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Narita, Emi
Graduate School of Engineering, Division of Nuclear Engineering Senior Lecturer/ Junior Associate Professor
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Last Updated :2025/05/01
Basic Information
Faculty
Email Address
Email Address
narita.emi.5s
kyoto-u.ac.jp
Professional Memberships
Academic Degree
Academic Resume (Undergraduate School/Majors)
Research History
- From Jun. 2023, To PresentKyoto University, Graduate School of Engineering Department of Nuclear Engineering, 講師
- From Jul. 2021, To May 2023National Institutes for Quantum and Radiological Science and Technology, 主任研究員
- From Apr. 2019, To Jun. 2021National Institutes for Quantum and Radiological Science and Technology, 研究員
- From Apr. 2018, To Mar. 2019National Institutes for Quantum and Radiological Science and Technology, 任期付研究員
- From Apr. 2016, To Mar. 2018National Institutes for Quantum and Radiological Science and Technology, 博士研究員
- From Apr. 2015, To Mar. 2016Japan Atomic Energy Agency, 博士研究員
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ORCID ID
J-Global ID
Researcher number
50757804
researchmap URL
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Last Updated :2025/05/01
Research
Research Areas
Papers
- Corrigendum: Quasilinear turbulent particle and heat transport modeling with a neural-network-based approach founded on gyrokinetic calculations and experimental data (2021 Nucl. Fusion 61 116041)E. Narita; M. Honda; M. Nakata; M. Yoshida; N. HayashiNuclear Fusion, 01 Jul. 2022, Peer-reviewed
- Multi-fidelity information fusion for turbulent transport modeling in magnetic fusion plasmaShinya Maeyama; Mitsuru Honda; Emi Narita; Shinichiro TodaScientific Reports, 12 Dec. 2024
- Integrated code framework for operation scenario development with the global-optimizer-based iterative solver GOTRESSM. Honda; E. Narita; N. Hayashi46th EPS Conference on Plasma Physics, EPS 2019, 2019
- Prediction of kinetic profiles using a new transport solver based on global optimization techniquesM. Honda; S. Ide; E. Narita; N. Hayashi45th EPS Conference on Plasma Physics, EPS 2018, 2018
- Spatio-temporal evolutions of ion heat flux and radial electric field during internal transport barrier formation on JT-60UF. Kin; K. Itoh; M. Yoshida; M. Honda; Y. Kamada; K. Kamiya; E. Narita; T. BandoPlasma Physics and Controlled Fusion, Mar. 2021
- Plasma physics and control studies planned in JT-60SA for ITER and DEMO operations and risk mitigationM Yoshida; G Giruzzi; N Aiba; JF Artaud; J Ayllon-Guerola; L Balbinot; O Beeke; E Belonohy; P Bettini; W Bin; A Bierwage; T Bolzonella; M Bonotto; C Boulbe; J Buermans; M Chernyshova; S Coda; R Coelho; S Davis; C Day; G De Tommasi; M Dibon; A Ejiri; G Falchetto; A Fassina; B Faugeras; L Figini; M Fukumoto; S Futatani; K Galazka; J Garcia; M Garcia-Munoz; L Garzotti; L Giacomelli; L Giudicotti; S Hall; N Hayashi; C Hoa; M Honda; K Hoshino; M Iafrati; A Iantchenko; S Ide; S Iio; R Imazawa; S Inoue; A Isayama; E Joffrin; K Kamiya; Y Ko; M Kobayashi; T Kobayashi; G Kocsis; A Kovacsik; T Kurki-Suonio; B Lacroix; P Lang; P Lauber; A Louzguiti; E de la Luna; G Marchiori; M Mattei; A Matsuyama; S Mazzi; A Mele; F Michel; Y Miyata; J Morales; P Moreau; A Moro; T Nakano; M Nakata; E Narita; R Neu; S Nicollet; M Nocente; S Nowak; FP Orsitto; V Ostuni; Y Ohtani; N Oyama; R Pasqualotto; B Pegourie; E Perelli; L Pigatto; C Piccinni; A Pironti; P Platania; B Ploeckl; D Ricci; P Roussel; G Rubino; R Sano; K Sarkimaki; K Shinohara; S Soare; C Sozzi; S Sumida; T Suzuki; Y Suzuki; T Szabolics; T Szepesi; Y Takase; M Takech; N Tamura; K Tanaka; H Tanaka; M Tardocchi; A Terakado; H Tojo; T Tokuzawa; A Torre; N Tsujii; H Tsutsui; Y Ueda; H Urano; M Valisa; M Vallar; J Vega; F Villone; T Wakatsuki; T Wauters; M Wischmeier; S Yamoto; L ZaniPLASMA PHYSICS AND CONTROLLED FUSION, May 2022, Peer-reviewed
- A simplified model to estimate nonlinear turbulent transport by linear dynamics in plasma turbulenceTomonari Nakayama; Motoki Nakata; Mitsuru Honda; Emi Narita; Masanori Nunami; Seikichi MatsuokaScientific Reports, 16 Mar. 2023
- Multimodal convolutional neural networks for predicting evolution of gyrokinetic simulationsMitsuru Honda; Emi Narita; Shinya Maeyama; Tomo‐Hiko WatanabeContributions to Plasma Physics, 12 Apr. 2023
- Modification of a machine learning‐based semi‐empirical turbulent transport model for its versatilityEmi Narita; Mitsuru Honda; Motoki Nakata; Nobuhiko Hayashi; Tomonari Nakayama; Maiko YoshidaContributions to Plasma Physics, 28 Jan. 2023
- Toward efficient runs of nonlinear gyrokinetic simulations assisted by a convolutional neural network model recognizing wavenumber-space imagesE. Narita; M. Honda; S. Maeyama; T.-H. WatanabeNuclear Fusion, 28 Jun. 2022
- Quasilinear turbulent particle and heat transport modelling with a neural-network-based approach founded on gyrokinetic calculations and experimental dataE. Narita; M. Honda; M. Nakata; M. Yoshida; N. HayashiNuclear Fusion, 07 Oct. 2021
- Development of a novel integrated model GOTRESS+ for predictions and assessment of JT-60SA operation scenarios including the pedestalM. Honda; N. Aiba; H. Seto; E. Narita; N. HayashiNuclear Fusion, 04 Oct. 2021
- Application of transient transport analysis method for modulation experimentY. Ohtani; M. Yoshida; M. Honda; E. NaritaAIP Advances, 01 Aug. 2021
- Review of hydrogen isotope effects on H-mode confinement in JT-60UH Urano; E NaritaPlasma Physics and Controlled Fusion, 17 Jun. 2021
- Prediction of a single Gaussian shape of spectral line measured with low-dispersion spectrometer by using machine learningF. Kin; T. Nakano; N. Oyama; A. Terakado; T. Wakatsuki; E. NaritaReview of Scientific Instruments, 01 May 2021
- Development of a Surrogate Turbulent Transport Model and Its Usefulness in Transport SimulationsMitsuru HONDA; Emi NARITAPlasma and Fusion Research, 10 Feb. 2021
- Dynamics of weak-magnetic-shear-sustained internal transport barrier during supersonic molecular-beam injection in JT-60UF. Kin; M. Yoshida; H. Takenaga; M. Honda; N. Tamura; E. Narita; K. Kamiya; T. Bando; T. Wakatsuki; A. IsayamaNuclear Fusion, 13 Jan. 2021
- Scaling study for positive magnetic shear ELMy H-mode plasmas in JT-60UYoshiaki Ohtani; Maiko Yoshida; Mitsuru Honda; Emi Narita; Hajime Urano; Naoyuki Oyama; Hidenobu TakenagaPlasma Physics and Controlled Fusion, 05 Nov. 2019
- Machine-learning assisted steady-state profile predictions using global optimization techniquesM. Honda; E. NaritaPhysics of Plasmas, Oct. 2019
- Neural-network-based semi-empirical turbulent particle transport modelling founded on gyrokinetic analyses of JT-60U plasmasE. Narita; M. Honda; M. Nakata; M. Yoshida; N. Hayashi; H. TakenagaNuclear Fusion, 22 Aug. 2019
- Gyrokinetic modelling of the quasilinear particle flux for plasmas with neutral-beam fuellingE Narita; M Honda; M Nakata; M Yoshida; H Takenaga; N HayashiPlasma Physics and Controlled Fusion, 09 Jan. 2018
- Transport modelling of JT-60U and JET plasmas with internal transport barriers towards prediction of JT-60SA high-beta steady-state scenarioN. Hayashi; J. Garcia; M. Honda; E. Narita; S. Ide; G. Giruzzi; Y. SakamotoNuclear Fusion, 03 Oct. 2017
- Predictions of toroidal rotation and torque sources arising in non-axisymmetric perturbed magnetic fields in tokamaksM. Honda; S. Satake; Y. Suzuki; K. Shinohara; M. Yoshida; E. Narita; M. Nakata; N. Aiba; J. Shiraishi; N. Hayashi; G. Matsunaga; A. Matsuyama; S. IdeNuclear Fusion, 18 Aug. 2017
- Effects of toroidal rotation on electron heat transport via changes in inertial force and impurity densityE Narita; M Honda; M Yoshida; N Hayashi; H Urano; S IdePlasma Physics and Controlled Fusion, 07 Mar. 2017
- Effects of toroidal rotation shear and magnetic shear on thermal and particle transport in plasmas with electron cyclotron heating on JT-60UM. Yoshida; M. Honda; E. Narita; N. Hayashi; H. Urano; M. Nakata; N. Miyato; H. Takenaga; S. Ide; Y. KamadaNuclear Fusion, 15 Jun. 2015
- Gyrokinetic Analyses of Core Heat Transport in JT-60U Plasmas with Different Toroidal Rotation DirectionNARITA Emi; HONDA Mitsuru; HAYASHI Nobuhiko; URANO Hajime; IDE Shunsuke; FUKUDA TakeshiPlasma and Fusion Research, 2015
- Physics comparison and modelling of the JET and JT-60U core and edge: towards JT-60SA predictionsJ. Garcia; N. Hayashi; B. Baiocchi; G. Giruzzi; M. Honda; S. Ide; P. Maget; E. Narita; M. Schneider; H. UranoNuclear Fusion, 19 Aug. 2014
- Turbulence Analyses of Improved Electron Energy Confinement in H-Mode Plasmas with Gyrokinetic CalculationsEmi NARITA; Mitsuru HONDA; Nobuhiko HAYASHI; Tomonori TAKIZUKA; Shunsuke IDE; Kiyoshi ITAMI; Akihiko ISAYAMA; Takeshi FUKUDAPlasma and Fusion Research, 2013
- Analysis of Te/Ti Effect on Confinement PropertiesEmi NARITA; Tomonori TAKIZUKA; Nobuhiko HAYASHI; Takaaki FUJITA; Shunsuke IDE; Mitsuru HONDA; Akihiko ISAYAMA; Kiyoshi ITAMI; Yutaka KAMADA; Yasuyuki TANAKA; Masaki IIDA; Takeshi FUKUDAPlasma and Fusion Research, 2012
Misc.
- Machine-Learning Assisted Transport Modeling -Practical Cases in JT-60U-成田絵美; 本多充J. Plasma Fusion Res., Feb. 2021
- Future Prospects of Integrated Code Development本多 充; 成田 絵美; 林 伸彦; 矢木 雅敏; 福山 淳; 村上 定義; 横山 雅之; 藤田 隆明J. Plasma Fusion Res., Sep. 2019
Presentations
- Empirical transport modeling for predicting the edge region of H-mode plasmasE. Narita; N. Aiba; M. Honda; H. UranoJapan-Korea Workshop on Fusion Theory 2024, 30 Jul. 2024
- ITPA T&C, Joint experiments/activity proposal, Title: Reduced models of transport in the H-mode pedestal region for integrated simulationE. Narita; S. De PascualeTranspor;Confinement Topical;Group Meeting, 18 Apr. 2024
- Transport modeling for predicting the edge region of H-mode plasmasE. Narita; N. Aiba; M. Honda; H. UranoThe Physical Society of Japan 2024 Spring Meeting, 19 Mar. 2024
- Quasilinear turbulent transport modeling and integrated simulations including hydrogen isotope effectsE. Narita; M. Honda; M. Nakata; N. Aiba; N. Hayashi; T. Nakayama; M. YoshidaThe 40th Annual Meeting The Japan Society of Plasma Science and Nuclear Fusion Research, 30 Nov. 2023
- Convolutional neural network models for forecasting heat fluxes calculated by nonlinear gyrokinetic simulationsE. Narita; M. Honda; S. Maeyama; T.-H. WatanabeUS-Japan Joint Institute Fusion Theory (JIFT) Collaboration Meeting on Exascale Computing, 20 Nov. 2023
- Convolutional neural network models for forecasting heat fluxes calculated by nonlinear gyrokinetic simulationsE. Narita; M. Honda; S. Maeyama; T.-H. Watanabe7th Asia-Pacific Conference on Plasma Physics, 17 Nov. 2023, Invited
- A neural network-based semi-empirical turbulent transport model DeKANIS for integrated simulations of upcoming fusion devicesE. Narita; M. Honda; M. Nakata; N. Aiba; N. Hayashi; T. Nakayama; M. Yoshida29th IAEA Fusion Energy Conference (FEC2023), 21 Oct. 2023
- Development of a neural-network-based turbulent transport model DeKANIS and its application to integrated simulations of fusion plasmasEmi Narita; M. Honda; M. Nakata; T. Nakayama; M. Yoshida; N. HayashiThe 42nd JSST Annual International Conference on Simulation Technology, 30 Aug. 2023, Invited
- Quasilinear turbulent transport modeling and profile predictions including hydrogen isotope effectsE. Narita; M. Honda; M. Nakata; T. Nakayama; N. Hayashi17th Japan-Korea Workshop on ‘‘Modeling and Simulation of Magnetic Fusion Plasmas’’, 29 Aug. 2023
- Improvement in a machine learning based semi-empirical turbulent transport model and verification of its versatilityE. Narita; M. Honda; M. Nakata; M. Yoshida; N. Hayashi; T. Nakayama第39回プラズマ・核融合学会年会, 24 Nov. 2022
- Updates on DeKANIS to include hydrogen isotope effectsE. Narita; M. Honda; M. Nakata; T. Nakayama; N. Hayashi30th Transport and Confinement Topical Group Meeting, 27 Apr. 2023
- Quasilinear turbulent transport modeling and temperature and density profile predictions including hydrogen isotope effectsE. Narita; M. Honda; M. Nakata; T. Nakayama; N. Hayashi日本物理学会2023年春季大会, 22 Mar. 2023
- Progress in data-driven research on magnetically confined fusion plasmasEmi Narita第70回応用物理学会春季学術講演会, 16 Mar. 2023, Invited
- 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田絵美; 本多充; 前山伸也; 渡邉智彦成果創出加速プログラム研究交流会「富岳百景」, 07 Mar. 2023
- Modification of a machine learning based semi-empirical turbulent transport model for its versatilityE. Narita; M. Honda; M. Nakata; M. Yoshida; N. Hayashi; T. NakayamaJA-KO Workshop on Modeling and Simulation of Magnetic Fusion Plasma, 18 Nov. 2022
- Machine-learning assistance with nonlinear gyrokinetic simulations by recognizing wavenumber-space imagesE. Narita; M. Honda; S. Maeyama; T.-H. WatanabeInternational Conference on Numerical Simulation of Plasmas (ICNSP) 2022, 02 Sep. 2022, Invited
Awards
- 25 Nov. 2022第39回年会 若手学会発表賞正会員部門(プラズマ・核融合学会)
- 26 Sep. 2022令和4年度第27回学術奨励賞（伊藤早苗特別賞）(プラズマ・核融合学会)
- 25 Nov. 2022第39回プラズマ・核融合学会年会 若手学会発表賞
- 08 Nov. 20193rd Asia-Pacific Conference on Plasma Physics Poster Prize(アジア太平洋物理学会
- 15 Jul. 2016若手優秀発表賞
- 08 Jun. 2017Young Research Award
Media Coverage
External funds: Kakenhi
- Study on prediction of profile formation processes by turbulent transport modeling of experimental fusion plasmasGrant-in-Aid for Scientific Research (C)Basic Section 14020:Nuclear fusion-relatedNational Institutes for Quantum Science and Technology成田 絵美From 01 Apr. 2023, To 31 Mar. 2026, Grantedプラズマ乱流;ジャイロ運動論;機械学習モデリング;プラズマ・核融合;統合型輸送コード
- Study of profile formation processes of fusion plasmas by first-principle turbulence calculations and machine learning modelingGrant-in-Aid for Early-Career ScientistsBasic Section 14020:Nuclear fusion-relatedNational Institutes for Quantum Science and TechnologyEmi NaritaFrom 01 Apr. 2020, To 31 Mar. 2023, Project Closed核融合;乱流輸送;準線形乱流輸送モデル;帯状流;ジャイロ運動論コード;機械学習;ニューラルネットワークモデル;統合シミュレーション;ニューラルネットワーク;分布硬直性;統合輸送シミュレーション;プラズマ乱流;ジャイロ運動論;機械学習モデリング;統合型輸送コード;プラズマ・核融合
- Development of Predictive Control Method for Fusion Plasma by Data AssimilationGrant-in-Aid for Scientific Research (B)Basic Section 14020:Nuclear fusion-relatedKyoto University村上 定義From 01 Apr. 2024, To 31 Mar. 2028, Granted核融合プラズマ;データ同化;予測制御;統合シミュレーション
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Last Updated :2025/05/01
Education
Teaching subject(s)
- From 01 Apr. 2024, To 31 Mar. 2025Mathematics for Computation5003, Spring, Faculty of Engineering, 2
- From 01 Apr. 2024, To 31 Mar. 2025Introduction to Engineering Science B5111, Spring, Faculty of Engineering, 2
- From 01 Apr. 2024, To 31 Mar. 2025Fundamentals of MagnetohydrodynamicsC076, Spring, Graduate School of Engineering, 2
- From 01 Apr. 2024, To 31 Mar. 2025Exercise on Engineering Science 25055, Fall, Faculty of Engineering, 1
- From 01 Apr. 2024, To 31 Mar. 2025Exercise on Engineering Science 15054, Spring, Faculty of Engineering, 1
- From 01 Apr. 2024, To 31 Mar. 2025Nuclear Engineering Laboratory 25160, Fall, Faculty of Engineering, 3
- From 01 Apr. 2024, To 31 Mar. 2025Nuclear Engineering Laboratory 15158, Spring, Faculty of Engineering, 3
