“…For example, Zhuang et al predicted the novel MA 2 Z 4 (M = Cr, Mo, W; A = Si, Ge; and Z = N, P) monolayers and the graphene/borophene heterostructures by using a method of machine learning of interatomic potentials combined ab initio datasets. Some excellent physical properties, such as high carrier mobility, adjustable band gap, intrinsic magnetic characteristics, good mechanical properties, and excellent thermoelectric performance, have been found in these materials, which allow these materials to show outstanding application potential in a variety of fields, such as photocatalysis, , optoelectronic devices, energy materials, , spin quantum devices, etc.…”