This library build on GQCP provides easy to work with utilities in order to perform constrained quantum chemical calculations.
Project description
GQCConstraints
GQCConstraints or GQCC for short is a python library, based on GQCP, that can be used to run several constrained quantum chemical calculations.
Constraint and symmetries are closely related and as such, applying different kind of constraints on quantum chemical calculations can lead to some very interesting insights.
Getting started
In order to get started you first of all need a working GQCP docker container
.
First install Docker. Then pull our GQCP
image to the infrastructure in question
docker pull gqcg/gqcp
Next, on top of this installation you can install GQCConstraints
pip install GQCConstraints
Documentation
The latest documentation on the API's of GQCC can be downloaded from the Github Actions page. The .pdf
file is automatically generated and saved as an artifact.
Reasearch
GQCC is a research tool first and foremost. And research for which this library is used can be found here:
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
Built Distribution
File details
Details for the file GQCConstraints-1.0.0.tar.gz
.
File metadata
- Download URL: GQCConstraints-1.0.0.tar.gz
- Upload date:
- Size: 22.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c5abde1764a0c0c96479fbc449d720d9382d11c064287a285411fec9f07c5060 |
|
MD5 | 60379bc7ee4299d8b7cdcabaf7a0c0f8 |
|
BLAKE2b-256 | b192ccdd378b70cfa824eff49cf343c5ceead7e39512f21dd8e9f301f797a7b2 |
File details
Details for the file GQCConstraints-1.0.0-py3-none-any.whl
.
File metadata
- Download URL: GQCConstraints-1.0.0-py3-none-any.whl
- Upload date:
- Size: 39.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9cb6a9577d57018a926ced1c25ee6baba0fb8725a3223f877a4e87a02f7a1035 |
|
MD5 | cea37e229bf6e588ad491fa7a8a76d60 |
|
BLAKE2b-256 | 27eab7c049043bbe26b4159f3b599b466d9bf1b3809dd4276376995b482af0aa |