Review of machine learning applications for crystal growth research

Abstract

The application of information science and technology has led to a paradigm shift in scientific and technological research and crystal growth is no exception. Various types of application research have been conducted, and research methods that combine real experiments and simulations with information techniques are becoming increasingly complex. In this paper, I focus on the application of information science and technology to the field of crystal growth. In the first half, I discuss the characteristics of process informatics, including applications to crystal growth, from the perspective of how it differs from materials informatics. In the second half, by reviewing various application studies to crystal growth, I aim to highlight the characteristics and discuss future issues.