Concepedia

Author

Kazumasa Tsutsui

Nippon Steel (Japan)ORCID

Also Known As

Kazumasa TSUTSUI, Kazumasa Tsutsui, Tsutsui, K.

26

Publications

250

Citations

9

H-Index

36

Concepts

All Affiliations

Nippon Steel (Japan)Shimane UniversityKumamoto University
KT

About

Kazumasa Tsutsui is an author at Nippon Steel (Japan) specializing in engineering, microstructure, and materials science.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

8

8

212

2

Applied Physics

2

2

44

3

Health Sciences

1

1

43

4

Natural Sciences

1

1

10

5

Computer Science

1

1

19

Kazumasa Tsutsui

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8

Publications

212

Citations

8

H-Index

YearCitations

A methodology of steel microstructure recognition using SEM images by machine learning based on textural analysis

Kazumasa Tsutsui, Hidenori Terasaki, Kyohei Uto,

Materials Today Communications

2020

43

Microstructural diagram for steel based on crystallography with machine learning

Kazumasa Tsutsui, Hidenori Terasaki, Tatsuya Maemura,

Computational Materials Science

2018

37

Effect of Mo addition on hydrogen segregation at α-Fe grain boundaries: A first-principles investigation of the mechanism by which Mo addition improves hydrogen embrittlement resistance in high-strength steels

Kazuma Ito, Yuta Tanaka, Kazumasa Tsutsui,

Computational Materials Science

2022

35

Analysis of grain-boundary segregation of hydrogen in bcc-Fe polycrystals via a nano-polycrystalline grain-boundary model

Kazuma Ito, Yuta Tanaka, Kazumasa Tsutsui,

Computational Materials Science

2023

34

A computational experiment on deducing phase diagrams from spatial thermodynamic data using machine learning techniques

Kazumasa Tsutsui, Koji Moriguchi

Calphad

2021

21

Interpretability of Deep Learning Classification for Low-Carbon Steel Microstructures

Tatsuya Maemura, Hidenori Terasaki, Kazumasa Tsutsui,

MATERIALS TRANSACTIONS

2020

19

Mixing effects of SEM imaging conditions on convolutional neural network-based low-carbon steel classification

Kazumasa Tsutsui, Kazushi Matsumoto, Masaki Maeda,

Materials Today Communications

2022

13

First-principles computational tensile test of γ-Fe grain boundaries considering the effect of magnetism: Electronic origin of grain boundary embrittlement due to Zn segregation

Kazuma Ito, Yuta Tanaka, Takuya Mitsunobu,

Physical Review Materials

2022

10

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