ESAMP: event-sourced architecture for materials provenance management and application to accelerated materials discovery

Abstract

We present a generalizable database architecture ESAMP that captures the complete provenance associated with a material. We demonstrate this architecture and provenance based machine learning on one of the largest experimental materials databases.