最新レスポンシブHTMLテンプレート no.002 サンプルロゴ

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PUBLICATIONS

International Conferences

    ▶︎ 2022
  1. Phase-Field Modelling of Solid-State Sintering for Predicting Three-Dimensional Microstructural Evolution in Polycrystalline Bulk Superconducting Materials
    Akimitsu Ishii, Akinori Yamanaka, Yuki Okada and Akiyasu Yamamoto
    The 10th International Congress on Multiscale Materials modeling (MMM10)
    (October 2-7, 2022, at Boltimore, MD, USA)
  2. Simulation of Intermetallic Compound Growth in Sn-Ag-Cu Alloys using Non-equilibrium Multi-Phase-Field Model
    Masahito Segawa, Akinori Yamanaka, and Sukeharu Nomoto
    The 10th International Congress on Multiscale Materials modeling (MMM10)
    (October 2-7, 2022, at Boltimore, MD, USA)
  3. Bayesian Phase-Field Simulation of Microstructure Evolution using Data Assimilation (*Invited talk)
    Akinori Yamanaka, Kazuki Takahashi, and Akimitsu Ishii
    The 10th International Congress on Multiscale Materials modeling (MMM10)
    (October 2-7, 2022, at Boltimore, MD, USA)
  4. Abnormal Grain Growth Induced by Nonuniform Grain Boundary Properties: Large-scale Phase-field Simulation vs. Mean-field Theory
    Eisuke Miyoshi, Munekazu Ohno, Yasushi Shibuta, Akinori Yamanaka, and Tomohiro Takaki
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  5. Inference of Grain Boundary Properties by Data Assimilation using Phase-field-crystal and Multi-phase-field Simulations
    Zong Hua, Shinji Sakane, Eisuke Miyoshi, Akinori Yamanaka and Tomohiro Takaki
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  6. Phase-field simulation of ternary alloy solidification in forced convection with local ensemble transform kalman filter
    Kawasaki Masahiro, Akinori Yamanaka, and Eisuke Miyoshi
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  7. Material Model Calibration using 3D-DIC measurement and Bayesian Data Assimilation
    Sae Sueki, Akimitsu Ishii, Eisuke Miyoshi, and Akinori Yamanaka
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  8. Calibration of Material Model for Sheet Metalls Using Digital Image Correlation and Bayesian Data Assimilation
    Michihiko Suda, Ryunosuke Kamijyo, Akimitsu Ishii, and Akinori Yamanaka
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  9. DMC-BO: Efficient Data Assimilation Method using Bayesian Optimization for Phase-field Simulation of Solid-state Sintering
    Akimitsu Ishii, Akinori Yamanaka, Eisuke Miyoshi and Akiyasu Yamamoto
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  10. Data Assimilation for Phase-Field Modelling and In-Situ EBSD Observation of Static Recrystallization in Aluminum Alloy
    Kota Matsumoto, Akinori Yamanaka, Eisuke Miyoshi, Yoshiki Mori, Masato Ito, Nobuhiro Kitahara, and Ken-ichi Yamaguchi
    The World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022 (WCCM-APXOM2022)
    (July 31-August 5, 2022, at Yokohama, Kanagawa, Japan)
  11. Spreading Dynamics of a Splashing Drop on a Solid Surfacefrom the Perspective of Artificial Neural Networks (ANNs)
    Jingzu Yee, Daichi Igarashi, Akinori Yamanaka, and Yoshiyuki Tagawa
    AIAA Aviation Forum
    (June 27-July 22, 2022, at Chicago, IL, USA)
  12. ▶︎ 2021
  13. Four-dimensional variational method coupled with Bayesian optimization for phase-field simulation of solid-state sintering
    Akimitsu Ishii, Akinori Yamanaka, Eisuke Miyoshi, and Akiyasu Yamamoto
    Materials Research Meeting 2021 (MRM2021)
    (December 13-17, 2021, at Yokohama, Japan)
  14. Estimation of biaxial stress-strain curves for aluminum alloy sheets using deep neural network
    Akinori Yamanaka, Kohta Koenuma, Ryunosuke Kamijyo, Ikumu Watanabe and Toshihiko Kuwabara
    25th International Congress of Theoretical and Applied Mechanics (ICTAM2020+1)
    (August, 2021, at Milano, Italy)
  15. Bayesian Data Assimilation for Phase-field simulation of Solid-state Sintering
    Akimitsu Ishii, Akinori Yamanaka, Yuki Okada, and Akiyasu Yamamoto
    TMS Annual Meeting & Exhibition 2021
    (March 15-18, 2021, Online)
  16. Phase-field simulation of solid-state sintering for predicting microstructural evolution in polycrystalline bulk superconducting material
    Akimitsu Ishii, Akinori Yamanaka, Yuki Okada, and Akiyasu Yamamoto
    14th World Congress in Computational Mechanics (WCCM)
    (January 11-15, 2021, at Web)
  17. Estimation of biaxial tensile deformation behavior of aluminum alloy sheet using deep learning
    Ryunosuke Kamijyo, Akinori Yamanaka, Kohta Koenuma, Ikumu Watanabe and Toshihiko Kuwabara
    14th World Congress in Computational Mechanics (WCCM)
    (January 11-15, 2021, at Web)
  18. ▶︎ 2020
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