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A library of ab initio Raman spectra for automated identification of 2D materials
Raman spectroscopy is frequently used to identify composition, structure and layer thickness of 2D materials. Here, we describe an efficient first-principles workflow for calculating resonant first-order Raman spectra of solids within third-order perturbation theory employing a localized atomic orbi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296020/ https://www.ncbi.nlm.nih.gov/pubmed/32541789 http://dx.doi.org/10.1038/s41467-020-16529-6 |
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author | Taghizadeh, Alireza Leffers, Ulrik Pedersen, Thomas G. Thygesen, Kristian S. |
author_facet | Taghizadeh, Alireza Leffers, Ulrik Pedersen, Thomas G. Thygesen, Kristian S. |
author_sort | Taghizadeh, Alireza |
collection | PubMed |
description | Raman spectroscopy is frequently used to identify composition, structure and layer thickness of 2D materials. Here, we describe an efficient first-principles workflow for calculating resonant first-order Raman spectra of solids within third-order perturbation theory employing a localized atomic orbital basis set. The method is used to obtain the Raman spectra of 733 different monolayers selected from the Computational 2D Materials Database (C2DB). We benchmark the computational scheme against available experimental data for 15 known monolayers. Furthermore, we propose an automatic procedure for identifying a material based on an input experimental Raman spectrum and apply it to the cases of MoS(2) (H-phase) and WTe(2) (T[Formula: see text] -phase). The Raman spectra of all materials at different excitation frequencies and polarization configurations are freely available from the C2DB. Our comprehensive and easily accessible library of ab initio Raman spectra should be valuable for both theoreticians and experimentalists in the field of 2D materials. |
format | Online Article Text |
id | pubmed-7296020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72960202020-06-19 A library of ab initio Raman spectra for automated identification of 2D materials Taghizadeh, Alireza Leffers, Ulrik Pedersen, Thomas G. Thygesen, Kristian S. Nat Commun Article Raman spectroscopy is frequently used to identify composition, structure and layer thickness of 2D materials. Here, we describe an efficient first-principles workflow for calculating resonant first-order Raman spectra of solids within third-order perturbation theory employing a localized atomic orbital basis set. The method is used to obtain the Raman spectra of 733 different monolayers selected from the Computational 2D Materials Database (C2DB). We benchmark the computational scheme against available experimental data for 15 known monolayers. Furthermore, we propose an automatic procedure for identifying a material based on an input experimental Raman spectrum and apply it to the cases of MoS(2) (H-phase) and WTe(2) (T[Formula: see text] -phase). The Raman spectra of all materials at different excitation frequencies and polarization configurations are freely available from the C2DB. Our comprehensive and easily accessible library of ab initio Raman spectra should be valuable for both theoreticians and experimentalists in the field of 2D materials. Nature Publishing Group UK 2020-06-15 /pmc/articles/PMC7296020/ /pubmed/32541789 http://dx.doi.org/10.1038/s41467-020-16529-6 Text en © The Author(s) 2020 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 Taghizadeh, Alireza Leffers, Ulrik Pedersen, Thomas G. Thygesen, Kristian S. A library of ab initio Raman spectra for automated identification of 2D materials |
title | A library of ab initio Raman spectra for automated identification of 2D materials |
title_full | A library of ab initio Raman spectra for automated identification of 2D materials |
title_fullStr | A library of ab initio Raman spectra for automated identification of 2D materials |
title_full_unstemmed | A library of ab initio Raman spectra for automated identification of 2D materials |
title_short | A library of ab initio Raman spectra for automated identification of 2D materials |
title_sort | library of ab initio raman spectra for automated identification of 2d materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296020/ https://www.ncbi.nlm.nih.gov/pubmed/32541789 http://dx.doi.org/10.1038/s41467-020-16529-6 |
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