The Atomistic Cookbook

The cookbook contains recipes for atomic-scale modelling for materials and molecules, with a particular focus on machine learning and statistical sampling methods. Most of the examples rely heavily on software developed by the laboratory of computational science and modeling (COSMO, see its github page) but the cookbook is open for recipes using all types of modeling tools and techniques. Rather than focusing on the usage of a specific package, this cookbook provides concrete examples of the solution of modeling problems, often using a combination of several tools.

You can view the recipes online, compiled as webpages containing explanations, code snippets, plots and interactive viewers based on chemiscope. However, it is also possible (and hopefully simple) to download scripts, and conda environments, to run the recipe on your computer. You can use these as a starting point and a template that can be easily adapted to your own use case.

Table of contents

• Recipes grouped by topic
• Recipes grouped by software used
• List of all recipes
• Downloading and running the recipes
• Contributing a recipe

Recipe of the day

Want to try something new? Each day, one of the recipes in the cookbook is highlighted on the front page. There is one to suit everyone’s taste!