Narita Emi

ナリタエミ | Narita Emi

Affiliation and department：

Research field (1)： Nuclear fusion

Research theme for competitive and other funds (3)：

2023 - 2026 Study on prediction of profile formation processes by turbulent transport modeling of experimental fusion plasmas
2020 - 2023 第一原理乱流計算と機械学習モデリングによる核融合プラズマの分布形成過程の研究
2013 - 2015 トカマクプラズマにおける加熱特性を考慮した乱流輸送機構と閉じ込め性能に関する研究

Papers (24)：

Mitsuru Honda, Emi Narita, Shinya Maeyama, Tomo-Hiko Watanabe. Multimodal convolutional neural networks for predicting evolution of gyrokinetic simulations. Contributions to Plasma Physics. 2023. 63. 5-6
Tomonari Nakayama, Motoki Nakata, Mitsuru Honda, Emi Narita, Masanori Nunami, Seikichi Matsuoka. A simplified model to estimate nonlinear turbulent transport by linear dynamics in plasma turbulence. Scientific Reports. 2023. 13. 1
Emi Narita, Mitsuru Honda, Motoki Nakata, Nobuhiko Hayashi, Tomonari Nakayama, Maiko Yoshida. Modification of a machine learning-based semi-empirical turbulent transport model for its versatility. Contributions to Plasma Physics. 2023
E. Narita, M. Honda, S. Maeyama, T.-H. Watanabe. Toward efficient runs of nonlinear gyrokinetic simulations assisted by a convolutional neural network model recognizing wavenumber-space images. Nuclear Fusion. 2022. 62. 8. 086037-086037
M Yoshida, G Giruzzi, N Aiba, JF Artaud, J Ayllon-Guerola, L Balbinot, O Beeke, E Belonohy, P Bettini, W Bin, et al. Plasma physics and control studies planned in JT-60SA for ITER and DEMO operations and risk mitigation. PLASMA PHYSICS AND CONTROLLED FUSION. 2022. 64. 5. 054004

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MISC (2)：

Machine-Learning Assisted Transport Modeling -Practical Cases in JT-60U-. J. Plasma Fusion Res. 2021. 97. 2. 66-71
Future Prospects of Integrated Code Development. J. Plasma Fusion Res. 2019. 95. 9. 453-457

Lectures and oral presentations (7)：

Improvement in a machine learning based semi-empirical turbulent transport model and verification of its versatility
(2023)
Updates on DeKANIS to include hydrogen isotope effects
(30th Transport and Confinement Topical Group Meeting 2023)
Quasilinear turbulent transport modeling and temperature and density profile predictions including hydrogen isotope effects
(2023)
Progress in data-driven research on magnetically confined fusion plasmas
(2023)
乱流熱流束の時間発展を予測するマルチモーダルニューラルネットワークモデルの開発
(成果創出加速プログラム研究交流会「富岳百景」 2023)

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Education (2)：

2011 - 2015 Osaka University Graduate School of Engineering
2007 - 2011 Osaka University School of Engineering Department of Sustainable Energy and Environmental Engineering

Professional career (1)：

Work history (6)：

2023/06 - 現在 Kyoto University Graduate School of Engineering Department of Nuclear Engineering
2021/07 - 2023/05 National Institutes for Quantum and Radiological Science and Technology
2019/04 - 2021/06 National Institutes for Quantum and Radiological Science and Technology
2018/04 - 2019/03 National Institutes for Quantum and Radiological Science and Technology
2016/04 - 2018/03 National Institutes for Quantum and Radiological Science and Technology

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Committee career (2)：

2020/10 - 現在核融合エネルギーフォーラム専門委員
2020/03 - 現在 International Tokamak Physics Activity Transport & Confinement Topical Group Japanese member

Awards (6)：

2023/03 - スーパーコンピュータ「富岳」成果創出加速プログラム令和4年度研究交流会次世代研究者賞乱流熱流束の時間発展を予測するマルチモーダルニューラルネットワークモデルの開発
2022/11 - 第39回プラズマ・核融合学会年会若手学会発表賞機械学習を利用した半経験乱流輸送モデルの拡張と汎用性の検証
2022/11 - 第27回学術奨励賞(伊藤早苗特別賞) 機械学習を用いた核融合プラズマの乱流輸送モデリング
2019/11 - 3rd Asia-Pacific Conference on Plasma Physics, Poster Prize Quasilinear turbulent transport modeling with semi-empirical and mixing-length-like saturation rules
2017/06 - 7th Asia Pacific Transport Working Group International Conference, Young Research Award Gyrokinetic modeling of the quasilinear particle flux

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Association Membership(s) (2)：

日本物理学会 , プラズマ・核融合学会

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