Dataset for "Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12"

This dataset contains the computational data and analysis for the paper "Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12". It includes input and output files for the density functional theory (DFT) calculations, performed using VASP. Data extraction relies on the vasppy Python module (https://github.com/bjmorgan/vasppy, https://doi.org/10.5281/zenodo.801663), available under the MIT licence.

Subjects:

Cite this dataset as:
Squires, A., Scanlon, D., Morgan, B., 2019. Dataset for "Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00691.

Export

[QR code for this page]

Data

native_defects_in_llzo.tar.gz
application/gzip (3GB)
Creative Commons: Attribution-Share Alike 4.0

Creators

David O Scanlon
University College London; Hazara University; Diamond Light Source

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

All calculations were performed using VASP. Input files for each calculation are contained within the dataset.

Data processing and preparation activities:

Relevant data were extracted using the included `vasppy_summary` script available as part of the `vasppy` Python module (https://github.com/bjmorgan/vasppy). Analysis of extracted data available at https://github.com/alexsquires/native_defects_in_llzo.

Methodology link:

Squires, A., Scanlon, D., and Morgan, B., 2019. Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12. American Chemical Society (ACS). Available from: https://doi.org/10.26434/chemrxiv.9031346.v3.

Documentation Files

llzo_data.md
text/plain (5kB)

Markdown readme for dataset

Funders

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

PhD Studentship

Faraday Institute Call - Multi-Scale Modelling
FIRG003

Dr B Morgan URF - Modelling Collective Lithium-Ion Dynamics in Battery Materials
UF130329

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

Materials Chemistry High End Computing Consortium
EP/L000202/1

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

Design and high throughput microwave synthesis of Li-ion battery materials
EP/N001982/1

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

(Iso)alloxazine incorporating electrodes as high-performance organic energy storage materials
EP/P00315X/1

Publication details

Publication date: 23 December 2019
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00691

URL for this record: https://researchdata.bath.ac.uk/id/eprint/691

Related papers and books

Squires, A. G., Scanlon, D. O., and Morgan, B. J., 2019. Native Defects and Their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12. Chemistry of Materials, 32(5), 1876-1886. Available from: https://doi.org/10.1021/acs.chemmater.9b04319.

Related datasets and code

Squires, A., and Morgan, B., 2019. Analysis for: Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12. GitHub. Available from: https://github.com/alexsquires/native_defects_in_llzo.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Benjamin Morgan

Departments:

Faculty of Science
Chemistry