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Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides
Binary zinc(II) oxide (ZnO) and copper(II) oxide (CuO) are used in a number of applications, including optoelectronic and semiconductor applications. However, no crystal structures have been reported for ternary Cu-Zn-O oxides. In that context, we investigated the structural characteristics and ther...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459973/ https://www.ncbi.nlm.nih.gov/pubmed/37630237 http://dx.doi.org/10.3390/molecules28165986 |
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author | Kuklin, Mikhail S. Karttunen, Antti J. |
author_facet | Kuklin, Mikhail S. Karttunen, Antti J. |
author_sort | Kuklin, Mikhail S. |
collection | PubMed |
description | Binary zinc(II) oxide (ZnO) and copper(II) oxide (CuO) are used in a number of applications, including optoelectronic and semiconductor applications. However, no crystal structures have been reported for ternary Cu-Zn-O oxides. In that context, we investigated the structural characteristics and thermodynamics of Cu(x)Zn(y)O(z) ternary oxides to map their experimental feasibility. We combined evolutionary crystal structure prediction and quantum chemical methods to investigate potential Cu(x)Zn(y)O(z) ternary oxides. The USPEX algorithm and density functional theory were used to screen over 4000 crystal structures with different stoichiometries. When comparing compositions with non-magnetic Cu(I) ions, magnetic Cu(II) ions, and mixed Cu(I)-Cu(II) compositions, the magnetic Cu(2)Zn(2)O(4) system is thermodynamically the most favorable. At ambient pressures, the thermodynamically most favorable ternary crystal structure is still 2.8 kJ/mol per atom higher in Gibbs free energy compared to experimentally known binary phases. The results suggest that thermodynamics of the hypothetical Cu(x)Zn(y)O(z) ternary oxides should also be evaluated at high pressures. The predicted ternary materials are indirect band gap semiconductors. |
format | Online Article Text |
id | pubmed-10459973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104599732023-08-27 Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides Kuklin, Mikhail S. Karttunen, Antti J. Molecules Article Binary zinc(II) oxide (ZnO) and copper(II) oxide (CuO) are used in a number of applications, including optoelectronic and semiconductor applications. However, no crystal structures have been reported for ternary Cu-Zn-O oxides. In that context, we investigated the structural characteristics and thermodynamics of Cu(x)Zn(y)O(z) ternary oxides to map their experimental feasibility. We combined evolutionary crystal structure prediction and quantum chemical methods to investigate potential Cu(x)Zn(y)O(z) ternary oxides. The USPEX algorithm and density functional theory were used to screen over 4000 crystal structures with different stoichiometries. When comparing compositions with non-magnetic Cu(I) ions, magnetic Cu(II) ions, and mixed Cu(I)-Cu(II) compositions, the magnetic Cu(2)Zn(2)O(4) system is thermodynamically the most favorable. At ambient pressures, the thermodynamically most favorable ternary crystal structure is still 2.8 kJ/mol per atom higher in Gibbs free energy compared to experimentally known binary phases. The results suggest that thermodynamics of the hypothetical Cu(x)Zn(y)O(z) ternary oxides should also be evaluated at high pressures. The predicted ternary materials are indirect band gap semiconductors. MDPI 2023-08-10 /pmc/articles/PMC10459973/ /pubmed/37630237 http://dx.doi.org/10.3390/molecules28165986 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kuklin, Mikhail S. Karttunen, Antti J. Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides |
title | Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides |
title_full | Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides |
title_fullStr | Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides |
title_full_unstemmed | Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides |
title_short | Evolutionary Algorithm-Based Crystal Structure Prediction of Cu(x)Zn(y)O(z) Ternary Oxides |
title_sort | evolutionary algorithm-based crystal structure prediction of cu(x)zn(y)o(z) ternary oxides |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459973/ https://www.ncbi.nlm.nih.gov/pubmed/37630237 http://dx.doi.org/10.3390/molecules28165986 |
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