Muramatsu, Mayu

写真a

Affiliation

Faculty of Science and Technology, Department of Mechanical Engineering ( Yagami )

Position

Associate Professor
Scopus Paper Info  
Paper Count: 80 Citation Count: 709 h-index: 14

Click to view the Scopus page. The data was downloaded from Scopus API in October 18, 2026, via http://api.elsevier.com and http://www.scopus.com .

Page Top ▲

Career 【 Display / hide 】

  • 2011.04
    -
    2012.03

    Keio University, Faculty of Science and Technology,　Department of Mechanical Engineering,Research Associate(Non-tenured)

  • 2012.04
    -
    2014.03

    National Institute of Advanced Industrial Science and Technology (AIST), Advanced Manufacturing Research Institute,Researcher

  • 2014.04
    -
    2018.03

    Tohoku University, Graduate School of Environmental Studies, Department of Frontier Sciences for Advanced Environment,Assistant Professor

  • 2018.04
    -
    2022.03

    Keio University, Faculty of Science and Technology, Department of Mechanical Engineering,Assistant Professor

  • 2022.04
    -
    Present

    Keio University, Faculty of Science and Technology, Department of Mechanical Engineering,Associate Professor

Page Top ▲

Academic Background 【 Display / hide 】

  • 2003.04
    -
    2007.03

    Keio University, Faculty of Science and Technology, Department of Mechanical Engineering

    University, Graduated

  • 2007.04
    -
    2009.03

    Keio University, Graduate School, Division of Science and Engineering, School of Integrated Design Engineering

    Graduate School, Completed, Master's course

  • 2009.04
    -
    2012.03

    Keio University, Graduate School, Division of Science and Engineering, School of Integrated Design Engineering

    Graduate School, Completed, Doctoral course

Page Top ▲

Academic Degrees 【 Display / hide 】

  • Master of Engineering, Keio University, 2009.03

  • Doctor of Engineering, Keio University, Coursework, 2012.03

    微視的保存則に基づくPhase-fieldモデルの構築およびサブグレインからの核生成・核成長に関する静的再結晶シミュレーション

Page Top ▲
 

Books 【 Display / hide 】

  • 連続体の力学: 変形場・流れ場・伝熱場・物質拡散場の統一理論

    Shizawa, K., Muramatsu, M., 朝倉書店, 2026.06

    　View Summary

    統一的な理論体系として，固体や流体の変形だけでなく，流れ場，伝熱場，物質拡散場といった異なる物理現象を連続体の力学として統一的に扱う理論を構築している．テンソル解析の重視し，連続体力学の本質と数理的理解を深めるため，序盤に豊富なページを割いてテンソル解析を基礎から丁寧に解説している．熱力学的なアプローチを採用し，力学的な釣り合いだけでなく，熱力学に基づいた構成式の導出やエネルギー原理を取り入れている．

Page Top ▲

Papers 【 Display / hide 】

  • Development of Hamiltonian for Structural Applications by Quantum Annealing Assuming Finite Element Method

    Honda R., Endo K., Suzuki Y., Matsuda Y., Tanaka S., Muramatsu M.

    International Journal for Numerical Methods in Engineering 127 ( 17 ) e70414 2026.09

    Research paper (scientific journal), Joint Work, Last author, Accepted,  ISSN  00295981

    　View Summary

    Quantum annealing is emerging as a practical tool for large-scale combinatorial optimization. We map continuum displacements and element densities to binary variables, turning both deformation analysis and topology optimization into quadratic unconstrained binary optimization (QUBO) problems that run on today's annealers. Two formulations are compared: one derived from the stiffness equation and another from the minimum total potential energy. Benchmarks show the energy-based QUBO matches finite-element displacements and stresses more closely and avoids the rapid term-count growth that slows the stiffness-based form. The numerical demonstrations reported here include deformation analysis of a 100-element plate model and topology optimization of cantilever beams discretized with up to 60 triangular elements or 32 rectangular elements. These examples are intended as proof-of-concept demonstrations under current hardware and encoding limitations rather than as large-scale industrial benchmarks. Leveraging this model, a single QUBO embedding density variables–implemented with combinatorial random-number sums and a quadratic volume penalty–yields two-dimensional beam layouts that are quantitatively compared with those obtained using the classical Optimality Criteria (OC) method.

  • Predicting inclusion-type internal defects in composites with complex structural shapes from experimental infrared thermography and numerical simulations: A demonstration of a machine learning approach based on graph neural networks

    Kojima Y., Yvonnet J., Endo K., Harada Y., Muramatsu M.

    Composites Part B: Engineering 326   114041 2026.08

    Research paper (scientific journal), Joint Work, Last author, Accepted,  ISSN  13598368

    　View Summary

    This study proposes a machine learning-based framework for predicting three-dimensional internal defects in a complex-shaped carbon fiber reinforced plastic (CFRP) specimen, using experimentally measured thermoelastic and computational FEA stress distributions. The proposed method employs a graph neural network (GNN), which directly incorporates the FEA mesh. First, high-frequency noise in the thermoelastic two-dimensional stress distribution is removed via Fourier analysis. Then the denoised field is mapped, using partial least squares and Gaussian process regression, into the principal component analysis (PCA) latent space of two-dimensional FEA stress distributions. Next, a multi-layer perceptron projects the latent variables of the two-dimensional stress fields into the latent space of the three-dimensional FEA stress distributions. The resulting latent variables are then reconstructed via PCA to obtain the three-dimensional stress distribution. Finally, the reconstructed three-dimensional stress distribution is input to a GNN trained on FEA datasets to predict three-dimensional internal defects. Conventional nondestructive inspection techniques for CFRP structures, such as X-ray imaging and ultrasonic testing, face safety, cost, and geometric constraints. In contrast, infrared stress measurement offers safer, simpler, and real-time inspection within the field of view. The proposed method estimates internal defect positions from surface stress information and provides a basis for reducing expert-dependent interpretation in future workflows. The present study demonstrates the feasibility of the proposed framework using one complex-shaped CFRP specimen with curved surfaces, such as a prosthetic-leg geometry, under the prescribed defect conditions.

  • Tackling multiphysics problems via finite element guided physics-informed operator learning

    Yamazaki, Y; Asl, RN; Apel, M; Muramatsu, M; Rezaei, S

    Results in Engineering 32   112132 2026.07

    Research paper (scientific journal), Joint Work, Accepted

  • Secant-based multiscale constitutive modeling toward coupled homogenized finite element method and molecular dynamics for polycarbonate

    Terashima Y.L., Brumby P.E., Murashima T., Kouznetsova V., Muramatsu M.

    Materials Today Communications 54   115578 2026.06

    Research paper (scientific journal), Joint Work, Last author, Accepted

    　View Summary

    This study presents a secant-based multiscale constitutive modeling framework coupling homogenized finite element method (FEM) and molecular dynamics (MD) for the nonlinear and strain-dependent mechanical behavior of polymeric materials. Representative unit cells governed by MD simulations are assigned to each FEM integration point and deformed consistently with the macroscopic deformation gradient. In conventional atomistic-to-continuum approaches, constitutive responses are often derived from analytically evaluated tangent stiffness at the reference configuration, which is feasible only for simple interatomic potentials. For realistic polymeric systems, however, analytical evaluation of tangent stiffness is generally intractable, and the discrepancy in boundary condition treatment between FEM and MD further complicates direct constitutive coupling. To overcome these difficulties, the proposed framework employs a secant-based approach that enables the extraction of physically meaningful secant properties, such as the secant modulus and transverse contraction coefficient, from temporally averaged MD stress and strain data, which in turn serve as effective constitutive descriptors within the homogenization framework. The proposed method is demonstrated through three numerical examples: uniform tensile simulation on a single-element model, non-uniform tensile simulation on a single-element model, and tensile simulation on a multi-element model of a quarter perforated structure. The results show that the framework successfully reproduces key features of the nonlinear stress–strain behavior obtained from pure MD simulations, while preserving the continuum-scale consistency required for FEM. Overall, the proposed approach provides a robust pathway for incorporating atomistic dynamics into continuum constitutive modeling of polymeric materials.

  • Accelerating hierarchical FEM-MD simulations using clustering

    Kobayashi, M; Terashima, YL; Murashima, T; Yvonnet, J; Muramatsu, M

    Mechanical Engineering Journal 13 ( 3 ) 25-00343 2026.04

    Research paper (scientific journal), Joint Work, Last author, Accepted,  ISSN  2187-9745

display all >>

Page Top ▲

Papers, etc., Registered in KOARA 【 Display / hide 】

display all >>

Page Top ▲

Reviews, Commentaries, etc. 【 Display / hide 】

  • 有限要素解析および赤外線応力測定による応力分布に基づく機械学習を用いたCFRP 試験片の欠陥3 次元情報の予測

    村松眞由, 児嶋佑太

    日本赤外線学会誌 (日本赤外線学会)   2026.08

    Article, review, commentary, editorial, etc. (scientific journal), Joint Work, Lead author

  • 固体力学シミュレーションのための量子コンピューティング

    村松眞由, 本田理央

    情報処理学会誌 (情報処理学会)  66 ( 9 )  2025.08

    Article, review, commentary, editorial, etc. (scientific journal), Joint Work, Lead author

  • 機械学習と計算力学の融合

    村松眞由

    機械工学年鑑2025 (日本機械学会)   2025.07

    Article, review, commentary, editorial, etc. (scientific journal), Single Work, Lead author, Last author

  • Women in quantum

    Li, Y., Mather, M., Metje, N., Cacciapuoti, A.S., Criscuolo, L., d’Avossa, L., Muramatsu, M., Maragkou, M.

    Communications Engineering 4 ( 1 )  2025.06

    Article, review, commentary, editorial, etc. (scientific journal), Joint Work

  • Development of a MD-FEM Coupling Analysis Method and Its Application to Nanopolycrystalline Aluminium

    Muramatsu M., Yamazaki Y., Terashima Y.

    Journal of the Society of Materials Science, Japan (日本材料学会)  73 ( 8 ) 651 - 657 2024.08

    Article, review, commentary, editorial, etc. (scientific journal), Joint Work, Lead author

Page Top ▲

Presentations 【 Display / hide 】

  • Numerical Modelling of Materials Simulation Using Quantum Computing

    Sato, W., Endo, K., Sasaki, S., Muramatsu, M.

    [International presentation]  International Conference on Applied Quantum Methods in Computational Science and Engineering 2026, S1-2, 

    2026.09
    , 

    Oral presentation (general)

  • 計算力学に関する量子コンピューティング～材料組織形成とその関連解析～

    村松眞由

    [Domestic presentation]  京都工芸繊維大学 未来デザイン・工学機構高性能シミュレーション研究センター第３回講演会（大規模シミュレーション研究分野）, 

    2026.02
    , 

    Oral presentation (invited, special)

  • Numerical Modelling of Materials Simulation Using Quantum Computing

    Muramatsu, M.

    [International presentation]  Oden Institute Seminar, 

    2025.10
    , 

    Oral presentation (invited, special)

  • phase-field QA, structural analysis QA, fluid flow analysis QA, real-valued variables QA, beyond QA

    Muramatsu, M.

    [International presentation]  OPPORTUNITIES AND CHALLENGES OF QUANTUM COMPUTING IN COMPUTATIONAL MECHANICS, 

    2025.05
    , 

    Oral presentation (invited, special)

  • Coupled Model for Analysis of Shape Memory Alloy

    Muramatsu, M., Landis, C.

    [International presentation]  Computational Modeling of Complex Materials Across the Scales (CMCS 2025) 3-2, 

    2025.05
    , 

    Oral presentation (invited, special)

display all >>

Page Top ▲

Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 粘り強い高効率SOFC実現のための強弾性-破壊連成モデルの開発と検証

    2022.04
    -
    2026.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, 基盤研究(B), Principal investigator

  • ミクロ・メゾダイナミクス相互連成による強弾性構成モデルの開発とSOFCへの展開

    2019.04
    -
    2021.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Early-Career Scientists , Principal investigator

Page Top ▲

Intellectual Property Rights, etc. 【 Display / hide 】

  • 予測装置，予測方法及び予測プログラム

    Date applied： 特願2025-093108  2025.06 

    Patent, Joint

  • 設計支援装置，設計支援方法及びプログラム

    Date applied： 特願2025-073628  2025.04 

    Patent, Joint

  • 計画装置，計画方法及びプログラム

    Date applied： 特願2022-054991  2022 

    Patent, Joint

  • 欠陥推定装置，欠陥推定方法及びプログラム

    Date applied： 特願2022-017689  2022 

    Patent, Joint

Page Top ▲

Awards 【 Display / hide 】

  • J. Tinsley Oden Faculty Fellowship Award

    2025.06, University of Texas at Austin

    Type of Award： Other

  • 2022 APACM Young Investigators Award

    2022.04, Asian Pacific Association for Computational Mechanics

    Type of Award： Award from international society, conference, symposium, etc.

  • 令和4年文部科学大臣表彰 若手科学者賞

    2022.04, Ministry of Education, Culture, Sports, Science and Technology

    Type of Award： Other

  • 第27回日本計算工学講演会優秀講演表彰

    2021.05, 日本計算工学会

    Type of Award： Award from Japanese society, conference, symposium, etc.

  • 第25回計算工学講演会 グラフィクスアワード特別賞

    2019.05, 日本計算工学会

    Type of Award： Award from Japanese society, conference, symposium, etc.

display all >>

Page Top ▲
 

Courses Taught 【 Display / hide 】

  • INDEPENDENT STUDY ON SCIENCE FOR OPEN AND ENVIRONMENTAL SYSTEMS

    2026

  • INTRODUCTION TO MATERIALS SCIENCE

    2026

  • MECHANICAL ENGINEERING PRACTICAL RESEARCH A

    2026

  • MECHANICAL ENGINEERING SEMINAR 2

    2026

  • GRADUATE RESEARCH ON SCIENCE FOR OPEN AND ENVIRONMENTAL SYSTEMS 2

    2026

display all >>

Page Top ▲
 

Memberships in Academic Societies 【 Display / hide 】

  • (一社) 日本塑性加工学会 正員, 

    2015.11
    -
    Present

  • SOFC研究会 会員, 

    2014.10
    -
    Present

  • (特非) 非線形CAE協会 社員, 

    2013.04
    -
    Present

  • (公社) 日本材料学会 正員, 

    2012.04
    -
    Present

  • (一社) 日本鉄鋼協会 正員, 

    2011.04
    -
    Present

display all >>

Page Top ▲

Committee Experiences 【 Display / hide 】

  • 2026.04
    -
    Present

    Associate Editor, Quantum Computing and Engineering Applications

  • 2026.04
    -
    Present

    Member, International Exchange Committee, JSCES

  • 2025.09
    -
    Present

    AQMCSE 2027 Chair

  • 2025.05
    -
    Present

    Associate Editor, Archive of Applied Mechanics

  • 2023.05
    -
    Present

    WCCM-ECCOMAS 2026 Young Investigators Committee, IACM

display all >>

Page Top ▲