Published May 31, 2025 | Version v4

Data and code for "Quantifying Dynamic Tilting in Halide Perovskites: Chemical Trends and Local Correlations"

  • 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)

Name Size Download all
md5:dd72ddacfd9ee69d9a134430fe1bcd23
9.0 kB Download
md5:141395c989e1924b9947cf7c946eed08
128.7 kB Download
md5:c84c6b1165317da6d856065be39ffa33
1.1 kB Download
md5:bbbfcf8014d1342dcb38d2f2e6b7b054
2.7 kB Download
md5:9c8b9618d28cfe12fa902128d0ee9346
2.7 kB Download
md5:e550708e8359ca6e74a56cd6c77dcf19
2.7 kB Download
md5:f3dd151be331944e86130d47e2ee448b
1.6 kB Download
md5:ce7ec6a689624bc7b69dbcb7d093f332
1.6 kB Download
md5:1ef7e4f507b3057934bee952b221119f
46.1 MB Download
md5:9633d4bbec3993f9255f961cdbd1eda1
1.1 kB Download
md5:4ce5ea2d2d62b0ed9b94a0db1367113e
2.7 kB Download
md5:2ae9b3db9c9243700630ef0e1f31bef6
2.7 kB Download
md5:4eb9507b481b1966a94b8485dc6353c5
2.7 kB Download
md5:6c092f703c56526fa07c4a4ae257daac
1.6 kB Download
md5:1fd2d776cb5bb6e53ea3597207c3e698
1.7 kB Download
md5:cbbf20a3aa4e9fb6829f8499a524e1ee
45.7 MB Download
md5:af5f4c44f8a8c0d3675ed13eb1a40ced
1.1 kB Download
md5:491475fde716be8b8402ab1437985506
2.7 kB Download
md5:16d1a662ba145c477332d47b9a2b3924
2.7 kB Download
md5:679c5af0fa19d62059e8111ec0bcbb84
2.7 kB Download
md5:8c9465de08eb130c5cff26c671fc3db8
1.6 kB Download
md5:e4538c74b20c0d3fdee1032d521b67bd
1.6 kB Download
md5:0267379e8ddc428f1bb92ac78d6f1045
49.3 MB Download
md5:f0d3c851c1da5e5c2bd213b3be286a92
157 Bytes Download
md5:2ad8cf8736a116ef5d9b02b01d12d432
738 Bytes Download
md5:1d43ff6c66708045618c5e93930efae5
55.6 kB Preview Download
md5:d6b09fa8fc0328c1f4db5dea050abcc9
55.6 kB Preview Download
md5:6c1c53678cc15da21d37ef93fb65ef34
55.6 kB Preview Download
md5:88d88f8c1ca59998de7a40de0c32dfc5
313 Bytes Download

Additional details

Related works

Is supplement to
Publication: 10.1021/acs.chemmater.3c00933 (DOI)
Preprint: 10.48550/arXiv.2304.07402 (DOI)