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Journal article(22)
Conference presentation(4)
Book(1)
Report(1)
Keyword
Machine learning (28)
Autonomous (3)
Anomalous Hall effect (2)
Ceramic (2)
Combinatorial (2)
Kesterite (2)
Process (2)
Thermoelectric (2)
ab initio (2)
AI-Driven Glass Design (1)
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Keyword: Machine learning
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28 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
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
Conference presentation
Creator
Cédric Bourgès
(author) (
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)
https://orcid.org/0000-0001-9056-0420
International Center for Young Scientists, National Institute for Materials Science
Cédric Bourgès
;
Guillaume Lambard
(author) (
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)
https://orcid.org/0000-0003-0275-4079
Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group, 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
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, 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
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, 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
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, 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
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takao Mori
Keyword
Kesterite
,
Machine learning
,
Process
,
Thermoelectric
,
Ceramic
Date published
Updated at
2024-10-30 16:30:23 +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
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
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
Journal article
Creator
Jianbo Lin
(author) (
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)
Jianbo Lin
;
Tomofumi Tada
(author) (
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)
https://orcid.org/0000-0003-3093-3779
(unauthenticated)
Tomofumi Tada
;
Ai Koizumi
(author) (
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)
Ai Koizumi
;
Masato Sumita
(author) (
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)
https://orcid.org/0000-0002-3506-1028
(unauthenticated)
Masato Sumita
;
Koji Tsuda
(author) (
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)
https://orcid.org/0000-0002-4288-1606
NIMS Researchers Directory SAMURAI
Koji Tsuda
;
Ryo Tamura
(author) (
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)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
Keyword
Machine learning
,
Ising machine
,
Proton configuration
Date published
2025-02-06
Updated at
2025-05-23 08:30:18 +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
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
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
From Random Networks to AI-Driven Glass Design
Conference presentation
Creator
N. M. Anoop Krishnan
(author) (
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)
Department of Civil Engineering, Indian Institute of Technology Delhi
N. M. Anoop Krishnan
Keyword
Machine learning
,
AI-Driven Glass Design
Date published
Updated at
2025-09-25 16:30:42 +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
Keyword
Machine learning
(28)
Autonomous
(3)
Anomalous Hall effect
(2)
Ceramic
(2)
Combinatorial
(2)
Kesterite
(2)
Process
(2)
Thermoelectric
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Automated synthesis
(1)
Bayesian optimization
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellulose nanofiber
(1)
Concentrated polymer brush
(1)
Critical temperature
(1)
Crystal structure
(1)
Curie temperature
(1)
Deep learning
(1)
Domain knowledge integration
(1)
ELNES
(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)
Heat-assisted magnetic recording (HAMR)
(1)
High-throughput
(1)
Hydrogel
(1)
Image segmentation
(1)
Ising machine
(1)
Lung cancer
(1)
MSS
(1)
Magnetic recodring
(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Materials
(1)
Materials design
(1)
Materials discovery
(1)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
SPring-8
(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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