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キーワード: Machine learning
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26 件のレコードが見つかりました。
全ての絞り込みを解除
Machine Learning Assisted Optimization of SmFe12-based Alloys
会議発表ポスター
著者
BOLYACHKIN Anton
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science International Center for Young Scientists
NIMS Researchers Directory SAMURAI
BOLYACHKIN Anton
;
SUBAGJA Toni
(author) (
この著者で検索
)
https://orcid.org/0009-0003-8810-8808
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
NIMS Researchers Directory SAMURAI
SUBAGJA Toni
;
LI Jiangnan
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
LI Jiangnan
;
ZHANG Jiasheng
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ZHANG Jiasheng
;
ASHOK KRISHNASWAMY Srinithi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6209-3837
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ASHOK KRISHNASWAMY Srinithi
;
ABE Taichi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5065-0939
National Institute for Materials Science Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group
NIMS Researchers Directory SAMURAI
ABE Taichi
;
TANG Xin
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6762-6145
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
NIMS Researchers Directory SAMURAI
TANG Xin
;
TOZMAN KARANIKOLAS Pelin
(author) (
この著者で検索
)
National Institute for Materials Science Global Networking Division/International Center for Young Scientists
TOZMAN KARANIKOLAS Pelin
;
KULESH Nikita
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7046-2671
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
NIMS Researchers Directory SAMURAI
KULESH Nikita
;
SEPEHRI AMIN Hossein
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
NIMS Researchers Directory SAMURAI
SEPEHRI AMIN Hossein
;
OHKUBO Tadakatsu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3548-1951
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
NIMS Researchers Directory SAMURAI
OHKUBO Tadakatsu
;
HONO Kazuhiro
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7367-0193
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
HONO Kazuhiro
キーワード
Machine learning
,
Hard magnetic materials
,
SmFe12-based alloys
刊行年月日
更新時刻
2024-10-17 08:30:37 +0900
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
ジャーナル論文
著者
Sitanan Sartyoungkul
(author) (
この著者で検索
)
Sitanan Sartyoungkul
;
Balasubramaniyan Sakthivel
(author) (
この著者で検索
)
Balasubramaniyan Sakthivel
;
Pavel Sidorov
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
Pavel Sidorov
;
Yuuya Nagata
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
Yuuya Nagata
キーワード
Automated synthesis
,
Fragment descriptor
,
Machine learning
,
Retention time prediction
,
Supercritical fluid chromatography
刊行年月日
2025-11-26
更新時刻
2025-12-24 15:05:55 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
ジャーナル論文
著者
Akihiro Nishiguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3160-6385
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Akihiro Nishiguchi
;
Miho Ohta
(author) (
この著者で検索
)
Miho Ohta
;
Debabrata Palai
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1192-6143
National Institute for Materials Science
Debabrata Palai
;
Shima Ito
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3233-617X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shima Ito
;
Kensaku Mori
(author) (
この著者で検索
)
Kensaku Mori
;
Ryotaro Akagi
(author) (
この著者で検索
)
Ryotaro Akagi
;
Christophe Bajan
(author) (
この著者で検索
)
https://orcid.org/0009-0008-1433-9618
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
Guillaume Lambard
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Guillaume Lambard
;
Keitaro Sodeyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9228-0729
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Keitaro Sodeyama
;
Tetsushi Taguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2541-2530
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tetsushi Taguchi
キーワード
Hydrogel
,
Embolic agent
,
Machine learning
刊行年月日
2024-11-07
更新時刻
2025-02-26 16:30:29 +0900
Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
ジャーナル論文
著者
Zhendong Wu
(author) (
この著者で検索
)
Zhendong Wu
;
Yusuke Hayashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5672-1497
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yusuke Hayashi
;
Tetsuya Tohei
(author) (
この著者で検索
)
Tetsuya Tohei
;
Kazushi Sumitani
(author) (
この著者で検索
)
Kazushi Sumitani
;
Yasuhiko Imai
(author) (
この著者で検索
)
Yasuhiko Imai
;
Shigeru Kimura
(author) (
この著者で検索
)
Shigeru Kimura
;
Akira Sakai
(author) (
この著者で検索
)
Akira Sakai
キーワード
GaN
,
SPring-8
,
nanoXRD
,
Machine learning
刊行年月日
2025-08-01
更新時刻
2025-07-31 12:30:18 +0900
Exploring new useful phosphors by combining experiments with machine learning
ジャーナル論文
著者
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
NIMS Researchers Directory SAMURAI
Takashi Takeda
;
Yukinori Koyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7090-4430
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Hidekazu Ikeno
(author) (
この著者で検索
)
Hidekazu Ikeno
;
Satoru Matsuishi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8905-0255
NIMS Researchers Directory SAMURAI
Satoru Matsuishi
;
Naoto Hirosaki
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9218-9557
NIMS Researchers Directory SAMURAI
Naoto Hirosaki
キーワード
Phosphor
,
High-throughput experiment
,
Machine learning
,
Local structure
,
Europium
刊行年月日
2024-12-31
更新時刻
2024-12-05 16:30:28 +0900
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
ジャーナル論文
著者
Quentin Bizot
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4314-2266
(unauthenticated)
Quentin Bizot
;
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Guillaume Deffrennes
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
Guillaume Deffrennes
キーワード
CALPHAD
,
Machine learning
刊行年月日
2026-02-07
更新時刻
2026-04-01 13:44:57 +0900
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
ジャーナル論文
著者
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Kenji Nagata
(author) (
この著者で検索
)
Kenji Nagata
;
Keitaro Sodeyama
(author) (
この著者で検索
)
Keitaro Sodeyama
;
Kensaku Nakamura
(author) (
この著者で検索
)
Kensaku Nakamura
;
Toshiki Tokuhira
(author) (
この著者で検索
)
Toshiki Tokuhira
;
Satoshi Shibata
(author) (
この著者で検索
)
Satoshi Shibata
;
Kazuki Hammura
(author) (
この著者で検索
)
Kazuki Hammura
;
Hiroki Sugisawa
(author) (
この著者で検索
)
Hiroki Sugisawa
;
Masaya Kawamura
(author) (
この著者で検索
)
Masaya Kawamura
;
Teruki Tsurimoto
(author) (
この著者で検索
)
Teruki Tsurimoto
;
Masanobu Naito
(author) (
この著者で検索
)
Masanobu Naito
;
Masahiko Demura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7308-3041
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masahiko Demura
;
Takashi Nakanishi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8744-782X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takashi Nakanishi
キーワード
Polypropylene
,
X-ray diffraction
,
Bayesian spectral deconvolution
,
Ising machine
,
Machine learning
刊行年月日
2024-12-31
更新時刻
2024-08-30 16:31:01 +0900
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
ジャーナル論文
著者
Houichi Kitano
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0778-574X
NIMS Researchers Directory SAMURAI
Houichi Kitano
;
Yuuji Kimura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8907-0704
NIMS Researchers Directory SAMURAI
Yuuji Kimura
;
Akinobu Shibata
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8577-6411
NIMS Researchers Directory SAMURAI
Akinobu Shibata
キーワード
Hydrogen embrittlement
,
Martensitic steel
,
Machine learning
,
hap (shapley additive explanations)
,
Symbolic regression
刊行年月日
2026-04-23
更新時刻
2026-06-17 09:57:29 +0900
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge
via
adaptive constraints
ジャーナル論文
著者
Akihiro Fujii
(author) (
この著者で検索
)
Akihiro Fujii
;
Anh Khoa Augustin Lu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4702-0933
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Anh Khoa Augustin Lu
;
Koji Shimizu
(author) (
この著者で検索
)
Koji Shimizu
;
Satoshi Watanabe
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
Satoshi Watanabe
キーワード
Gradient-based optimization
,
Superconductor
,
Domain knowledge integration
,
Materials discovery
,
Critical temperature
,
Machine learning
刊行年月日
2025-10-29
更新時刻
2026-05-18 14:53:14 +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
ジャーナル論文
著者
Cédric Bourgès
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9056-0420
National Institute for Materials Science
Cédric Bourgès
;
Guillaume Lambard
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Guillaume Lambard
;
Naoki Sato
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6429-0591
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Naoki Sato
;
Makoto Tachibana
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5907-5563
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Makoto Tachibana
;
Satoshi Ishii
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0731-8428
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Satoshi Ishii
;
Takao Mori
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2682-1846
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takao Mori
キーワード
Kesterite
,
Machine learning
,
Process
,
Thermoelectric
,
Ceramic
刊行年月日
2024-08-29
更新時刻
2024-09-20 16:30:30 +0900
キーワード
Machine learning
(26)
Process
(3)
Bayesian optimization
(2)
Ceramic
(2)
Ising machine
(2)
Kesterite
(2)
Thermoelectric
(2)
AI-Driven Glass Design
(1)
Active learning
(1)
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(1)
Autonomous
(1)
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(1)
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(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Coercivity
(1)
Concentrated polymer brush
(1)
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(1)
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(1)
Deep learning
(1)
Dislocation-network
(1)
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(1)
Electron microscopy
(1)
Elements
(1)
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(1)
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(1)
FePt
(1)
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(1)
GaN
(1)
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(1)
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(1)
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(1)
Hard magnetic materials
(1)
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(1)
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(1)
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(1)
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(1)
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(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
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(1)
Local structure
(1)
MSS
(1)
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(1)
Magnetocaloric materials
(1)
Martensitic steel
(1)
Materials
(1)
Materials discovery
(1)
Maximum energy product
(1)
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(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnet
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
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(1)
Phosphor
(1)
Polypropylene
(1)
Process optimization
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Remanence
(1)
Retention time prediction
(1)
SPring-8
(1)
SmFe12-based alloys
(1)
Squareness
(1)
Statistical analysis
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
User-friendly
(1)
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(1)
ab initio
(1)
active learning
(1)
adhesive
(1)
hap (shapley additive explanations)
(1)
nanoXRD
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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ジャーナル論文(20)
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Machine learning (26)
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(more)
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