キーワード: machine learning
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49 件のレコードが見つかりました。

ジャーナル論文
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
ジャーナル論文
著者
Hiroyuki Tanaka (author) (この著者で検索)
Nagoya University a Graduate School of Engineering
;
Kentaro Kutsukake (author) (この著者で検索)
;
Kota Asakura (author) (この著者で検索)
;
Takuto Kojima (author) (この著者で検索)
;
Xin Liu (author) (この著者で検索)
;
Noritaka Usami (author) (この著者で検索)
キーワード
Optimization, machine learning, genetic algorithm, crystal growth, process informatics
刊行年月日
2025-12-31
更新時刻
2026-02-27 12:30:07 +0900
jmca2024_NaSulfideConductor_esi_rj.pdf
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
ジャーナル論文
著者
Seong-Hoon Jang (author) (この著者で検索)
ORCID ;
Randy Jalem (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yoshitaka Tateyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
刊行年月日
2024-08-05
更新時刻
2024-10-10 16:30:52 +0900
Ti2023_template-sahara-v3.docx
Theoretical investigation of oxidation mechanism in Ti and its alloys
プロシーディングス論文
著者
Ryoji Sahara (author) (この著者で検索)
National Institute for Materials Science Research Center for Structural Materials/Materials Evaluation Field/Computational Structural Materials Group
ORCID SAMURAI ;
Somesh Kr. Bhattacharya (author) (この著者で検索)
National Institute for Materials Science Research Center for Structural Materials/Design and Producing Field/Computational Structural Materials Group
;
Kanika Kohli (author) (この著者で検索)
Indian Institute of Science Education and Research Pune
;
Prasenjit Ghosh (author) (この著者で検索)
Indian Institute of Science Education and Research Pune
;
Kyosuke Ueda (author) (この著者で検索)
Tohoku Univ.
;
Takayuki Narushima (author) (この著者で検索)
Tohoku Univ.
キーワード
high temperature oxidation, parabolic rate constant, first principles calculations, machine learning, electronegativity
刊行年月日
更新時刻
2024-10-18 16:30:37 +0900
d2ma00881e.pdf
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)
National Institute for Materials Science Research and Services Division of Materials Data and Integrated System
ORCID SAMURAI ;
Hidekazu Ikeno (author) (この著者で検索)
Osaka Metropolitan University
;
Masamichi Harada (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
;
Shiro Funahashi (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
;
Takashi Takeda (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
ORCID SAMURAI ;
Naoto Hirosaki (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
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
jpsj.94.031005.pdf
Self-Energy Spectroscopy and Artificial Neural Network
ジャーナル論文
著者
ORCID SAMURAI
キーワード
machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
刊行年月日
2025-03-15
更新時刻
2025-02-27 12:30:42 +0900
2025 ogawa APL final.pdf
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)
National Institute for Materials Science
ORCID SAMURAI ;
Yuma Iwasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Jun Uzuhashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yuta Sasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masato Kotsugi (author) (この著者で検索)
;
Yukiko K. Takahashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
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
Abstract for 7th Academic Collaboration Seminar.pdf
Data-driven approaches for designing thermal insulating materials
プレゼンテーション
著者
Yen-Ju Wu (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 Inorganic Materials Group
ORCID SAMURAI ;
Yibin Xu (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 Inorganic Materials Group
ORCID SAMURAI
キーワード
Interfacial thermal resistance, machine learning, thermal insulator, data-driven technique
刊行年月日
更新時刻
2024-12-25 16:30:37 +0900
Abstract_YenJu Wu.docx
Designing Thermal Insulating thin films with Data-Driven Innovation
プレゼンテーション
著者
Yen-Ju Wu (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 Inorganic Materials Group
ORCID SAMURAI ;
Yibin Xu (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 Inorganic Materials Group
ORCID SAMURAI
キーワード
Interfacial thermal resistance, machine learning, thermal insulator, thin film
刊行年月日
更新時刻
2025-03-12 16:30:31 +0900
Automatic extraction of materials and properties from superconductors scientific literature.pdf
Automatic extraction of materials and properties from superconductors scientific literature
ジャーナル
著者
Luca Foppiano (author) (この著者で検索)
NIMS MaDIS
ORCID ;
Pedro Baptista Castro (author) (この著者で検索)
NIMS MANA
ORCID ;
Pedro Ortiz Suarez (author) (この著者で検索)
University of Mannheim Data and Web Science Group
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Materials informatics, superconductors, machine learning, NLP, TDM
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:12:53 +0900
Dataset
Supercon 2 Dataset
データセット
著者
ORCID
キーワード
superconductors, machine learning, dataset, tdm, materials science
刊行年月日
2022-09-10
更新時刻
2022-10-18 10:11:01 +0900