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Journal article(29)
Book(2)
Conference presentation(2)
Report(1)
Keyword
Machine learning (34)
Autonomous (4)
Anomalous Hall effect (2)
Bayesian optimization (2)
Combinatorial (2)
Crystal structure (2)
Ising machine (2)
ab initio (2)
AI-Driven Glass Design (1)
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Creative Commons BY Attribution 4.0 International (22)
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File type: application/pdf
Keyword: Machine learning
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34 records found.
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
Journal article
Creator
Houichi Kitano
(author) (
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)
https://orcid.org/0000-0002-0778-574X
NIMS Researchers Directory SAMURAI
Houichi Kitano
;
Yuuji Kimura
(author) (
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)
https://orcid.org/0000-0002-8907-0704
NIMS Researchers Directory SAMURAI
Yuuji Kimura
;
Akinobu Shibata
(author) (
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)
https://orcid.org/0000-0001-8577-6411
NIMS Researchers Directory SAMURAI
Akinobu Shibata
Keyword
Hydrogen embrittlement
,
Martensitic steel
,
Machine learning
,
hap (shapley additive explanations)
,
Symbolic regression
Date published
2026-04-23
Updated at
2026-06-17 09:57:29 +0900
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge
via
adaptive constraints
Journal article
Creator
Akihiro Fujii
(author) (
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)
Akihiro Fujii
;
Anh Khoa Augustin Lu
(author) (
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)
https://orcid.org/0000-0003-4702-0933
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Anh Khoa Augustin Lu
;
Koji Shimizu
(author) (
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)
Koji Shimizu
;
Satoshi Watanabe
(author) (
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)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
Satoshi Watanabe
Keyword
Gradient-based optimization
,
Superconductor
,
Domain knowledge integration
,
Materials discovery
,
Critical temperature
,
Machine learning
Date published
2025-10-29
Updated at
2026-05-18 14:53:14 +0900
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
Journal article
Creator
Quentin Bizot
(author) (
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)
https://orcid.org/0000-0002-4314-2266
(unauthenticated)
Quentin Bizot
;
Ryo Tamura
(author) (
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)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Guillaume Deffrennes
(author) (
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)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
Guillaume Deffrennes
Keyword
CALPHAD
,
Machine learning
Date published
2026-02-07
Updated at
2026-04-01 13:44:57 +0900
機械学習を用いた耐熱鋼のクリープ寿命予測
Book
Creator
出村 雅彦
(author) (
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)
https://orcid.org/0000-0002-7308-3041
技術開発・共用部門, 物質・材料研究機構
NIMS Researchers Directory SAMURAI
出村 雅彦
Keyword
Machine learning
,
Structural Materials
,
Performance pridiction
,
Creep
Date published
2025-05-30
Updated at
2026-01-07 09:42:32 +0900
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
Journal article
Creator
Ryo Toyama
(author) (
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)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Prabhanjan D. Kulkarni
(author) (
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)
https://orcid.org/0000-0002-4605-5256
Prabhanjan D. Kulkarni
;
Hirofumi Suto
(author) (
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)
https://orcid.org/0000-0003-4387-5862
NIMS Researchers Directory SAMURAI
Hirofumi Suto
;
Tomoya Nakatani
(author) (
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)
https://orcid.org/0000-0001-9590-216X
NIMS Researchers Directory SAMURAI
Tomoya Nakatani
;
Yuya Sakuraba
(author) (
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)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
Keyword
Machine learning
,
High-throughput
,
Combinatorial
,
Anomalous Hall effect
Date published
2025-09-03
Updated at
2025-12-26 13:11:05 +0900
Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect
Journal article
Creator
Ryo Toyama
(author) (
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)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Ryo Tamura
(author) (
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)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Shoichi Matsuda
(author) (
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)
https://orcid.org/0000-0002-0640-3404
NIMS Researchers Directory SAMURAI
Shoichi Matsuda
;
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Yuya Sakuraba
(author) (
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)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
Keyword
Machine learning
,
Autonomous
,
Combinatorial
,
Anomalous Hall effect
Date published
2025-11-19
Updated at
2025-12-25 17:32:06 +0900
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
Journal article
Creator
Sitanan Sartyoungkul
(author) (
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)
Sitanan Sartyoungkul
;
Balasubramaniyan Sakthivel
(author) (
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)
Balasubramaniyan Sakthivel
;
Pavel Sidorov
(author) (
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)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
Pavel Sidorov
;
Yuuya Nagata
(author) (
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)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
Yuuya Nagata
Keyword
Automated synthesis
,
Fragment descriptor
,
Machine learning
,
Retention time prediction
,
Supercritical fluid chromatography
Date published
2025-11-26
Updated at
2025-12-24 15:05:55 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
Journal article
Creator
Guohai Chen
(author) (
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)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
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)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
Keyword
Carbon Nanotubes
,
Synthesis
,
Properties
,
Machine learning
Date published
2025-10-20
Updated at
2025-12-13 08:30:03 +0900
Autonomous materials search using machine learning and ab initio calculations for L1
0
-FePt-based quaternary alloys
Journal article
Creator
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Daisuke Ogawa
(author) (
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)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
Masato Kotsugi
(author) (
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)
Masato Kotsugi
;
Yukiko K. Takahashi
(author) (
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)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukiko K. Takahashi
Keyword
Machine learning
,
Autonomous
Date published
2025-12-31
Updated at
2025-12-25 15:02:29 +0900
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
Conference presentation
Creator
Chiaki Yoshikawa
(author) (
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)
https://orcid.org/0000-0002-6589-387X
Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Chiaki Yoshikawa
;
Hiroshi Mamitsuka
(author) (
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)
Hiroshi Mamitsuka
Keyword
Machine learning
,
Multicellular dynamics
,
Concentrated polymer brush
,
Cellulose nanofiber
Date published
Updated at
2025-11-06 12:30:42 +0900
Keyword
Machine learning
(34)
Autonomous
(4)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Combinatorial
(2)
Crystal structure
(2)
Ising machine
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Alloys
(1)
Automated synthesis
(1)
Bayesian spectral deconvolution
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Ceramic
(1)
Concentrated polymer brush
(1)
Creep
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Elements
(1)
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(1)
Europium
(1)
FePt
(1)
Fragment descriptor
(1)
GaN
(1)
Gradient-based optimization
(1)
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(1)
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(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-entropy alloy
(1)
High-throughput
(1)
High-throughput experiment
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Kesterite
(1)
Laser powder bed fusion
(1)
Local structure
(1)
MSS
(1)
Martensitic steel
(1)
Materials
(1)
Materials design
(1)
Materials discovery
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Performance pridiction
(1)
Phase separation
(1)
Phosphor
(1)
Polypropylene
(1)
Process
(1)
Process optimization
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
SPring-8
(1)
Statistical analysis
(1)
Structural Materials
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
Thermoelectric
(1)
User-friendly
(1)
X-ray diffraction
(1)
XANES
(1)
ab-initio
(1)
active learning
(1)
adhesive
(1)
autonomous materials search
(1)
data bias
(1)
hap (shapley additive explanations)
(1)
large-scale material data
(1)
material informatics
(1)
nanoXRD
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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