High throughput calculations for a dataset of bilayer materials

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 struc...

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Main Authors: Ranjan Kumar Barik, Lilia M. Woods
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02146-7
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author Ranjan Kumar Barik
Lilia M. Woods
author_facet Ranjan Kumar Barik
Lilia M. Woods
author_sort Ranjan Kumar Barik
collection DOAJ
description 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.
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spelling doaj.art-699f099cff1d491986692874058530cd2023-04-23T11:09:11ZengNature PortfolioScientific Data2052-44632023-04-0110111210.1038/s41597-023-02146-7High throughput calculations for a dataset of bilayer materialsRanjan Kumar Barik0Lilia M. Woods1Department of Physics, University of South FloridaDepartment of Physics, University of South FloridaAbstract 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.https://doi.org/10.1038/s41597-023-02146-7
spellingShingle Ranjan Kumar Barik
Lilia M. Woods
High throughput calculations for a dataset of bilayer materials
Scientific Data
title High throughput calculations for a dataset of bilayer materials
title_full High throughput calculations for a dataset of bilayer materials
title_fullStr High throughput calculations for a dataset of bilayer materials
title_full_unstemmed High throughput calculations for a dataset of bilayer materials
title_short High throughput calculations for a dataset of bilayer materials
title_sort high throughput calculations for a dataset of bilayer materials
url https://doi.org/10.1038/s41597-023-02146-7
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