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Neural-network-based semi-empirical turbulent particle transport modelling founded on gyrokinetic analyses of JT-60U plasmas
https://repo.qst.go.jp/records/76551
https://repo.qst.go.jp/records/76551f2bbfa3f-6158-4460-925e-40cbe6e3afb1
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2019-08-23 | |||||
| タイトル | ||||||
| タイトル | Neural-network-based semi-empirical turbulent particle transport modelling founded on gyrokinetic analyses of JT-60U plasmas | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Narita, Emi
× Narita, Emi× Honda, Mitsuru× 仲田, 資季× Yoshida, Maiko× Hayashi, Nobuhiko× Takenaga, Hidenobu× Narita, Emi× Honda, Mitsuru× Yoshida, Maiko× Hayashi, Nobuhiko× Takenaga, Hidenobu |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Novel turbulent particle transport modelling has been proposed following joint analyses with gyrokinetic calculations and JT-60U experimental data. Here the diagonal (diffusion) and off- diagonal (pinch) transport mechanisms are treated individually. Besides the decomposition, realistic particle sources from neutral-beam fuelling, which have not been discussed in earlier gyrokinetic studies on particle transport, are taken into account. Taking advantage of the features offered by the modelling, the contribution from each transport mechanism to the turbulent particle flux has been quantitatively clarified. Furthermore, a framework has been developed to calculate the turbulent particle flux driven by each transport mechanism accurately and quickly, taking a neural-network-based approach. The framework can be used for fast prediction of density profiles and for investigating the effects of the transport mechanisms on density profile formation. | |||||
| 書誌情報 |
Nuclear Fusion 巻 59, 号 10, p. 106018-1-106018-11, 発行日 2019-08 |
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| 出版者 | ||||||
| 出版者 | IOP Science | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0029-5515 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1088/1741-4326/ab2f43 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://iopscience.iop.org/article/10.1088/1741-4326/ab2f43 | |||||
