Research data supporting "General embedded cluster protocol for accurate modeling of oxygen vacancies in metal-oxides"
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Shi, B., Kapil, V., Zen, A., Chen, J., Alavi, A., & Michaelides, A. (2022). Research data supporting "General embedded cluster protocol for accurate modeling of oxygen vacancies in metal-oxides" [Dataset]. https://doi.org/10.17863/CAM.83268
This dataset accompanies the paper: "General embedded cluster protocol for accurate modeling of oxygen vacancies in metal-oxides" published in the Journal of Chemical Physics (doi: 10.1063/5.0087031). In the folder '02-Simulation_Data', it contains the input and output files for all of the calculations shown in the main text and supplementary material of the paper. Additionally, The Jupyter notebook 'analyse_data.ipynb' is provided to analyse the data to reproduce the plotted graphs in the main text and supplementary material.
This dataset has been compressed into a .zip archive. The analysis scripts are provided into the form of Jupyter notebooks - https://jupyter.org Input and output files are provided for the following simulation codes: MRCC 2020 - https://www.mrcc.hu ORCA 5.0 - https://orcaforum.kofo.mpg.de VASP 6.0 - https://www.vasp.at
Catalysis, Defects, Density functional theory, Coupled cluster, Embedded cluster
Publication Reference: https://doi.org/10.1063/5.0087031
This record's DOI: https://doi.org/10.17863/CAM.83268
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/