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ジャーナル論文(18)
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Machine learning (20)
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キーワード: Machine learning
全ての絞り込みを解除
20 件のレコードが見つかりました。
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
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-Based Experimental Design in Materials Science
書籍
著者
Tsuda, Koji
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4288-1606
NIMS Researchers Directory SAMURAI
Tsuda, Koji
;
Dieb, Thaer M.
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8111-2009
NIMS Researchers Directory SAMURAI
Dieb, Thaer M.
キーワード
Materials design
,
Machine learning
,
Optimal experiment design
刊行年月日
2018-01-16
更新時刻
2022-10-03 01:58:06 +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
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 closed-loop exploration of composition-spread films for the anomalous Hall effect
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
;
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Shoichi Matsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0640-3404
NIMS Researchers Directory SAMURAI
Shoichi Matsuda
;
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
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
,
Autonomous
,
Combinatorial
,
Anomalous Hall effect
刊行年月日
2025-11-19
更新時刻
2025-12-25 17:32:06 +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
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
ジャーナル論文
著者
Naoki Yamane
(author) (
この著者で検索
)
Tsukuba University
Naoki Yamane
;
Kan Hatakeyama-Sato
(author) (
この著者で検索
)
東京工業大学
Kan Hatakeyama-Sato
;
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Yasuhiko Igarashi
(author) (
この著者で検索
)
Tsukuba University
Yasuhiko Igarashi
キーワード
Machine learning
刊行年月日
2024-12-31
更新時刻
2024-11-14 16:30:30 +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
(20)
Anomalous Hall effect
(2)
Ceramic
(2)
Combinatorial
(2)
Kesterite
(2)
Process
(2)
Thermoelectric
(2)
Automated synthesis
(1)
Autonomous
(1)
Bayesian optimization
(1)
CALPHAD
(1)
Critical temperature
(1)
Deep learning
(1)
Domain knowledge integration
(1)
ELNES
(1)
Embolic agent
(1)
Europium
(1)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-throughput
(1)
High-throughput experiment
(1)
Hydrogel
(1)
Image segmentation
(1)
Ising machine
(1)
Local structure
(1)
MSS
(1)
Magnetic recording
(1)
Materials Informatics
(1)
Materials design
(1)
Materials discovery
(1)
Micromagnetic simulations
(1)
Mössbauer spectroscopy
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Phosphor
(1)
Proton configuration
(1)
Retention time prediction
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
XANES
(1)
active learning
(1)
adhesive
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
RDEメタデータ定義
RDE送り状
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