2016
DOI: 10.3390/ma9050352
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Correction: First-Principles Study of Mo Segregation in MoNi(111): Effects of Chemisorbed Atomic Oxygen. Materials 2016, 9, 5

Abstract: The authors wish to make the following corrections to this manuscript [1].[...]

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Cited by 4 publications
(7 citation statements)
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“…The first feature is that, consistent with results of other transition metals, the oxygen binding strength has the order of fcc > hcp > bridge > top, except for the Mo‐segregated and nonsegregated Ni 3 Mo(111) surfaces where the adsorption at the hcp site is stronger than at the fcc site. This phenomenon is in agreement with our previous calculations .…”
Section: Resultssupporting
confidence: 94%
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“…The first feature is that, consistent with results of other transition metals, the oxygen binding strength has the order of fcc > hcp > bridge > top, except for the Mo‐segregated and nonsegregated Ni 3 Mo(111) surfaces where the adsorption at the hcp site is stronger than at the fcc site. This phenomenon is in agreement with our previous calculations .…”
Section: Resultssupporting
confidence: 94%
“…The observed shift in the nickel d‐band DOS center toward the lower‐energy region away from the Fermi level may result from a rehybridization of the Ni's d‐states caused by the overlap in the d‐states of the Ni atoms with the d‐states of the M atoms . From the previous studies , it is clear that the shift in the d‐band center of the surface atoms away from the Fermi level will be accompanied by a deactivation of the surface for oxygen adsorption. For Ni‐segregated surfaces we see from Table that the oxygen adsorption does become weakened, which is consistent with the d‐band shift of Ni atoms.…”
Section: Resultsmentioning
confidence: 91%
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“…) is the total energy of the surface doped in the first or second layer. Previous works showed how the surface with a doped atom in the third layer correctly simulates the bulk environment and has a negligible effect on the segregation energy results [51,52]. This model may explain these surface segregation processes, and can be used to make predictions of alloy segregation.…”
Section: Insert Tablementioning
confidence: 84%