| Name | polykin JSON |
| Version |
0.5.7
JSON |
| download |
| home_page | None |
| Summary | A polymerization kinetics library. |
| upload_time | 2025-08-24 09:52:54 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10.0 |
| license | MIT License Copyright (c) 2022 HugoMVale Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
kinetics
polymer
polymerization
reaction
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# PolyKin
[](https://github.com/HugoMVale/polykin/actions)
[](https://codecov.io/gh/HugoMVale/polykin)
[](https://deepwiki.com/HugoMVale/polykin)
PolyKin is an open-source polymerization kinetics library for Python. It is still at an early
development stage, but the following modules can already be used:
- Activity coefficient models
- [x] Ideal solution
- [x] Flory-Huggins
- [x] NRTL
- [ ] Poly-NRTL
- [x] UNIQUAC
- [x] Wilson
- Copolymerization
- [x] Implicit penultimate model
- [x] Penultimate model
- [x] Terminal model
- [x] Mayo-Lewis equation (binary, ternary and multicomponent)
- [x] Monomer drift equation (binary and multicomponent)
- [x] Fitting methods
- Equations of state
- [50%] Cubic (Redlich-Kwong, Soave, Peng-Robinson)
- [x] Ideal gas
- [ ] Sanchez-Lacombe
- [x] Virial equation
- [ ] Database
- Distributions
- [x] Flory
- [x] Log-normal
- [x] Poison
- [x] Schulz-Zimm
- [x] Weibull-Nycander-Gold
- Kinetics
- [x] Arrhenius
- [x] Eyring
- [x] Propagation half-length
- [x] Termination composite model
- Math
- [x] Joint confidence regions
- [ ] Models
- Physical property correlations
- [x] Antoine
- [x] DIPPR
- [x] Wagner
- [x] Yaws
- Step-growth polymerization
- [x] Analytical solutions for $M_n$ and $M_w$
- Transport properties (estimation methods, mixing rules, etc.)
- Diffusivity
- [x] Binary gas mixtures
- [x] Binary liquid mixtures
- [x] Binary polymer solutions
- [ ] Multicomponent polymer solutions
- Thermal conductivity
- [x] Gases
- [x] Liquids
- [ ] Polymer solutions
- Viscosity
- [x] Gases
- [x] Liquids
- [ ] Polymer solutions
## Documentation
Please refer to the package [homepage](https://hugomvale.github.io/polykin/).
## Tutorials
The main features of PolyKin are explained and illustrated through a series of [tutorials](https://hugomvale.github.io/polykin/tutorials/) based on Jupyter [notebooks](https://github.com/HugoMVale/polykin/tree/main/docs/tutorials),
which can be launched online via Binder.
<p align="center">
<a href="https://github.com/HugoMVale/polykin">
<img src="https://raw.githubusercontent.com/HugoMVale/polykin/8e54e0b492b4dd782c2fe92b52f617dda71a29b3/docs/deconvolution.svg" width=600 alt="MWD of a polymer blend">
</a>
</p>
## Installation
PolyKin currently runs on Python>=3.10. You can install it from PyPI via `pip` (or `uv`):
```console
pip install polykin
# uv add polykin
```
Alternatively, you may install it directly from the source code repository:
```console
pip install git+https://github.com/HugoMVale/polykin.git
# uv add git+https://github.com/HugoMVale/polykin.git
```
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"description": "# PolyKin\n\n[](https://github.com/HugoMVale/polykin/actions)\n[](https://codecov.io/gh/HugoMVale/polykin)\n\n[](https://deepwiki.com/HugoMVale/polykin)\n\nPolyKin is an open-source polymerization kinetics library for Python. It is still at an early\ndevelopment stage, but the following modules can already be used:\n\n- Activity coefficient models\n - [x] Ideal solution\n - [x] Flory-Huggins\n - [x] NRTL\n - [ ] Poly-NRTL\n - [x] UNIQUAC\n - [x] Wilson\n- Copolymerization\n - [x] Implicit penultimate model\n - [x] Penultimate model\n - [x] Terminal model\n - [x] Mayo-Lewis equation (binary, ternary and multicomponent)\n - [x] Monomer drift equation (binary and multicomponent)\n - [x] Fitting methods\n- Equations of state\n - [50%] Cubic (Redlich-Kwong, Soave, Peng-Robinson)\n - [x] Ideal gas\n - [ ] Sanchez-Lacombe\n - [x] Virial equation\n- [ ] Database\n- Distributions\n - [x] Flory\n - [x] Log-normal\n - [x] Poison\n - [x] Schulz-Zimm\n - [x] Weibull-Nycander-Gold\n- Kinetics\n - [x] Arrhenius\n - [x] Eyring\n - [x] Propagation half-length\n - [x] Termination composite model\n- Math\n - [x] Joint confidence regions\n- [ ] Models\n- Physical property correlations\n - [x] Antoine\n - [x] DIPPR\n - [x] Wagner\n - [x] Yaws\n- Step-growth polymerization\n - [x] Analytical solutions for $M_n$ and $M_w$\n- Transport properties (estimation methods, mixing rules, etc.)\n - Diffusivity\n - [x] Binary gas mixtures\n - [x] Binary liquid mixtures\n - [x] Binary polymer solutions\n - [ ] Multicomponent polymer solutions \n - Thermal conductivity\n - [x] Gases\n - [x] Liquids\n - [ ] Polymer solutions\n - Viscosity\n - [x] Gases\n - [x] Liquids\n - [ ] Polymer solutions\n\n## Documentation\n\nPlease refer to the package [homepage](https://hugomvale.github.io/polykin/).\n\n## Tutorials\n\nThe main features of PolyKin are explained and illustrated through a series of [tutorials](https://hugomvale.github.io/polykin/tutorials/) based on Jupyter [notebooks](https://github.com/HugoMVale/polykin/tree/main/docs/tutorials),\nwhich can be launched online via Binder.\n\n<p align=\"center\">\n <a href=\"https://github.com/HugoMVale/polykin\">\n <img src=\"https://raw.githubusercontent.com/HugoMVale/polykin/8e54e0b492b4dd782c2fe92b52f617dda71a29b3/docs/deconvolution.svg\" width=600 alt=\"MWD of a polymer blend\">\n </a>\n</p>\n\n## Installation\n\nPolyKin currently runs on Python>=3.10. You can install it from PyPI via `pip` (or `uv`):\n\n```console\npip install polykin\n# uv add polykin\n```\n\nAlternatively, you may install it directly from the source code repository:\n\n```console\npip install git+https://github.com/HugoMVale/polykin.git\n# uv add git+https://github.com/HugoMVale/polykin.git\n```\n",
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