Semantic integration of diverse data in materials science: Assessing Orowan strengthening

This article discusses a study published in “Scientific Data” which uses Semantic Web technologies to integrate diverse datasets in materials science, focusing on the mechanical and microstructural properties of aluminum alloys. Researchers constructed a knowledge graph using the Tensile Test and Precipitate Geometry Ontologies aligned with the PMD Core Ontology, which enabled sophisticated data analysis and insights into Orowan strengthening—a mechanism that describes material strengthening through dislocations interacting with precipitates.

For a more detailed summary and insights, you can read the full article on Nature: