demo-orowan

This repository hosts a Jupyter notebook demonstrator that is based on an ontological framework. This framework is structured around the Platform MaterialDigital Core Ontology (PMDco), Tensile Test Ontology (TTO), and Precipitate Geometry Ontology (PGO). This approach allows for a nuanced exploration and demonstration of an exemplary Orowan correlation in materials science. This example is provided by the PMD core team.

Citation

If you reuse or modify any content from this repository, please cite the following publication:

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

@article{bayerlein2024SemanticIntegration,
  title = {Semantic integration of diverse data in materials science: Assessing {O}rowan strengthening},
  author = {Bayerlein, Bernd and Schilling, Markus and von Hartrott, Philipp and Waitelonis, J{\"o}rg},
  journal = {Scientific Data},
  volume = {11},
  number = {434},
  year = {2024},
  publisher = {Nature Publishing Group},
  doi = {10.1038/s41597-024-03169-4}
}

Bayerlein, B., Schilling, M., von Hartrott, P. et al. Semantic integration of diverse data in materials science: Assessing Orowan strengthening. Sci Data 11, 434 (2024). https://doi.org/10.1038/s41597-024-03169-4

More Information

For more information on these ontologies and the underlying framework, please visit:

• PMDco: Platform MaterialDigital Core Ontology.
• The publication detailing PMDco can be found here: PMD Core Ontology: Achieving semantic interoperability in materials science
• TTO: Tensile Test Ontology
• PGO: Precipitate Geometry Ontology

Repository Contents

• TEM_Data.rdf: Contains RDF graph data representing the DF-TEM image analysis.
• TEM_Data_Addition.rdf: Provides additional RDF graph data derived from Delaunay triangulation.
• Tensile_Test_Data.rdf: Contains RDF graph data representing the performed tensile tests.
• orowan_mechanism_demo.ipynb: This is the Orowan correlation Jupyter notebook demonstrator.
• demo-orowan_RDF_graph_data: This is the joint RDF graph.