| Author: | Andrew Tarzia |
|---|
A Monte Carlo-based host-guest conformer generator using cheap and unphysical potentials.
Please submit an issue with any questions or bugs!
SpinDry uses the Monte-Carlo/molecule interface provided by my other code
MCHammer (https://github.com/andrewtarzia/MCHammer)
Install using pip:
pip install spindrySpinDry implements a simple Metropolis Monte-Carlo algorithm to translate and
rotate the guest molecules.
All atom positions/bond lengths within the host and guest are kept rigid and
do not contribute to the potential energy.
The algorithm uses, by default, a simple Lennard-Jones nonbonded potential to
define the potential energy surface such that steric clashes are avoided. Atom
radii are taken from STREUSSEL (<https://github.com/hmsoregon/STREUSEL>).
Custom potential functions can also be defined now -- see
examples/custom_potential_function.py.
The default MC algorithm is as follows:
- For
stepin N steps: 1. Define a translation of the guest by a random unit-vector and a random [-1, 1) step along the that vector. 2. Define a rotation of the guest by a random [-1, 1) *
rotation_step_sizeangle and a random unit axis. 3. Compute system potentialU_nb:U_nbis the nonbonded potential, defined by the Lennard-Jones potential:U_nb = sum_i,j (epsilon_nb * ((sigma / r_ij)^12 - (sigma / r_ij)^6)), whereepsilon_nbdefines the strength of the potential,sigmadefines the position where the potential becomes repulsive andr_ijis the pairwise distance between atomsiandj.- Accept or reject move:
- Accept if
U_i<U_(i-1)orexp(-beta(U_i - U_(i-1))>R, whereRis a random number [0, 1) andbetais the inverse Boltzmann temperature. Reject otherwise.
- If
num_conformersis met, quit.
The workflow for a porous organic cage built using stk
(<https://stk.readthedocs.io/>) is shown in examples/ for a single guest
and multiple guests.
The Spinner class yields a SupraMolecule conformer. Only conformers that
pass the MC conditions are yielded. The examples in examples show how to
access the structures of these conformers as .xyz files or stk molecules.
I developed this code as a post doc in the Jelfs research group at Imperial College London (<http://www.jelfs-group.org/>, <https://github.com/JelfsMaterialsGroup>).
This code was reviewed and edited by: Lukas Turcani (<https://github.com/lukasturcani>)
This project is licensed under the MIT license.