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Mayu Muramatsu

Keio University

SCHOLARLY PAPERS

4

DOWNLOADS

192

TOTAL CITATIONS

1

Scholarly Papers (4)

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1.

Measurement of Secondary Dendrite Arm Spacing Using Deep Learning

Downloads 124 (580,653)

Measurement of Secondary Dendrite Arm Spacing Using Deep Learning

Number of pages: 19 Posted: 19 Aug 2025
Shinya Fujiwara, Machiko Ode, Yuta Kojima and Mayu Muramatsu
Keio University, National Institute for Materials Science, Keio University and Keio University
Downloads 64 (938,792)

Abstract:

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Dendrite, Secondary Dendrite Arm Spacing, Phase-field filtering, Hybrid training data, Deep learning, YOLO

Measurement of Secondary Dendrite Arm Spacing Using Deep Learning

Number of pages: 18 Posted: 09 Dec 2025
Shinya Fujiwara, Machiko Ode, Yuta Kojima and Mayu Muramatsu
Keio University, National Institute for Materials Science, Keio University and Keio University
Downloads 60 (976,517)

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Dendrite, Secondary Dendrite Arm Spacing, Phase-field filtering, Hybrid training data, Deep learning, YOLO

2.

Secant-based Multiscale Constitutive Modeling toward Coupled Homogenized Finite Element Method and Molecular Dynamics for Polycarbonate

Number of pages: 14 Posted: 16 Mar 2026
Yuto Lewis Terashima, Paul Edward Brumby, Takahiro Murashima, Varvara Kouznetsova and Mayu Muramatsu
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Eindhoven University of Technology (TUE) - Department of Mechanical Engineering and Keio University
Downloads 35 (1,249,711)

Abstract:

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FEM, MD, Computational Homogenization, Multiscale, Polycarbonate

3.

Transfer-Learning-Aided Defect Prediction in Simply Shaped Cfrp Specimens Based on Stress Distribution Obtained from Finite Element Analysis and Infrared Stress Measurement

Number of pages: 14 Posted: 21 Mar 2024
Yuta Kojima, Kenta Hirayama, Katsuhiro Endo, Yoshihisa Harada and Mayu Muramatsu
Keio University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Keio University
Downloads 25 (1,399,036)
Citation 1

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Machine LearningNondestructive TestingFinite Element MethodCarbon-fiber-reinforced PlasticConvolutional Neural NetworkInfrared Stress Measurement

4.

Efficient Evaluation of Mechanical Properties for Two-Phase Materials Using a Direct Data-Driven Approach

Number of pages: 16 Posted: 05 Aug 2025
Misato Suzuki, Mayu Muramatsu, Stefanie Reese and Erik Prume
affiliation not provided to SSRN, Keio University, RWTH Aachen University and RWTH Aachen University
Downloads 8 (1,555,090)

Abstract:

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Computational mechanics, Data-driven, Finite Element Method, Microstructure, Solid mechanics, Two-phase materials