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Quantifying hexagonal stacking in diamond
Diamond is a material of immense technological importance and an ancient signifier for wealth and societal status. In geology, diamond forms as part of the deep carbon cycle and typically displays a highly ordered cubic crystal structure. Impact diamonds, however, often exhibit structural disorder i...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637244/ https://www.ncbi.nlm.nih.gov/pubmed/31316094 http://dx.doi.org/10.1038/s41598-019-46556-3 |
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author | Murri, Mara Smith, Rachael L. McColl, Kit Hart, Martin Alvaro, Matteo Jones, Adrian P. Németh, Péter Salzmann, Christoph G. Corà, Furio Domeneghetti, Maria C. Nestola, Fabrizio Sobolev, Nikolay V. Vishnevsky, Sergey A. Logvinova, Alla M. McMillan, Paul F. |
author_facet | Murri, Mara Smith, Rachael L. McColl, Kit Hart, Martin Alvaro, Matteo Jones, Adrian P. Németh, Péter Salzmann, Christoph G. Corà, Furio Domeneghetti, Maria C. Nestola, Fabrizio Sobolev, Nikolay V. Vishnevsky, Sergey A. Logvinova, Alla M. McMillan, Paul F. |
author_sort | Murri, Mara |
collection | PubMed |
description | Diamond is a material of immense technological importance and an ancient signifier for wealth and societal status. In geology, diamond forms as part of the deep carbon cycle and typically displays a highly ordered cubic crystal structure. Impact diamonds, however, often exhibit structural disorder in the form of complex combinations of cubic and hexagonal stacking motifs. The structural characterization of such diamonds remains a challenge. Here, impact diamonds from the Popigai crater were characterized with a range of techniques. Using the MCDIFFaX approach for analysing X-ray diffraction data, hexagonality indices up to 40% were found. The effects of increasing amounts of hexagonal stacking on the Raman spectra of diamond were investigated computationally and found to be in excellent agreement with trends in the experimental spectra. Electron microscopy revealed nanoscale twinning within the cubic diamond structure. Our analyses lead us to propose a systematic protocol for assigning specific hexagonality attributes to the mineral designated as lonsdaleite among natural and synthetic samples. |
format | Online Article Text |
id | pubmed-6637244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66372442019-07-25 Quantifying hexagonal stacking in diamond Murri, Mara Smith, Rachael L. McColl, Kit Hart, Martin Alvaro, Matteo Jones, Adrian P. Németh, Péter Salzmann, Christoph G. Corà, Furio Domeneghetti, Maria C. Nestola, Fabrizio Sobolev, Nikolay V. Vishnevsky, Sergey A. Logvinova, Alla M. McMillan, Paul F. Sci Rep Article Diamond is a material of immense technological importance and an ancient signifier for wealth and societal status. In geology, diamond forms as part of the deep carbon cycle and typically displays a highly ordered cubic crystal structure. Impact diamonds, however, often exhibit structural disorder in the form of complex combinations of cubic and hexagonal stacking motifs. The structural characterization of such diamonds remains a challenge. Here, impact diamonds from the Popigai crater were characterized with a range of techniques. Using the MCDIFFaX approach for analysing X-ray diffraction data, hexagonality indices up to 40% were found. The effects of increasing amounts of hexagonal stacking on the Raman spectra of diamond were investigated computationally and found to be in excellent agreement with trends in the experimental spectra. Electron microscopy revealed nanoscale twinning within the cubic diamond structure. Our analyses lead us to propose a systematic protocol for assigning specific hexagonality attributes to the mineral designated as lonsdaleite among natural and synthetic samples. Nature Publishing Group UK 2019-07-17 /pmc/articles/PMC6637244/ /pubmed/31316094 http://dx.doi.org/10.1038/s41598-019-46556-3 Text en © The Author(s) 2019 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 Murri, Mara Smith, Rachael L. McColl, Kit Hart, Martin Alvaro, Matteo Jones, Adrian P. Németh, Péter Salzmann, Christoph G. Corà, Furio Domeneghetti, Maria C. Nestola, Fabrizio Sobolev, Nikolay V. Vishnevsky, Sergey A. Logvinova, Alla M. McMillan, Paul F. Quantifying hexagonal stacking in diamond |
title | Quantifying hexagonal stacking in diamond |
title_full | Quantifying hexagonal stacking in diamond |
title_fullStr | Quantifying hexagonal stacking in diamond |
title_full_unstemmed | Quantifying hexagonal stacking in diamond |
title_short | Quantifying hexagonal stacking in diamond |
title_sort | quantifying hexagonal stacking in diamond |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637244/ https://www.ncbi.nlm.nih.gov/pubmed/31316094 http://dx.doi.org/10.1038/s41598-019-46556-3 |
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