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High throughput calculations for a dataset of bilayer materials

Ranjan Kumar Barik, Lilia M. Woods

2023Scientific Data19 citationsDOIOpen Access PDF

Abstract

Bilayer materials made of 2D monolayers are emerging as new systems creating diverse opportunities for basic research and applications in optoelectronics, thermoelectrics, and topological science among others. Herein, we present a computational bilayer materials dataset containing 760 structures with their structural, electronic, and transport properties. Different stacking patterns of each bilayer have been framed by analyzing their monolayer symmetries. Density functional theory calculations including van der Waals interactions are carried out for each stacking pattern to evaluate the corresponding ground states, which are correctly identified for experimentally synthesized transition metal dichalcogenides, graphene, boron nitride, and silicene. Binding energies and interlayer charge transfer are evaluated to analyze the interlayer coupling strength. Our dataset can be used for materials screening and data-assisted modeling for desired thermoelectric or optoelectronic applications.

Topics & Concepts

StackingSiliceneMonolayerBilayerMaterials scienceBilayer grapheneDensity functional theoryvan der Waals forceGrapheneThermoelectric materialsNanotechnologyCondensed matter physicsChemical physicsComputational chemistryChemistryPhysicsMoleculeBiochemistryOrganic chemistryThermal conductivityComposite materialMembraneGraphene research and applications2D Materials and ApplicationsMachine Learning in Materials Science
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