J Molec Liq 117856 2022

Numerical data files from electrochemical measurements and DFT calculations, alongside XPS, FTIR, and SEM/EDS data from surface analysis, were collected by Velasco, Francisco J. and harvested by e-cienciaDatos. The data supports research on corrosion inhibitors for steel surfaces, as referenced in a 2022 paper. The dataset was last updated on May 5, 2024.

Use Cases

• Validate Density Functional Theory (DFT) calculations against experimental electrochemical measurements.
• Analyze surface composition and morphology of steel after inhibitor exposure using XPS, FTIR, and SEM/EDS data.
• Correlate inhibitor molecular properties from DFT with observed corrosion inhibition performance on steel.

Strengths

• Data integrates multiple experimental techniques (electrochemical, XPS, FTIR, SEM/EDS) with computational (DFT) results.
• Dataset is associated with a specific, peer-reviewed 2022 paper, providing research context.
• Last update recorded on 2024-05-05, suggesting recent metadata maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

Velasco, Francisco J., via e-cienciaDatos Harvested Dataverse

Collection Method

Electrochemical measurements, DFT calculations, and direct surface measurements (XPS, FTIR, SEM/EDS).

Time Range

Associated with a 2022 publication.

Freshness

Last updated 2024-05-05 05:35:39; freshness should be verified.

Geography

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