JDFT_2D is a dataset related to two-dimensional materials, published on the paperswithcode platform. The dataset is authored by Kamal Choudhary and is licensed under an Open Access (green) license. The specific content, scale, and features require verification after download.
Use Cases
- Predicting electronic properties of 2D materials (inferred from domain, verify after download)
- Training machine learning models for materials discovery (inferred from domain, verify after download)
- Benchmarking computational methods for material property calculation (inferred from domain, verify after download)
Strengths
- Published on the paperswithcode platform, which is associated with machine learning research.
- Authored by a known contributor, Kamal Choudhary.
- Licensed under an Open Access (green) license, facilitating reuse.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file format, and last update date are unknown, which may limit suitability assessment.
Provenance
- Source
- Kamal Choudhary