Oyo Buturi
Online ISSN : 2188-2290
Print ISSN : 0369-8009
Fundamental Lecture
Investigation of crystalline interface using machine learning
Teruyasu MIZOGUCHI
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2019 Volume 88 Issue 11 Pages 745-749

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Abstract

Owing to the recent trend of "Materials Informatics", we can easily access excellent databases that provide a variety of information on materials. In contrast, such databases provide only single crystal bulk information, and do not provide information on lattice defects. The group of the present authors succeeded in dramatically improving the process of determining the crystal interface structures using machine learning techniques such as virtual screening, Bayesian optimization, and transfer learning. This paper will introduce the results of our studies.

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© 2019 The Japan Society of Applied Physics
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