Application of Machine Learning to Materials Informatics: A Case Study on the Prediction of Gallium Crystal Structures

Abstract

Materials Informatics is a research and development field that applies information science technologies to materials development, aiming to discover new materials and improve the efficiency of materials design. In this presentation, we introduce an application of machine learning to materials informatics through a case study on the prediction of gallium crystal structures. We also discuss future challenges and prospects in this field.