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Quasilinear turbulent particle and heat transport modelling with a neural-network- based approach founded on gyrokinetic calculations and experimental data
https://repo.qst.go.jp/records/84925
https://repo.qst.go.jp/records/8492569cb758a-b1dc-454b-ae71-dd612ff805f4
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2021-12-28 | |||||
| タイトル | ||||||
| タイトル | Quasilinear turbulent particle and heat transport modelling with a neural-network- based approach founded on gyrokinetic calculations and experimental data | |||||
| 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 |
Emi, Narita
× Emi, Narita× Mitsuru, Honda× Nakata, M.× Maiko, Yoshida× Nobuhiko, Hayashi× Emi, Narita× Mitsuru, Honda× Maiko, Yoshida× Nobuhiko, Hayashi |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | A novel quasilinear turbulent transport model DeKANIS has been constructed founded on the gyrokinetic analysis of JT-60U plasmas. DeKANIS predicts particle and heat fluxes fast with a neural network (NN) based approach and distinguishes diffusive and non-diffusive transport processes. The original model only considered particle transport, but its capability has been extended to cover multi-channel turbulent transport. To solve a set of particle and heat transport equations stably in integrated codes with DeKANIS, the NN model embedded in DeKANIS has been modified. DeKANIS originally determined turbulent saturation levels semi-empirically based on JT-60U experimental data, but now it can also estimate them using a theory-based saturation rule. The new saturation model is still partly connected to experimental data, but it offers the potential for applying DeKANIS independently of the device. | |||||
| 書誌情報 |
Nuclear Fusion 巻 61, 号 11, p. 116041, 発行日 2021-10 |
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| 出版者 | ||||||
| 出版者 | IOP Publishing | |||||
| 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/ac25be | |||||
| 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/ac25be/meta | |||||