Skip to main content

Core data structures for Quantum Chemistry.

Project description

QCElemental

Build Status codecov Documentation Status Chat on Slack python

Documentation: GitHub Pages

Core data structures for Quantum Chemistry. QCElemental also contains physical constants and periodic table data from NIST and molecule handlers.

Periodic Table and Physical Constants data are pulled from NIST srd144 and srd121, respectively (details) in a renewable manner (class around NIST-published JSON file).

This project also contains a generator, validator, and translator for Molecule QCSchema.

✨ Getting Started

  • Installation. QCElemental supports Python 3.10+ starting with v0.50 (aka "next", aka "QCSchema v2 available").

    python -m pip install qcelemental
    
    conda install qcelemental -c conda-forge
    
  • To install QCElemental with molecule visualization capabilities (useful in iPython or Jupyter notebook environments):

    python -m pip install 'qcelemental[viz]`
    
  • To install QCElemental with various alignment capabilities using networkx

    python -m pip install 'qcelemental[align]`
    
  • Or install both:

    python -m pip install 'qcelemental[viz,align]`
    
  • See documentation

Periodic Table

A variety of periodic table quantities are available using virtually any alias:

>>> import qcelemental as qcel
>>> qcel.periodictable.to_E('KRYPTON')
'Kr'
>>> qcel.periodictable.to_element(36)
'Krypton'
>>> qcel.periodictable.to_Z('kr84')
36
>>> qcel.periodictable.to_A('Kr')
84
>>> qcel.periodictable.to_A('D')
2
>>> qcel.periodictable.to_mass('kr', return_decimal=True)
Decimal('83.9114977282')
>>> qcel.periodictable.to_mass('kr84')
83.9114977282
>>> qcel.periodictable.to_mass('Kr86')
85.9106106269

Physical Constants

Physical constants can be acquired directly from the NIST CODATA:

>>> import qcelemental as qcel
>>> qcel.constants.Hartree_energy_in_eV
27.21138602
>>> qcel.constants.get('hartree ENERGY in ev')
27.21138602
>>> pc = qcel.constants.get('hartree ENERGY in ev', return_tuple=True)
>>> pc.label
'Hartree energy in eV'
>>> pc.data
Decimal('27.21138602')
>>> pc.units
'eV'
>>> pc.comment
'uncertainty=0.000 000 17'

Alternatively, with the use of the Pint unit conversion package, arbitrary conversion factors can be obtained:

>>> qcel.constants.conversion_factor("bohr", "miles")
3.2881547429884475e-14

Covalent Radii

Covalent radii are accessible for most of the periodic table from Alvarez, Dalton Transactions (2008) doi:10.1039/b801115j (details).

>>> import qcelemental as qcel
>>> qcel.covalentradii.get('I')
2.626719314386381
>>> qcel.covalentradii.get('I', units='angstrom')
1.39
>>> qcel.covalentradii.get(116)
Traceback (most recent call last):
...
qcelemental.exceptions.DataUnavailableError: ('covalent radius', 'Lv')
>>> qcel.covalentradii.get(116, missing=4.0)
4.0
>>> qcel.covalentradii.get('iodine', return_tuple=True).dict()
{'numeric': True, 'label': 'I', 'units': 'angstrom', 'data': Decimal('1.39'), 'comment': 'e.s.d.=3 n=451', 'doi': 'DOI: 10.1039/b801115j'}

van der Waals Radii

Van der Waals radii are accessible for most of the periodic table from Mantina, J. Phys. Chem. A (2009) doi: 10.1021/jp8111556 (details).

>>> import qcelemental as qcel
>>> qcel.vdwradii.get('I')
3.7416577284064996
>>> qcel.vdwradii.get('I', units='angstrom')
1.98
>>> qcel.vdwradii.get(116)
Traceback (most recent call last):
...
qcelemental.exceptions.DataUnavailableError: ('vanderwaals radius', 'Lv')
>>> qcel.vdwradii.get('iodine', return_tuple=True).dict()
{'numeric': True, 'label': 'I', 'units': 'angstrom', 'data': Decimal('1.98'), 'doi': 'DOI: 10.1021/jp8111556'}

Project details


Download files

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

Source Distribution

qcelemental-0.50.3.tar.gz (9.1 MB view details)

Uploaded Source

Built Distribution

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

qcelemental-0.50.3-py3-none-any.whl (364.7 kB view details)

Uploaded Python 3

File details

Details for the file qcelemental-0.50.3.tar.gz.

File metadata

  • Download URL: qcelemental-0.50.3.tar.gz
  • Upload date:
  • Size: 9.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for qcelemental-0.50.3.tar.gz
Algorithm Hash digest
SHA256 103bbd849a2f72095af0ce8cf243ff329efc39f9440706534eb84c91d7759151
MD5 5ffaf7c44171c91808285f29d04af581
BLAKE2b-256 ca2f0f0d88c70ae4a80319de4ce1291c4fa3dda47ac897d701570167eee4449c

See more details on using hashes here.

File details

Details for the file qcelemental-0.50.3-py3-none-any.whl.

File metadata

  • Download URL: qcelemental-0.50.3-py3-none-any.whl
  • Upload date:
  • Size: 364.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for qcelemental-0.50.3-py3-none-any.whl
Algorithm Hash digest
SHA256 53e7f962e083e671d76f3867ce975103ffa0037132e0bf2afbaf2b434a7204b0
MD5 04c9776207aa34b87282c2e529375c68
BLAKE2b-256 e1a1b3b0bf590d302dd1ff9832cccac2bb705a3d63359e1a238611c24ba0a735

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