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Resource type
Journal article(23)
Conference presentation(3)
Book(1)
Conference poster(1)
Report(1)
Keyword
Machine learning (29)
Autonomous (3)
Anomalous Hall effect (2)
Bayesian optimization (2)
Ceramic (2)
Combinatorial (2)
Kesterite (2)
Process (2)
Thermoelectric (2)
ab initio (2)
(more)
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Creative Commons BY Attribution 4.0 International (14)
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https://creativecommons.org/licenses/by/3.0/ (1)
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Keyword: Machine learning
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29 records found.
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
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
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
Automated odor-blending with one-pot Bayesian optimization
Journal article
Creator
Yota Fukui
(author) (
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)
Yota Fukui
;
Kosuke Minami
(author) (
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)
https://orcid.org/0000-0003-4145-1118
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kosuke Minami
;
Kota Shiba
(author) (
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)
https://orcid.org/0000-0001-7775-0318
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kota Shiba
;
Genki Yoshikawa
(author) (
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)
https://orcid.org/0000-0002-9136-8964
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Genki Yoshikawa
;
Koji Tsuda
(author) (
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)
https://orcid.org/0000-0002-4288-1606
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Koji Tsuda
;
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
Keyword
Machine learning
,
MSS
,
Bayesian optimization
,
Olfactory sensor
Date published
2024-04-16
Updated at
2024-06-10 12:30:19 +0900
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
Journal article
Creator
Christophe Bajan
(author) (
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)
https://orcid.org/0009-0008-1433-9618
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
Guillaume Lambard
(author) (
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)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Guillaume Lambard
Keyword
Graphical user interface
,
Statistical analysis
,
Machine learning
,
Bayesian optimization
,
Process optimization
,
User-friendly
Date published
2025-01-21
Updated at
2025-01-27 12:30:30 +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
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
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
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Journal article
Creator
Lambard, Guillaume
(author) (
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)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Lambard, Guillaume
;
Naito, Masanobu
(author) (
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)
https://orcid.org/0000-0001-7198-819X
NIMS Researchers Directory SAMURAI
Naito, Masanobu
;
Samitsu, Sadaki
(author) (
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)
https://orcid.org/0000-0002-4139-1656
NIMS Researchers Directory SAMURAI
Samitsu, Sadaki
;
Pruksawan, Sirawit
(author) (
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)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
Pruksawan, Sirawit
;
Sodeyama, Keitaro
(author) (
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)
https://orcid.org/0000-0002-9228-0729
NIMS Researchers Directory SAMURAI
Sodeyama, Keitaro
Keyword
active learning
,
Machine learning
,
adhesive
Date published
2019-12-31
Updated at
2024-01-05 22:11:50 +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
Keyword
Machine learning
(29)
Autonomous
(3)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Ceramic
(2)
Combinatorial
(2)
Kesterite
(2)
Process
(2)
Thermoelectric
(2)
ab initio
(2)
Automated synthesis
(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)
Gradient-based optimization
(1)
Graphical user interface
(1)
Half metal
(1)
Hard magnetic materials
(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 Informatics
(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)
Process optimization
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
SmFe12-based alloys
(1)
Statistical analysis
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Synthesis
(1)
User-friendly
(1)
XANES
(1)
active learning
(1)
adhesive
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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