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Oxygen adsorption on small Ti clusters: A first-principles study AITranslate

Computational Center, Russian Academy of Sciences
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Publisher: Elsevier
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Abstract AITranslate

Highlights • We investigated oxygen adsorption on stable titanium nanoclusters. • The adsorption energy was studied as a function of the O coverage on the Ti13. • O atoms located in positions corresponding to “bulk” interstitial sites. We have used density functional theory calculations to investigate the interaction of titanium (Ti) nanoparticles with oxygen. We found the energy-favorable site for oxygen atoms on a Ti13 cluster surface and investigated the atomic structure of the oxidized cluster. Our results showed that during oxidation, the oxygen atoms advantageously occupied positions on the titanium clusters that are similar to “bulk” interstitial sites. Graphical abstract Download : Download full-size image

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DOI:https://doi.org/10.1016/j.commatsci.2013.09.041

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Citation Information:

Highlights • We investigated oxygen adsorption on stable titanium nanoclusters. • The adsorption energy was studied as a function of the O coverage on the Ti13. • O atoms located in positions corresponding to “bulk” interstitial sites. We have used density functional theory calculations to investigate the interaction of titanium (Ti) nanoparticles with oxygen. We found the energy-favorable site for oxygen atoms on a Ti13 cluster surface and investigated the atomic structure of the oxidized cluster. Our results showed that during oxidation, the oxygen atoms advantageously occupied positions on the titanium clusters that are similar to “bulk” interstitial sites. Graphical abstract Download : Download full-size image

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GB/T 7714-2015 [1] A.N. Chibisov. Computational Materials Science, 2014(82). DOI:10.1016/j.commatsci.2013.09.041.
MLA [1] A.N. Chibisov. Computational Materials Science, no. 82, 2014, https://doi.org/10.1016/j.commatsci.2013.09.041.
APA [1] A.N. Chibisov. (2014). Computational Materials Science(82). https://doi.org/10.1016/j.commatsci.2013.09.041
IEEE [1] A.N. Chibisov, Computational Materials Science, no. 82, 2014, doi: 10.1016/j.commatsci.2013.09.041.