Several Gagliardi Group members have collaborated on a recent JCTC publication, “Automation of Active Space Selection for Multireference Methods via Machine Learning on Chemical Bond Dissociation.”Postdoc WooSeok Jeong, former graduate student Sam Stoneburner, and Laura designed a project aimed at popularizing CASSCF by making it easier to select good active spaces. In collaboration with first-year graduate student Daniel King, undergraduate Andrew Walker, visiting undergraduate Ruye Li from Tsinghua University, and Professor Roland Lindh from Uppsala University, they developed a machine learning protocol that performs an automated selection of active spaces for chemical bond dissociation calculations of main group diatomic molecules.