nathan Welch , Chris Marsden

Although tokamaks are one of the most promising devices for realizing nuclear fusion as an energy source, there are still key obstacles when it comes to understanding the dynamics of the plasma and controlling it. As such, it is crucial…

等离子体物理 · 物理学 2024-04-22 Ian Char , Youngseog Chung , Joseph Abbate , Egemen Kolemen , Jeff Schneider

Structures in tokamak plasmas are elongated along the direction of the magnetic field and short in the directions perpendicular to the magnetic field. Many tokamak simulation codes take advantage of this by using a field aligned coordinate…

等离子体物理 · 物理学 2025-11-04 Akash Shukla , Ammar Hakim , James Juno , Gregory Hammett , Manaure Francisquez

Spherical tokamaks (STs) have many desirable features that make them an attractive choice for a future fusion power plant. Power plant viability is intrinsically related to plasma heat and particle confinement and this is often determined…

In this paper, we consider an open-loop, finite-time, optimal control problem of attaining a specific desired current profile during the ramp-up phase by finding the best open-loop actuator input trajectories. Average density, total power,…

等离子体物理 · 物理学 2017-03-08 Zhigang Ren , Chao Xu , Yongsheng Ou

A neural network model, EFITNN, has been developed capable of real-time magnetic equilibrium reconstruction based on HL-3 tokamak magnetic measurement signals. The model processes inputs from 68 channels of magnetic measurement data…

等离子体物理 · 物理学 2024-05-21 Guohui Zheng , Songfen Liu , Zongyu Yang , Rui Ma , Xinwen Gong , Ao Wang , Shuo Wang , Wulyu Zhong

A new parallel equilibrium reconstruction code for tokamak plasmas is presented. GPEC allows to compute equilibrium flux distributions sufficiently accurate to derive parameters for plasma control within 1 ms of runtime which enables…

等离子体物理 · 物理学 2016-07-08 Markus Rampp , Roland Preuss , Rainer Fischer , the ASDEX Upgrade Team

Machine learning models are exceptionally effective in capturing complex non-linear relationships of high-dimensional datasets and making accurate predictions. However, their intrinsic ``black-box'' nature makes it difficult to interpret…

等离子体物理 · 物理学 2024-07-29 Tadas Pyragius , Cary Colgan , Hazel Lowe , Filip Janky , Matteo Fontana , Yichen Cai , Graham Naylor

Tokamak fusion reactors are actively studied as a means of realizing energy production from plasma fusion. However, due to the substantial cost and time required to construct fusion reactors and run physical experiments, numerical…

数学软件 · 计算机科学 2026-02-13 Julian Litz , Philippe Leleux , Carola Kruse , Joscha Gedicke , Martin J. Kühn

A new version of GBS (Ricci et al. Plasma Phys. Control. Fusion 54, 124047, 2012; Halpern et al. J. Comput. Phys. 315, 388-408, 2016; Paruta et al. Phys. Plasmas 25, 112301, 2018) is described. GBS is a three-dimensional, flux-driven,…

等离子体物理 · 物理学 2022-05-16 M. Giacomin , P. Ricci , A. Coroado , G. Fourestey , D. Galassi , E. Lanti , D. Mancini , N. Richart , L. N. Stenger , N. Varini

A key aspect in the modelling of magnetohydrodynamic (MHD) equilibria in tokamak devices is having access to fast, accurate, and stable numerical simulation methods. There is an increasing demand for reliable methods that can be used to…

Precise control of plasma shape and position is essential for stable tokamak operation and achieving commercial fusion energy. Traditional control methods rely on equilibrium reconstruction and linearized models, limiting adaptability and…

Plasma shape is a significant factor that must be considered for any Fusion Pilot Plant (FPP) as it has significant consequences for plasma stability and core confinement. A new simulator, NSFsim, has been developed based on a historically…

We employ a conformal mapping transformation to solve a generalized Grad-Shafranov equation with incompressible plasma flow of arbitrary direction and construct particular up-down asymmetric D-shaped and diverted tokamak equilibria. The…

等离子体物理 · 物理学 2018-08-23 A. Kuiroukidis , D. Kaltsas , G. N. Throumoulopoulos

Non-axisymmetric magnetic field coils have been designed to provide efficient error field correction and suppress edge localized modes in SPARC - a compact high-field tokamak that is presently under construction at Commonwealth Fusion…

等离子体物理 · 物理学 2026-01-21 N. C. Logan , C. E. Myers , R. Sweeney , C. Paz-Soldan , M. Pharr , N. Leuthold , M. Nickerson , J. Halpern , I. Stewart

The rampdown phase of a tokamak pulse is difficult to simulate and often exacerbates multiple plasma instabilities. To reduce the risk of disrupting operations, we leverage advances in Scientific Machine Learning (SciML) to combine physics…