SAFT-VR-MIE EOS and SGT
Project description
SGTPy is an open-source python package of SAFT-VR-Mie Equation of State (EOS). SGTPy allows to work with pure fluids and fluid mixtures, additionally the fluids can be modeled considering association, cross-association and polar contributions. SGTPy was built on top of phasepy’s phase equilibrium and Square Gradient Theory (SGT) functions. These functions were updated to speed-up calculations of associative mixtures.
SGTPy relies on Numpy, SciPy and PhasePy.
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
SGTPy-0.0.3.tar.gz
(61.2 kB
view details)
Built Distribution
SGTPy-0.0.3-cp38-cp38-win_amd64.whl
(229.8 kB
view details)
File details
Details for the file SGTPy-0.0.3.tar.gz
.
File metadata
- Download URL: SGTPy-0.0.3.tar.gz
- Upload date:
- Size: 61.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5789ae8d7edd1bb1e2799fa48225129637a6baeeb01f06ceff01418705bc179c |
|
MD5 | 5a69227d3b7f4cabbaf18127df2c66ac |
|
BLAKE2b-256 | 6bd8075ef4dbf14d61f82ee17c1da1de7bda140d0be52dfab2a17f31e86a3171 |
Provenance
File details
Details for the file SGTPy-0.0.3-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: SGTPy-0.0.3-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 229.8 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6bc5115844155696396defdeb1834b14e74ef9604de564b660abab8e4873a59f |
|
MD5 | fab93aa8ab3eafeee2b8fb995e46de97 |
|
BLAKE2b-256 | 14247f715599cd7ad1dded161427202c25522e578e22dd102cc15fc290f979d0 |