Skip to main content

A small Python wrapper for Quantum Espresso - still in development

Project description

Ninia

A small Python wrapper for setting up Quantum Espresso input files. More functionality may be added later.

Currently, there is only assumed support for hexagonal close packed (HCP) crystal structures. Support for other structures may be tested but should not be expected.

Note: The calc.create_bash() function (described later) assumes a Torque/PBS structure and sets up script to run in parallel using MPI. It also assumes an already built Quantum Espresso package and that pw.x can be run from the command-line.

For tips on how to install Quantum Espresso on an HPC cluster, go to Espresso Installation.


Behind the Name

Ninia - Coffee Snake

Ninia is a genus of snakes, also known as coffee snakes, that are native to parts of Central and South America. The choice of name is a play on Python and Quantum Espresso.


Example usage:

# Import necessary modules:
from ase.build import molecule, add_adsorbate, hcp0001
from ase.visualize import view

# Set up geometry using ASE:
surface = hcp0001('Ru', size=(4, 2, 4), a=2.7059, c=4.2815)
ad = molecule('NH2')
ad.rotate(180, 'x')
add_adsorbate(surface, ad, 2.0, 'hcp')

view(surface, viewer='x3d')  # Specific viewer for use in Jupyter

This will display a view of the geometry we have created. More information about ASE (Atomic Simulation Environment) can be found at their homepage: https://wiki.fysik.dtu.dk/ase/

Then you can start using ninia to convert this geometry into an input file:

from ninia import relax
calc = relax.Relax(prefix='Ru_test', functional='beef')
calc.set_directories(outputdir='/home/ajs0201/workQE/output',
                     pseudodir='/home/ajs0201/workQE/pseudo')
# Ninia assumes the current script directory as the input directory
# if none is given.
calc.load_geometry(surface)
calc.set_parameters(mixing_beta=0.15)

calc.create_input()
calc.create_job(hours=20)
# This will create both an input (.i) file and bash (.sh) for the geometry above

If you do not specify the prefix and functional during the initialization step, the program will give warnings. Additionally, the pseudopotential directory must be set before the calc.load_geometry() step.

In the calc.set_directories() step, you can set the following directories:

  • The directory to place input and bash files (inputdir)
  • The directory to place output files created by Quantum Espresso (outputdir)
  • The directory that contains pseudopotentials relevant to the calculation (pseudodir)

Note: The output directory, post calculation, will contain wave function files (.wfc) and save directories (.save/). This does not include output files (.out), which will be place in the input directory, unless explicitly changed.

In the calc.set_parameters() step, you can set the following parameters [default]:

  • Plane wave cutoff energy (ecutwfc) [30.0]
  • Plane wave cutoff density (ecutrho) [4*ecutwfc]
  • Convergence threshold (conv_thr) [1e-8]
  • Electron mixing beta (mixing_beta) [0.7]
  • Number of k-points (k_points) [[4, 4, 4, 0, 0, 0]]
  • Functional (functional) [beef]

In the calc.create_job() step, you can set the following parameters [default]:

  • Job type [pbs.sh] (other option slurm.sh)
  • Partition/queue [general]
  • Memory used by calculation in GB (memory) [50]
  • Number of CPUs used by calculation (cpus) [8]
  • Walltime allowed for execution in hours (hours) [30]

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ninia-0.0.89.tar.gz (20.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ninia-0.0.89-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file ninia-0.0.89.tar.gz.

File metadata

  • Download URL: ninia-0.0.89.tar.gz
  • Upload date:
  • Size: 20.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for ninia-0.0.89.tar.gz
Algorithm Hash digest
SHA256 d0d5658bd597c057244412e3fe7a6748825e6d6a76ad75ac9d488b5d8b2a1c96
MD5 b858d5cee7dd06baabfbee59b778f4b6
BLAKE2b-256 f1e608be115c240b5c27e659c20000c3d8072b040d08caaae728519bde537ef5

See more details on using hashes here.

File details

Details for the file ninia-0.0.89-py3-none-any.whl.

File metadata

  • Download URL: ninia-0.0.89-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for ninia-0.0.89-py3-none-any.whl
Algorithm Hash digest
SHA256 d468109b02f1cef714dbbcf37d867448ac945f78a5152690e602ad42a5a0b7ef
MD5 9ac9cd79bfdf2458ed828b48f498af4c
BLAKE2b-256 8554c60639d0f7038fafee09b1805084afa73fd6d2d2bb7cdab795cfb037bff1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page