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Resource type
Journal article(12)
Keyword
Machine learning (12)
Anomalous Hall effect (2)
Autonomous (2)
Combinatorial (2)
Automated synthesis (1)
Critical temperature (1)
Crystal structure (1)
Deep learning (1)
Domain knowledge integration (1)
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Creative Commons BY Attribution 4.0 International (6)
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application/zip (1)
Keyword: Machine learning
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12 records found.
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
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
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
Journal article
Creator
Rintaro Minami
(author) (
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)
a Department of Applied Physics, University of Tsukuba
Rintaro Minami
;
Eiji Kita
(author) (
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)
Eiji Kita
;
Chiharu Mitsumata
(author) (
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)
Chiharu Mitsumata
;
Hideto Yanagihara
(author) (
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)
Hideto Yanagihara
Keyword
Machine learning
,
principal component analysis (PCA)
,
reactive magnetron sputtering
,
plasma emission spectrum
,
Mössbauer spectroscopy
Date published
2025-12-31
Updated at
2025-09-10 16:30:38 +0900
Elemental Reactivity Maps for Materials Discovery
Journal article
Creator
Yuki Inada
(author) (
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)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
Yuki Inada
;
Masaya Fujioka
(author) (
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)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
Masaya Fujioka
;
Haruhiko Morito
(author) (
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)
Haruhiko Morito
;
Tohru Sugahara
(author) (
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)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
Tohru Sugahara
;
Hisanori Yamane
(author) (
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)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
Hisanori Yamane
;
Yukari Katsura
(author) (
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)
https://orcid.org/0000-0002-8905-2995
NIMS Researchers Directory SAMURAI
Yukari Katsura
Keyword
Crystal structure
,
Elements
,
Machine learning
,
Materials
,
Reactivity
Date published
2025-03-25
Updated at
2026-02-21 16:30:08 +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
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
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
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
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
Journal article
Creator
E. Dengina
(author) (
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)
National Institute for Materials Science
E. Dengina
;
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
;
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
Magnetic recording
,
Micromagnetic simulations
,
Machine learning
,
FePt media
Date published
2022-05-13
Updated at
2024-10-15 16:30:13 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
Journal article
Creator
Akihiro Nishiguchi
(author) (
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)
https://orcid.org/0000-0002-3160-6385
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Akihiro Nishiguchi
;
Miho Ohta
(author) (
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)
Miho Ohta
;
Debabrata Palai
(author) (
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)
https://orcid.org/0000-0003-1192-6143
National Institute for Materials Science
Debabrata Palai
;
Shima Ito
(author) (
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)
https://orcid.org/0000-0002-3233-617X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shima Ito
;
Kensaku Mori
(author) (
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)
Kensaku Mori
;
Ryotaro Akagi
(author) (
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)
Ryotaro Akagi
;
Christophe Bajan
(author) (
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)
https://orcid.org/0009-0008-1433-9618
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
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
;
Keitaro Sodeyama
(author) (
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)
https://orcid.org/0000-0002-9228-0729
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Keitaro Sodeyama
;
Tetsushi Taguchi
(author) (
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)
https://orcid.org/0000-0003-2541-2530
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tetsushi Taguchi
Keyword
Hydrogel
,
Embolic agent
,
Machine learning
Date published
2024-11-07
Updated at
2025-02-26 16:30:29 +0900
Keyword
Machine learning
(12)
Anomalous Hall effect
(2)
Autonomous
(2)
Combinatorial
(2)
Automated synthesis
(1)
Critical temperature
(1)
Crystal structure
(1)
Deep learning
(1)
Domain knowledge integration
(1)
Elements
(1)
Embolic agent
(1)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Half metal
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-throughput
(1)
Hydrogel
(1)
Image segmentation
(1)
Ising machine
(1)
Magnetic recording
(1)
Materials
(1)
Materials discovery
(1)
Micromagnetic simulations
(1)
Mössbauer spectroscopy
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
ab initio
(1)
active learning
(1)
adhesive
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
RDE metadata def
RDE invoice schema
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