Co cluster DFT-surface: Cobalt Cluster Surface Properties from Density Functional Theory

Co cluster DFT-surface is a dataset published on figshare by Carl Brozek. It likely contains computational chemistry data, such as structural or electronic properties, derived from Density Functional Theory (DFT) calculations for cobalt clusters on surfaces. The dataset was last updated on 2026-05-26 and is licensed under CC-BY-4.0.

Use Cases

• Training machine learning potentials for cobalt cluster stability (inferred from domain, verify after download)
• Benchmarking DFT methods for transition-metal surface interactions (inferred from domain, verify after download)
• Screening cobalt cluster geometries for catalytic activity (inferred from domain, verify after download)

Strengths

• Published on figshare with a CC-BY-4.0 license, enabling open reuse.
• Dataset size is 3.0 MB, indicating a focused and manageable download.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Carl Brozek via figshare.

Collection Method

Likely generated via computational Density Functional Theory (DFT) simulations.

Freshness

Last updated 2026-05-26 18:23:18.