For a list of my research articles, please refer to my papers on the arXiv or to my Google Scholar profile.

My research focuses on theoretical condensed matter physics, and recently started to include state-of-the-art techniques from machine learning. 

As example, consider the prominent concept of phase transitions in condensed matter physics. Given only experimental or numerical data, and no knowledge of the underlying physics, a pair of cooperating networks can autonomously find a phase transition!