Efficient materials development utilizing the combination of thin-film growth techniques and machine learning approaches toward energy applications

Machine learning is attracting increased attention in the research field of novel materials 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 materials development utilizing the combination of thin-film technologies and machine learning approaches are provided. Our methods using machine learning approaches were achieved to more efficient materials development, and would be able to be used for the exploration of novel thermoelectric materials. (author)