Examples of Running the Organisms Program with Run.py

Provided in the Organisms Github repository are examples of Run.py (and RunMinimisation.py, see RunMinimisation.py - Writing a Local Minimisation Function for the Genetic Algorithm for more information about this file) scripts that you can try out. Find these various examples at https://github.com/GardenGroupUO/Organisms/tree/main/Examples.

We have also developed a Jupyter notebook with some examples of various Run.py (and RunMinimisation.py) that you can play with and muck around with. The Github repository for this Jupyter notebook can be found at https://github.com/GardenGroupUO/Organisms/tree/main/Notebooks.

Along with this Jupyter notebook, we have also implemented this Jupyter notebook into Google Colabs. Google Colabs (https://colab.research.google.com) is an interactive online platform that allows you to run Jupyter notebooks on a web browser without having to set up anything. It does all the setting up on a virtual computer for you. If you want to play around with the Organisms program before you download it on your computer or if you need help when things go wrong using Organisms on your computer, Google Colabs is the best way to do this. It is recommended that you try out the Organisms program on Google Colabs if you are interested or intending on using the Organisms program.

The Google Colabs webpage can be accessed by clicking the Colabs button below:

This will load a Google Colabs page that will allow you to play about with the Organisms program interactively in Google Colabs.

Once Google Colabs has loaded, it will give you several examples for running this genetic algorithm to obtain structures of nanoparticles.

Mess around with it as much as you want!