aronwalsh/MLforMaterials
Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)
This is an online course resource designed for senior undergraduate or junior postgraduate students in materials science. It teaches you how to apply machine learning to material theory and simulation problems. You'll learn to prepare materials composition-structure-property data, build and evaluate predictive models, and understand recent AI advancements in the field.
135 stars.
Use this if you are a materials science student or researcher with basic Python knowledge looking to apply machine learning to understand and predict material properties.
Not ideal if you are an absolute beginner to programming or are looking for a general machine learning course outside of materials science applications.
Stars
135
Forks
18
Language
Jupyter Notebook
License
CC0-1.0
Category
Last pushed
Feb 07, 2026
Commits (30d)
0
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