Projects per year
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.
Original language | English |
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Article number | 5986 |
Number of pages | 13 |
Journal | Molecules |
Volume | 28 |
Issue number | 16 |
DOIs | |
Publication status | Published - 10 Aug 2023 |
MoE publication type | A1 Journal article-refereed |
Keywords
- copper oxides
- crystal structure prediction
- density functional theory
- evolutionary algorithms
- ternary oxides
- zinc oxides
Fingerprint
Dive into the research topics of 'Evolutionary Algorithm-Based Crystal Structure Prediction of CuxZnyOz Ternary Oxides'. Together they form a unique fingerprint.Projects
- 1 Finished
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ATOM-THERMOX: Atomistic Thermal Engineering of Metal Oxides (ATOM-THERMOX)
Karttunen, A. (Principal investigator), Albrecht, E. (Project Member), Linnera, J. (Project Member), Mattila, N. (Project Member), Conley, K. (Project Member), Hellsten, N. (Project Member), Eklund, K. (Project Member) & Kuklin, M. (Project Member)
01/09/2018 → 31/08/2022
Project: Academy of Finland: Other research funding
Press/Media
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Aalto University Reports Findings in Engineering (Evolutionary Algorithm-Based Crystal Structure Prediction of CuxZnyOz Ternary Oxides)
13/09/2023
1 item of Media coverage
Press/Media: Media appearance