Machine Learning in Condensed Matter and Materials Physics

Explore the application of machine learning methods in simulating matter's building blocks, from electronic to molecular-level structures, in this 56-minute video from the Alan Turing Institute. Discover how these tools have enhanced computational methods like density functional theory and molecular dynamics simulation, and learn about their potential to generate new physical insights that could lead to the engineering of exotic materials.

Nature Reviews Physics: Machine learning in condensed matter and materials physics