Auto-generated Database of Semiconductor Band Gaps Using ChemDataExtractor is a materials database containing experimental values for semiconductor band gaps. The dataset was auto-generated using the ChemDataExtractor tool by Qingyang Dong. The dataset is listed as Open Access on the paperswithcode platform.
Use Cases
- Predicting semiconductor properties based on experimental band gap values.
- Training machine learning models for materials discovery using extracted chemical data.
- Validating computational band gap calculations against a collection of experimental measurements.
- Analyzing trends in semiconductor band gaps across different material compositions.
Strengths
- Dataset is auto-generated using the ChemDataExtractor tool, suggesting a systematic extraction method.
- The dataset is listed as Open Access, indicating no access restrictions.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Qingyang Dong
- Collection Method
- Auto-generated using ChemDataExtractor.