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Journal article(19)
Book(1)
Conference presentation(1)
Keyword
Machine learning (21)
Autonomous (4)
Anomalous Hall effect (2)
Bayesian optimization (2)
Combinatorial (2)
Ising machine (2)
ab initio (2)
Automated synthesis (1)
Bayesian spectral deconvolution (1)
Cellulose nanofiber (1)
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Creative Commons BY Attribution 4.0 International (14)
In Copyright (3)
cc-by-3.0 (1)
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application/pdf (21)
File type: application/pdf
Keyword: Machine learning
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21 records found. Displaying records 1 to 10.
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Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
Journal article
Creator
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Hwang Jaekyun
(author) (
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)
https://orcid.org/0000-0002-1792-0044
(unauthenticated)
Hwang Jaekyun
;
Yuya Sakuraba
(author) (
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)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
;
Masato Kotsugi
(author) (
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)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
Masato Kotsugi
;
Yasuhiko Igarashi
(author) (
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)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
Yasuhiko Igarashi
Keyword
autonomous materials search
,
ab-initio
,
Machine learning
Date published
2022-12-31
Updated at
2024-01-05 22:14:05 +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
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
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
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
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
Journal article
Creator
Ryo Tamura
(author) (
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)
https://orcid.org/0000-0002-0349-358X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Kenji Nagata
(author) (
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)
Kenji Nagata
;
Keitaro Sodeyama
(author) (
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)
Keitaro Sodeyama
;
Kensaku Nakamura
(author) (
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)
Kensaku Nakamura
;
Toshiki Tokuhira
(author) (
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)
Toshiki Tokuhira
;
Satoshi Shibata
(author) (
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)
Satoshi Shibata
;
Kazuki Hammura
(author) (
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)
Kazuki Hammura
;
Hiroki Sugisawa
(author) (
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)
Hiroki Sugisawa
;
Masaya Kawamura
(author) (
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)
Masaya Kawamura
;
Teruki Tsurimoto
(author) (
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)
Teruki Tsurimoto
;
Masanobu Naito
(author) (
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)
Masanobu Naito
;
Masahiko Demura
(author) (
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)
https://orcid.org/0000-0002-7308-3041
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masahiko Demura
;
Takashi Nakanishi
(author) (
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)
https://orcid.org/0000-0002-8744-782X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takashi Nakanishi
Keyword
Polypropylene
,
X-ray diffraction
,
Bayesian spectral deconvolution
,
Ising machine
,
Machine learning
Date published
2024-12-31
Updated at
2024-08-30 16:31:01 +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
Machine Learning-Based Experimental Design in Materials Science
Book
Creator
Tsuda, Koji
(author) (
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)
https://orcid.org/0000-0002-4288-1606
NIMS Researchers Directory SAMURAI
Tsuda, Koji
;
Dieb, Thaer M.
(author) (
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)
https://orcid.org/0000-0002-8111-2009
NIMS Researchers Directory SAMURAI
Dieb, Thaer M.
Keyword
Materials design
,
Machine learning
,
Optimal experiment design
Date published
2018-01-16
Updated at
2022-10-03 01:58:06 +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
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
Keyword
Machine learning
(21)
Autonomous
(4)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Combinatorial
(2)
Ising machine
(2)
ab initio
(2)
Automated synthesis
(1)
Bayesian spectral deconvolution
(1)
Cellulose nanofiber
(1)
Concentrated polymer brush
(1)
Critical temperature
(1)
Crystal structure
(1)
Curie temperature
(1)
Domain knowledge integration
(1)
ELNES
(1)
Elements
(1)
Embolic agent
(1)
Fragment descriptor
(1)
GaN
(1)
Gradient-based optimization
(1)
Graphical user interface
(1)
Half metal
(1)
High-throughput
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
MSS
(1)
Martensitic steel
(1)
Materials
(1)
Materials design
(1)
Materials discovery
(1)
Multicellular dynamics
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Polypropylene
(1)
Process optimization
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
SPring-8
(1)
Statistical analysis
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
User-friendly
(1)
X-ray diffraction
(1)
XANES
(1)
ab-initio
(1)
active learning
(1)
adhesive
(1)
autonomous materials search
(1)
hap (shapley additive explanations)
(1)
nanoXRD
(1)
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Collection
Resource type
Journal article(19)
Book(1)
Conference presentation(1)
Keyword
Machine learning (21)
Autonomous (4)
Anomalous Hall effect (2)
Bayesian optimization (2)
Combinatorial (2)
Ising machine (2)
ab initio (2)
Automated synthesis (1)
Bayesian spectral deconvolution (1)
Cellulose nanofiber (1)
(more)
License
Creative Commons BY Attribution 4.0 International (14)
In Copyright (3)
cc-by-3.0 (1)
https://creativecommons.org/licenses/by/3.0/ (1)
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