図版検索 AI要約 wiki 日本の研究装置ジャーナル ChatGPT About

© 2026 FUSIONPAPERS

About 法務情報

トップに戻る

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

Cihan Akçay, John M. Finn, Dylan P. Brennan, Thomas Burr, Doğa M. Kürkçüoğlu2021年Physics of PlasmasIF 2.2 出版社

この論文にはまだAI要約がありません。

関連論文

Probabilistic locked mode predictor in the presence of a resistive wall and finite island saturation in tokamaks

2024Physics of Plasmas

A control approach for plasma density in tokamak machines

2013Fusion Engineering and Design

Tokamak divertor plasma emulation with machine learning

2024Nuclear Fusion

First observation of unlocking the locked mode by electrode biasing on J-TEXT tokamak

2021Nuclear Fusion

Predictive simulations for plasma scenarios in the SMART tokamak

2023Fusion Engineering and Design

Neural network based fast prediction of double tearing modes in advanced tokamak plasmas

2024Physics of Plasmas

Tokamak plasma self-organization—synergetics of magnetic trap plasmas

2011Nuclear Fusion

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

2021Plasma Physics and Controlled Fusion

Tokamak devices

1972Nuclear Fusion

Cross-tokamak disruption prediction based on domain adaptation

2024Nuclear Fusion