1978
DOI: 10.1016/0039-6028(78)90164-4
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Adsorption of CO on Pt(111) and Pt 6(111) × (111) studied by high resolution electron energy loss spectroscopy and thermal desorption spectroscopy

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Cited by 292 publications
(111 citation statements)
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“…showed that the high Miller index stepped surfaces expose two additional adsorption sites for CO adsorption that do not exist on the flat low Miller index surfaces [1]. They proposed that one is on top of a step edge and the other is on the terrace near the step, in other words, at the bottom of the step edges.…”
Section: Comparison Of Co Adsorption On Low and High Miller Index Pt mentioning
confidence: 99%
“…showed that the high Miller index stepped surfaces expose two additional adsorption sites for CO adsorption that do not exist on the flat low Miller index surfaces [1]. They proposed that one is on top of a step edge and the other is on the terrace near the step, in other words, at the bottom of the step edges.…”
Section: Comparison Of Co Adsorption On Low and High Miller Index Pt mentioning
confidence: 99%
“…The binding energy of CO depends on the Pt surface structure. From surfaces with the low Mille r indices CO desorbs in a relatively broad signal, between 300 K and 550 K, in temperature programmed desorption (TPD) spectra [2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…at ~ 400 and ~ 500 K [6][7][8], which have been assigned to the (111)-like terraces and low -coordination sites, respectively. A similar assignment was applied for supported Pt particles [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
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“…27 According to the low-energy electron diffraction (LEED) and electron energy loss spectroscopy (EELS) analysis, [28][29][30][31] CO resides on the atop site of Pt(111), singly coordinated to one Pt atom. It was noted that increasing the energy difference between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) might cure this problem of DFT, [32][33][34] and that this could be achieved by using hybrid functionals.…”
Section: Introductionmentioning
confidence: 99%