New Publication in npj Computational Materials
Our work entitled “An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery” has been published in npj Computational Materials. We introduced a recipe for a data-driven strategy to speed up the virtual screening of two-dimensional (2D) materials and to accelerate the discovery of new candidates with targeted physical and chemical properties. As a proof of concept, we generated new 316,505 likely stable 2D materials and predicted their key physical properties. Check out our Virtual 2D materials database (V2DB)!