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ジャーナル論文(31)
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キーワード: Machine learning
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40 件のレコードが見つかりました。
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
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
材料開発における4つのインフォマティクス
報告書
著者
岩﨑 悠真
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
物質・材料研究機構 マテリアル基盤研究センター/材料設計分野/データ駆動型材料設計グループ
NIMS Researchers Directory SAMURAI
岩﨑 悠真
キーワード
Machine learning
刊行年月日
[2024年7月]
更新時刻
2024-12-02 16:31:05 +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
Autonomous search for half-metallic materials with
B
2 structure
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
;
Ryo Toyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Takahiro Yamazaki
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0738-9373
(unauthenticated)
Takahiro Yamazaki
;
Yasuhiko Igarashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
Yasuhiko Igarashi
;
Masato Kotsugi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
Masato Kotsugi
;
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
,
ab initio
,
Half metal
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:32 +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
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
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
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
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
キーワード
Machine learning
(40)
Autonomous
(4)
Process
(3)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Ceramic
(2)
Combinatorial
(2)
Crystal structure
(2)
Ising machine
(2)
Kesterite
(2)
Thermoelectric
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Active learning
(1)
Alloys
(1)
Automated synthesis
(1)
Bayesian Optimization
(1)
Bayesian spectral deconvolution
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Coercivity
(1)
Concentrated polymer brush
(1)
Creep
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Electronic nose (e-nose)
(1)
Elements
(1)
Embolic agent
(1)
Europium
(1)
FePt
(1)
FePt media
(1)
Fragment descriptor
(1)
GaN
(1)
Gradient-based optimization
(1)
Graphical user interface
(1)
Half metal
(1)
Hard magnetic materials
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-entropy alloy
(1)
High-throughput
(1)
High-throughput experiment
(1)
Hot extrusion
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Laser powder bed fusion
(1)
Local structure
(1)
Lung cancer
(1)
MSS
(1)
Magnetic recodring
(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Martensitic steel
(1)
Materials
(1)
Materials Informatics
(1)
Materials design
(1)
Materials discovery
(1)
Maximum energy product
(1)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnet
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Performance pridiction
(1)
Phase separation
(1)
Phosphor
(1)
Polypropylene
(1)
Process optimization
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Remanence
(1)
Retention time prediction
(1)
SPring-8
(1)
SmFe12-based alloys
(1)
Squareness
(1)
Statistical analysis
(1)
Structural Materials
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(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)
nanoXRD
(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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