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)Kenji Yamaguchi (author) (この著者で検索)
https://orcid.org/0009-0004-6743-0299
(unauthenticated)
;
Ryo Tamura (author) (この著者で検索)
- 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
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
- ジャーナル論文
- 著者
-
Ryo Tamura (author) (この著者で検索)National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team
;
;Ryuichi Inaba (author) (この著者で検索)MITSUBISHI MATERIALS CORPORATION;Mami Watanabe (author) (この著者で検索)MITSUBISHI MATERIALS CORPORATION;Yutaro Mori (author) (この著者で検索)MITSUBISHI MATERIALS CORPORATION;Makoto Urushihara (author) (この著者で検索)MITSUBISHI MATERIALS CORPORATION;Kenji Yamaguchi (author) (この著者で検索)MITSUBISHI MATERIALS CORPORATIONShoichi Matsuda (author) (この著者で検索)National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team
- キーワード
- electrodeposited copper film, surface roughness, machine learning
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-10-31 16:30:15 +0900
Understanding strain localization in metallic materials: a review of high-resolution digital image correlation and related techniques
- ジャーナル論文
- 著者
-
F. Briffod (author) (この著者で検索)
;
;T. E.J. Edwards (author) (この著者で検索);J. Quinta da Fonseca (author) (この著者で検索);J. -C. Stinville (author) (この著者で検索);D. Texier (author) (この著者で検索)T. Vermeij (author) (この著者で検索)
- キーワード
- High-resolution digital image correlation, strain localization, crystal plasticity, data merging, metallic materials, machine learning
- 刊行年月日
- 2026-12-31
- 更新時刻
- 2026-03-13 08:30:04 +0900
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
- ジャーナル論文
- 著者
-
Houichi Kitano (author) (この著者で検索)National Institute for Materials Science
;
Masaki Kobayashi (author) (この著者で検索)National Institute for Materials Science
;
Masahiko Demura (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Acoustic sensing, in-process monitoring, gas metal arc welding, disturbance detection, machine learning, explainable AI, smart manufacturing
- 刊行年月日
- 2026-12-31
- 更新時刻
- 2026-06-25 09:51:40 +0900
Machine-Learning-Driven Discovery of Mn4+-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)
;
;Yayun Zhou (author) (この著者で検索)Maxim S. Molokeev (author) (この著者で検索)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
;
;Chuang Zhang (author) (この著者で検索);Lin Huang (author) (この著者で検索);Yuanjing Wang (author) (この著者で検索)Hong-Tao Sun (author) (この著者で検索)
;
Enhai Song (author) (この著者で検索)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
;
Qinyuan Zhang (author) (この著者で検索)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
- 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
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 ScienceShoichi Matsuda (author) (この著者で検索)National Institute for Materials Science
;
;Yasunobu Ando (author) (この著者で検索);Toshiyuki Momma (author) (この著者で検索)Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- 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