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キーワード: Machine learning
全ての絞り込みを解除
40 件のレコードが見つかりました。
自律材料探索による磁性材料開発
ジャーナル論文
著者
岩崎 悠真
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
岩崎 悠真
キーワード
Machine learning
,
Materials Informatics
刊行年月日
2025-06-10
更新時刻
2025-12-12 08:30:25 +0900
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
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
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
ジャーナル論文
著者
E. Dengina
(author) (
この著者で検索
)
National Institute for Materials Science
E. Dengina
;
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
;
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
Magnetic recording
,
Micromagnetic simulations
,
Machine learning
,
FePt media
刊行年月日
2022-05-13
更新時刻
2024-10-15 16:30:13 +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
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
ジャーナル論文
著者
Guohai Chen
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
キーワード
Carbon Nanotubes
,
Synthesis
,
Properties
,
Machine learning
刊行年月日
2025-10-20
更新時刻
2025-12-13 08:30:03 +0900
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
ジャーナル論文
著者
Han Chen
(author) (
この著者で検索
)
Han Chen
;
Daisuke Egusa
(author) (
この著者で検索
)
Daisuke Egusa
;
Zehao Li
(author) (
この著者で検索
)
National Institute for Materials Science
Zehao Li
;
Taisuke Sasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5952-7638
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Taisuke Sasaki
;
Ryosuke Ozasa
(author) (
この著者で検索
)
Ryosuke Ozasa
;
Takuya Ishimoto
(author) (
この著者で検索
)
Takuya Ishimoto
;
Masayuki Okugawa
(author) (
この著者で検索
)
Masayuki Okugawa
;
Yuichiro Koizumi
(author) (
この著者で検索
)
Yuichiro Koizumi
;
Takayoshi Nakano
(author) (
この著者で検索
)
Takayoshi Nakano
;
Eiji Abe
(author) (
この著者で検索
)
Eiji Abe
キーワード
High-entropy alloy
,
Laser powder bed fusion
,
Cellular structure
,
Phase separation
,
Dislocation-network
,
Electron microscopy
,
Machine learning
刊行年月日
2025-03-12
更新時刻
2025-04-08 13:16:16 +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
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
機械学習を用いた耐熱鋼のクリープ寿命予測
書籍
著者
出村 雅彦
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7308-3041
物質・材料研究機構 技術開発・共用部門
NIMS Researchers Directory SAMURAI
出村 雅彦
キーワード
Machine learning
,
Structural Materials
,
Performance pridiction
,
Creep
刊行年月日
2025-05-30
更新時刻
2026-01-07 09:42:32 +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)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(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)
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(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Martensitic steel
(1)
Materials
(1)
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(1)
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(1)
Materials discovery
(1)
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(1)
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(1)
Micromagnetic simulations
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Nd-Fe-B magnet
(1)
Nd-Fe-B magnets
(1)
Olfactory sensor
(1)
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(1)
PDOS
(1)
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(1)
Phase separation
(1)
Phosphor
(1)
Polypropylene
(1)
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(1)
Properties
(1)
Proton configuration
(1)
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(1)
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(1)
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(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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