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Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19
We combined the group theory and data mining approach within the Organic Materials Database that leads to the prediction of stable Dirac-point nodes within the electronic band structure of three-dimensional organic crystals. We find a particular space group P2(1)2(1)2(1) (#19) that is conducive to t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544778/ https://www.ncbi.nlm.nih.gov/pubmed/28779142 http://dx.doi.org/10.1038/s41598-017-07374-7 |
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author | Geilhufe, R. Matthias Borysov, Stanislav S. Bouhon, Adrien Balatsky, Alexander V. |
author_facet | Geilhufe, R. Matthias Borysov, Stanislav S. Bouhon, Adrien Balatsky, Alexander V. |
author_sort | Geilhufe, R. Matthias |
collection | PubMed |
description | We combined the group theory and data mining approach within the Organic Materials Database that leads to the prediction of stable Dirac-point nodes within the electronic band structure of three-dimensional organic crystals. We find a particular space group P2(1)2(1)2(1) (#19) that is conducive to the Dirac nodes formation. We prove that nodes are a consequence of the orthorhombic crystal structure. Within the electronic band structure, two different kinds of nodes can be distinguished: 8-fold degenerate Dirac nodes protected by the crystalline symmetry and 4-fold degenerate Dirac nodes protected by band topology. Mining the Organic Materials Database, we present band structure calculations and symmetry analysis for 6 previously synthesized organic materials. In all these materials, the Dirac nodes are well separated within the energy and located near the Fermi surface, which opens up a possibility for their direct experimental observation. |
format | Online Article Text |
id | pubmed-5544778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55447782017-08-09 Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 Geilhufe, R. Matthias Borysov, Stanislav S. Bouhon, Adrien Balatsky, Alexander V. Sci Rep Article We combined the group theory and data mining approach within the Organic Materials Database that leads to the prediction of stable Dirac-point nodes within the electronic band structure of three-dimensional organic crystals. We find a particular space group P2(1)2(1)2(1) (#19) that is conducive to the Dirac nodes formation. We prove that nodes are a consequence of the orthorhombic crystal structure. Within the electronic band structure, two different kinds of nodes can be distinguished: 8-fold degenerate Dirac nodes protected by the crystalline symmetry and 4-fold degenerate Dirac nodes protected by band topology. Mining the Organic Materials Database, we present band structure calculations and symmetry analysis for 6 previously synthesized organic materials. In all these materials, the Dirac nodes are well separated within the energy and located near the Fermi surface, which opens up a possibility for their direct experimental observation. Nature Publishing Group UK 2017-08-04 /pmc/articles/PMC5544778/ /pubmed/28779142 http://dx.doi.org/10.1038/s41598-017-07374-7 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 Geilhufe, R. Matthias Borysov, Stanislav S. Bouhon, Adrien Balatsky, Alexander V. Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 |
title | Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 |
title_full | Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 |
title_fullStr | Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 |
title_full_unstemmed | Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 |
title_short | Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19 |
title_sort | data mining for three-dimensional organic dirac materials: focus on space group 19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544778/ https://www.ncbi.nlm.nih.gov/pubmed/28779142 http://dx.doi.org/10.1038/s41598-017-07374-7 |
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