JSAP Review
Online ISSN : 2437-0061
Research Report
Efficient material development using a combination of thin-film growth techniques and machine-learning approaches in energy applications
Isao Ohkubo Masahiro Goto
著者情報
ジャーナル オープンアクセス

2022 年 2022 巻 論文ID: 220401

詳細
抄録

Machine learning is increasingly attracting attention in the research field of novel material development. Among the various material preparation methods, thin-film technology is actively used in various fundamental researches, industries, and applications for preparing thin films of various types of materials and nanostructured materials. In this article, our recent researches concerning novel material development using a combination of thin-film technologies and machine-learning approaches are presented. Our material development methods with the use of machine-learning approaches achieved more efficient material development compared to previous methods and can be used for the exploration of novel thermoelectric materials.

著者関連情報
© 2022 The Author(s)

Content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
https://creativecommons.org/licenses/by/4.0/
前の記事 次の記事
feedback
Top