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

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...

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Autores principales: Choudhary, Kamal, Kalish, Irina, Beams, Ryan, Tavazza, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507937/
https://www.ncbi.nlm.nih.gov/pubmed/28701780
http://dx.doi.org/10.1038/s41598-017-05402-0
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author Choudhary, Kamal
Kalish, Irina
Beams, Ryan
Tavazza, Francesca
author_facet Choudhary, Kamal
Kalish, Irina
Beams, Ryan
Tavazza, Francesca
author_sort Choudhary, Kamal
collection PubMed
description 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 pubmed-55079372017-07-14 High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory Choudhary, Kamal Kalish, Irina Beams, Ryan Tavazza, Francesca Sci Rep Article 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. Nature Publishing Group UK 2017-07-12 /pmc/articles/PMC5507937/ /pubmed/28701780 http://dx.doi.org/10.1038/s41598-017-05402-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Choudhary, Kamal
Kalish, Irina
Beams, Ryan
Tavazza, Francesca
High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507937/
https://www.ncbi.nlm.nih.gov/pubmed/28701780
http://dx.doi.org/10.1038/s41598-017-05402-0
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