From Data Science to Materials Data Science

In the previous chapter, we saw that data science has ancient roots in many disciplines. For example, it is closely related to statistical theory and mathematics, data visualization, machine learning and artificial intelligence, and computer science and programming. Domain knowledge plays a special role: it is a great source for interesting datasets and problems, which, on the other hand, can also benefit greatly from data analysis. In this chapter, we will give an overview of materials science problems that have been successfully addressed using machine learning approaches, for example. We will also discuss the specifics of materials science data and shed light on the often repeated phrase “turning data into knowledge.”