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Journal article(24)
Conference presentation(3)
Book(2)
Conference poster(1)
Dataset(1)
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Keyword
Machine learning (32)
Autonomous (3)
Process (3)
Anomalous Hall effect (2)
Ceramic (2)
Combinatorial (2)
Kesterite (2)
Thermoelectric (2)
ab initio (2)
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Keyword: Machine learning
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32 records found.
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
Journal article
Creator
N. Kulesh
(author) (
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)
https://orcid.org/0000-0001-7046-2671
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
N. Kulesh
;
A. Bolyachkin
(author) (
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)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
A. Bolyachkin
;
I. Suzuki
(author) (
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)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
I. Suzuki
;
Y.K. Takahashi
(author) (
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)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Y.K. Takahashi
;
H. Sepehri-Amin
(author) (
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)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
H. Sepehri-Amin
;
K. Hono
(author) (
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)
https://orcid.org/0000-0001-7367-0193
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
K. Hono
Keyword
Heat-assisted magnetic recording (HAMR)
,
FePt
,
Deep learning
,
Machine learning
,
Image segmentation
Date published
2023-05-27
Updated at
2025-05-27 08:30:20 +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
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
Process optimization on kesterite-based ceramics for enhancing their thermoelectric performances assisted by active machine learning approach: A tool for metal-sulfide ceramics development
Journal article
Creator
Cédric Bourgès
(author) (
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)
https://orcid.org/0000-0001-9056-0420
National Institute for Materials Science
Cédric Bourgès
;
Guillaume Lambard
(author) (
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)
https://orcid.org/0000-0003-0275-4079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Guillaume Lambard
;
Naoki Sato
(author) (
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)
https://orcid.org/0000-0002-6429-0591
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Naoki Sato
;
Makoto Tachibana
(author) (
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)
https://orcid.org/0000-0002-5907-5563
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Makoto Tachibana
;
Satoshi Ishii
(author) (
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)
https://orcid.org/0000-0003-0731-8428
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Satoshi Ishii
;
Takao Mori
(author) (
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)
https://orcid.org/0000-0003-2682-1846
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takao Mori
Keyword
Kesterite
,
Machine learning
,
Process
,
Thermoelectric
,
Ceramic
Date published
2024-08-29
Updated at
2024-09-20 16:30:30 +0900
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
Dataset
Creator
Lambard, Guillaume
(author) (
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)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Lambard, Guillaume
;
Sasaki, Taisuke
(author) (
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)
https://orcid.org/0000-0002-5952-7638
NIMS Researchers Directory SAMURAI
Sasaki, Taisuke
;
Sodeyama, Keitaro
(author) (
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)
https://orcid.org/0000-0002-9228-0729
NIMS Researchers Directory SAMURAI
Sodeyama, Keitaro
;
Ohkubo, Tadakatsu
(author) (
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)
https://orcid.org/0000-0003-3548-1951
NIMS Researchers Directory SAMURAI
Ohkubo, Tadakatsu
;
Hono, Kazuhiro
(author) (
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)
https://orcid.org/0000-0001-7367-0193
NIMS Researchers Directory SAMURAI
Hono, Kazuhiro
Keyword
Maximum energy product
,
Coercivity
,
Squareness
,
Machine learning
,
Remanence
,
Process
,
Bayesian Optimization
,
Hot extrusion
,
Active learning
,
Nd-Fe-B magnet
Date published
2021-10-11
Updated at
2022-10-03 02:01:08 +0900
Autonomous search for materials with high Curie temperature using
ab initio
calculations and machine learning
Journal article
Creator
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
Keyword
Machine learning
,
Autonomous
,
Curie temperature
,
ab initio
Date published
2024-12-31
Updated at
2024-10-04 08:30:28 +0900
Autonomous search for half-metallic materials with
B
2 structure
Journal article
Creator
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Ryo Toyama
(author) (
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)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Takahiro Yamazaki
(author) (
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)
https://orcid.org/0000-0003-0738-9373
(unauthenticated)
Takahiro Yamazaki
;
Yasuhiko Igarashi
(author) (
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)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
Yasuhiko Igarashi
;
Masato Kotsugi
(author) (
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)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
Masato Kotsugi
;
Yuya Sakuraba
(author) (
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)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
Keyword
Machine learning
,
Autonomous
,
ab initio
,
Half metal
Date published
2024-12-31
Updated at
2024-10-04 08:30:32 +0900
Improving efficiency of autonomous material search via transfer learning from nontarget properties
Journal article
Creator
Jaekyun Hwang
(author) (
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)
National Institute for Materials Science
Jaekyun Hwang
;
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
Keyword
Machine learning
Date published
2023-12-31
Updated at
2024-01-05 22:11:31 +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
Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
Journal article
Creator
Zhendong Wu
(author) (
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)
Zhendong Wu
;
Yusuke Hayashi
(author) (
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)
https://orcid.org/0000-0001-5672-1497
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yusuke Hayashi
;
Tetsuya Tohei
(author) (
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)
Tetsuya Tohei
;
Kazushi Sumitani
(author) (
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)
Kazushi Sumitani
;
Yasuhiko Imai
(author) (
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)
Yasuhiko Imai
;
Shigeru Kimura
(author) (
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)
Shigeru Kimura
;
Akira Sakai
(author) (
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)
Akira Sakai
Keyword
GaN
,
SPring-8
,
nanoXRD
,
Machine learning
Date published
2025-08-01
Updated at
2025-07-31 12:30:18 +0900
Keyword
Machine learning
(32)
Autonomous
(3)
Process
(3)
Anomalous Hall effect
(2)
Ceramic
(2)
Combinatorial
(2)
Kesterite
(2)
Thermoelectric
(2)
ab initio
(2)
Active learning
(1)
Automated synthesis
(1)
Bayesian Optimization
(1)
Bayesian optimization
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Coercivity
(1)
Concentrated polymer brush
(1)
Creep
(1)
Critical temperature
(1)
Crystal structure
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Electronic nose (e-nose)
(1)
Elements
(1)
Embolic agent
(1)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
GaN
(1)
Gradient-based optimization
(1)
Half metal
(1)
Hard magnetic materials
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-entropy alloy
(1)
High-throughput
(1)
Hot extrusion
(1)
Hydrogel
(1)
Image segmentation
(1)
Ising machine
(1)
Laser powder bed fusion
(1)
Lung cancer
(1)
MSS
(1)
Magnetic recodring
(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Materials
(1)
Materials Informatics
(1)
Materials design
(1)
Materials discovery
(1)
Maximum energy product
(1)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnet
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Performance pridiction
(1)
Phase separation
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Remanence
(1)
Retention time prediction
(1)
SPring-8
(1)
SmFe12-based alloys
(1)
Squareness
(1)
Structural Materials
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Synthesis
(1)
XANES
(1)
active learning
(1)
adhesive
(1)
nanoXRD
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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