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キーワード: Machine learning
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38 件のレコードが見つかりました。
Data-Driven Development of Magnetic Materials
プレゼンテーション
著者
BOLYACHKIN Anton
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science Global Networking Division/International Center for Young Scientists
NIMS Researchers Directory SAMURAI
BOLYACHKIN Anton
;
SEPEHRI AMIN Hossein
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
NIMS Researchers Directory SAMURAI
SEPEHRI AMIN Hossein
;
OHKUBO Tadakatsu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3548-1951
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
NIMS Researchers Directory SAMURAI
OHKUBO Tadakatsu
キーワード
Nd-Fe-B magnets
,
Magnetocaloric materials
,
Magnetic recodring
,
Machine learning
刊行年月日
更新時刻
2024-10-16 16:30:20 +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
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
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
ジャーナル論文
著者
N. Kulesh
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7046-2671
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
N. Kulesh
;
A. Bolyachkin
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
A. Bolyachkin
;
I. Suzuki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
I. Suzuki
;
Y.K. Takahashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Y.K. Takahashi
;
H. Sepehri-Amin
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
H. Sepehri-Amin
;
K. Hono
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7367-0193
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
K. Hono
キーワード
Heat-assisted magnetic recording (HAMR)
,
FePt
,
Deep learning
,
Machine learning
,
Image segmentation
刊行年月日
2023-05-27
更新時刻
2025-05-27 08:30:20 +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
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
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
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
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
キーワード
Machine learning
(38)
Autonomous
(4)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Ceramic
(2)
Combinatorial
(2)
Crystal structure
(2)
Ising machine
(2)
Kesterite
(2)
Process
(2)
Thermoelectric
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Alloys
(1)
Automated synthesis
(1)
Bayesian spectral deconvolution
(1)
Breath analysis
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(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)
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)
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)
Membrane-type Surface stress Sensor (MSS)
(1)
Micromagnetic simulations
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(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)
Retention time prediction
(1)
SmFe12-based alloys
(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)
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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