Farkaš, B and de Leeuw, NH orcid.org/0000-0002-8271-0545 (2020) Towards a morphology of cobalt nanoparticles: size and strain effects. Nanotechnology, 31 (19). 195711. ISSN 0957-4484
Abstract
Cobalt nanoparticles with diameters of 8 nm have recently shown promising performance for biomedical applications. However, it is still unclear how the shape of cobalt clusters changes with size when reaching the nanoparticle range. In the present work, density functional theory calculations have been employed to compare the stabilities of two non-crystalline (icosahedron and decahedron) shapes, and three crystalline motifs (hcp, fcc, and bcc) for magic numbered cobalt clusters with up to 1500 atoms, based on the changes in the cohesive energies, coordination numbers, and nearest-neighbour distances arising from varying geometries. Obtained trends were extrapolated to a 104 size range, and an icosahedral shape was predicted for clusters up to 5500 atoms. Larger sized clusters adopt hcp stacking, in correspondence with the bulk phase. To explain the crystalline/non-crystalline crossovers, the contributions of the elastic strain density and twin boundary from the specimen surfaces to the cohesive energy of different motifs were evaluated. These results are expected to aid the design and synthesis of cobalt nanoparticles for applications ranging from catalysis to biomedical treatments.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). Published by IOP Publishing Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | computer modelling; DFT; cobalt nanoparticles; hcp; icosahedron; twin boundary |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Mar 2020 16:33 |
Last Modified: | 07 Apr 2020 13:35 |
Status: | Published |
Publisher: | IOP Publishing |
Identification Number: | 10.1088/1361-6528/ab6fe0 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158166 |
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