A neural-network technique can exploit the power of machine learning to mine the exponentially large data sets characterizing the state space of condensed-matter systems. Topological transitions and many-body localization are first on the list.
- Evert P. L. van Nieuwenburg
- Ye-Hua Liu
- Sebastian D. Huber
