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Miyamoto, Sota

Graduate School of Engineering, Division of Chemical Science and Engineering Assistant Professor

Miyamoto, Sota
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    Last Updated :2026/08/28

    Basic Information

    Faculty

    • Faculty of Engineering

    Email Address

    • Email Address

      miyamoto.sota.6kkyoto-u.ac.jp

    Professional Memberships

    • The Society of Rheology
    • The Society of Rheology, Japan
    • The Japan Society of Applied Physics
    • The Society of Chemical Engineers, Japan

    Academic Degree

    • 23 Mar. 2022
      京都大学修士(工学)
    • 23 Jul. 2024
      京都大学博士(工学)

    Academic Resume (Undergraduate School/Majors)

    • 京都大学, 工学部工業化学科, 卒業

    Research History

    • From Apr. 2026, To Present
      Kyoto University, Graduate School of Engineering Department of Chemical Science and Engineering, Assistant Professor
    • From Oct. 2024, To Mar. 2026
      Kyoto University, Graduate School of Engineering Department of Chemical Engineering, Assistant Professor
    • From Aug. 2024, To Sep. 2024
      Northeastern University, Visitor
    • From Apr. 2024, To Sep. 2024
      Japan Society for the Promotion of Science, Doctoral Course Research Fellow
    • From Apr. 2022, To Mar. 2024
      Kyoto University Science and Technology Innovation Creation Fellowship: Materials Science

    ID,URL

    researchmap URL

    list
      Last Updated :2026/08/28

      Research

      Research Areas

      • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Transfer phenomena and unit operations

      Papers

      • Decision-aware multi-objective discovery of Cu2O-based photovoltaic materials integrating supply risk, stability, and bandgap engineering
        Takahiro Kono; Souta Miyamoto; Katsuaki Tanabe
        Journal of Applied Physics, 24 Aug. 2026, Peer-reviewed
      • Composition-based machine learning for screening superconducting ternary hydrides from a curated dataset
        Kazuaki Tokuyama; Souta Miyamoto; Taichi Masuda; Katsuaki Tanabe
        APL Machine Learning, 15 May 2026, Peer-reviewed
      • Development of Rheological Constitutive Modeling Method Using a Sparse Identification Algorithm: A Case Study for Extensional Flows
        Takeshi Sato; Souta Miyamoto; Shota Kato
        Nihon Reoroji Gakkaishi, 15 Apr. 2026, Peer-reviewed
      • Defect Cluster Evolution under Primary Cascade Damage in TiVTaW High-Entropy Alloy and Its Constituent Elements Investigated by Molecular Dynamics Simulations
        Yuji Harada; Souta Miyamoto; Shijun Zhao; Katsuaki Tanabe
        MATERIALS TRANSACTIONS, 01 Mar. 2026, Peer-reviewed
      • Improving DFT-predicted band gaps by symbolic regression for semiconductor materials discovery
        Takahiro Kono; Souta Miyamoto; Taichi Masuda; Katsuaki Tanabe
        Computational Materials Science, Feb. 2026, Peer-reviewed
      • Explainable artificial intelligence for chemical process informatics: Energy-efficient design of styrene monomer production
        Sora Mimura; Taichi Masuda; Souta Miyamoto; Katsuaki Tanabe
        Chemical Engineering Journal Advances, Nov. 2025, Peer-reviewed
      • Multiscale simulations for viscoelastic fluids with approximate constitutive models derived by a sparse identification method
        Takeshi Sato; Souta Miyamoto
        Rheologica Acta, 30 Apr. 2025, Peer-reviewed, Last author
      • Rheo-SINDy: Finding a constitutive model from rheological data for complex fluids using sparse identification for nonlinear dynamics
        Takeshi Sato; Souta Miyamoto; Shota Kato
        Journal of Rheology, 04 Dec. 2024, Peer-reviewed, Lead author
      • Short Review on Machine Learning-Based Multi-Scale Simulation in Rheology
        Souta Miyamoto
        Nihon Reoroji Gakkaishi, 15 Feb. 2024, Peer-reviewed, Lead author, Last author, Corresponding author
      • Machine-Learning Based Multi-Scale Simulation for Polymer Melt Spinning Process
        Yan Xu; Souta Miyamoto; Takashi Taniguchi
        Nihon Reoroji Gakkaishi, 15 Dec. 2023, Peer-reviewed
      • Machine-learned constitutive relations for multi-scale simulations of well-entangled polymer melts
        Souta Miyamoto; John J. Molina; Takashi Taniguchi
        Physics of Fluids, 01 Jun. 2023, Peer-reviewed, Lead author
      • Stretch-orientation-induced reduction of friction in well-entangled bidisperse blends: a dual slip-link simulation study
        Souta Miyamoto; Takeshi Sato; Takashi Taniguchi
        Rheologica Acta, Jan. 2023, Peer-reviewed, Lead author

      Misc.

      • からみ合い高分子溶融体の流動解析手法の進展 -マルチスケールシミュレーション法と機械学習の融合-
        Souta Miyamoto; John J Molina; Takashi Taniguchi
        化学工学, 01 Mar. 2023, Invited, Lead author

      Presentations

      • Constitutive Modeling for Complex Fluids by Sparse Regression
        Souta Miyamoto; Takeshi Sato; Shota Kato
        SCEJ 91st Annual Meeting, 17 Mar. 2026, Invited
      • Exploration of High-Pressure Superconducting Materials in Ternary Hydrides Using Machine Learning
        Souta Miyamoto; Kazuaki Tokuyama; Taichi Masuda; Katsuaki Tanabe
        第86回応用物理学会秋季学術講演会, 09 Sep. 2025
      • 高分子溶融体の構成関係に対するデータ駆動モデリングと流動シミュレーション
        Souta Miyamoto
        金沢大学 先魁プロジェクト 「産学連携デジタルツインの社会実装」セミナー, 05 Mar. 2025, Invited
      • Multi-scale simulations of well-entangled polymer melts using machine-learned surrogate models
        Souta Miyamoto; John J Molina; Takashi Taniguchi
        第72回レオロジー討論会, 18 Oct. 2024
      • Flow simulations of well-entangled polymer melts using machine-learned constitutive relations
        Souta Miyamoto; John Molina; Takashi Taniguchi
        第71回レオロジー討論会, 19 Oct. 2023
      • Machine learned constitutive relations for simulating well-entangled polymer melts for their history-dependent flows
        Souta Miyamoto; John Molina; Takashi Taniguchi
        The Society of Rheology 93rd Annual Meeting (SoR93), 10 Oct. 2023
      • Flow simulations of polymer melts with machine-learned constitutive relations
        Souta Miyamoto; John Molina; Takashi Taniguchi
        流体力学会年会, 22 Sep. 2023
      • Friction Reduction of Bidispersed Polymer System in Entangled State
        Souta Miyamoto; Takeshi Sato; Takashi Taniguchi
        The 7th International Soft Matter Conference, ISMC2023, 06 Sep. 2023
      • Machine-learned constitutive relations of entangled polymer melts for multi-scale flow simulations
        Souta Miyamoto; John Molina; Takashi Taniguchi
        CCP2023 - 34th IUPAP Conference on Computational Physics, 07 Aug. 2023
      • Friction Reduction of Entangled Bidisperse Polymer Blends under Fast Flows
        Souta Miyamoto; Takeshi Sato; Takashi Taniguchi
        Physics of Soft and Active Matter” in Different Spatio-Temporal Domains, 09 Mar. 2023
      • Friction Reduction in Well-entangled Bidisperse Blends under Fast Flows: A Dual Slip-link Simulation Study
        Souta Miyamoto; Takeshi Sato; Takashi Taniguchi
        The 16th International Workshop for East Asian Young Rheologists (IWEAYR-16), 20 Feb. 2023
      • 摩擦低減効果を考慮したスリップリンクモデルによる二様分子量分布高分子溶融体の粘弾性予測
        宮本奏汰; 佐藤健; 谷口貴志
        日本レオロジー学会2022年通常総会および第49年会, 12 May 2022
      • Applications of machine-learned constitutive relations to simulate well-entangled polymer melt flows
        Souta Miyamoto; John Molina; Takashi Taniguchi
        37th International conference of the Polymer Processing Society (PPS-37), 15 Apr. 2022
      • Application of machine-learned constitutive relations for well-entangled polymer melt flows
        Souta Miyamoto; John Molina; Takashi Taniguchi
        APS march meeting 2022, 14 Mar. 2022
      • 機械学習モデルを構成関係に代用した高分子溶融体の流動シミュレーション
        宮本奏汰; John Molina; 谷口貴志
        プラスチック成形加工学会 第29回秋季大会, 01 Dec. 2021
      • Well-entangled polymer melt flow simulations using a Machine-Learned constitutive relation
        宮本奏汰; John Molina; 谷口貴志
        第69回レオロジー討論会, 21 Oct. 2021
      • 学習された構成関係を用いた高分子液体の流動シミュレーション
        宮本奏汰; John Molina; 谷口貴志
        化学工学会 第52回秋季大会, 22 Sep. 2021
      • Learning the constitutive relation of entangled polymer melts from a dual slip-link model
        Souta Miyamoto; John Molina; Takashi Taniguchi
        21st International Union of Materials Research Societies- International Conference in Asia (IUMRS-ICA 2020), 25 Feb. 2021
      • Slip-linkモデルにおけるセグメントダイナミクスの影響と流動解析
        宮本奏汰; 佐藤健; 谷口貴志
        第68回レオロジー討論会, 21 Oct. 2020

      External funds: Kakenhi

      • A new framework for constitutive modeling: Deriving models from non-uniform flow measurements
        Grant-in-Aid for Scientific Research (B)
        Basic Section 27010:Transport phenomena and unit operations-related
        Kanazawa University
        佐藤 健
        From 01 Apr. 2026, To 31 Mar. 2029, Granted
        レオロジー;データ駆動モデリング;複雑流動;複雑流体計測;メソスケールモデル
      • Multiscale Analysis of Extrusion Instabilities in Polymer Processing
        Grant-in-Aid for Early-Career Scientists
        Basic Section 27010:Transport phenomena and unit operations-related
        Kyoto University
        宮本 奏汰
        From 01 Apr. 2026, To 31 Mar. 2030, Granted
        高分子流体;不安定性;成形不良;流動不安定;マルチスケールシミュレーション
      • Building data-driven models for complex fluid flow prediction under physical constraints
        Grant-in-Aid for Research Activity Start-up
        0401:Materials engineering, chemical engineering, and related fields
        Kyoto University
        宮本 奏汰
        From 31 Jul. 2025, To 31 Mar. 2027, Granted
        複雑流体;マルチスケールシミュレーション;機械学習;レオロジー
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        Last Updated :2026/08/28

        Education

        Teaching subject(s)

        • From 01 Apr. 2026, To 31 Mar. 2027
          ChemicalProcessEngineeringLaboratoryII(Chemical Engineering)
          7313, Fall, Faculty of Engineering, 5
        • From 01 Apr. 2026, To 31 Mar. 2027
          ChemicalProcessEngineeringLaboratoryI(Chemical Engineering)
          7312, Spring, Faculty of Engineering, 5
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          Last Updated :2026/08/28

          Academic, Social Contribution

          Academic Contribution

          • 12th Kyoto Young Scientists' Soft Matter Meeting
            Planning, management, etc.
            From 11 Mar. 2024

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