Description
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.
| Date made available | 23 Dec 2019 |
|---|---|
| Publisher | University of Bath |
Research output
- 1 Article
-
Native Defects and their Doping Response in the Lithium Solid Electrolyte Li7La3Zr2O12
Squires, A., Scanlon, D. O. & Morgan, B., 10 Mar 2020, In: Chemistry of Materials. 32, 5, p. 1876-1886 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile59 Link opens in a new tab Citations (SciVal)412 Downloads (Pure)
Projects
- 3 Finished
-
Faraday Institute Call - Multi-Scale Modelling
Islam, S. (PI) & Morgan, B. (CoI)
Engineering and Physical Sciences Research Council
1/03/18 → 30/06/21
Project: Research council
-
Dr B Morgan URF - Modelling Collective Lithium-Ion Dynamics in Battery Materials
Morgan, B. (PI)
1/10/14 → 30/09/19
Project: Research council
-
Materials Chemistry High End Computing Consortium
Islam, S. (PI)
1/11/13 → 31/10/18
Project: Research council
Cite this
- DataSetCite