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Title |
Assistant Professor |
Graduating School 【 display / non-display 】
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Kyoto University Faculty of Science JAPAN
Graduate School 【 display / non-display 】
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Kyoto University Graduate School, Division of Natural Science Master's Course Completed JAPAN
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Kyoto University Graduate School, Division of Natural Science Doctor's Course Completed JAPAN
Research field 【 display / non-display 】
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Particle/Nuclear/Cosmic ray/Astro physics
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Mathematical physics/Fundamental condensed matter physics
Papers 【 display / non-display 】
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Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
Taiki Miyagawa, Takeru Yokota ( Multiple Authorship )
38th conference on Neural Information Processing Systems, NeurIPS2024 2024.12
Research paper (international conference proceedings) English
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Physics-informed neural network for solving functional renormalization group on lattice
Takeru Yokota ( Single Author )
Physical Review B 109 214205 2024.06
Research paper (scientific journal) English
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Color superconductivity on the lattice — analytic predictions from QCD in a small box
Takeru Yokota, Yuta Ito, Hideo Matsufuru, Yusuke Namekawa, Jun Nishimura, Asato Tsuchiya, Shoichiro Tsutsui ( Multiple Authorship )
Journal of High Energy Physics 2023 61 2023.06
Research paper (scientific journal) English
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Functional-renormalization-group approach to circuit quantum electrodynamics
Takeru Yokota, Kanta Masuki, Yuto Ashida ( Multiple Authorship )
Physical Review A 107 043709 2023.04
Research paper (scientific journal) English
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Color superconductivity in a small box: a complex Langevin study
Shoichiro Tsutsui, Yuhma, Asano, Yuta Ito, Hideo Matsufuru, Yusuke Namekawa, Jun Nishimura, Asato Tsuchiya, Takeru Yokota ( Multiple Authorship )
The 38th International Symposium on Lattice Field Theory (LATTICE2021) 396 2022.07
Research paper (international conference proceedings) English
Research Grants and Projects 【 display / non-display 】
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Project Year：2025.04 - Now
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Project Year：2022.07 - 2023.03
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Project Year：2020.04 - 2021.02
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Project Year：2016.04 - 2019.03
Presentations 【 display / non-display 】
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Analysis of three-dimensional classical liquids via density functional flow equations
Takeru Yokota
Internal meeting Third Workshop on Fundamentals in density functional theory (DFT2025) Oral Presentation(general)
2025.03 -
Physics-informed Neu-ral Networks for Functional Differential Equations: Cy-lindrical Approximation and Its Convergence Guarantees
Taiki Miyagawa and Takeru Yokota
International conference 38th conference on Neural Information Processing Systems, NeurIPS2024 (2024) Poster (general)
2024.12 -
Physics-informed Neural Networks for Functional Differential Equations
Takeru Yokota
International conference DAIKIN International Symposium on Physics of Intelligence - Statistical Me-chanics and Machine Learning: A Powerful Combination for Data Analysis - (ISPI2024) Poster (general)
2024.11 -
Functional-renormalization-group approach to classical liquids with short-range repulsion: a scheme without repulsive reference system
Takeru Yokota
International conference American Physical Society’s March Meeting 2024 ( Minneapolis Convention Center, Minneapolis USA ) Oral Presentation(general)
2024.03 -
Approach to classical liquids based on functional renormalization group
Takeru Yokota
Internal meeting Second Workshop on Fundamentals in density functional theory (DFT2024) Oral Presentation(guest/special)
2024.02