Shiratori Suguru 白鳥英

Researcher Number	10803447
Other IDs	https://orcid.org/0000-0003-0158-6798
Affiliation (Current)	2025: 東京都市大学, 理工学部, 教授
Affiliation (based on the past Project Information) *help	2024: 東京都市大学, 理工学部, 教授 2021 – 2023: 東京都市大学, 理工学部, 准教授 2020: 東京都市大学, 理工学部, 講師 2017 – 2019: 東京都市大学, 工学部, 講師
Review Section/Research Field	Principal Investigator Basic Section 19010:Fluid engineering-related / Fluid engineering Except Principal Investigator Basic Section 08030:Family and consumer sciences, and culture and living-related
Keywords	Principal Investigator 液膜流れ / PINN / 物理ベース機械学習 / データ同化 / 膜厚ムラ / 物性値測定 / 位相シフト干渉法 / PINNs / 機械学習 / 塗膜の膜厚ムラ … More / Physics-Informed NN / Neural Network / 物性値予測 / 自動微分 / 物理法則の機械学習 / 流れの不安定性 / 薄膜流れ / 製造プロセス / 流体工学 / 膜厚測定 / マランゴニ効果 / 流れの安定性 / 液膜塗布 … More Except Principal Investigator 消化性 / 食品加工 / 次世代食品 / ナノ・マイクロ分散系 / 高分子電解質複合体 Less

Physics-informed machine learning with missing physics learning from observed data for liquid film coating processPrincipal Investigator
- Principal Investigator
  
  白鳥英
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research)
- Review Section
  
  Basic Section 19010:Fluid engineering-related
- Research Institution
  Tokyo City University
水難溶性栄養成分の最適送達に向けた多糖-脂質ナノ複合体の機能設計と食品開発
- Principal Investigator
  
  黒岩崇
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 08030:Family and consumer sciences, and culture and living-related
- Research Institution
  Tokyo City University
Data assimilation method based on physics-informed machine learning and its application to multiple simultaneous estimation of physical properties of coating filmsPrincipal Investigator
- Principal Investigator
  
  白鳥英
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 19010:Fluid engineering-related
- Research Institution
  Tokyo City University
Prediction of thickness undulations in coating of liquid films by means of physics-informed machine learningPrincipal Investigator
- Principal Investigator
  
  Shiratori Suguru
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 19010:Fluid engineering-related
- Research Institution
  Tokyo City University
Modeling and suppression of the striation formation arising during spincoating of photoresist filmsPrincipal Investigator
- Principal Investigator
  
  Shiratori Suguru
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Fluid engineering
- Research Institution
  Tokyo City University

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] 先端半導体製造プロセスの最新動向と微細化技術，第3章5節2023
- Author(s)
  白鳥英
- Total Pages
  630
- Publisher
  技術情報協会
- ISBN
  9784861049828
- Data Source
  KAKENHI-PROJECT-22K03909
[Journal Article] 液膜の塗布・乾燥プロセスのモデリングと膜厚ムラの形成機構に関する研究2024
- Author(s)
  白鳥英
- Journal Title
  
  塗装工学
  
  Volume: 59 Pages: 542-553
- Data Source
  KAKENHI-PROJECT-22K03909
[Journal Article] Physics-Informed Neural Network の研究動向と液膜流れの問題への適用例2023
- Author(s)
  白鳥英、中村耀、杉原伊織
- Journal Title
  
  Journal of the Japanese Society for Artificial Intelligence
  
  Volume: 38 Issue: 3 Pages: 335-344
- DOI
  10.11517/jjsai.38.3_335
- ISSN
  2188-2266, 2435-8614
- Year and Date
  2023-05-01
- Language
  Japanese
- Data Source
  KAKENHI-PROJECT-22K03909
[Journal Article] Physics‐informed neural network applied to surface‐tension‐driven liquid film flows2022
- Author(s)
  Nakamura Yo、Shiratori Suguru、Takagi Ryota、Sutoh Michihiro、Sugihara Iori、Nagano Hideaki、Shimano Kenjiro
- Journal Title
  
  International Journal for Numerical Methods in Fluids
  
  Volume: early view Issue: 9 Pages: 1359-1378
- DOI
  10.1002/fld.5093
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K04175
[Journal Article] Efficient Implementation of Two-Phase Flow Solver Based on THINC/SW and S-CLSVOF on Unstructured Meshes2021
- Author(s)
  Suguru SHIRATORI, Takuro USUI, Shiho KOYAMA, Shumpei OZAWA, Hideaki NAGANO, Kenjiro SHIMANO
- Journal Title
  
  International journal of microgravity science and application
  
  Volume: 38 Issue: 3 Pages: 380301
- DOI
  10.15011/jasma.38.380301
- NAID
  130008070032
- ISSN
  2188-9783
- Year and Date
  2021-07-31
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K04175
[Journal Article] Spatio-temporal thickness variation and transient Marangoni number in striations during spin coating2020
- Author(s)
  Shiratori Suguru、Kato Daiki、Sugasawa Kyosuke、Nagano Hideaki、Shimano Kenjiro
- Journal Title
  
  International Journal of Heat and Mass Transfer
  
  Volume: 154 Pages: 119678-119678
- DOI
  10.1016/j.ijheatmasstransfer.2020.119678
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K04175
[Journal Article] Semi-analytical solution for deformation of elastic/viscoelastic two-layered films pressed on partially-opened substrate2020
- Author(s)
  Shiratori Suguru、Nagano Hideaki、Shimano Kenjiro
- Journal Title
  
  International Journal of Solids and Structures
  
  Volume: 191-192 Pages: 588-600
- DOI
  10.1016/j.ijsolstr.2019.12.013
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K04175
[Journal Article] 遠心力場での液膜流れに関する線形安定性解析2017
- Author(s)
  白鳥英，島野健仁郎，永野秀明
- Journal Title
  
  ながれ
  
  Volume: 36 Pages: 371-375
- Data Source
  KAKENHI-PROJECT-17H07158
[Presentation] PINNを用いたデータ同化法による複数物性値の同時推定2023
- Author(s)
  石澤翔，白鳥英，山口郁斗，永野秀明，島野健仁郎
- Organizer
  第37回数値流体力学シンポジウム
- Data Source
  KAKENHI-PROJECT-22K03909
[Presentation] 液膜流の方程式へのEvolutional Deep Neural Networkの適用2023
- Author(s)
  山下蒼，白鳥英，永野秀明，島野健仁郎
- Organizer
  流体力学会年会2023
- Data Source
  KAKENHI-PROJECT-22K03909
[Presentation] Physics-Informed Neural Networkにおける活性化関数の種別の影響2022
- Author(s)
  杉原伊織，白鳥英，永野秀明，島野健仁郎
- Organizer
  流体力学会年会2022
- Data Source
  KAKENHI-PROJECT-22K03909
[Presentation] Physics-Informed Neural Networkにおける活性化関数の種別の影響2022
- Author(s)
  杉原伊織，白鳥英，永野秀明，島野健仁郎
- Organizer
  流体力学会年会2022
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] スピンコート中の液膜流れの3次元非定常数値シミュレーション2021
- Author(s)
  小野航平、白鳥英、永野秀明、島野健仁郎
- Organizer
  第35回数値流体力学シンポジウム
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] Modeling of liquid film flow during spin-coating; Marangoni-Benard instability in parallel basic flow2021
- Author(s)
  Kohei Ono, Suguru Shiratori, Kenjiro Shimano, Hideaki Nagano
- Organizer
  8th International Conference on Heat Transfer and Fluid Flow (HTFF’21)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] Physics-Informed Neural Networkにおける転移学習の効果2021
- Author(s)
  中村耀、白鳥英、周藤道宏、永野秀明、島野健仁郎
- Organizer
  日本流体力学会年会2021
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] Physics-Informed Neural Network with Variable Initial Conditions2021
- Author(s)
  Yo Nakamura, Suguru Shiratori, Hideaki Nagano, Kenjiro Shimano
- Organizer
  8th International Conference on Heat Transfer and Fluid Flow (HTFF’21)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] 平行流中のMarangoni-Benard不安定性：スピンコート中の液膜内流れのモデリング2020
- Author(s)
  野航平、白鳥英、永野秀明、島野健仁郎
- Organizer
  日本流体力学会年会2020
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] 初期条件を可変とするPhysics-Informed Neural Network2020
- Author(s)
  中村耀、白鳥英、永野秀明、島野健仁郎
- Organizer
  日本流体力学会年会2020
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] Physics-Informed Neural Networkを用いた高速なデータ同化法2020
- Author(s)
  白鳥英、武田唯、中村耀、山口郁斗、永野秀明、島野健仁郎
- Organizer
  日本流体力学会年会2020
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] 液膜のスピンコートにおける放射状スジムラの形成過程：膜厚分布の時系列変化2019
- Author(s)
  白鳥英、加藤大輝、島野健仁郎、永野秀明
- Organizer
  日本マイクログラビティ応用学会第31回学術講演会
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] スピンコート中の液膜に発生する放射状スジムラ：膜厚分布の時系列変化の測定2019
- Author(s)
  白鳥英、加藤大輝、島野健仁郎、永野秀明
- Organizer
  日本流体力学会年会2019
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] 液膜流れの方程式に対するPhysics-Informed Machine Learningの有効性2019
- Author(s)
  白鳥英、高木遼太、中村耀、永野秀明、島野健仁郎
- Organizer
  日本流体力学会年会2019
- Data Source
  KAKENHI-PROJECT-19K04175
[Presentation] 回転基板上の液膜流れにおけるマランゴニ数の過渡変化2018
- Author(s)
  白鳥英，永野秀明，島野健仁郎
- Organizer
  日本流体力学会年会2018
- Data Source
  KAKENHI-PROJECT-17H07158
[Presentation] Linear stability analysis on liquid film flow on the rotating disc2018
- Author(s)
  Suguru Shiratori, Hideaki Nagano and Kenjiro Shimano
- Organizer
  12th European Fluid Mechanics Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H07158
[Presentation] 遠心力場での液膜流れに関する線形安定性解析2017
- Author(s)
  白鳥英，島野健仁郎，永野秀明
- Organizer
  日本流体力学会年会2017
- Data Source
  KAKENHI-PROJECT-17H07158
[Presentation] 薄液膜の塗布時に発生する放射状スジムラの形成機構2017
- Author(s)
  白鳥英，永野秀明，島野健仁郎
- Organizer
  日本マイクログラビティ応用学会第29回学術講演会
- Data Source
  KAKENHI-PROJECT-17H07158

1. 黒岩崇 (60425551)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 市川創作 (00292516)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Shiratori Suguru 白鳥 英

Research Projects

Research Products

Co-Researchers

Physics-informed machine learning with missing physics learning from observed data for liquid film coating processPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

水難溶性栄養成分の最適送達に向けた多糖-脂質ナノ複合体の機能設計と食品開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Data assimilation method based on physics-informed machine learning and its application to multiple simultaneous estimation of physical properties of coating filmsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Prediction of thickness undulations in coating of liquid films by means of physics-informed machine learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Modeling and suppression of the striation formation arising during spincoating of photoresist filmsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] 先端半導体製造プロセスの 最新動向と微細化技術，第3章5節2023

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] 液膜の塗布・乾燥プロセスのモデリングと膜厚ムラの形成機構に関する研究2024

Author(s)

Journal Title

Data Source

[Journal Article] Physics-Informed Neural Network の研究動向と液膜流れの問題への適用例2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Physics‐informed neural network applied to surface‐tension‐driven liquid film flows2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Efficient Implementation of Two-Phase Flow Solver Based on THINC/SW and S-CLSVOF on Unstructured Meshes2021

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Journal Article] Spatio-temporal thickness variation and transient Marangoni number in striations during spin coating2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Semi-analytical solution for deformation of elastic/viscoelastic two-layered films pressed on partially-opened substrate2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 遠心力場での液膜流れに関する線形安定性解析2017

Author(s)

Journal Title

Data Source

Shiratori Suguru 白鳥英

[Book] 先端半導体製造プロセスの最新動向と微細化技術，第3章5節2023