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

    ▶︎ 2026
  1. Development of Bayesian data assimilation system for phase-field simulation of Widmanstätten ferrite formation in steel
    Taiki Suzuki and Akinori Yamanaka
    The 12th International Conference on Multiscale Materials Modeling (MMM12)
    (8-13 November 2026, Jeju, Korea)

  2. Bayesian Data Assimilation for Phase-field Simulation of Fatigue Crack Propagation
    Akinori Yamanaka and Shinnosuke Yoshizaki
    WCCM-ECCOMAS2026
    (19-24 July 2026, Munich, Germany)

  3. Material Model Parameter Estimation Using Bayesian Data Assimilation: Effects of Specimen Geometry and Strain Measurement Region
    Masaki Isegawa, Shingo Nakajima, Shinji Takashina and Akinori Yamanaka
    WCCM-ECCOMAS2026
    (19-24 July 2026, Munich, Germany)

  4. Estimation of Material Model Parameter using Bayesian Data Assimilation and Biaxial Tensile Test
    Shun Shimaoka and Akinori Yamanaka
    WCCM-ECCOMAS2026
    (19-24 July 2026, Munich, Germany)

  5. Bayesian data assimilation-integrated phase-field modeling of Widmanstatten ferrite formation
    Taiki Suzuki and Akinori Yamanaka
    WCCM-ECCOMAS2026
    (19-24 July 2026, Munich, Germany)

  6. Data-driven Multi-phase-field Simulation of Static Recrystallization in Aluminum Alloy using in-situ EBSD observation and Bayesian Data Assimilation
    Akinori Yamanaka, Motoki Umezawa, Masato Ito, Kishu Akiba and Kenichi Yaguchi
    REX&GG2026
    (25-29 May 2026, Hamilton, Canada)

  7. Parameter Estimation for Multi-phase-field models of Grain Growth in a Metallic Thin Film using Non-sequential Bayesian Data Assimilation
    Shuma Ohga and Akinori Yamanaka
    REX&GG2026
    (25-29 May 2026, Hamilton, Canada)

  8. Material Parameter Identification using Bayesian Data Assimilation and Biaxial Tensile Test
    Akinori Yamanaka and Shun Shimaoka
    ESAFORM2026
    (27-29 April 2026, Thessaloniki, Greece)

    1. ▶︎ 2025
    2. Measurement of deformation behavior of aluminum alloy and estimation of material model using data assimilation
      Shun Shimaoka and Akinori Yamanaka
      APCOM-ACCM 2025
      (7-10 December 2025, Brisbane, Australia)

    3. Parameter estimation of material models for data assimilation using results of uniaxial tensile tests conducted under high-temperature conditions
      Masaki Isegawa, Shingo Nakajima, Shinji Takashina, Akinori Yamanaka
      APCOM-ACCM 2025
      (7-10 December 2025, Brisbane, Australia)

    4. Estimation of stored energy distribution using hybrid data assimilation and in-situ observation of static recrystallization in aluminum alloy
      Motoki Umezawa, Masato Ito, Yuya Sakakibara, Kishu Akiba, Kenichi Yaguchi and Akinori Yamanaka
      APCOM-ACCM 2025
      (7-10 December 2025, Brisbane, Australia)

    5. Parameter estimation of a multi-phase field model for austenite-to-ferrite transformation in steel based on Bayesian inference
      Taiki Suzuki, Keita Nakayama and Akinori Yamanaka
      APCOM-ACCM 2025
      (7-10 December 2025, Brisbane, Australia)

    6. Bayesian data assimilation-integrated phase-field simulation of solid-state sintering and other phenomena
      Akinori Yamanaka*
      MRS Fall Meeting & Exhibit 2025 (*Invited lecture)
      (November 30-December 5 2025 @ Boston, USA)

    7. Identification of material models using Bayesian data assimilation and multiple material testing methods
      Akinori Yamanaka
      NUMISHEET2025
      (July 6-11, 2025 at Munich, Germany)

    8. Bayesian Data Assimilation in Latent Space for Phase-field Simulation using Variational Autoencoder
      Akinori Yamanaka
      3rd World Congress on Artificial Intelligence in Materials & Manufacturing (AIM 2025)
      (June 16-19, 2025 at Anaheim, USA)

      1. ▶︎ 2024
      2. Inverse calibration of material model parameters using digital image correlation measurement and finite element simulation coupled with non-sequential data assimilation
        Sae Sueki, Sam Coppieters and Akinori Yamanaka
        The 11th International Conference on Multiscale Materials Modeling (MMM11)
        (September 22-27, 2024 at Czech Republic)

      3. Multi-phase-field simulation of microstructure evolution during austenite-to-ferrite transformation in Fe-C-Mn alloy using machine learning and Bayesian inference
        Taiki Suzuki, Shoichiro Nakamura, Akinori Yamanaka
        The 11th International Conference on Multiscale Materials Modeling (MMM11)
        (September 22-27, 2024 at Czech Republic)

      4. Large-scale phase-field simulation of microstructural evolution during solid-state sintering of BaFe2As2 superconducting material
        Akimitsu Ishii, Kondo Kyoyu, Akinori Yamanaka, Akiyasu Yamamoto
        The 11th International Conference on Multiscale Materials Modeling (MMM11)
        (September 22-27, 2024 at Czech Republic)

      5. Simulation of static recrystallization in A1100 aluminum alloy using Bayesian data assimilation of multi-phase-field method and in-situ observation
        Motoki Umezawa, Kishu Akiba, Masato Ito, Nobuhiro Kitahara, Kenichi Yaguchi, Akinori Yamanaka
        The 11th International Conference on Multiscale Materials Modeling (MMM11)
        (September 22-27, 2024 at Czech Republic)

      6. Data-driven extraction of morphological features of splashing drop of different viscosities using automated experimentation and explainable artificial intelligence
        Jingzu Yee, Shunsuke Kumagai, Shun Miyatake, Daichi Igarashi, Pradipto, Akinori Yamanaka, and Yoshiyuki Tagawa
        The 26th International Congress of Theoretical and Applied Mechanics (ICTAM) 2024
        (August 25-30, 2024, at Daegu, Korea)

      7. Data assimilation-integrated multi-phase-field simulation of solidification in SUS316L stainless steel in additive manufacturing
        Shoichiro Nakamura, Masahiro Kawasaki, Masahito Segawa, and Akinori Yamanaka
        16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics
        (July 21-26, 2024, at Vancouver, British Columbia, Canada)

      8. Data assimilation using in situ observation data for high-fidelity phase-field simulation of solid-state sintering
        Akimitsu Ishii, Akinori Yamanaka, Mizumo Yoshinaga, Shunsuke Sato, Midori Ikeuchi, Satoshi Hata, Hikaru Saito, and Akiyasu Yamamoto
        16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics
        (July 21-26, 2024, at Vancouver, British Columbia, Canada)

      9. Identification of parameters included in phase-field fracture model using Bayesian data assimilation and digital image correlation
        Akinori Yamanaka, Ryuki Funamoto, Kengo Sasaki, and Akimitsu Ishii
        16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics
        (July 21-26, 2024, at Vancouver, British Columbia, Canada)

      10. Bayesian Data Assimilation-integrated Phase-field Modeling of Fracture (* Invited Lecture)
        Akinori Yamanaka, Ryuki Funamoto, Kengo Sasaki and Akimitsu Ishii
        The 5th International Symposium on Phase-Field Modelling in Materials Science (PF24)
        (May 19-23, 2024 Hangzhou, Zhejiang Province, China)

      11. Inverse Estimation of Material Model Parameters using Bayesian Data Assimilation Method
        Akinori Yamanaka, Michihiko Suda, Sae Sueki, Kengo Sasaki and Ryuki Funamoto
        International ESAFORM conference 2024
        (April 24-26, 2024, at Toulouse, France)
        A. Yamanaka, M. Suda, S. Sueki, K. Sasaki, R. Funamoto, Inverse estimation of material model parameters using Bayesian data assimilation, Materials Research Proceedings, Vol. 41 (2024) pp. 1190-1195. (Reviewed paper)

        1. ▶︎ 2023
        2. Material parameter estimation for aluminum alloy sheet using non-sequential data assimilation
          Michihiko Suda, Kengo Sasaki, Akimitsu Ishii, Sam Coppieters and Akinori Yamanaka
          The 11th Pacific Rim International Conference on Advanced Materials and Processing
          (November 19-23, 2023, at Jeju, Korea)

        3. Data assimilation-integrated multi-phase-field simulation of solidification in SUS316L stainless steel during additive manufacturing
          Shoichiro Nakamura, Masahito Segawa, Akinori Yamanaka
          The 11th Pacific Rim International Conference on Advanced Materials and Processing
          (November 19-23, 2023, at Jeju, Korea)

        4. Data assimilation-integrated phase-field simulation of ternary alloy solidification in forced convection using local ensemble transform Kalman
          Masahiro Kawasaki, Akinori Yamanaka
          The 11th Pacific Rim International Conference on Advanced Materials and Processing
          (November 19-23, 2023, at Jeju, Korea)

        5. Molecular dynamics simulation of three-dimensional ferrite nucleation behavior during austenite-to-ferrite transformation in pure iron
          Mizuki Serada, Tomoo Fujiwara, Akinori Yamanaka
          The 11th Pacific Rim International Conference on Advanced Materials and Processing
          (November 19-23, 2023, at Jeju, Korea)

        6. Non-equilibrium multi-phase-field simulation of solidification in SUS316L stainless steel
          Akinori Yamanaka, Shoichiro Nakamura, Masahito Segawa
          The 1st international conference on Creation of Materials by Super-thermal Field 2023
          (November 15-17, 2023, at Osaka, Japan)

        7. Data Assimilation of Phase-field Crack Propagation Simulation and Full-field Measurement using Digital Image Correlation
          Akinori Yamanaka, Ryuki Funamoto, Michihiko Suda and Kengo Sasaki
          The Advanced Technology in Experimental Mechanics and International DIC Society Joint Conference 2023 (ATEM-iDICs'23)
          (October 9-12, 2023, at Fukui, Japan)

        8. Evaluation of inclination-dependent grain boundary properties via data assimilation for molecular dynamics and phase-field simulations
          Tomoo Fujiwara, Eisuke Miyoshi, Akinori Yamanaka
          Euromat 2023
          (September 3-7, 2023, at Frankfurt, Germany)

        9. Multi-scale simulation of microstructure evolutions of the superconductor BaFe2As2 using Phase-field method and first-principles calculation
          Kyoyu Kondo, Akimitsu Ishii, Akinori Yamanaka, Akiyasu Yamamoto
          Euromat 2023
          (September 3-7, 2023, at Frankfurt, Germany)

        10. Data Assimilation for Phase-field Navier-Stokes Model of Alloy Solidification using Local Ensemble Transform Kalman Filter
          Masahiro Kawasaki and Akinori Yamanaka
          ASME-JSME-KSME Joint Fluids Engineering Conference 2023
          (July 9-13, 2023, at Osaka, Japan)

        11. Three-dimensional phase-field simulation of static recrystallization in aluminum alloy combined with Bayesian data assimilation
          Kota Matsumoto, Eisuke Miyoshi, Yoshiki Mori, Kishu Akiba, Masato Ito, Nobuhiro Kitahara, Kenichi Yaguchi and Akinori Yamanaka
          TMS 2023 Annual Meeting & Exhibition
          (March 19-23, 2023, at San Diego, CA, USA)

        12. Data Assimilation for Estimation of Microstructural Evolution during Solid-state Sintering: Integration of Phase-field Simulation and In-situ Experimental Observation
          Akimitsu Ishii, Akinori Yamanaka, Satoshi Hata, Hikaru Saito, and Akiyasu Yamamoto
          TMS 2023 Annual Meeting & Exhibition
          (March 19-23, 2023, at San Diego, CA, USA)

          1. ▶︎ 2022
          2. Bayesian data assimilation for inverse material modelling using 3D-digital image correlation measurement
            Sae Sueki*, Akimitsu Ishii, Akinori Yamanaka
            JSME International Conference on Materials and Processing 2022
            Proceedings of JSME International Conference on Materials and Processing 2022, (2022), Paper No. Tu-3B-3. (Reviewed paper)

          3. Bayesian data assimilation for phase-field simulation of microstructure evolution
            (Keynote lecture)
            Akinori Yamanaka, Eisuke Miyoshi, and Akimitsu Ishii
            The 10th International Congress on Multiscale Materials modeling (MMM10)
            (October 2-7, 2022, at Boltimore, MD, USA)

          4. Combined Bayesian inference and phase-field modelling for evaluating triple-junction drag on grain boundary migration
            Eisuke Miyoshi, Munekazu Ohno, Yasushi Shibuta, Akinori Yamanaka and Tomohiro Takaki
            The 10th International Congress on Multiscale Materials modeling (MMM10)
            (October 2-7, 2022, at Boltimore, MD, USA)

          5. Efficient data assimilation method for phase-field simulation of solid-state sintering: Employment of tree-structured parzen estimator approach
            Akimitsu Ishii, Michihiko Suda and AKinori Yamanaka
            The 10th International Congress on Multiscale Materials modeling (MMM10)
            (October 2-7, 2022, at Boltimore, MD, USA)

          6. Multi-scale simulation of microstructure evolutions using phase-field method and molecular dynamics method with machine learning interatomic potential
            Kyoyu Kondo, Akinori Yamanaka, Akimitsu Ishii and Akiyasu Yamamoto
            The 10th International Congress on Multiscale Materials modeling (MMM10)
            (October 2-7, 2022, at Boltimore, MD, USA)

          7. 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 (Virtual))

          8. 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 (Virtual))

          9. 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 (Virtual))

          10. 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 (Virtual))

          11. 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 (Virtual))

          12. 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 (Virtual))

          13. 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)

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