Two papers published in PRB

It’s my pleasure to annouce that as of last week, both of the papers we worked on last year have been published in Phys. Rev. B:

• [4] Phys. Rev. B 99, 060404(R) (2019)
  JG, Ke Liu, and Lode Pollet: Probing hidden spin order with interpretable machine learning.
• [5] Phys. Rev. B 99, 104410 (2019)
  Ke Liu, JG, and Lode Pollet: Learning multiple order parameters with interpretable machines.

The Rapid Communication was even selected as an Editors’ Suggestion, giving it a few days of exposure on PRB’s home page:

Along with the second paper which investigates the use of multiclassification, we have made the corresponding source codes openly available under the terms of the GNU General Public License version 3. An extensive README file explains how to build, use, and extend our codes to reproduce our findings, or even adapt the framework to your own simulations. (If you intend to do the latter, please feel free to reach out to us, though.)

Source Code on GitLab Source Code on GitHub