Matsuo Tetsuji

マツオテツジ | Matsuo Tetsuji

Affiliation and department：
Homepage URL (1)： http://fem.kuee.kyoto-u.ac.jp/EMEE-lab/

Research field (3)： Electric/electronic material engineering , Electrical power engineering , Mathematical physics and basic theory

Research keywords (6)：ヒステリシス , マイクロマグネティクス , 計算電磁気学 , Hysteresis , Micromagnetics , Computational electromagnetics

Research theme for competitive and other funds (19)：

2020 - 2023 マルチスケール・マルチフィジクスモデル縮約による高精度モータシミュレーターの開発
2017 - 2021 Development of physical and phenomenological models of stress-dependent vector magnetic properties of core materials for electric machins
2014 - 2017 Study on a multi-physics model of magnetic properties of iron-core material taking into account mechanical stress
2013 - 2016 Development of miniaturized magnetic field sensor with higher sensitivity using inclined magnetic domain and its application for detection of localized weak field
2011 - 2013 Basic study of optimization method of iron-core material for limit design of electric machinery

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Papers (154)：

Hideaki Nagamine, Shingo Hiruma, Takeshi Mifune, Tetsuji Matsuo. Henrici-Pflüger-Type Error Estimators for the Cauer Ladder Network Representation. IEEE Transactions on Magnetics. 2024. 60. 3. 1-4
Yasuhito Takahashi, Koji Fujiwara, Kengo Sugahara, Tetsuji Matsuo. Model Order Reduction of Cage Induction Motor With Skewed Rotor Slots Using Multiport Cauer Ladder Network Method. IEEE Transactions on Magnetics. 2023. 59. 5. 1-4
Tetsuji Matsuo, Yasuhito Takahashi, Koji Fujiwara. Anisotropic Vector Play Model and its Application in Magnetization Analysis. IEEE Transactions on Magnetics. 2023. 59. 5. 1-4
Hideaki Nagamine, Shingo Hiruma, Takeshi Mifune, Tetsuji Matsuo. Error Estimation of the Cauer Ladder Network Method Based on Eigenfunction Expansion. IEEE TRANSACTIONS ON MAGNETICS. 2023. 59. 5
Kento Yoshida, Takeshi Mifune, Tetsuji Matsuo, Hiroyuki Kaimori, Akihisa Kameari, Takeshi Iwashita. Efficient Preconditioning Technique for Frequency Domain Finite Element Simulation of the Darwin Model. IEEE Transactions on Magnetics. 2023

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MISC (209)：

長嶺英朗, 比留間真悟, 美舩健, 松尾哲司. Henrici-Pfluger型誤差限界を用いたCLN法の精度評価に関する検討-A Study of the Accuracy of the CLN method using Henrici-Pfluger Error Nounds-静止器/回転機合同研究会・電磁界数値計算技術とその応用. 電気学会研究会資料. SA / 電気学会静止器研究会 [編]. 2023. 2023. 1-10・12-17. 33-38
長嶺英朗, 比留間真悟, 美舩健, 松尾哲司. Simplification of Foster Circuits Based on Wasserstein Metric. 電気学会電子・情報・システム部門大会(Web). 2023. 2023
菅原賢悟, 谷本直斗, 高橋康人, 松尾哲司. Application of mover CLN with constant basis functions to T.E.A.M. 28. 電気学会研究会資料(Web). 2023. SA-23-001-010.012-017/RM-23-001-010.012-017
松尾哲司, 高橋康人, 菅原賢悟. A Study of Reduced Representation of Gap Harmonic Components in Motor MOR Using CLN Method. 電気学会研究会資料(Web). 2023. SA-23-001-010.012-017/RM-23-001-010.012-017
菅原賢悟, 飛田美和, 松尾哲司, 高橋康人. Nonlinear Eddy Current CLN based on Fixed-Point Harmonic Balance. 電気学会研究会資料(Web). 2023. SA-23-058-068/RM-23-057-067

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Education (4)：

Professional career (1)：

Work history (7)：

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Awards (5)：

2018/09 - Japan Society for Simulation Technology 37th JSST Annual International Conference on Simulation Technology Energy-Based Multiscale Modeling of Magnetic Material
1997 - 電気学会論文発表賞
1995 - 電気学会論文発表賞
1994 - 電気学会論文発表賞
1993 - 平成4年電気関係学会関西支部連合大会奨励賞

Association Membership(s) (5)：

情報処理学会 , The Institute of Electrical and Electronics Engineers , 電気学会 , 電子情報通信学会 , IEEE

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