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Resource type
Journal article(20)
Book(2)
Conference presentation(2)
Dataset(1)
Keyword
Machine learning (25)
Autonomous (3)
Process (3)
Anomalous Hall effect (2)
Ceramic (2)
Combinatorial (2)
Kesterite (2)
Thermoelectric (2)
ab initio (2)
Active learning (1)
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Creative Commons BY Attribution 4.0 International (12)
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cc-by-3.0 (1)
https://creativecommons.org/licenses/by/3.0/ (1)
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application/pdf (20)
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application/zip (1)
Keyword: Machine learning
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25 records found.
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
Dataset
Creator
Lambard, Guillaume
(author) (
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)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Lambard, Guillaume
;
Sasaki, Taisuke
(author) (
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)
https://orcid.org/0000-0002-5952-7638
NIMS Researchers Directory SAMURAI
Sasaki, Taisuke
;
Sodeyama, Keitaro
(author) (
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)
https://orcid.org/0000-0002-9228-0729
NIMS Researchers Directory SAMURAI
Sodeyama, Keitaro
;
Ohkubo, Tadakatsu
(author) (
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)
https://orcid.org/0000-0003-3548-1951
NIMS Researchers Directory SAMURAI
Ohkubo, Tadakatsu
;
Hono, Kazuhiro
(author) (
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)
https://orcid.org/0000-0001-7367-0193
NIMS Researchers Directory SAMURAI
Hono, Kazuhiro
Keyword
Maximum energy product
,
Coercivity
,
Squareness
,
Machine learning
,
Remanence
,
Process
,
Bayesian Optimization
,
Hot extrusion
,
Active learning
,
Nd-Fe-B magnet
Date published
2021-10-11
Updated at
2022-10-03 02:01:08 +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
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
Journal article
Creator
Izumi Takahara
(author) (
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)
Izumi Takahara
;
Fumihiko Uesugi
(author) (
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)
https://orcid.org/0000-0003-3346-4218
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Fumihiko Uesugi
;
Koji Kimoto
(author) (
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)
https://orcid.org/0000-0002-3927-0492
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Koji Kimoto
;
Kiyou Shibata
(author) (
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)
Kiyou Shibata
;
Teruyasu Mizoguchi
(author) (
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)
Teruyasu Mizoguchi
Keyword
Machine learning
,
ELNES
,
XANES
,
PDOS
Date published
2024-08-15
Updated at
2024-10-02 12:30:19 +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
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
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
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
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
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
(25)
Autonomous
(3)
Process
(3)
Anomalous Hall effect
(2)
Ceramic
(2)
Combinatorial
(2)
Kesterite
(2)
Thermoelectric
(2)
ab initio
(2)
Active learning
(1)
Automated synthesis
(1)
Bayesian Optimization
(1)
Bayesian optimization
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Coercivity
(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)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Half metal
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-throughput
(1)
Hot extrusion
(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)
Maximum energy product
(1)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnet
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Performance pridiction
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Remanence
(1)
Retention time prediction
(1)
Squareness
(1)
Structural Materials
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Synthesis
(1)
XANES
(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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