A Python package for efficient and automatic VTNA analysis
Project description
Auto-VTNA
Python package for performing automatic variable time normalisation analysis (VTNA).VTNA is a kinetic analysis technique that can be used to derive reaction orders from concentration-time data from experiments with different initial concentrations of reactants, catalysts, additives or products. To learn more, check out the seminal work by Dr. Jordi Burés: https://onlinelibrary.wiley.com/doi/full/10.1002/anie.201609757, https://onlinelibrary.wiley.com/doi/full/10.1002/anie.201508983 and https://pubs.rsc.org/en/content/articlelanding/2019/sc/c8sc04698k.
This work has been outlined in an open access paper: https://pubs.rsc.org/en/content/articlelanding/2024/dd/d4dd00111g. For further details on the theory behind and the package, see the ESI. For more info and user guides see https://github.com/ddalland/Auto-VTNA A YouTube tutorial can be accessed at https://www.youtube.com/watch?v=FEDwvUY1Dl4&ab_channel=DanielDalland
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file auto_vtna-1.1.3.tar.gz.
File metadata
- Download URL: auto_vtna-1.1.3.tar.gz
- Upload date:
- Size: 79.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c7d655d7c00861ba39547f894c271c92dbf42ae0315b4120b0b1d14e985742a2
|
|
| MD5 |
a99f920a5eadae9b717fca567e51c424
|
|
| BLAKE2b-256 |
b582a49d4a97bff9a7c4bd810c97ad085fbd78e9f32618609296122a5161c843
|
File details
Details for the file auto_vtna-1.1.3-py3-none-any.whl.
File metadata
- Download URL: auto_vtna-1.1.3-py3-none-any.whl
- Upload date:
- Size: 82.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
be84b54c795775f2ef200eac913b25b86742925330e7106106de4e5b1835bced
|
|
| MD5 |
c08cc78e8213e28312c868ff8a8a7634
|
|
| BLAKE2b-256 |
d35495305e6f7efe53e136aa2860d4597e07dec5f79c96e33e82572af735a98a
|
