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論文・データセット
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ジャーナル論文(10)
プロシーディングス論文(1)
データセット(1)
キーワード
machine learning (12)
tdm (2)
Time-domain thermoreflectance (1)
Titanium alloys (1)
Young’s modulus prediction (1)
active learning (1)
adhesive (1)
biomedical alloys (1)
carbon nanotube (1)
composition-based feature (1)
(more)
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Creative Commons BY Attribution 4.0 International (8)
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キーワード: machine learning
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12 件のレコードが見つかりました。
全ての絞り込みを解除
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
ジャーナル論文
著者
Paripat Kraisornkachit
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0796-3665
NIMS Researchers Directory SAMURAI
Paripat Kraisornkachit
;
Masanobu Naito
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7198-819X
NIMS Researchers Directory SAMURAI
Masanobu Naito
;
Chao Kang
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
Chao Kang
;
Chiaki Sato
(author) (
この著者で検索
)
Chiaki Sato
キーワード
experimental testing
,
multi-objective optimization
,
epoxy
,
adhesive
,
elastic modulus
,
machine learning
,
active learning
刊行年月日
2024-06-12
更新時刻
2025-01-07 08:30:26 +0900
Estimating the S-N Curve by Machine Learning Random Forest Method
ジャーナル論文
著者
Nobuo Nagashima
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3588-980X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Nobuo Nagashima
;
Masao Hayakawa
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5143-8350
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masao Hayakawa
;
Hiroyuki Masuda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2847-1616
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Hiroyuki Masuda
;
Kotobu Nagai
(author) (
この著者で検索
)
National Institute for Materials Science
Kotobu Nagai
キーワード
fatigue
,
high-cycle fatigue
,
data-sheet
,
machine learning
,
random forest method
刊行年月日
2024-04-01
更新時刻
2024-12-27 16:30:58 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
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
machine learning
,
carbon nanotube
,
in situ TEM
,
growth mechanism
刊行年月日
2024-10-22
更新時刻
2024-12-24 13:58:23 +0900
Theoretical investigation of oxidation mechanism in Ti and its alloys
プロシーディングス論文
著者
Ryoji Sahara
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0788-2985
National Institute for Materials Science Research Center for Structural Materials/Materials Evaluation Field/Computational Structural Materials Group
NIMS Researchers Directory SAMURAI
Ryoji Sahara
;
Somesh Kr. Bhattacharya
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Structural Materials/Design and Producing Field/Computational Structural Materials Group
Somesh Kr. Bhattacharya
;
Kanika Kohli
(author) (
この著者で検索
)
Indian Institute of Science Education and Research Pune
Kanika Kohli
;
Prasenjit Ghosh
(author) (
この著者で検索
)
Indian Institute of Science Education and Research Pune
Prasenjit Ghosh
;
Kyosuke Ueda
(author) (
この著者で検索
)
Tohoku Univ.
Kyosuke Ueda
;
Takayuki Narushima
(author) (
この著者で検索
)
Tohoku Univ.
Takayuki Narushima
キーワード
high temperature oxidation
,
parabolic rate constant
,
first principles calculations
,
machine learning
,
electronegativity
刊行年月日
更新時刻
2024-10-18 16:30:37 +0900
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu
2+
-phosphor emissions
ジャーナル論文
著者
Yukinori Koyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7090-4430
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Ryusei Hayasaka
(author) (
この著者で検索
)
Ryusei Hayasaka
;
Yuta Matsushima
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
Yuta Matsushima
;
Takayuki Nakanishi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3412-2842
NIMS Researchers Directory SAMURAI
Takayuki Nakanishi
;
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
NIMS Researchers Directory SAMURAI
Takashi Takeda
;
Naoto Hirosaki
(author) (
この著者で検索
)
Naoto Hirosaki
キーワード
materials informatics
,
phosphor
,
europium
,
machine learning
,
interpretability
,
linear model
,
composition-based feature
刊行年月日
2026-12-31
更新時刻
2026-07-07 14:31:04 +0900
Self-Energy Spectroscopy and Artificial Neural Network
ジャーナル論文
著者
Youhei Yamaji
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4055-8792
NIMS Researchers Directory SAMURAI
Youhei Yamaji
キーワード
machine learning
,
quantum materials
,
photoemission spectroscopy
,
high-temperature superconductivity
刊行年月日
2025-03-15
更新時刻
2025-02-27 12:30:42 +0900
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
ジャーナル論文
著者
Hiroto Arima
(author) (
この著者で検索
)
National Institute of Advanced Industrial Science and Technology (AIST) National Metrology Institute of Japan (NMIJ)
Hiroto Arima
;
Yuichiro Yamashita
(author) (
この著者で検索
)
Yuichiro Yamashita
;
Takashi Yagi
(author) (
この著者で検索
)
Takashi Yagi
キーワード
Time-domain thermoreflectance
,
multiple delay
,
thin film
,
thermal effusivity
,
interfacial thermal resistance
,
machine learning
刊行年月日
2025-12-31
更新時刻
2025-07-16 16:14:58 +0900
Supercon 2 Dataset
データセット
著者
Foppiano, Luca
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
Foppiano, Luca
キーワード
superconductors
,
machine learning
,
dataset
,
tdm
,
materials science
刊行年月日
2022-09-10
更新時刻
2022-10-18 10:11:01 +0900
Networking autonomous material exploration systems through transfer learning
ジャーナル論文
著者
Naoki Yoshida
(author) (
この著者で検索
)
Naoki Yoshida
;
Yutaro Iwabuchi
(author) (
この著者で検索
)
Yutaro Iwabuchi
;
Yasuhiko Igarashi
(author) (
この著者で検索
)
Yasuhiko Igarashi
;
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
2025-12-09
更新時刻
2025-12-13 08:30:26 +0900
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
ジャーナル論文
著者
Hassan Ahmad
(author) (
この著者で検索
)
Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Metallurgy and Materials Engineering
Hassan Ahmad
;
Muhammad Haider
(author) (
この著者で検索
)
Muhammad Haider
;
Zafar Iqbal
(author) (
この著者で検索
)
Zafar Iqbal
;
Muhammad Zarif
(author) (
この著者で検索
)
Muhammad Zarif
;
Syed Mujtaba Ul Hassan
(author) (
この著者で検索
)
Syed Mujtaba Ul Hassan
キーワード
Titanium alloys
,
machine learning
,
biomedical alloys
,
Young’s modulus prediction
刊行年月日
2026-12-31
更新時刻
2026-07-08 16:58:38 +0900
キーワード
machine learning
(12)
tdm
(2)
Time-domain thermoreflectance
(1)
Titanium alloys
(1)
Young’s modulus prediction
(1)
active learning
(1)
adhesive
(1)
biomedical alloys
(1)
carbon nanotube
(1)
composition-based feature
(1)
data-sheet
(1)
dataset
(1)
deep learning
(1)
elastic modulus
(1)
electronegativity
(1)
epoxy
(1)
europium
(1)
experimental testing
(1)
fatigue
(1)
first principles calculations
(1)
growth mechanism
(1)
high temperature oxidation
(1)
high-cycle fatigue
(1)
high-temperature superconductivity
(1)
in situ TEM
(1)
interfacial thermal resistance
(1)
interpretability
(1)
linear model
(1)
materials informatics
(1)
materials science
(1)
multi-objective optimization
(1)
multiple delay
(1)
parabolic rate constant
(1)
phase identification
(1)
phosphor
(1)
photoemission spectroscopy
(1)
physical quantities
(1)
quantum materials
(1)
quasicrystal
(1)
random forest method
(1)
superconductors
(1)
thermal effusivity
(1)
thin film
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
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絞り込み
コレクション
資源タイプ
ジャーナル論文(10)
プロシーディングス論文(1)
データセット(1)
キーワード
machine learning (12)
tdm (2)
Time-domain thermoreflectance (1)
Titanium alloys (1)
Young’s modulus prediction (1)
active learning (1)
adhesive (1)
biomedical alloys (1)
carbon nanotube (1)
composition-based feature (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (8)
In Copyright (3)
Creative Commons BY-NC Attribution-NonCommercial 4.0 International (1)
ファイル種別
application/pdf (10)
text/csv (2)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
application/zip (1)