Ito Shin-ichi 伊藤伸一

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ITO Shin-ichi 伊藤伸一

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Researcher Number	10756331
Other IDs
Affiliation (Current)	2025: 東京大学, 地震研究所, 助教
Affiliation (based on the past Project Information) *help	2018 – 2024: 東京大学, 地震研究所, 助教 2016 – 2017: 東京大学, 地震研究所, 特任研究員
Review Section/Research Field	Principal Investigator Basic Section 13040:Biophysics, chemical physics and soft matter physics-related / Biological physics/Chemical physics/Soft matter physics Except Principal Investigator Medium-sized Section 60:Information science, computer engineering, and related fields / Basic Section 60100:Computational science-related
Keywords	Principal Investigator フェーズフィールドモデル / 乾燥亀裂 / データ同化 / 破壊 / 可視化 / ニューラルネットワーク / 輸送 / PIV / PINN / 深層学習 … More / 不均一性 / 確率過程 / 形状 / 統計則 … More Except Principal Investigator データ同化 / 4次元変分法 / Ginzburg-Landau方程式 / 代替関数 / サロゲートモデル / サンプリング / モデリング / 情報統計 / 地震 / 数値解析 Less

データ同化の信頼性向上に向けた時間逆向き数値計算法の確立と地震学への応用展開
- Principal Investigator
  
  宮武勇登
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60100:Computational science-related
- Research Institution
  Osaka University
Mathematical Foundation for Seismic Modeling Pioneered by Information Statistics
- Principal Investigator
  
  長尾大道
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  The University of Tokyo
破壊過程と流体輸送－データ同化・可視化によるアプローチPrincipal Investigator
- Principal Investigator
  
  伊藤伸一
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 13040:Biophysics, chemical physics and soft matter physics-related
- Research Institution
  The University of Tokyo
Understanding the elementary process of desiccation cracks based on large-scale data assimilationPrincipal Investigator
- Principal Investigator
  
  Ito Shin-ichi
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 13040:Biophysics, chemical physics and soft matter physics-related
- Research Institution
  The University of Tokyo
Theoretical study for fragment shape on desiccation crack patterns and its fracture processPrincipal Investigator
- Principal Investigator
  
  ITO Shin-ichi
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Biological physics/Chemical physics/Soft matter physics
- Research Institution
  The University of Tokyo

All 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation

[Journal Article] Observation site selection for physical model parameter estimation towards process-driven seismic wavefield reconstruction2023
- Author(s)
  Nakai, K., T. Nagata, K. Yamada, Y. Saito, T. Nonomura, M. Kano, S. Ito and H. Nagao
- Journal Title
  
  Geophysical Journal International
  
  Volume: 234 Issue: 3 Pages: 1786-1805
- DOI
  10.1093/gji/ggad165
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-23H00466
[Journal Article] Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots2023
- Author(s)
  Nakao, A., T. Kuwatani, S. Ito, and H. Nagao
- Journal Title
  
  Geophysical Journal International
  
  Volume: 236 Issue: 1 Pages: 379-394
- DOI
  10.1093/gji/ggad417
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-22K14131, KAKENHI-PROJECT-22K03542, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-23H00466
[Journal Article] Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault2022
- Author(s)
  Ito Shin-ichi、Kano Masayuki、Nagao Hiromichi
- Journal Title
  
  Geophysical Journal International
  
  Volume: 232 Issue: 1 Pages: 671-683
- DOI
  10.1093/gji/ggac354
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K03542, KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-19H05662
[Journal Article] Adjoint-based exact Hessian computation2021
- Author(s)
  S. Ito, T. Matsuda, and Y. Miyatake
- Journal Title
  
  BIT Numerical Mathematics
  
  Volume: - Issue: 2 Pages: 503-522
- DOI
  10.1007/s10543-020-00833-0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] Phase prediction method for pattern formation in time-dependent Ginzburg-Landau dynamics for kinetic Ising model without a priori assumptions of domain patterns2021
- Author(s)
  Anzaki, R., S. Ito, H. Nagao, M. Mizumaki, M. Okada, and I. Akai
- Journal Title
  
  Physical Review B
  
  Volume: 103 Issue: 9 Pages: 1-8
- DOI
  10.1103/physrevb.103.094408
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-17H01703, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-17H01704
[Journal Article] Bayesian inference of grain growth prediction via multi-phase-field models2019
- Author(s)
  Shin-ichi Ito, Hiromichi Nagao, Takashi Kurokawa, Tadashi Kasuya, and Junya Inoue
- Journal Title
  
  Physical Review Materials
  
  Volume: 印刷中
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] Analysis of desiccation crack pattern formations based on physics-informed neural networks2023
- Author(s)
  Shin-ichi Ito
- Organizer
  STATPHYS28
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] Analysis of desiccation crack pattern formations based on physics-informed neural networks2023
- Author(s)
  Shin-ichi Ito
- Organizer
  ICIAM 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] ニューラルネットワークに基づく破壊パターン形成のシミュレーション2023
- Author(s)
  伊藤伸一
- Organizer
  日本物理学会第78回年次大会
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023
- Author(s)
  Nagao, H., R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara
- Organizer
  European Geosciences Union General Assembly
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Foundation of data assimilation and its application to phase-field models2023
- Author(s)
  Nagao, H. and S. Ito
- Organizer
  MRM2023/IUMRS-ICA2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Shrinkage-induced Crack Pattern Formation Based on Variational Energy Physics-informed Neural Network2023
- Author(s)
  Shin-ichi Ito
- Organizer
  AOGS 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] 残差学習に基づく地震波形紙記録からの低周波微動の検出2023
- Author(s)
  金子亮介, 長尾大道, 伊藤伸一, 鶴岡弘, 小原一成
- Organizer
  人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023
- Author(s)
  Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
- Organizer
  The International Union of Geodesy and Geophysics, The 28th General Assembly
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023
- Author(s)
  Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
- Organizer
  Asia Oceania Geosciences Society, The 20th Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023
- Author(s)
  金子亮介, 長尾大道, 伊藤伸一, 鶴岡弘, 小原一成
- Organizer
  日本地球惑星科学連合大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ推定のための観測点選択2023
- Author(s)
  中井公美, 永田貴之, 山田圭吾, 齋藤勇士, 野々村拓, 加納将行, 伊藤伸一, 長尾大道
- Organizer
  日本地球惑星科学連合大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Shrinkage-induced Crack Pattern Formation Based on Variational Energy Physics-informed Neural Network2023
- Author(s)
  Ito, S.
- Organizer
  Asia Oceania Geosciences Society, The 20th Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] ニューラルネットワークに基づく破壊パターン形成のシミュレーション2023
- Author(s)
  伊藤伸一
- Organizer
  日本物理学会第78回年次大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] 乾燥収縮破壊パターンにおける表面張力揺らぎの効果2023
- Author(s)
  伊藤伸一
- Organizer
  日本物理学会2024年春季大会
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] シンプレクティックアジョイント法に基づくスロースリップ断層面の摩擦不均一性の不確実性評価2022
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  日本地震学会2022年度秋季大会
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Symplectic-adjoint-based uncertainty quantification method for large-scale data assimilation problems2022
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  Japan Geoscience Union
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] 収縮亀裂パターンの動的統計則に現れる相転移的性質2022
- Author(s)
  伊藤伸一, 中原明生, 湯川諭
- Organizer
  Japan Geoscience Union
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] シンプレクティックアジョイント法に基づくスロースリップ断層面上の摩擦空間不均一性の不確実性評価2022
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  JpGU 2022
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] Symplectic-adjoint-based Uncertainty Quantification Method for Large-scale Data Assimilation Problems2022
- Author(s)
  S. Ito, T. Matsuda, and Y. Miyatake
- Organizer
  AOGS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] 収縮亀裂パターンの動的統計則に現れる相転移的性質2022
- Author(s)
  伊藤伸一, 中原明生, 湯川諭
- Organizer
  JpGU 2022
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] Second-order adjoint 法の数理と応用2022
- Author(s)
  伊藤伸一
- Organizer
  統計数理研究所諸科学集会諸科学における統計思考 2022
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] Symplectic-adjoint-based uncertainty quantification method for large-scale data assimilation problems2022
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  JpGU 2022
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] シンプレクティックアジョイント法に基づくスロースリップ断層面の摩擦不均一性の不確実性評価2022
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  日本地震学会2022年度秋季大会
- Data Source
  KAKENHI-PROJECT-22K03542
[Presentation] Symplectic-adjoint-based Uncertainty Quantification Method for Large-scale Data Assimilation Problems2022
- Author(s)
  S. Ito, T. Matsuda, and Y. Miyatake
- Organizer
  Asia oceania geosciences society
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] シンプレクティックアジョイント法に基づくスロースリップ断層面上の摩擦空間不均一性の不確実性評価2022
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  Japan Geoscience Union
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] 乾燥亀裂パターンの動的統計則に現れる相転移的性質2021
- Author(s)
  伊藤伸一, 中原明生, 湯川諭
- Organizer
  日本物理学会 2021年秋季大会
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Adjoint-based Uncertainty Quantification of Frictional Inhomogeneity on Slow-Slipping Fault2021
- Author(s)
  S. Ito, M. Kano, and H. Nagao
- Organizer
  AOGS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Adjoint-based uncertainty quantification of frictional inhomogeneity on slow-slipping fault2021
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  JpGU 2021
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] シンプレクティックアジョイント法に基づく高精度不確実性評価法2021
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  統計関連学会連合大会 2021
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Adjoint-based exact Hessian-vector multiplication using symplectic Runge--Kutta methods2020
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  固体地球データ同化に関する研究会
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] 変分法データ同化に基づく断層すべり面の摩擦特性空間分布の不確実性評価2020
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Grain growth prediction based on data assimilation implementing 4DVar on multi-phase-field models2019
- Author(s)
  S. Ito
- Organizer
  StatPhys Seminar
- Invited
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Model Selection Based on Bayesian Inference that Uncovers Fundamental Dynamics of Desiccation Crack Patterns2019
- Author(s)
  Shin-ichi Ito, Akio Nakahara, and Satoshi Yukawa
- Organizer
  American Physical Society March meeting 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] 乾燥亀裂パターンの動的スケーリング則と統計的モデリング2019
- Author(s)
  伊藤伸一
- Organizer
  日大理工・船橋セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019
- Author(s)
  S. Ito and H. Nagao
- Organizer
  FSP2019: Frontiers of Statistical Physics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] 乾燥破壊パターンにおける破片サイズ分布のモデル選択2019
- Author(s)
  伊藤伸一, 中原明生, 湯川諭
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Uncertainty quantification for massive simulation models based on a second-order adjoint method2019
- Author(s)
  S. Ito
- Organizer
  A3 Soft Matter Workshop 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019
- Author(s)
  S. Ito, H. Nagao, T. Kurokawa, T. Kasuya, and J. Inoue
- Organizer
  NIMS WEEK 2019 Academic Symposium Poster Session
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019
- Author(s)
  S. Ito, M. Kano, and H. Nagao
- Organizer
  StatSei11
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Bayesian Inference of Grain Growth Prediction via Multi-Phase-Field Models2019
- Author(s)
  S. Ito, H. Nagao, T. Kurokawa, T. Kasuya, and J. Inoue
- Organizer
  AOGS
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019
- Author(s)
  S. Ito, H. Nagao, T. Kurokawa, T. Kasuya, and J. Inoue
- Organizer
  JpGU
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Detection of dynamic transition in drying crack patterns based on Bayesian model selection2019
- Author(s)
  S. Ito
- Organizer
  Seminar of joint research: Royal Society/JSPS collaboration project
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] 大規模４次元変分法データ同化に基づくスロースリップ断層面における摩擦特性不均一性の不確実性評価2019
- Author(s)
  伊藤伸一, 加納将行, 長尾大道
- Organizer
  日本地震学会秋季大会
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Uncertainty quantification for inhomogeneous frictional features in a slow-slipping fault based on a large-scale four-dimensional variational data assimilation2019
- Author(s)
  S. Ito, M. Kano, and H. Nagao
- Organizer
  American Geophysical Union(AGU) 2019 Fall Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019
- Author(s)
  S. Ito, M. Kano, and H. Nagao
- Organizer
  JpGU
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K14671
[Presentation] Statistical Modeling for Desiccation Cracking Based on Shape-Dependent Fragmentation Process2018
- Author(s)
  Shin-ichi Ito, Satoshi Yukawa
- Organizer
  American Physical Society March meeting 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] Grain Growth Prediction Based on Data Assimilation by Implementing 4DVar on Phase-Field Models2018
- Author(s)
  Shin-ichi Ito, Hiromichi Nagao, Takashi Kasuya, and Junya Inoue
- Organizer
  Asia Oceania Geosciences Society
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] Morphological properties of surface crack patterns due to volumetric shrinkage2018
- Author(s)
  Shin-ichi Ito and Satoshi Yukawa
- Organizer
  American Geophysical Union
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] Grain Growth Prediction Based on Data Assimilation by Implementing 4DVar on Phase-Field Models2018
- Author(s)
  Shin-ichi Ito, Hiromichi Nagao, Takashi Kasuya, and Junya Inoue
- Organizer
  Japan Geoscience Union
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] 大規模データ同化に基づく鉄鋼材料組織予測と計測デザイン2018
- Author(s)
  伊藤伸一, 長尾大道, 糟谷正, 井上純哉
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] Desiccation crack patterns based on phase-field modeling and their statistical properties2018
- Author(s)
  Shin-ichi Ito and Satoshi Yukawa
- Organizer
  The 9th International Conference on Multiscale Materials Modeling (MMM2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] フェーズフィールド法に基づく乾燥亀裂シミュレーションとその統計的性質2018
- Author(s)
  伊藤伸一, 湯川諭
- Organizer
  日本物理学会
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] 乾燥収縮破壊の破片形状依存性と統計的モデリング2017
- Author(s)
  伊藤伸一, 湯川諭
- Organizer
  日本物理学会
- Data Source
  KAKENHI-PROJECT-16K17779
[Presentation] 乾燥収縮破壊の破片形状依存性と統計的モデリング2017
- Author(s)
  伊藤伸一, 湯川諭
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K17779

1. 中原明生 (60297778)

# of Collaborated Projects: 2 results

# of Collaborated Products: 2 results
2. 加納将行 (10739056)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
3. 宮武勇登 (60757384)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 松田孟留 (50808475)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 長尾大道 (80435833)

# of Collaborated Projects: 1 results

# of Collaborated Products: 10 results
6. 廣瀬慧 (40609806)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 森川耕輔 (40824305)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 平田直 (90156670)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. YUKAWA Satoshi

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results

Ito Shin-ichi 伊藤 伸一

ITO Shin-ichi 伊藤 伸一

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データ同化の信頼性向上に向けた時間逆向き数値計算法の確立と地震学への応用展開

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Mathematical Foundation for Seismic Modeling Pioneered by Information Statistics

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破壊過程と流体輸送－データ同化・可視化によるアプローチPrincipal Investigator

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Understanding the elementary process of desiccation cracks based on large-scale data assimilationPrincipal Investigator

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Theoretical study for fragment shape on desiccation crack patterns and its fracture processPrincipal Investigator

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[Journal Article] Observation site selection for physical model parameter estimation towards process-driven seismic wavefield reconstruction2023

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[Journal Article] Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots2023

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[Journal Article] Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault2022

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[Journal Article] Adjoint-based exact Hessian computation2021

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[Journal Article] Phase prediction method for pattern formation in time-dependent Ginzburg-Landau dynamics for kinetic Ising model without a priori assumptions of domain patterns2021

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[Journal Article] Bayesian inference of grain growth prediction via multi-phase-field models2019

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[Presentation] Analysis of desiccation crack pattern formations based on physics-informed neural networks2023

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[Presentation] Analysis of desiccation crack pattern formations based on physics-informed neural networks2023

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[Presentation] ニューラルネットワークに基づく破壊パターン形成のシミュレーション2023

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[Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

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Ito Shin-ichi 伊藤伸一

ITO Shin-ichi 伊藤伸一