@@ -4,8 +4,7 @@ This python package helps you create orthogonal grain boundary supercells for at
# Overview
There are two main scripts: [_csl_generator.py_](./csl_generator.py) and [_gb_generator.py_](./csl_generator.py) which you need to use in this order to produce the final grain boundary (GB) structure. These scripts are both modules (a collection of functions/classes) and can be executed
from the command line.
In this README I will explain the steps to use the code in the Linux Terminal and I have also attached two _jupyter notebooks_ ([Usage_of_GB_code.ipynb](./Usage_of_GB_code.ipynb), [Dichromatic_pattern_CSL.ipynb](./Dichromatic_pattern_CSL.ipynb)) which describe how the code can be accessed and used in the notebooks by various examples. These notebooks have extra functionality. The former is for the general usage of the code with some tips to locate GBs of interest, the latter depicts how CSL construction can be used for different purposes.
In this README I will explain the steps to use the code in the Terminal and I have also attached two _jupyter notebooks_ ([Usage_of_GB_code.ipynb](./Usage_of_GB_code.ipynb), [Dichromatic_pattern_CSL.ipynb](./Dichromatic_pattern_CSL.ipynb)) in the Test directory which describe how the code can be accessed and used in the notebooks by various examples. These notebooks have extra functionality. The former is for the general usage of the code with some tips to locate GBs of interest, the latter depicts how CSL construction can be used for different purposes.
You can use [this link](https://mybinder.org/v2/gh/oekosheri/GB_code/master) for an interactive Jupyter notebook environment provided by Binder. [](https://mybinder.org/v2/gh/oekosheri/GB_code/master)
To use it locally, you will need python3 and numpy1.14 for the main scripts and additionally matplotlib and pandas to use the auxilliary Jupyter notebooks.
