Description
The FAIRmat Area E initiative demonstrates the value of FAIR (Findable, Accessible, Interoperable, and Reusable) data practices through targeted use-case demonstrators across diverse materials-science domains. Seven representative tasks (E1–E7) form the backbone of Area E, each illustrating how FAIRmat infrastructure supports real-world scientific workflows:
In batteries (E1), integration of experimental and computational data improves interoperability and accelerates research.
Heterogeneous catalysis (E2) efforts highlight metadata standardization and cross-institutional data sharing.
Optoelectronics (E3) use cases link device performance metrics with synthesis and characterization data.
In magnetism and spintronics (E4), full provenance tracking from fabrication to simulation ensures reproducibility.
The MOFs demonstrator (E5) showcases structure–property data integration with interactive tools.
Biophysical systems (E6) benefit from harmonized biomaterials data handling and discoverability.
An AI Toolkit (E7) enables automated metadata enrichment and intelligent search across materials datasets.
Each task supports FAIRmat’s broader mission by validating infrastructure in active research settings and enabling tailored domain-specific integration. Additional achievements include comprehensive substance tracking, chemical identifier-based search tools, and collaborative engagement via platforms like Discord. Collectively, these efforts bridge materials communities and pave the way for sustainable, FAIR-driven scientific discovery.