Machine learning topological phases – Condensed Matter Theory and Metamaterials | ETH Zurich
Katiuscia Cassemiro on Twitter: "We are pleased to offer this hands-on guide that elucidates key operational aspects of machine learning and how to apply it for tackling condensed-matter problems. Thanks to @giactorlai
DPhil in Condensed Matter Physics | University of Oxford
KITP
Learning Matter: Materials Design with Machine Learning and Atomistic Simulations | Accounts of Materials Research
Frontiers | Applications and Techniques for Fast Machine Learning in Science
Machine learning phases of matter | Nature Physics
PDF] Learning the electronic density of states in condensed matter | Semantic Scholar
Machine Learning for Condensed Matter Theory - YouTube
Using machine learning to better understand how water behaves
Machine learning opens new avenues in condensed matter physics research | Science | University of Waterloo
Condensed Matter | Free Full-Text | Substrate Effect on the Thermal Expansion of 2D Materials: An Investigation by Machine Learning Interatomic Potentials
Summer School #Machine Learning | CRC183
Condensed Matter Physics – The Intelligence of Information
condensed-matter-physics · GitHub Topics · GitHub
The Hitchhiker's Guide to Condensed Matter and Statistical Physics: Machine Learning for Condensed M - YouTube
Machine Learning Archives - IFIMAC - Condensed Matter Physics Center
Machine learning and neural networks recognize exotic insulating phases in quantum materials
PDF) Machine learning meets condensed matter | Eric Howard - Academia.edu
A machine-learning revolution – Physics World
Machine learning in condensed matter physics – Condensed Matter Theory and Metamaterials | ETH Zurich