Modular Ontology-Driven Data Capturing for Machine Learning-Assisted Supported Catalytically Active Metal Solutions Design
Employing the modular ontology modelling approach to capture experimental data from various researchers. The data is used for machine learning training for SCLAMS catalyst discovery.
Institutions
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-14
- DOI
- https://doi.org/10.5281/zenodo.17409409
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00