beatmap | BET surface area analysis from adsorption data

by PMEAL Python Version: 0.3.0 License: MIT

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kandi X-RAY | beatmap Summary

beatmap is a Python library. beatmap has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install beatmap' or download it from GitHub, PyPI.

Obtaining surface area of a porous sample from the interpretation of gas adsorption isotherms is very widely done using the theory developed by Brunauer, Emmett, and Teller in the 1950s. The BET (or BEaT) theory is so commonly place that the acronym has is synonymous with surface area. The BET theory was derived with several assumptions, and these must be met for the predicted surface area to be valid. Rouquerol et al have put forth criteria to evaluate whether isothermal adsoprtion data meets the assumptions of BET analysis. Applying these criteria to all relative pressure ranges of an isotherm allows one to eliminate relative pressure ranges that do not adhere to BET theory. Visualizing the results of BET analysis as a heatmap where "invalid" relative pressure ranges are masked provides a quick and comprehensive representation of BET results for an isotherm. BEaTmap was developed as a conceptulization and vizualization tool for BET analysis utilizing the "Rouquerol criteria".

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Support

beatmap has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 348 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of beatmap is 0.3.0

Quality

beatmap has no bugs reported.

Security

beatmap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

beatmap is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

beatmap releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed beatmap and discovered the below as its top functions. This is intended to give you an instant insight into beatmap implemented functionality, and help decide if they suit your requirements.

Create pandas dataframe .
Create ASCII tables from the results .
Run beatmap analysis .
Plot the betcomputed betas .
Function to plot the bet combo plot .
Calculate the betas .
Import adsorbate data .
Generate a mask for a ROQ curve .
Create an iso combo plot .
Import data from adsorbate .

Get all kandi verified functions for this library.

beatmap Key Features

No Key Features are available at this moment for beatmap.

beatmap Examples and Code Snippets

No Code Snippets are available at this moment for beatmap.

Community Discussions

No Community Discussions are available at this moment for beatmap.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install beatmap

BEaTmap depends heavily on the Scipy Stack. The best way to get a fully functional environment is the Anaconda distribution. Be sure to get the Python 3.6+ version.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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