High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory

Abstract We introduce a simple criterion to identify two-dimensional (2D) materials based on the comparison between experimental lattice constants and lattice constants mainly obtained from Materials-Project (MP) density functional theory (DFT) calculation repository. Specifically, if the relative d...

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Main Authors: Kamal Choudhary, Irina Kalish, Ryan Beams, Francesca Tavazza
Format: Article
Language:English
Published: Nature Portfolio 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05402-0
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author Kamal Choudhary
Irina Kalish
Ryan Beams
Francesca Tavazza
author_facet Kamal Choudhary
Irina Kalish
Ryan Beams
Francesca Tavazza
author_sort Kamal Choudhary
collection DOAJ
description Abstract We introduce a simple criterion to identify two-dimensional (2D) materials based on the comparison between experimental lattice constants and lattice constants mainly obtained from Materials-Project (MP) density functional theory (DFT) calculation repository. Specifically, if the relative difference between the two lattice constants for a specific material is greater than or equal to 5%, we predict them to be good candidates for 2D materials. We have predicted at least 1356 such 2D materials. For all the systems satisfying our criterion, we manually create single layer systems and calculate their energetics, structural, electronic, and elastic properties for both the bulk and the single layer cases. Currently the database consists of 1012 bulk and 430 single layer materials, of which 371 systems are common to bulk and single layer. The rest of calculations are underway. To validate our criterion, we calculated the exfoliation energy of the suggested layered materials, and we found that in 88.9% of the cases the currently accepted criterion for exfoliation was satisfied. Also, using molybdenum telluride as a test case, we performed X-ray diffraction and Raman scattering experiments to benchmark our calculations and understand their applicability and limitations. The data is publicly available at the website http://www.ctcms.nist.gov/~knc6/JVASP.html.
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spelling doaj.art-cf7ceb3464a94a8cad0d53c3123d99c32022-12-21T22:56:12ZengNature PortfolioScientific Reports2045-23222017-07-017111610.1038/s41598-017-05402-0High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theoryKamal Choudhary0Irina Kalish1Ryan Beams2Francesca Tavazza3Materials Science and Engineering Division, National Institute of Standards and TechnologyMaterials Science and Engineering Division, National Institute of Standards and TechnologyMaterials Science and Engineering Division, National Institute of Standards and TechnologyMaterials Science and Engineering Division, National Institute of Standards and TechnologyAbstract We introduce a simple criterion to identify two-dimensional (2D) materials based on the comparison between experimental lattice constants and lattice constants mainly obtained from Materials-Project (MP) density functional theory (DFT) calculation repository. Specifically, if the relative difference between the two lattice constants for a specific material is greater than or equal to 5%, we predict them to be good candidates for 2D materials. We have predicted at least 1356 such 2D materials. For all the systems satisfying our criterion, we manually create single layer systems and calculate their energetics, structural, electronic, and elastic properties for both the bulk and the single layer cases. Currently the database consists of 1012 bulk and 430 single layer materials, of which 371 systems are common to bulk and single layer. The rest of calculations are underway. To validate our criterion, we calculated the exfoliation energy of the suggested layered materials, and we found that in 88.9% of the cases the currently accepted criterion for exfoliation was satisfied. Also, using molybdenum telluride as a test case, we performed X-ray diffraction and Raman scattering experiments to benchmark our calculations and understand their applicability and limitations. The data is publicly available at the website http://www.ctcms.nist.gov/~knc6/JVASP.html.https://doi.org/10.1038/s41598-017-05402-0
spellingShingle Kamal Choudhary
Irina Kalish
Ryan Beams
Francesca Tavazza
High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
Scientific Reports
title High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
title_full High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
title_fullStr High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
title_full_unstemmed High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
title_short High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
title_sort high throughput identification and characterization of two dimensional materials using density functional theory
url https://doi.org/10.1038/s41598-017-05402-0
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