A description of cifkit
Project description
cifkit
- preprocess .cif files for high-throuhgput processing
- move, copy, filter files based on a comprehensive set of attributes such as coordination number, elements, tags
- determine nearest neighbor and coordination environments at each site
- facilitate the plotting of polyhedrons and
Overview
cifkit provides two primary objects: Cif
and CifEnsemble
.
-
Cif
: Initializes with a.cif
file path. It parses the .cif file, preprocesses ill-formatted files, generates supercells, and computes nearest neighbors. It also determines coordination numbers using four different methods and generates polyhedrons for each site. -
CifEnsemble
: Initializes with a folder path containing.cif
files. It identifies unique attributes, such as space groups and elements, across the .cif files, moves and copies files based on these attributes. It generates histograms for all attribute.
Motivation
- High throughput analysis tools using
.cif
files for research. The tools analyze bonding distances, site analysis, and coordination numbers. - Each tool requires preprocesing, formatting, copying, moving, and sorting .cif files.
- To streamline the above tasks, I developed
cifkit
that can be easily imported for the above tasks.
Documentation
Please see the tutorial provided here (TBA).
Installation
To run locally:
pip install -e .
Developer
Sangjoon Bob Lee (@bobleesj)
MkDocs
pip install mkdocstrings
pip install mkdocstrings-python
pip install mkdocs
pip install mkdocs-material
pip install mkdocs-jupyter
mkdocs serve
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