porE 1.0.7

Porosity Evaluation tool

porE

PORosity Evaluation tool

Main developer:

• Kai Trepte (KT, [e-mail])
• Sebastian Schwalbe (SS, [e-mail])

Installation (global pip installation)

$ pip3 install porE

Installation (local pip installation)

$ git clone https://gitlab.com/kaitrepte/porE.git
$ cd porE
$ pip3 install -e .

Running the code

There are several calculations types one can choose from:

• HEA : He approach.
  Calculates the He void fraction using a cell list approach.

• OSA : Overlapping sphere approach.
  Calculates the porosity via two-body overlaps of spheres.

• GPA : Grid point approach.
  Void and accessible porosity are calculated using a grid in the unit cell.

• PSD : Pore size distribution.
  Using a Monte-Carlo scheme, the pore size distribution is calculated.

To run the code, go to the examples folder.
The file run_porE.py contains examples for the
execution on the non-GUI level.
The file run_GUI.py will execute the graphical
user interface, including the OSA, GPA and PSD functionalities.
The HEA will be implemented soon.

Special thanks goes to Sebastian Schwalbe for writing the GUI and for many other useful discussions.

Additional information

The basic outline of the porE code and its applications are summarized in

• K. Trepte and S. Schwalbe, Systematic Analysis of Porosities in Metal-Organic Frameworks
• ChemRxiv, DOI: 10.26434/chemrxiv.10060331.v1, 2019
• ChemRxiv, DOI: 10.26434/chemrxiv.10060331.v2, 2020
• ChemRxiv, DOI: 10.26434/chemrxiv.10060331.v3, 2020

Please also see the published version in the Journal of Computational Chemistry (JCC)

• Trepte, K, Schwalbe, S. porE: A code for deterministic and systematic analyses of porosities. J Comput Chem. 2021; 42: 630-643. https://doi.org/10.1002/jcc.26484

We create some YouTube videos to introduce and explain the porE code

• Introduction
• Tutorial

Reference results

Several results from porE are summarized in the porE/results folder (Status: Early 2021).