Work by the collaboration has been reviewed in the Journal Club for Condensed Matter Physics. There, Chandra Varma discusses recent numerical works aimed at detecting two-level systems in glasses. In particular, a newly developed machine-learning approach can dramatically speed up the numerical search for these tunneling defects which are found to be increasingly rare with increasing glass stability.
Read more in Nature Communications, the Journal of Chemical Physics and Physical Review Letters.