However, if the data becomes FAIR, 3 i.e., Findable, Accessible, Interoperable, and Reusable and open, i.e., generally accessible after publication, machines can systematically analyse this information beyond the boundaries of a single laboratory and field of research, learn from it and develop disruptive solutions. 4 A particularly sustainable generation of insight is achieved through the use of interpretable AI algorithms that uncover descriptors, i.e., correlations between key physical parameters and the material properties and functions.