Data-driven quest for two-dimensional non-van der Waals materials
Rico Friedrich, Mahdi Ghorbani-Asl, Stefano Curtarolo, Arkady V., Krasheninnikov

TL;DR
This paper uses data-driven high-throughput computational methods to identify and analyze new non-van der Waals two-dimensional materials with diverse properties and potential applications in spintronics.
Contribution
It introduces a novel screening approach for non-vdW 2D materials, expanding the known family beyond layered compounds and providing design guidelines for experiments.
Findings
Identified 8 binary and 20 ternary candidate non-vdW 2D materials.
Demonstrated the role of oxidation states in bonding strength.
Showed these materials have diverse electronic, optical, and magnetic properties.
Abstract
Two-dimensional (2D) materials are frequently associated with the sheets which form bulk layered compounds bonded by van der Waals (vdW) forces. The anisotropy and weak interaction between the sheets have also been the main criteria in the computational search for new 2D systems, which predicted about 2000 exfoliable compounds. However, several representatives of a new type of non-vdW 2D systems, such as hematene or ilmenene, which have no layered 3D analogues, and which, unlike, e.g. silicene, do not need to strongly interact with the substrate to be stable, were recently manufactured. The family of non-vdW 2D materials is an attractive playground for data-driven high-throughput approaches as computational design principles are still missing. Here, we outline a new set of 8 binary and 20 ternary candidates by filtering the AFLOW-ICSD database according to the structural prototype of…
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