Physical and chemical property data for Li-ion silicate cathodes, used to classify batteries by their crystal system. The dataset is sourced from the openml platform and is published under a permissive CC0-1.0 license. Its specific size, update history, and authorship are not detailed in the provided metadata.
Use Cases
- Predicting battery crystal system class (monoclinic, orthorhombic, triclinic) based on physical properties.
- Training classification algorithms for materials science applications using tabular property data.
- Analyzing the relationship between chemical composition and crystal structure in Li-ion battery cathodes.
Strengths
- Dataset is explicitly designed for classification tasks involving three crystal system classes.
- Published under a CC0-1.0 license, allowing for broad reuse and distribution.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and dataset scale are unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.