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ジャーナル論文(21)
キーワード
Machine learning (21)
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ab initio (2)
Automated synthesis (1)
Bayesian optimization (1)
Bayesian spectral deconvolution (1)
Bootstrap resampling (1)
CALPHAD (1)
Carbon Nanotubes (1)
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資源タイプ: ジャーナル論文
キーワード: Machine learning
全ての絞り込みを解除
21 件のレコードが見つかりました。 1件目から10件目まで表示します。
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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
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
ジャーナル論文
著者
Guohai Chen
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
キーワード
Carbon Nanotubes
,
Synthesis
,
Properties
,
Machine learning
刊行年月日
2025-10-20
更新時刻
2025-12-13 08:30:03 +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
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
ジャーナル論文
著者
Christophe Bajan
(author) (
この著者で検索
)
https://orcid.org/0009-0008-1433-9618
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
Guillaume Lambard
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Guillaume Lambard
キーワード
Graphical user interface
,
Statistical analysis
,
Machine learning
,
Bayesian optimization
,
Process optimization
,
User-friendly
刊行年月日
2025-01-21
更新時刻
2025-01-27 12:30:30 +0900
Statistical evaluation of phase fractions in a MoSiBTiC alloy by machine-learning-assisted segmentation of scanning electron microscopy images
ジャーナル論文
著者
Chihana Kudo
(author) (
この著者で検索
)
Chihana Kudo
;
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
;
Akihiro Endo
(author) (
この著者で検索
)
https://orcid.org/0009-0009-7175-6079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Akihiro Endo
;
Kenji Nagata
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9894-4461
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kenji Nagata
;
Kyosuke Yoshimi
(author) (
この著者で検索
)
Kyosuke Yoshimi
キーワード
MoSiBTiC alloy
,
Scanning electron microscopy
,
Image segmentation
,
Machine learning
,
Bootstrap resampling
,
Fracture toughness
刊行年月日
2026-07-30
更新時刻
2026-09-16 10:47:16 +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
Improving efficiency of autonomous material search via transfer learning from nontarget properties
ジャーナル論文
著者
Jaekyun Hwang
(author) (
この著者で検索
)
National Institute for Materials Science
Jaekyun Hwang
;
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
キーワード
Machine learning
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:11:31 +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
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
ジャーナル論文
著者
Lambard, Guillaume
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Lambard, Guillaume
;
Naito, Masanobu
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7198-819X
NIMS Researchers Directory SAMURAI
Naito, Masanobu
;
Samitsu, Sadaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4139-1656
NIMS Researchers Directory SAMURAI
Samitsu, Sadaki
;
Pruksawan, Sirawit
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
Pruksawan, Sirawit
;
Sodeyama, Keitaro
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9228-0729
NIMS Researchers Directory SAMURAI
Sodeyama, Keitaro
キーワード
active learning
,
Machine learning
,
adhesive
刊行年月日
2019-12-31
更新時刻
2024-01-05 22:11:50 +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
(21)
Autonomous
(2)
Ising machine
(2)
ab initio
(2)
Automated synthesis
(1)
Bayesian optimization
(1)
Bayesian spectral deconvolution
(1)
Bootstrap resampling
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Ceramic
(1)
Critical temperature
(1)
Crystal structure
(1)
Curie temperature
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Elements
(1)
Embolic agent
(1)
Europium
(1)
FePt media
(1)
Fracture toughness
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Graphical user interface
(1)
Half metal
(1)
High-entropy alloy
(1)
High-throughput experiment
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Kesterite
(1)
Laser powder bed fusion
(1)
Local structure
(1)
Magnetic recording
(1)
Martensitic steel
(1)
Materials
(1)
Materials discovery
(1)
Micromagnetic simulations
(1)
MoSiBTiC alloy
(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)
Scanning electron microscopy
(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)
hap (shapley additive explanations)
(1)
RDEメタデータ定義
RDE送り状
<
1
2
3
>
絞り込み
コレクション
資源タイプ
ジャーナル論文(21)
キーワード
Machine learning (21)
Autonomous (2)
Ising machine (2)
ab initio (2)
Automated synthesis (1)
Bayesian optimization (1)
Bayesian spectral deconvolution (1)
Bootstrap resampling (1)
CALPHAD (1)
Carbon Nanotubes (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (13)
In Copyright (3)
cc-by-3.0 (1)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (1)
https://creativecommons.org/licenses/by/3.0/ (1)
ファイル種別
application/pdf (20)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (2)