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

    ▶︎ 2024
  1. 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)

  2. 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

  8. 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)

  9. Bayesian Data Assimilation-integrated Phase-field Modeling of Fracture
    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)

  10. 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)

  11. ▶︎ 2023
  12. 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)

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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)

  18. 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)

  19. 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)

  20. 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)

  21. 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)

  22. 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)

  23. ▶︎ 2022
  24. 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)

  25. 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)

  26. 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)

  27. 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)

  28. 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)

  29. 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))

  30. 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))

  31. 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))

  32. 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))

  33. 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))

  34. 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))

  35. 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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