Machine learning phases of matter

A structural approach to relaxation in glassy liquids

(2016) S. S. Schoenholz et al.   Nature Physics

Big–deep–smart data in imaging for guiding materials design

(2015) Sergei V. Kalinin et al.   NATURE MATERIALS

Big Data of Materials Science: Critical Role of the Descriptor

(2015) Luca M. Ghiringhelli et al.   PHYSICAL REVIEW LETTERS

Machine learning for many-body physics: The case of the Anderson impurity model

(2014) Louis-François Arsenault et al.   PHYSICAL REVIEW B

On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets

(2014) Aaron Gilad Kusne et al.   Scientific Reports

Practical learning method for multi-scale entangled states

(2012) Olivier Landon-Cardinal et al.   NEW JOURNAL OF PHYSICS