Krishna Rajan1

1, State University of New York at Buffalo, Buffalo, New York, United States

This presentation will provide a perspective of what is needed for the next phase of growth in the field of Materials Informatics. Terms such as machine learning, data mining, AI are often viewed as independent of the materials science paradigm. Thus many informatics studies are simply using these tools to process data and information that has already been measured or computed, which in turn are based on heuristic or theoretical constructs that were in place before the “intervention” of machine learning tools. Hence one can and should justifiably challenge if this is really “data driven discovery”! In this talk I present approaches that address this problem directly and provide examples where the research and education paradigm is working for the next generation of Materials Informatics.