Data and code for "Quantifying Dynamic Tilting in Halide Perovskites: Chemical Trends and Local Correlations"
Authors/Creators
- 1. Chalmers University of Technology, Gothenburg, Sweden
- 2. University of Birmingham, Birmingham, UK
Description
This record contains data, scripts, and models associated with the publication "Quantifying Dynamic Tilting in Halide Perovskites: Chemical Trends and Local Correlations".
Databases
The *.db files are databases with the results from density functional theory (DFT) calculations. These are sqlite databases in ase format, see here for more information. The demo-database-access.py script illustrates the most basic access.
Models
The neuroevolution potential (NEP) models described in the publication can be found in the nep-*.txt files. They can be used in conjunction with the GPUMD package. The calorine package provides a Python interface to GPUMD.
Primitive structures
Several primitive structures in extended xyz format can be found in the *.xyz files. These structures have been relaxed using the NEP models included here. The demo-for-using-structures-and-models.py script illustrates how to access the structures and models.
Tools for analyzing tilt angles
standardize-cell-orientation.py
Converts each frame in movie.xyz to the standardized cell setting and writes the resulting trajectory to movie-standardized.xyz. This is useful when working with triclinic cells.
analyze-tilt-angles-for-orthorhombic-cells.py
Analyzes the distribution of tilt angles for each frame in a trajectory. The analysis assumes that the B-B bonds are oriented along the Cartesian coordinate system either without further rotation or after a "simple" rotation of the entire cell.
angle-analysis.ovito
Ovito script that approximately implements the procedure used in analyze-tilt-angles-for-orthorhombic-cells.py.
Files
nep-CsSnBr3-CX.txt
Files
(141.4 MB)
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Additional details
Related works
- Is supplement to
- Publication: 10.1021/acs.chemmater.3c00933 (DOI)
- Preprint: 10.48550/arXiv.2304.07402 (DOI)