Li7La3Zr2O12: Native Defects and Doping Response from DFT Calculations

Computational data and analysis from the paper 'Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12'. Input and output files for density functional theory calculations performed using VASP are included. Data extraction relies on the vasppy Python module, available under an MIT licence.

Use Cases

• Analyze defect formation energies in Li7La3Zr2O12 based on the provided DFT calculation outputs.
• Study the doping response of the solid electrolyte based on the computational data.
• Validate or compare DFT methodologies using the shared VASP input and output files.
• Extend analysis using the vasppy Python module mentioned in the description.

Strengths

• Data is directly associated with a published scientific paper, providing context.
• Includes both input and output files for the VASP DFT calculations.
• Data extraction is supported by a specific, cited Python module (vasppy).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Alexander G. Squires, University of Bath

Collection Method

Density functional theory calculations performed using VASP.