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キーワード: Machine learning
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37 件のレコードが見つかりました。
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
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
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
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
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
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 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
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
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
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
キーワード
Machine learning
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(2)
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(2)
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(2)
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(2)
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(2)
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(2)
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(2)
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(2)
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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)
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plasma emission spectrum
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