FusionPapers
図版検索AI要約wiki日本の研究装置ジャーナルChatGPTAbout
© 2026 FUSIONPAPERS
About法務情報
トップに戻る

Shadow masks predictions in SPARC tokamak plasma-facing components using HEAT code and machine learning methods

D. Corona, M. Scotto d’Abusco, M. Churchill, S. Munaretto, T. Looby2025年8月Fusion Engineering and DesignIF 1.7出版社

wiki

Plasma-facing componentSPARC
この論文にはまだAI要約がありません。

関連論文

A control approach for plasma density in tokamak machines

2013Fusion Engineering and Design

Overview of the SPARC physics basis towards the exploration of burning-plasma regimes in high-field, compact tokamaks

2022Nuclear Fusion

Deep sequence to sequence learning-based prediction of major disruptions in ADITYA tokamak

2021Plasma Physics and Controlled Fusion

Development of a thermal diagnostic system for the SPARC tokamak

2024Review of Scientific Instruments

Machine learning methods for probabilistic locked-mode predictors in tokamak plasmas

2021Physics of Plasmas

Cross-tokamak disruption prediction based on domain adaptation

2024Nuclear Fusion

SPARC as a platform to advance tokamak science

2023Physics of Plasmas

Tokamak divertor plasma emulation with machine learning

2024Nuclear Fusion

Tokamak devices

1972Nuclear Fusion

Disruption mitigation modeling for the SPARC tokamak

2025Physics of Plasmas