Abstract book of Annual Meeting of the Japan Society of Vacuum and Surface Science
Online ISSN : 2434-8589
Annual Meeting of the Japan Society of Vacuum and Surface Science 2019
Session ID : 1Ea04
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High-throughput preparation, evaluation and analysis for multinary bulk MI
*Kenjiro FUJIMOTOakihisa AIMI
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Abstract

Materials explorations using materials informatics mainly consists of a combination of computational chemistry and machine learning. In order to be added to the vast data extracted from research papers and to accumulate big data under unified experimental conditions, we have to develop high-throughput preparation, evaluation and analysis system. In this presentation, I would like to show the exploration of multi-element materials exploration in bulk system which is heterogeneous reaction.

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© 2019 The Japan Society of Vacuum and Surface Science
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