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ファイル種別: application/pdf
キーワード: Machine learning
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23 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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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
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
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
プレゼンテーション
著者
Chiaki Yoshikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6589-387X
National Institute for Materials Science Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team
NIMS Researchers Directory SAMURAI
Chiaki Yoshikawa
;
Hiroshi Mamitsuka
(author) (
この著者で検索
)
Hiroshi Mamitsuka
キーワード
Machine learning
,
Multicellular dynamics
,
Concentrated polymer brush
,
Cellulose nanofiber
刊行年月日
更新時刻
2025-11-06 12:30:42 +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
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
ジャーナル論文
著者
Ryo Toyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Prabhanjan D. Kulkarni
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4605-5256
Prabhanjan D. Kulkarni
;
Hirofumi Suto
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4387-5862
NIMS Researchers Directory SAMURAI
Hirofumi Suto
;
Tomoya Nakatani
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9590-216X
NIMS Researchers Directory SAMURAI
Tomoya Nakatani
;
Yuya Sakuraba
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
キーワード
Machine learning
,
High-throughput
,
Combinatorial
,
Anomalous Hall effect
刊行年月日
2025-09-03
更新時刻
2025-12-26 13:11:05 +0900
Elemental Reactivity Maps for Materials Discovery
ジャーナル論文
著者
Yuki Inada
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
Yuki Inada
;
Masaya Fujioka
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
Masaya Fujioka
;
Haruhiko Morito
(author) (
この著者で検索
)
Haruhiko Morito
;
Tohru Sugahara
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
Tohru Sugahara
;
Hisanori Yamane
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
Hisanori Yamane
;
Yukari Katsura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8905-2995
NIMS Researchers Directory SAMURAI
Yukari Katsura
キーワード
Crystal structure
,
Elements
,
Machine learning
,
Materials
,
Reactivity
刊行年月日
2025-03-25
更新時刻
2026-02-21 16:30:08 +0900
Automated odor-blending with one-pot Bayesian optimization
ジャーナル論文
著者
Yota Fukui
(author) (
この著者で検索
)
Yota Fukui
;
Kosuke Minami
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4145-1118
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kosuke Minami
;
Kota Shiba
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7775-0318
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kota Shiba
;
Genki Yoshikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9136-8964
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Genki Yoshikawa
;
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
;
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
キーワード
Machine learning
,
MSS
,
Bayesian optimization
,
Olfactory sensor
刊行年月日
2024-04-16
更新時刻
2024-06-10 12:30:19 +0900
Autonomous search for materials with high Curie temperature using
ab initio
calculations and machine learning
ジャーナル論文
著者
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
キーワード
Machine learning
,
Autonomous
,
Curie temperature
,
ab initio
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:28 +0900
Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
ジャーナル論文
著者
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Hwang Jaekyun
(author) (
この著者で検索
)
https://orcid.org/0000-0002-1792-0044
(unauthenticated)
Hwang Jaekyun
;
Yuya Sakuraba
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
;
Masato Kotsugi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
Masato Kotsugi
;
Yasuhiko Igarashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
Yasuhiko Igarashi
キーワード
autonomous materials search
,
ab-initio
,
Machine learning
刊行年月日
2022-12-31
更新時刻
2024-01-05 22:14:05 +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
キーワード
Machine learning
(23)
Autonomous
(3)
Anomalous Hall effect
(2)
Combinatorial
(2)
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(2)
Ising machine
(2)
ab initio
(2)
Alloys
(1)
Automated synthesis
(1)
Bayesian optimization
(1)
Bayesian spectral deconvolution
(1)
CALPHAD
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Ceramic
(1)
Concentrated polymer brush
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
Electron microscopy
(1)
Elements
(1)
Embolic agent
(1)
FePt
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Half metal
(1)
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(1)
High-entropy alloy
(1)
High-throughput
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Kesterite
(1)
Laser powder bed fusion
(1)
MSS
(1)
Martensitic steel
(1)
Materials
(1)
Materials design
(1)
Materials discovery
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
Phase separation
(1)
Polypropylene
(1)
Process
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Thermoelectric
(1)
X-ray diffraction
(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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コレクション
資源タイプ
ジャーナル論文(21)
書籍(1)
プレゼンテーション(1)
キーワード
Machine learning (23)
Autonomous (3)
Anomalous Hall effect (2)
Combinatorial (2)
Crystal structure (2)
Ising machine (2)
ab initio (2)
Alloys (1)
Automated synthesis (1)
Bayesian optimization (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (14)
In Copyright (3)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (2)
cc-by-3.0 (1)
https://creativecommons.org/licenses/by/3.0/ (1)
ファイル種別
application/pdf (23)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
application/zip (1)