EUROPEAN CONGRESS AND EXHIBITION ON ADVANCED MATERIALS AND PROCESSES - EUROMAT 2021

Research data paired with Artificial Intelligence (AI) enable of a new level, a new quality of science. The ultimate goal in our research domain is to predict novel candidate materials for a given application, possibly even in regions of the materials space that no-one would think of. A real breakthrough is, however, only possible if a few key prerequisites are brought together: Big Data – the relevant data – reliable data – novel AI tools with predictive power, all combined in a FAIR data sharing platform. In 2014, the Novel Materials Discovery (NOMAD) Laboratory set out to make this happen for computational materials science. For reaching the ultimate goal, data from synthesis, experiment, and theory must be brought together. I’ll review where we are on this road.