Materials Resources

Courses, teaching materials, and learning resources for materials informatics.

Courses

Machine Learning for Materials

aronwalsh.github.io/MLforMaterials 

Institution: Imperial College London | Level: Graduate

Introduction to statistical research tools for materials theory and simulation.

Topics covered:

• Regression and classification
• Feature engineering for materials
• Neural network potentials
• Uncertainty quantification

Teaching Materials

Materials Informatics

github.com/sp8rks/MaterialsInformatics 

Taylor Sparks (Utah) — ML for materials discovery course materials.

ML for Materials (Walsh)

github.com/aronwalsh/MLforMaterials 

Aron Walsh (ICL) — Statistical tools for materials simulation.

Self-Driving Labs

Self-Driving Labs Demo

github.com/sparks-baird/self-driving-lab-demo 

Hands-on introduction to autonomous laboratory concepts with working demonstrations.

Note: Self-driving labs represent the cutting edge of AI in science. Make sure you have solid foundations in both ML and domain knowledge before diving deep.

Blogs