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- In Copyright (10)
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32 records found.
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
- Journal article
- Creator
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;Hiroyuki Tanaka (author) (Search by this author)a Graduate School of Engineering, Nagoya University;Kentaro Kutsukake (author) (Search by this author);Kota Asakura (author) (Search by this author);Takuto Kojima (author) (Search by this author);Xin Liu (author) (Search by this author)Noritaka Usami (author) (Search by this author)
- Keyword
- Optimization, machine learning, genetic algorithm, crystal growth, process informatics
- Date published
- 2025-12-31
- Updated at
- 2026-02-27 12:30:07 +0900
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
- Journal article
- Creator
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;Hassan Ahmad (author) (Search by this author)Department of Metallurgy and Materials Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS);Muhammad Haider (author) (Search by this author);Zafar Iqbal (author) (Search by this author);Muhammad Zarif (author) (Search by this author)Syed Mujtaba Ul Hassan (author) (Search by this author)
- Keyword
- Titanium alloys, machine learning, biomedical alloys, Young’s modulus prediction
- Date published
- 2026-12-31
- Updated at
- 2026-07-08 16:58:38 +0900
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
- Journal article
- Creator
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Yukinori Koyama (author) (Search by this author)Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science
;
;Hidekazu Ikeno (author) (Search by this author)Osaka Metropolitan University;Masamichi Harada (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science;Shiro Funahashi (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials ScienceTakashi Takeda (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science
;
Naoto Hirosaki (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science - Keyword
- phosphor, materials design, machine learning, luminescence, emission spectrum, Eu2+
- Date published
- 2022-11-29
- Updated at
- 2024-01-05 22:11:23 +0900
Machine learning approach for the prediction of electron inelastic mean free paths
- Journal article
- Creator
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;Xun Liu (author) (Search by this author)National Institute for Materials Science;Lihao Yang (author) (Search by this author);Zhufeng Hou (author) (Search by this author)Bo Da (author) (Search by this author)National Institute for Materials Science
;
Kenji Nagata (author) (Search by this author)National Institute for Materials Science
;
Hideki Yoshikawa (author) (Search by this author)National Institute for Materials Science
;
Shigeo Tanuma (author) (Search by this author)National Institute for Materials Science
;
;Yang Sun (author) (Search by this author)Zejun Ding (author) (Search by this author)
- Keyword
- machine learning, inelastic mean free path
- Date published
- 2021-03-24
- Updated at
- 2024-01-05 22:13:49 +0900
Supercon 2 Dataset
- Dataset
- Creator
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Foppiano, Luca (author) (Search by this author)
- Keyword
- superconductors, machine learning, dataset, tdm, materials science
- Date published
- 2022-09-10
- Updated at
- 2022-10-18 10:11:01 +0900
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
- Journal article
- Creator
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Seong-Hoon Jang (author) (Search by this author)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
;
Randy Jalem (author) (Search by this author)National Institute for Materials Science
;
Yoshitaka Tateyama (author) (Search by this author)National Institute for Materials Science
- Keyword
- all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
- Date published
- 2024-08-05
- Updated at
- 2024-10-10 16:30:52 +0900
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
- Journal article
- Creator
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JALEM Randy (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
;
TATEYAMA Yoshitaka (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
;
TAKADA Kazunori (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group, National Institute for Materials Science
;
JANG Seonghoon (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
- Keyword
- all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
- Date published
- 2023-09-07
- Updated at
- 2024-08-28 08:30:15 +0900
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
- Journal article
- Creator
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Foppiano Luca (author) (Search by this author)MaDIS, NIMS
;
Baptista de Castro, Pedro (author) (Search by this author)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
MANA, NIMS
;
Ortiz Suarez, Pedro (author) (Search by this author)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
Data and Web Science Group, University of Mannheim
;
Terashima, Kensei (author) (Search by this author)
;
Takano, Yoshihiko (author) (Search by this author)
;
Ishii, Masashi (author) (Search by this author)
https://orcid.org/0000-0002-7721-9735
(unauthenticated)
MaDIS, NIMS
- Keyword
- tdm, machine learning, materials science, superconductors, database
- Date published
- 2022-09-15
- Updated at
- 2022-10-16 01:44:51 +0900
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- Journal article
- Creator
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Daisuke Ogawa (author) (Search by this author)National Institute for Materials Science
;
Yuma Iwasaki (author) (Search by this author)National Institute for Materials Science
;
Jun Uzuhashi (author) (Search by this author)National Institute for Materials Science
;
Yuta Sasaki (author) (Search by this author)National Institute for Materials Science
;
;Masato Kotsugi (author) (Search by this author)Yukiko K. Takahashi (author) (Search by this author)National Institute for Materials Science
- Keyword
- heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
- Date published
- 2025-06-23
- Updated at
- 2025-07-11 08:30:48 +0900
Self-Energy Spectroscopy and Artificial Neural Network
- Journal article
- Creator
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Youhei Yamaji (author) (Search by this author)
- Keyword
- machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
- Date published
- 2025-03-15
- Updated at
- 2025-02-27 12:30:42 +0900