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Journal article(24)
Conference presentation(4)
Conference poster(1)
Keyword
Machine learning (29)
Bayesian optimization (2)
Crystal structure (2)
Ising machine (2)
AI-Driven Glass Design (1)
Alloys (1)
Anomalous Hall effect (1)
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Bayesian spectral deconvolution (1)
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Creative Commons BY Attribution 4.0 International (16)
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Keyword: Machine learning
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29 records found. Displaying records 1 to 10.
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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
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
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
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
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
Conference presentation
Creator
Chiaki Yoshikawa
(author) (
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)
https://orcid.org/0000-0002-6589-387X
Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Chiaki Yoshikawa
;
Hiroshi Mamitsuka
(author) (
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)
Hiroshi Mamitsuka
Keyword
Machine learning
,
Multicellular dynamics
,
Concentrated polymer brush
,
Cellulose nanofiber
Date published
Updated at
2025-11-06 12:30:42 +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
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
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
Journal article
Creator
Han Chen
(author) (
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)
Han Chen
;
Daisuke Egusa
(author) (
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)
Daisuke Egusa
;
Zehao Li
(author) (
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)
National Institute for Materials Science
Zehao Li
;
Taisuke Sasaki
(author) (
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)
https://orcid.org/0000-0002-5952-7638
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Taisuke Sasaki
;
Ryosuke Ozasa
(author) (
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)
Ryosuke Ozasa
;
Takuya Ishimoto
(author) (
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)
Takuya Ishimoto
;
Masayuki Okugawa
(author) (
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)
Masayuki Okugawa
;
Yuichiro Koizumi
(author) (
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)
Yuichiro Koizumi
;
Takayoshi Nakano
(author) (
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)
Takayoshi Nakano
;
Eiji Abe
(author) (
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)
Eiji Abe
Keyword
High-entropy alloy
,
Laser powder bed fusion
,
Cellular structure
,
Phase separation
,
Dislocation-network
,
Electron microscopy
,
Machine learning
Date published
2025-03-12
Updated at
2025-04-08 13:16:16 +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
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)
Bayesian optimization
(2)
Crystal structure
(2)
Ising machine
(2)
AI-Driven Glass Design
(1)
Alloys
(1)
Anomalous Hall effect
(1)
Automated synthesis
(1)
Autonomous
(1)
Bayesian spectral deconvolution
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Ceramic
(1)
Combinatorial
(1)
Concentrated polymer brush
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
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(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Elements
(1)
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(1)
Europium
(1)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Graphical user interface
(1)
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(1)
Hard magnetic materials
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-entropy alloy
(1)
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(1)
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(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Kesterite
(1)
Laser powder bed fusion
(1)
Local structure
(1)
MSS
(1)
Magnetic recodring
(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Martensitic steel
(1)
Materials
(1)
Materials Informatics
(1)
Materials discovery
(1)
Micromagnetic simulations
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
PDOS
(1)
Phase separation
(1)
Phosphor
(1)
Polypropylene
(1)
Process
(1)
Process optimization
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
SmFe12-based alloys
(1)
Statistical analysis
(1)
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(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
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(1)
Thermoelectric
(1)
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(1)
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(1)
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(1)
ab initio
(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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Journal article(24)
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Machine learning (29)
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