Miyoshi Eisuke 三好英輔

Researcher Number	70880962
Other IDs	https://orcid.org/0000-0001-7067-5546
Affiliation (Current)	2025: 大阪公立大学, 大学院工学研究科 , 講師
Affiliation (based on the past Project Information) *help	2023 – 2024: 大阪公立大学, 大学院工学研究科, 講師 2020 – 2022: 東京農工大学, 工学(系)研究科(研究院), 助教
Review Section/Research Field	Principal Investigator Basic Section 18010:Mechanics of materials and materials-related / 0301:Mechanics of materials, production engineering, design engineering, fluid engineering, thermal engineering, mechanical dynamics, robotics, aerospace engineering, marine and maritime engineering, and related fields
Keywords	Principal Investigator 分子動力学 / フェーズフィールド法 / 材料微視組織 / HPC / データ同化 / 粒界 / 粒成長 / 再結晶 / 生体材料 / データ科学 … More / 分子動力学法 / 組織制御 / 焼鈍 / 粒界多重点 / 微視組織 / 結晶粒成長 Less

Research Projects
(3 results)
Research Products
(22 results)

Computation-driven material process design for extracting ideal mechanical properties of implant alloysPrincipal Investigator
- Principal Investigator
  
  三好英輔
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 18010:Mechanics of materials and materials-related
- Research Institution
  Osaka Metropolitan University
Data science-assisted mesoscale microstructural prediction method for developing high-performance materials via grain boundary engineeringPrincipal Investigator
- Principal Investigator
  
  Miyoshi Eisuke
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 18010:Mechanics of materials and materials-related
- Research Institution
  Osaka Metropolitan University
  Tokyo University of Agriculture and Technology
Data assimilation-assisted multi-scale modelling for controlling material microstructures during thermomechanical processesPrincipal Investigator
- Principal Investigator
  
  Miyoshi Eisuke
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0301:Mechanics of materials, production engineering, design engineering, fluid engineering, thermal engineering, mechanical dynamics, robotics, aerospace engineering, marine and maritime engineering, and related fields
- Research Institution
  Tokyo University of Agriculture and Technology

All 2023 2022 2021 2020

All Journal Article Presentation Book

[Book] Pythonによるフェーズフィールド法入門 : 基礎理論からデータ同化の実装まで2023
- Author(s)
  山中　晃徳、三好　英輔
- Total Pages
  176
- Publisher
  丸善出版
- ISBN
  9784621308882
- Data Source
  KAKENHI-PROJECT-22K14140
[Journal Article] Validating a mean-field theory via large-scale phase-field simulations for abnormal grain growth induced by nonuniform grain boundary properties2022
- Author(s)
  Miyoshi Eisuke、Ohno Munekazu、Shibuta Yasushi、Yamanaka Akinori、Takaki Tomohiro
- Journal Title
  
  Journal of Materials Science
  
  Volume: 57 Pages: 16690-16709
- DOI
  10.1007/s10853-022-07660-4
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14140, KAKENHI-PROJECT-20H00217
[Journal Article] Large-scale phase-field study of anisotropic grain growth: Effects of misorientation-dependent grain boundary energy and mobility2021
- Author(s)
  Miyoshi Eisuke、Takaki Tomohiro、Sakane Shinji、Ohno Munekazu、Shibuta Yasushi、Aoki Takayuki
- Journal Title
  
  Computational Materials Science
  
  Volume: 186 Pages: 109992-109992
- DOI
  10.1016/j.commatsci.2020.109992
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K22393, KAKENHI-PROJECT-20H00217
[Journal Article] Novel estimation method for anisotropic grain boundary properties based on Bayesian data assimilation and phase-field simulation2021
- Author(s)
  Eisuke Miyoshi, Munekazu Ohno, Yasushi Shibuta, Akinori Yamanaka, Tomohiro Takaki
- Journal Title
  
  Materials & Design
  
  Volume: 210 Pages: 110089-110089
- DOI
  10.1016/j.matdes.2021.110089
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K22393, KAKENHI-PROJECT-20H00217
[Presentation] Evaluation of inclination-dependent grain boundary properties via data assimilation for molecular dynamics and phase-field simulations2023
- Author(s)
  T. Fujiwara, E. Miyoshi, A. Yamanaka
- Organizer
  FEMS EUROMAT2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] フェーズフィールド法によって構築したナノ多結晶構造中のフォノン輸送解析2023
- Author(s)
  堀琢磨, 三好英輔, 安田直生
- Organizer
  第28回計算工学講演会
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] データ駆動型フェーズフィールド法シミュレーションによる粒界特性の逆問題解析2023
- Author(s)
  三好英輔
- Organizer
  （公財）科学技術交流財団第1回デジタルツイン多結晶創成研究会
- Invited
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] Thermal conductivity evaluation for physically-based polycrystalline nanostructures using phase-field and phonon transport simulations2023
- Author(s)
  E. Miyoshi, T. Hori, N. Yasuda
- Organizer
  FEMS EUROMAT2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] 分子動力学法とフェーズフィールド法のデータ同化による粒界特性の面方位依存性の評価2023
- Author(s)
  藤原倫男, 三好英輔, 山中晃徳
- Organizer
  第28回計算工学講演会
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] マルチフェーズフィールド法により構築したナノ多結晶構造のフォノン輸送解析2023
- Author(s)
  安田直生, 苫米地陸, 三好英輔, 堀琢磨
- Organizer
  第14回マイクロ・ナノ工学シンポジウム
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] Inverse analysis of grain boundary properties based on Bayesian data assimilation and phase-field simulation2023
- Author(s)
  E. Miyoshi
- Organizer
  JSME-KSME Joint Symposium on Computational Mechanics & CAE 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] 大規模フェーズフィールドシミュレーションによる異常粒成長理論の検証2022
- Author(s)
  三好英輔, 大野宗一, 澁田靖, 山中晃徳, 高木知弘
- Organizer
  日本機械学会第35回計算力学講演会
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] 分子動力学とフェーズフィールド法のデータ同化による多結晶粒成長からの粒界物性抽出2022
- Author(s)
  三好英輔, 大野宗一, 澁田靖, 山中晃徳, 高木知弘
- Organizer
  第7回マルチスケール材料力学シンポジウム
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] Bayesian Data Assimilation for Phase-field Simulation of Microstructure Evolution2022
- Author(s)
  A. Yamanaka, E. Miyoshi, A. Ishiii
- Organizer
  The 10th International Conference on Multiscale Materials Modeling (MMM2022)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] 分子動力学とフェーズフィールド法のデータ同化による多結晶粒成長からの粒界物性抽出2022
- Author(s)
  三好英輔，大野宗一，澁田靖，山中晃徳，高木知弘
- Organizer
  第2回マルチスケールマテリアルモデリングシンポジウム
- Data Source
  KAKENHI-PROJECT-20K22393
[Presentation] Abnormal Grain Growth Induced by Nonuniform Grain Boundary Properties: Large-scale Phase-field Simulation vs. Mean-field Theory2022
- Author(s)
  Eisuke Miyoshi, Munekazu Ohno, Yasushi Shibuta, Akinori Yamanaka, Tomohiro Takaki
- Organizer
  15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K22393
[Presentation] Combined Bayesian inference and phase-field modelling for evaluating triple-junction drag on grain boundary migration2022
- Author(s)
  E. Miyoshi, M. Ohno, Y. Shibuta, A. Yamanaka, T. Takaki
- Organizer
  The 10th International Conference on Multiscale Materials Modeling (MMM2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14140
[Presentation] Phase-field法とベイズ推論に基づく多結晶粒成長観察からの粒界物性抽出法2021
- Author(s)
  三好英輔，大野宗一，澁田靖，山中晃徳，高木知弘
- Organizer
  日本機械学会第34回計算力学講演会
- Data Source
  KAKENHI-PROJECT-20K22393
[Presentation] フェーズフィールド法を主軸とした結晶粒成長過程の計算科学的研究2021
- Author(s)
  三好英輔
- Organizer
  日本鉄鋼協会高温プロセス部会若手フォーラム 2021年度第2回研究会
- Invited
- Data Source
  KAKENHI-PROJECT-20K22393
[Presentation] Data assimilation-based approach to estimate grain boundary properties using phase-field grain growth simulations2021
- Author(s)
  Miyoshi Eisuke、Takaki Tomohiro、Shibuta Yasushi、Ohno Munekazu
- Organizer
  TMS 2021 150th Annual Meeting & Exhibition (TMS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K22393
[Presentation] 3次元セル構造におけるパターン形成の大規模マルチフェーズフィールド法解析2021
- Author(s)
  三好英輔，高木知弘，坂根慎治，大野宗一，澁田靖，山中晃徳，青木尊之
- Organizer
  日本機械学会M&M2021材料力学カンファレンス
- Data Source
  KAKENHI-PROJECT-20K22393
[Presentation] Validation of a novel measurement method for anisotropic grain boundary properties based on data assimilation and multi-phase-field simulation2020
- Author(s)
  Miyoshi Eisuke、Takaki Tomohiro、Shibuta Yasushi、Ohno Munekazu
- Organizer
  The 3rd International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K22393

Miyoshi Eisuke 三好 英輔

Research Projects

Research Products

Computation-driven material process design for extracting ideal mechanical properties of implant alloysPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Data science-assisted mesoscale microstructural prediction method for developing high-performance materials via grain boundary engineeringPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Data assimilation-assisted multi-scale modelling for controlling material microstructures during thermomechanical processesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] Pythonによるフェーズフィールド法入門 : 基礎理論からデータ同化の実装まで2023

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Validating a mean-field theory via large-scale phase-field simulations for abnormal grain growth induced by nonuniform grain boundary properties2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Large-scale phase-field study of anisotropic grain growth: Effects of misorientation-dependent grain boundary energy and mobility2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Novel estimation method for anisotropic grain boundary properties based on Bayesian data assimilation and phase-field simulation2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] Evaluation of inclination-dependent grain boundary properties via data assimilation for molecular dynamics and phase-field simulations2023

Author(s)

Organizer

Data Source

[Presentation] フェーズフィールド法によって構築したナノ多結晶構造中のフォノン輸送解析2023

Author(s)

Organizer

Data Source

[Presentation] データ駆動型フェーズフィールド法シミュレーションによる粒界特性の逆問題解析2023

Author(s)

Organizer

Data Source

[Presentation] Thermal conductivity evaluation for physically-based polycrystalline nanostructures using phase-field and phonon transport simulations2023

Author(s)

Organizer

Data Source

[Presentation] 分子動力学法とフェーズフィールド法のデータ同化による粒界特性の面方位依存性の評価2023

Author(s)

Organizer

Data Source

[Presentation] マルチフェーズフィールド法により構築したナノ多結晶構造のフォノン輸送解析2023

Author(s)

Organizer

Data Source

[Presentation] Inverse analysis of grain boundary properties based on Bayesian data assimilation and phase-field simulation2023

Author(s)

Organizer

Data Source

[Presentation] 大規模フェーズフィールドシミュレーションによる異常粒成長理論の検証2022

Author(s)

Organizer

Data Source

[Presentation] 分子動力学とフェーズフィールド法のデータ同化による多結晶粒成長からの粒界物性抽出2022

Author(s)

Organizer

Data Source

[Presentation] Bayesian Data Assimilation for Phase-field Simulation of Microstructure Evolution2022

Author(s)

Miyoshi Eisuke 三好英輔