A Python implementation of Hybrid Reverse Monte Carlo for atomistic modeling from electron total scattering
Project description
About
pyHRMC is designed for HRMC simulations using experimental electron pair distribution functions as a primary constraint. This packagerelies heavily and uses code from pymatgen, which is released under the MIT license.
Full documentation can be found at https://ehrhardtkm.github.io/pyHRMC/
Installation
Prior to installing pyHRMC, LAMMPS must be installed and built in serial. Additionally, if using a FLARE potential, LAMMPS must be compiled with FLARE. Instructions for these steps can be found at these links:
To install pyHRMC, first create a virtual environment:
conda create -n pyHRMC pip python==3.11
conda activate pyHRMC
Installation can then be performed in the new environment. pyHRMC is currently available on PyPi for pip install:
pip install pyhrmc
If users desire to modify the code from their own needs, we recommend the following steps instead:
conda create -n pyHRMC pip python==3.11
conda activate pyHRMC
git clone https://github.com/ehrhardtkm/pyHRMC.git
cd pyHRMC
pip install -e .
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