We focus on materials ontology and data standardization technologies for the systematic sharing and utilization of materials data. We introduce trends in securing data interoperability between diverse research institutions and enterprises, and building AI-interpretable materials knowledge graphs.
As attempts to leverage AI and Big Data in materials science become increasingly prevalent, a critical prerequisite has emerged: Data Standardization. There is a common misconception that standardization is primarily…
📌 Why is Materials Ontology essential for innovation in advanced materials development? In this post, we explore how to overcome data silos, teach the "language of materials" to AI, and…