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Journal article(26)
Conference presentation(3)
Book(2)
Report(1)
Keyword
Machine learning (32)
Autonomous (3)
Anomalous Hall effect (2)
Ceramic (2)
Combinatorial (2)
Ising machine (2)
Kesterite (2)
Process (2)
Thermoelectric (2)
ab initio (2)
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Keyword: Machine learning
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32 records found.
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-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
自律材料探索による磁性材料開発
Journal article
Creator
岩崎 悠真
(author) (
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)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
岩崎 悠真
Keyword
Machine learning
,
Materials Informatics
Date published
2025-06-10
Updated at
2025-12-12 08:30:25 +0900
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
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
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
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
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) (
Search by this author
)
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
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
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
Keyword
Machine learning
(32)
Autonomous
(3)
Anomalous Hall effect
(2)
Ceramic
(2)
Combinatorial
(2)
Ising machine
(2)
Kesterite
(2)
Process
(2)
Thermoelectric
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Automated synthesis
(1)
Bayesian optimization
(1)
Bayesian spectral deconvolution
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Creep
(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)
Europium
(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)
High-throughput experiment
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Local structure
(1)
Lung cancer
(1)
MSS
(1)
Magnetic recodring
(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Martensitic steel
(1)
Materials
(1)
Materials Informatics
(1)
Materials design
(1)
Materials discovery
(1)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Performance pridiction
(1)
Phosphor
(1)
Polypropylene
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
Structural Materials
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
X-ray diffraction
(1)
XANES
(1)
ab-initio
(1)
active learning
(1)
adhesive
(1)
autonomous materials search
(1)
hap (shapley additive explanations)
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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RDE invoice schema
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