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ジャーナル論文(8)
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machine learning (8)
Eu2+ (1)
FePt (1)
Fermi surface (1)
Titanium alloys (1)
Young’s modulus prediction (1)
biomedical alloys (1)
carbon nanotube (1)
combinatorial (1)
emission spectrum (1)
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資源タイプ: ジャーナル論文
キーワード: machine learning
全ての絞り込みを解除
8 件のレコードが見つかりました。 1件目から8件目まで表示します。
全ての絞り込みを解除
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
ジャーナル論文
著者
Daisuke Ogawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
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
;
Jun Uzuhashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2023-8158
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Jun Uzuhashi
;
Yuta Sasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9192-4799
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuta Sasaki
;
Masato Kotsugi
(author) (
この著者で検索
)
Masato Kotsugi
;
Yukiko 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
Yukiko K. Takahashi
キーワード
heat-assisted magnetic recording
,
FePt
,
combinatorial
,
high throughput
,
machine learning
,
rare-earth doping
刊行年月日
2025-06-23
更新時刻
2025-07-11 08:30:48 +0900
Machine-Learning-Driven Discovery of Mn
4+
-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
ジャーナル論文
著者
Hong Ming
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
Hong Ming
;
Yayun Zhou
(author) (
この著者で検索
)
Yayun Zhou
;
Maxim S. Molokeev
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
Maxim S. Molokeev
;
Chuang Zhang
(author) (
この著者で検索
)
Chuang Zhang
;
Lin Huang
(author) (
この著者で検索
)
Lin Huang
;
Yuanjing Wang
(author) (
この著者で検索
)
Yuanjing Wang
;
Hong-Tao Sun
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0003-7941
NIMS Researchers Directory SAMURAI
Hong-Tao Sun
;
Enhai Song
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
Enhai Song
;
Qinyuan Zhang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
Qinyuan Zhang
キーワード
luminescent materials
,
machine learning
刊行年月日
2024-05-06
更新時刻
2025-04-03 08:30:20 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
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
machine learning
,
carbon nanotube
,
in situ TEM
,
growth mechanism
刊行年月日
2024-10-22
更新時刻
2024-12-24 13:58:23 +0900
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
ジャーナル論文
著者
Hassan Ahmad
(author) (
この著者で検索
)
Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Metallurgy and Materials Engineering
Hassan Ahmad
;
Muhammad Haider
(author) (
この著者で検索
)
Muhammad Haider
;
Zafar Iqbal
(author) (
この著者で検索
)
Zafar Iqbal
;
Muhammad Zarif
(author) (
この著者で検索
)
Muhammad Zarif
;
Syed Mujtaba Ul Hassan
(author) (
この著者で検索
)
Syed Mujtaba Ul Hassan
キーワード
Titanium alloys
,
machine learning
,
biomedical alloys
,
Young’s modulus prediction
刊行年月日
2026-12-31
更新時刻
2026-07-08 16:58:38 +0900
Black-box optimization technique for investigation of surface phase diagram
ジャーナル論文
著者
Makoto Urushihara
(author) (
この著者で検索
)
Makoto Urushihara
;
Kenji Yamaguchi
(author) (
この著者で検索
)
https://orcid.org/0009-0004-6743-0299
(unauthenticated)
Kenji Yamaguchi
;
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
キーワード
machine learning
,
surface phase diagram
刊行年月日
2024-12-01
更新時刻
2024-12-10 16:55:25 +0900
Analysis of the effect of the Fermi surface matching at Co–Fe and Cu interface on giant magnetoresistance effect using a combinatorial technique
ジャーナル論文
著者
Varun Kumar Kushwaha
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6344-4264
(unauthenticated)
National Institute for Materials Science
Varun Kumar Kushwaha
;
Ryo Toyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7398-5803
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Yoshio Miura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5605-5452
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yoshio Miura
;
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
;
Yuya Sakuraba
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4618-9550
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
キーワード
spintronics
,
giant magnetoresistance
,
machine learning
,
Fermi surface
,
interfacial electronic band matching
刊行年月日
2024-12-01
更新時刻
2025-01-07 16:30:50 +0900
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
ジャーナル論文
著者
Yukinori Koyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7090-4430
National Institute for Materials Science Research and Services Division of Materials Data and Integrated System
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Hidekazu Ikeno
(author) (
この著者で検索
)
Osaka Metropolitan University
Hidekazu Ikeno
;
Masamichi Harada
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Functional Materials
Masamichi Harada
;
Shiro Funahashi
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Functional Materials
Shiro Funahashi
;
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
National Institute for Materials Science Research Center for Functional Materials
NIMS Researchers Directory SAMURAI
Takashi Takeda
;
Naoto Hirosaki
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Functional Materials
Naoto Hirosaki
キーワード
phosphor
,
materials design
,
machine learning
,
luminescence
,
emission spectrum
,
Eu2+
刊行年月日
2022-11-29
更新時刻
2024-01-05 22:11:23 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
ジャーナル論文
著者
Qianli Si
(author) (
この著者で検索
)
National Institute for Materials Science
Qianli Si
;
Shoichi Matsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0640-3404
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shoichi Matsuda
;
Yasunobu Ando
(author) (
この著者で検索
)
Yasunobu Ando
;
Toshiyuki Momma
(author) (
この著者で検索
)
Toshiyuki Momma
;
Yoshitaka Tateyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5532-6134
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yoshitaka Tateyama
キーワード
lithium metal battery
,
machine learning
刊行年月日
2025-05-05
更新時刻
2025-09-09 12:30:20 +0900
キーワード
machine learning
(8)
Eu2+
(1)
FePt
(1)
Fermi surface
(1)
Titanium alloys
(1)
Young’s modulus prediction
(1)
biomedical alloys
(1)
carbon nanotube
(1)
combinatorial
(1)
emission spectrum
(1)
giant magnetoresistance
(1)
growth mechanism
(1)
heat-assisted magnetic recording
(1)
high throughput
(1)
in situ TEM
(1)
interfacial electronic band matching
(1)
lithium metal battery
(1)
luminescence
(1)
luminescent materials
(1)
materials design
(1)
phosphor
(1)
rare-earth doping
(1)
spintronics
(1)
surface phase diagram
(1)
RDEメタデータ定義
RDE送り状
<
1
>
絞り込み
コレクション
資源タイプ
ジャーナル論文(8)
キーワード
machine learning (8)
Eu2+ (1)
FePt (1)
Fermi surface (1)
Titanium alloys (1)
Young’s modulus prediction (1)
biomedical alloys (1)
carbon nanotube (1)
combinatorial (1)
emission spectrum (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (5)
In Copyright (2)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (1)
ファイル種別
application/pdf (7)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
application/zip (1)
chemical/x-cif (1)