MEMBERS

Honda, R., Endo, K., Kaji, T., Suzuki, Y., Matsuda, Y., Tanaka, S., Muramatsu, M., “Development of optimization method for truss structure by quantum annealing”, Scientific Reports, Vol. 14, No. 13872, pp. 1-13, (2024).https://doi.org/10.1038/s41598-024-64588-2

Achievement of Misato Suzuki

Paper

  1. Suzuki, M., Muramatsu, M., Reese, S., Prume, E., “Efficient evaluation of mechanical properties for two-phase materials using a direct data-driven approach”, Materials & Design, Vol. 259, 114946, pp. 1-10, (2025).https://doi.org/10.1016/j.matdes.2025.114946
  2. Ikeda, A., Higuchi, R., Yokozeki, T., Endo, K., Kojima, Y., Suzuki, M., Muramatsu, M., “Conditional diffusion model for inverse prediction of process parameters and dendritic microstructures from mechanical properties”, Scientific Reports, Vol. 15, 37147, pp. 1-20, (2025).https://doi.org/10.1038/s41598-025-22942-y
  3. Suzuki, M., Shizawa, K., Muramatsu, M., “Dislocation-based crystal plasticity simulation on grain-size dependence of mechanical properties in dual-phase steels”, International Journal of Solids and Structures, Vol. 323, 113634, pp. 1-12, (2025).https://doi.org/10.1016/j.ijsolstr.2025.113634
  4. Suzuki, M., Shizawa, K., Muramatsu, M., “Deep learning-aided inverse analysis framework to accelerate the exploration of DP steel microstructures”, Materials Today Communications, Vol. 41, pp. 110557 1-17, (2024). https://doi.org/10.1016/j.mtcomm.2024.110557

International conference

  1. Suzuki, M.*, Muramatsu, M., “Investigation of a Machine Learning-assisted Material Point Method for Buckling Analysis”, XVIII International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS2025), Spain (2025), 701A-5.
  2. Suzuki, M.*, Prume, E., Reese S., Muramatsu, M., “Direct data-driven approach for sequential boundary value problems in two-phase materials”, 4th International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE2025), in Kobe, Japan, (2025), MS06-2-05.
  3. Ikeda, A.*，Higuchi, R., Yokozeki, T., Endo, K., Kojima, Y., Suzuki, M., Muramatsu, M., “Prediction of Microstructures of Dendrite Crystals and Process Parameters for Thermoplastic Resin Based on Mechanical Properties Using The Conditional Diffusion Model”, 16th World Congress on Computation Mechanics & 4th Pan American Congress on Computational Mechanics (WCCM-PANACM2024), Canada (2024), MS1807, W241892.
  4. Suzuki, M.*，Shizawa, K., Muramatsu, M., “Evaluation of mechanical properties of three-dimensional polycrystalline microstructures of dual-phase steel using machine learning model based on phase-field method and crystal plasticity finite element method”, 16th World Congress on Computation Mechanics & 4th Pan American Congress on Computational Mechanics (WCCM-PANACM2024), Canada (2024), MS0401, W240956.
  5. Suzuki, M.*，Shizawa, K., Muramatsu, M., “Evaluation of Effect of Microstructures on Mechanical Properties of Dual-phase Steel”, International Conference in an explosively growing informatics world (CIMTEC2024), Italy (2024), P01.
  6. Muramatsu, M.*, Suzuki, M., Shizawa，K., “Dislocation-crystal Plasticity Simulation for Investigation of Grain Size Dependency in Dual Phase Steel”, XVII International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS2023), Spain (2023), IS1703b-1.
  7. Suzuki, M.*, Shizawa. K., Muramatsu, M., “Investigation on Optimal Microstructure of Dual Phase Steel with High Strength and Ductility by Machine Learning”, XVII International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS2023), Spain (2023), IS1703d-4.

Domestic conference

  1. 鈴木美智*, 志澤一之, 村松眞由「機械学習を用いた材料微視組織提案手法の構築および構造設計への応用に向けた検討｣, M&M・CMD若手シンポジウム2025, ID33, (2025).
  2. 鈴木美智*, 村松眞由「GNNを用いたMPMの計算高速化に関する検討｣, 第30回計算工学講演会, B-03-02, (2025).
  3. 鈴木美智*, Prume Erik, Reese Stefanie, 村松眞由「二相材料の材料組織の探索におけるデータ駆動型アプローチを用いた力学特性評価｣, 第37回日本機械学会計算力学講演会, OS-1810, (2024).
  4. 池⽥有沙*, 樋⼝諒, 横関智弘, 遠藤克浩, 児嶋佑太, 鈴⽊美智, 村松眞由「Conditional Diffusionモデルを⽤いた⼒学特性に基づく熱可塑性樹脂のデンドライト結晶および加⼯温度の予測｣, 第29回計算工学講演会, A-08-04 (6 pages), (2024).
  5. 鈴木美智*, 志澤一之, 村松眞由「Phase-field法および結晶塑性解析による3次元多結晶体Dual Phase鋼の力学特性評価｣, 第36回日本機械学会計算力学講演会講演論文集, OS20-04 (4 pages), (2023).
  6. 鈴木美智*, 志澤一之, 村松眞由「機械学習を用いたPhase-field法と結晶塑性解析によるDual Phase鋼材料組織の探索｣, ナノ力学若手交流会, P2-54, (2023).
  7. 鈴木美智*, 志澤一之, 村松眞由「機械学習による高強度・高延性を示す最適なDual Phase鋼材料組織の探索｣, 第28回計算工学講演会, A-12-05 (6 pages), (2023).

Award

  1. 日本機械学会三浦賞（2025.03.21）
  2. 2022年度 慶應義塾大学理工学部機械工学科 優秀発表賞（2023.03.23）
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