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ジャーナル論文(31)
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Machine learning (31)
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Anomalous Hall effect (2)
Bayesian optimization (2)
Combinatorial (2)
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資源タイプ: ジャーナル論文
キーワード: Machine learning
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31 件のレコードが見つかりました。
Quasicrystals predicted and discovered by machine learning
ジャーナル論文
著者
Chang Liu
(author) (
この著者で検索
)
Chang Liu
;
Koichi Kitahara
(author) (
この著者で検索
)
Koichi Kitahara
;
Asuka Ishikawa
(author) (
この著者で検索
)
Asuka Ishikawa
;
Takanobu Hiroto
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6176-5782
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takanobu Hiroto
;
Alok Singh
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5515-8305
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Alok Singh
;
Erina Fujita
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0987-5597
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Erina Fujita
;
Yukari Katsura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8905-2995
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukari Katsura
;
Yuki Inada
(author) (
この著者で検索
)
Yuki Inada
;
Ryuji Tamura
(author) (
この著者で検索
)
Ryuji Tamura
;
Kaoru Kimura
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5050-4256
National Institute for Materials Science
Kaoru Kimura
;
Ryo Yoshida
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
Ryo Yoshida
キーワード
Crystal forms
,
Crystal phenomena
,
Crystal structure
,
Alloys
,
Machine learning
刊行年月日
2023-09-25
更新時刻
2024-11-21 16:36:03 +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
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
ジャーナル論文
著者
N. Kulesh
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7046-2671
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
N. Kulesh
;
A. Bolyachkin
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
A. Bolyachkin
;
I. Suzuki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
I. Suzuki
;
Y.K. Takahashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Y.K. Takahashi
;
H. Sepehri-Amin
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
H. Sepehri-Amin
;
K. Hono
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7367-0193
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
K. Hono
キーワード
Heat-assisted magnetic recording (HAMR)
,
FePt
,
Deep learning
,
Machine learning
,
Image segmentation
刊行年月日
2023-05-27
更新時刻
2025-05-27 08:30:20 +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
Effects of data bias on machine-learning–based material discovery using experimental property data
ジャーナル論文
著者
Masaya Kumagai
(author) (
この著者で検索
)
Masaya Kumagai
;
Yuki Ando
(author) (
この著者で検索
)
Yuki Ando
;
Atsumi Tanaka
(author) (
この著者で検索
)
Atsumi Tanaka
;
Koji Tsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4288-1606
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Koji Tsuda
;
Yukari Katsura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8905-2995
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukari Katsura
;
Ken Kurosaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3015-3206
(unauthenticated)
Ken Kurosaki
キーワード
Machine learning
,
material informatics
,
large-scale material data
,
data bias
刊行年月日
2022-12-31
更新時刻
2024-11-16 08:31:01 +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
ジャーナル論文
著者
Izumi Takahara
(author) (
この著者で検索
)
Izumi Takahara
;
Fumihiko Uesugi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3346-4218
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Fumihiko Uesugi
;
Koji Kimoto
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3927-0492
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Koji Kimoto
;
Kiyou Shibata
(author) (
この著者で検索
)
Kiyou Shibata
;
Teruyasu Mizoguchi
(author) (
この著者で検索
)
Teruyasu Mizoguchi
キーワード
Machine learning
,
ELNES
,
XANES
,
PDOS
刊行年月日
2024-08-15
更新時刻
2024-10-02 12:30:19 +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
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
ジャーナル論文
著者
Han Chen
(author) (
この著者で検索
)
Han Chen
;
Daisuke Egusa
(author) (
この著者で検索
)
Daisuke Egusa
;
Zehao Li
(author) (
この著者で検索
)
National Institute for Materials Science
Zehao Li
;
Taisuke Sasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5952-7638
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Taisuke Sasaki
;
Ryosuke Ozasa
(author) (
この著者で検索
)
Ryosuke Ozasa
;
Takuya Ishimoto
(author) (
この著者で検索
)
Takuya Ishimoto
;
Masayuki Okugawa
(author) (
この著者で検索
)
Masayuki Okugawa
;
Yuichiro Koizumi
(author) (
この著者で検索
)
Yuichiro Koizumi
;
Takayoshi Nakano
(author) (
この著者で検索
)
Takayoshi Nakano
;
Eiji Abe
(author) (
この著者で検索
)
Eiji Abe
キーワード
High-entropy alloy
,
Laser powder bed fusion
,
Cellular structure
,
Phase separation
,
Dislocation-network
,
Electron microscopy
,
Machine learning
刊行年月日
2025-03-12
更新時刻
2025-04-08 13:16:16 +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
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
ジャーナル論文
著者
E. Dengina
(author) (
この著者で検索
)
National Institute for Materials Science
E. Dengina
;
A. Bolyachkin
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
A. Bolyachkin
;
H. Sepehri-Amin
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
H. Sepehri-Amin
;
K. Hono
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7367-0193
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
K. Hono
キーワード
Magnetic recording
,
Micromagnetic simulations
,
Machine learning
,
FePt media
刊行年月日
2022-05-13
更新時刻
2024-10-15 16:30:13 +0900
キーワード
Machine learning
(31)
Autonomous
(3)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Combinatorial
(2)
Crystal structure
(2)
Ising machine
(2)
ab initio
(2)
Alloys
(1)
Automated synthesis
(1)
Bayesian spectral deconvolution
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Ceramic
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Electronic nose (e-nose)
(1)
Elements
(1)
Embolic agent
(1)
Europium
(1)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
GaN
(1)
Gradient-based optimization
(1)
Graphical user interface
(1)
Half metal
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-entropy alloy
(1)
High-throughput
(1)
High-throughput experiment
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Kesterite
(1)
Laser powder bed fusion
(1)
Local structure
(1)
Lung cancer
(1)
MSS
(1)
Magnetic recording
(1)
Martensitic steel
(1)
Materials
(1)
Materials Informatics
(1)
Materials discovery
(1)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Mössbauer spectroscopy
(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)
SPring-8
(1)
Statistical analysis
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
Thermoelectric
(1)
User-friendly
(1)
X-ray diffraction
(1)
XANES
(1)
ab-initio
(1)
active learning
(1)
adhesive
(1)
autonomous materials search
(1)
data bias
(1)
hap (shapley additive explanations)
(1)
large-scale material data
(1)
material informatics
(1)
nanoXRD
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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