Present status of the materials informarics and its challenge for future materials science

Abstract

　In recent years, material informatics that combines material science and data science attracts attention. From the experience and lesson on bioinformatics, we tried to apply concepts and tools developed there to materials science. Conventional material informatics promotes material development by combining computational science, high-throughput material synthesis and evaluation, and a database that stores material data. However, recently, new material development using data science, machine learning and deep learning are underway. Here, we introduce the current situation on Materials Informatics of several countries and overview the trends concerning Materials Informatics in the future.