“…High-throughput characterization techniques have been applied for metallic glasses to investigate glass forming ability, thermoplastic formability, composition, topology, and mechanical properties. However, most high-throughput studies are purely experimental, relying on trial and error (Sakurai et al, 2007(Sakurai et al, , 2011Deng et al, 2007;Aono et al, 2010Aono et al, , 2011Guo et al, 2011;Wang et al, 2011;Ding et al, 2012Ding et al, , 2014Gregoire et al, 2012;Flores, 2014, 2016;Liu et al, 2016;Bordeenithikasem et al, 2017;Li et al, , 2019Zhang et al, 2018;Zheng et al, 2019); or empirical, such as machine learning approaches (Ren et al, 2018). In recent years, we combined ab initio calculations with high-throughput characterization techniques.…”