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https://github.com/santoshkumarradha/pyquestaal

Python class to interface with QUESTAAL Quantum codes which is a suite of electronic structure programs.
https://github.com/santoshkumarradha/pyquestaal

ase atomic-simulation-environment condensed-matter-physics dft electronic-structure gw physics pymatgen python qsgw questaal

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Python class to interface with QUESTAAL Quantum codes which is a suite of electronic structure programs.

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# PyQUESTAAL

[![DOI](https://zenodo.org/badge/258655688.svg)](https://zenodo.org/badge/latestdoi/258655688)

This is a calculator class that has been written to interface calculations done using [QUESTAAL](http://questaal.org) with highthroughput calculators like [ASE](https://wiki.fysik.dtu.dk/ase/).

>Note: The module can be used as a stand alone python controller for questaal jobs as well.

### Features

- make symmetry line files supported by QUESTAAL on the fly with a given structure
- plot bands directly *(requires plotquestaal.py)*
- relaxations included
- can read forces from output files
- Control number of processors

### Installation
1. Copy the files lmf.py to the working directory
2. Import them and use !
3. Make sure "lmf" is recognizable in the path and also modify the type of mpi call. default "mpirun"

### Examples
Simple example usage shown in [simple_examples.ipynb](https://github.com/santoshkumarradha/pyquestaal/blob/pyquestaal/simple_example.ipynb)
Comprehensive example shown in [ tutorial_example.ipynb](https://github.com/santoshkumarradha/pyquestaal/blob/pyquestaal/tutorial_example.ipynb)

To use it with ASE, one can do something like
```python
from lmf import lmf #load the lmf calculator
import numpy as np
from ase.io import read
from ase.units import kJ
from ase.eos import EquationOfState
from ase import Atoms
from ase.io.trajectory import Trajectory
def test():
a = 4.0 # approximate lattice constant
b = a / 2
ag = Atoms('Ag',
cell=[(0, b, b), (b, 0, b), (b, b, 0)],
pbc=1,
calculator=lmf()) # Use QUESTAAL's LMF as calculator
cell = ag.get_cell()
traj = Trajectory('Ag.traj', 'w')
for x in np.linspace(0.95, 1.05, 5):
ag.set_cell(cell * x, scale_atoms=True)
ag.get_potential_energy()
traj.write(ag)

configs = read('Ag.traj@0:5') # read 5 configurations
# Extract volumes and energies:
volumes = [ag.get_volume() for ag in configs]
energies = [ag.get_potential_energy() for ag in configs]
eos = EquationOfState(volumes, energies)
v0, e0, B = eos.fit()
print(B / kJ * 1.0e24, 'GPa')
eos.plot('Ag-eos.png')
test()
```
### Citation

If you find this work useful, please cite using
```
@misc{https://doi.org/10.5281/zenodo.4292415,
doi = {10.5281/ZENODO.4292415},
url = {https://zenodo.org/record/4292415},
author = {Radha, Santosh Kumar},
title = {pyQuestaal: An python interface or Questaal quantum codes.},
publisher = {Zenodo},
year = {2020},
copyright = {Open Access}
}
```

### To Do
- control over all variables
- Interface with pyamtgen
- Add the developed lattice relaxation module which uses Genetic Algorithm
- Make more standalone
- More complex parser for questaal output (look for questaal-reader repo)