Evolutionary Algorithm-Based Crystal Structure Prediction of CuxZnyOz Ternary Oxides
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.author | Kuklin, Mikhail S. | |
| dc.contributor.author | Karttunen, Antti J. | |
| dc.contributor.department | Inorganic Materials Modelling | |
| dc.contributor.department | Department of Chemistry and Materials Science | |
| dc.contributor.department | Department of Chemistry and Materials Science | en |
| dc.date.accessioned | 2023-09-18T04:20:52Z | |
| dc.date.available | 2023-09-18T04:20:52Z | |
| dc.date.issued | 2023-08-10 | |
| dc.description | Publisher Copyright: © 2023 by the authors. | |
| dc.description.abstract | 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 CuxZnyOz ternary oxides to map their experimental feasibility. We combined evolutionary crystal structure prediction and quantum chemical methods to investigate potential CuxZnyOz 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 CuI ions, magnetic CuII ions, and mixed CuI-CuII compositions, the magnetic Cu2Zn2O4 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 CuxZnyOz ternary oxides should also be evaluated at high pressures. The predicted ternary materials are indirect band gap semiconductors. | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 13 | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Kuklin , M S & Karttunen , A J 2023 , ' Evolutionary Algorithm-Based Crystal Structure Prediction of Cu x Zn y O z Ternary Oxides ' , Molecules , vol. 28 , no. 16 , 5986 . https://doi.org/10.3390/molecules28165986 | en |
| dc.identifier.doi | 10.3390/molecules28165986 | |
| dc.identifier.issn | 1420-3049 | |
| dc.identifier.other | PURE UUID: f18a3927-65f2-41e4-9a4f-268a8bd36f24 | |
| dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/f18a3927-65f2-41e4-9a4f-268a8bd36f24 | |
| dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85168725047&partnerID=8YFLogxK | |
| dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/121884118/CHEM_Kuklin_and_Karttunen_Evolutionary_Algorithm_2023_Molecules.pdf | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/123585 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202309185942 | |
| dc.language.iso | en | en |
| dc.publisher | MDPI AG | |
| dc.relation.ispartofseries | Molecules | en |
| dc.relation.ispartofseries | Volume 28, issue 16 | en |
| dc.rights | openAccess | en |
| dc.subject.keyword | copper oxides | |
| dc.subject.keyword | crystal structure prediction | |
| dc.subject.keyword | density functional theory | |
| dc.subject.keyword | evolutionary algorithms | |
| dc.subject.keyword | ternary oxides | |
| dc.subject.keyword | zinc oxides | |
| dc.title | Evolutionary Algorithm-Based Crystal Structure Prediction of CuxZnyOz Ternary Oxides | en |
| dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
| dc.type.version | publishedVersion |
