Project Grant Summary

The University of Oklahoma's Office of Research Administration received a $300,000 Project Grant from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded July 1, 2026, with completion targeted for June 30, 2031. This CAREER award will develop a FAIR-aligned (Findable, Accessible, Interoperable, and Reusable) cyberinfrastructure platform that integrates ontology-driven knowledge representation with physics-informed artificial intelligence to enable automated materials discovery and design across multiple scales. The project will deliver an open-source framework combining semantic web technologies (RDF, OWL, JSON-LD, SPARQL) with explainable AI techniques to construct a unified knowledge graph that organizes fragmented materials science datasets encompassing composition, processing, structure, and properties.

The deliverables include modular, extensible ontologies for multi-scale materials data; semantic web-based software tools and platforms; curated, open-source datasets; and a formal framework supporting both machine learning and rule-based reasoning for materials innovation. The project emphasizes workforce development by training students in semantic web technologies, data science, and materials informatics, with computational support from Amazon AWS enabling scalable and reproducible research. By establishing interoperable infrastructure and releasing tools and datasets under open-source licenses, this initiative will foster collaboration across materials science, artificial intelligence, and biomedical research domains.