Zobrazeno 1 - 10 of 20 pro vyhledávání: '"Emi Narita"'
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Akademický článek
A simplified model to estimate nonlinear turbulent transport by linear dynamics in plasma turbulence
Autor: Tomonari Nakayama, Motoki Nakata, Mitsuru Honda, Emi Narita, Masanori Nunami, Seikichi Matsuoka
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract A simplified model to estimate nonlinear turbulent transport only by linear calculations is proposed, where the turbulent heat diffusivity in tokamak ion temperature gradient(ITG) driven turbulence is reproduced for a wide parameter range in
Externí odkaz: https://doaj.org/article/46c2dd4ef98b4da696bb202b0165c41c
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2
Multimodal convolutional neural networks for predicting evolution of gyrokinetic simulations
Autor: Mitsuru Honda, Emi Narita, Shinya Maeyama, Tomo‐Hiko Watanabe
Publikováno v: Contributions to Plasma Physics. 63(5-6)
Gyrokinetic simulations are required for the quantitative calculation of fluxes due to turbulence, which dominates over other transport mechanisms in tokamaks. However, nonlinear gyrokinetic simulations are computationally expensive. A multimodal con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f06e0fe382765209688b46b69edf9eea
http://hdl.handle.net/2433/284030
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3
Simultaneous control of safety factor profile and normalized beta for JT-60SA using reinforcement learning
Autor: Takuma Wakatsuki, Maiko Yoshida, Emi Narita, Takahiro Suzuki, Nobuhiko Hayashi
Publikováno v: Nuclear Fusion.
Plasma with an internal transport barrier (ITB) will be developed in JT-60SA as an attractive operation appropriate for a steady-state fusion reactor. To achieve the ITB plasma while avoiding MHD instabilities, it is advantageous to simultaneously co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0bb24862a5ad78188099f99090626729
https://doi.org/10.1088/1741-4326/acd393
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5
Development of a semi-empirical particle and heat transport model and improvement in its turbulent saturation rule
Autor: Emi, Narita, Mitsuru, Honda, Motoki, Nakata, Maiko, Yoshida, Nobuhiko, Hayashi
Publikováno v: 第19回核燃焼プラズマ統合コード研究会.
The gyrokinetic-based turbulent transport models are essential to predict density and temperature profiles, but introducing detailed descriptions of turbulence physics tends to increase the computational cost. To accelerate the profile predictions, a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::29829f64896369678b7ea56a3de6cca4
https://repo.qst.go.jp/records/85504
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6
Development of a novel integrated model GOTRESS+ for predictions and assessment of JT-60SA operation scenarios including the pedestal
Autor: Mitsuru, Honda, Nobuyuki, Aiba, Haruki, Seto, Emi, Narita, Nobuhiko, Hayashi
定常プラズマを解析対象とした統合輸送モデルGOTRESS+を開発した。GOTRESS+は炉心プラズマ定常輸送解析コードGOTRESS,を中心に加熱・電流駆動を考慮した定常プラズマを評価・予測すること
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::052ac5bfa2d609b84d82e9131c482d57
https://repo.qst.go.jp/records/82893
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7
Integrated transport simulations with a neural-network transport model and development of turbulence saturation rules
Autor: Emi, Narita, Mitsuru, Honda, Motoki, Nakata, Maiko, Yoshida, Nobuhiko, Hayashi
Publikováno v: 第18回核燃焼プラズマ統合コード研究会.
準線形乱流輸送モデルDeKANISはニューラルネットワーク(NN)を用いることで、ジャイロ運動論コードが予測する拡散・ピンチ過程の輸送量への寄与を高速に再現できる。NNの学習に用いるデ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::041d7109d7edfa8fe6be46e052e623c7
https://repo.qst.go.jp/records/81911
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9
Development of a novel integrated model GOTRESS+ for predictions and assessment of JT-60SA operation scenarios including the pedestal
Autor: Honda, M., Nobuyuki, Aiba, Haruki, Seto, Emi, Narita, Nobuhiko, Hayashi
Publikováno v: Nuclear Fusion. 61:116029
A novel integrated model GOTRESS+ has been developed, which consists of the iterative transport solver GOTRESS as a kernel of the integrated model, the equilibrium and current profile alignment code ACCOME and the neutral beam heating/current-drive c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::f6ecce2cc379da8ec1fe628b62b409b9
https://repo.qst.go.jp/records/84804
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10
Quasilinear turbulent particle and heat transport modelling with a neural-network- based approach founded on gyrokinetic calculations and experimental data
Autor: Emi, Narita, Mitsuru, Honda, Nakata, M., Maiko, Yoshida, Nobuhiko, Hayashi
Publikováno v: Nuclear Fusion. 61(11):116041
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::e88a35fcabc6d6b8967fe1ec52ae9783
https://repo.qst.go.jp/records/84925
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