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Tutorial DIAMOND GA 2026
This tutorial offers a series of educational notebooks designed to introduce the application of artificial intelligence to materials science.
Through practical examples, the notebooks progressively introduce different approaches, ranging from data analysis and exploration to prediction, the discovery of causal relationships, and Bayesian optimization.
Prerequisites
To complete this tutorial, you will need one of the following:
- Apptainer installed (installation guide)
- OR have Docker installed
- OR have Python 3.10+ installed with uv and Graphviz (more information on how to install them is provided in the tutorial).
This training session was organized ahead of the DIAMOND 2026 general meeting in Lyon.
The training program was developed by Ahmed AMRANI and co-supervised by Ahmed AMRANI, Jean-Philippe POLI and Léo ORVEILLON.
The full content, along with instructions on how to do it, is available in the tutorial’s repository: link below.
GitLab: AI Training
Access the notebooks and instructions