Computational identification of promising thermoelectric materials among known quasi-2D binary compounds

Quasi low-dimensional structures are abundant among known thermoelectric materials, primarily because of their low lattice thermal conductivities. In this work, 427 known binary quasi-2D structures in 272 different chemistries are assessed for their thermoelectric performance and candidate thermoelectrics are proposed.