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ジャーナル論文(22)
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Machine learning (24)
Autonomous (3)
Anomalous Hall effect (2)
Combinatorial (2)
Crystal structure (2)
ab initio (2)
AI-Driven Glass Design (1)
Alloys (1)
Automated synthesis (1)
Bayesian optimization (1)
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ファイル種別: application/pdf
キーワード: Machine learning
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24 件のレコードが見つかりました。
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
ジャーナル論文
著者
Rintaro Minami
(author) (
この著者で検索
)
University of Tsukuba a Department of Applied Physics
Rintaro Minami
;
Eiji Kita
(author) (
この著者で検索
)
Eiji Kita
;
Chiharu Mitsumata
(author) (
この著者で検索
)
Chiharu Mitsumata
;
Hideto Yanagihara
(author) (
この著者で検索
)
Hideto Yanagihara
キーワード
Machine learning
,
principal component analysis (PCA)
,
reactive magnetron sputtering
,
plasma emission spectrum
,
Mössbauer spectroscopy
刊行年月日
2025-12-31
更新時刻
2025-09-10 16:30:38 +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
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
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
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
ジャーナル論文
著者
Akihiro Nishiguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3160-6385
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Akihiro Nishiguchi
;
Miho Ohta
(author) (
この著者で検索
)
Miho Ohta
;
Debabrata Palai
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1192-6143
National Institute for Materials Science
Debabrata Palai
;
Shima Ito
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3233-617X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shima Ito
;
Kensaku Mori
(author) (
この著者で検索
)
Kensaku Mori
;
Ryotaro Akagi
(author) (
この著者で検索
)
Ryotaro Akagi
;
Christophe Bajan
(author) (
この著者で検索
)
https://orcid.org/0009-0008-1433-9618
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
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
;
Keitaro Sodeyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9228-0729
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Keitaro Sodeyama
;
Tetsushi Taguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2541-2530
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tetsushi Taguchi
キーワード
Hydrogel
,
Embolic agent
,
Machine learning
刊行年月日
2024-11-07
更新時刻
2025-02-26 16:30:29 +0900
From Random Networks to AI-Driven Glass Design
プレゼンテーション
著者
N. M. Anoop Krishnan
(author) (
この著者で検索
)
Indian Institute of Technology Delhi Department of Civil Engineering
N. M. Anoop Krishnan
キーワード
Machine learning
,
AI-Driven Glass Design
刊行年月日
更新時刻
2025-09-25 16:30:42 +0900
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
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
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
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
キーワード
Machine learning
(24)
Autonomous
(3)
Anomalous Hall effect
(2)
Combinatorial
(2)
Crystal structure
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Alloys
(1)
Automated synthesis
(1)
Bayesian optimization
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Ceramic
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
Curie temperature
(1)
Deep learning
(1)
Domain knowledge integration
(1)
ELNES
(1)
Elements
(1)
Embolic agent
(1)
FePt
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Half metal
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-throughput
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Ising machine
(1)
Kesterite
(1)
MSS
(1)
Martensitic steel
(1)
Materials
(1)
Materials design
(1)
Materials discovery
(1)
Mössbauer spectroscopy
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Process
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
Thermoelectric
(1)
XANES
(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)
RDEメタデータ定義
RDE送り状
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