Bimetallic catalysts are useful because of their versatility, such as the ability to tune their catalytic activity and selectivity by varying properties such as composition, particle size, and support. 1 In particular, Pt-Au catalysts have been shown to exhibit enhanced activity and selectivity in specific reactions when compared to monometallic catalysts. For example, Dimitratos et al. 2 showed that carbon-supported Pt-Au has higher catalytic activity for the oxidation of glycerol than carbon-supported Pt and that the catalyst preparation method affects the selectivity. Selvarani et al. 3 determined that the optimum Pt:Au ratio for carbon-supported Pt-Au as a direct methanol fuel cell catalyst is 2:1, at which composition the catalyst delivers a peak power density 1.5 times that of pure Pt. Comotti et al. 4 found a turnover frequency of 60 h -1 for the oxidation of glucose over pure platinum, while a Pt-Au alloy with Au:Pt ratio of 2:1 yields a turnover frequency of 924 h -1 . The authors also found that, for 7 different Au:Pt ratios ranging from 4 to 0.25, the minimum and maximum turnover frequencies are 240 and 924 h -1 , observed for Au:Pt ratios of 1 and 2, respectively. It is likely that these results depend on the atomic arrangement on the surface of the bimetallic nanoparticles used as catalysts. Unfortunately, direct experimental visualization of the composition and structure of nanoparticle surfaces is at present problematic, especially at operating conditions. Techniques such as high-energy resonant X-ray diffraction can be used to probe the structure of bimetallic catalysts. 5 Molecular simulations could be useful to interpret such experiments and also identify the local structure of supported mono-and bimetallic nanoparticles. [6][7][8] For example, we have previously used molecular dynamics (MD) simulations to study the effect of composition and support geometry on the properties of Pt-Au nanoparticles containing 250 atoms, 9 finding that it should be possible to tailor the distribution of atoms by manipulating nanoparticle composition and support geometry. This could lead to greater control of catalyst selectivity by maximizing the active sites on the nanoparticle surface that catalyze a certain reaction.In order to link our previous MD results to experimentally verifiable measurements, we report here ab initio density functional theory (DFT) calculations for CO adsorption on Pt-Au clusters. CO is often employed as a probe molecule because its adsorption energy and C-O stretching frequency depend on the adsorption site, as can be observed experimentally via, e.g., Fourier transform infrared spectroscopy. 10 CO adsorption is also important in CO oxidation, which occurs in automobile catalytic converters, 11 in preferential CO oxidation (PROX reaction) in hydrogen feeds, 12 and in CO hydrogenation, the critical step in Fischer-Tropsch processes. 13 DFT has been used to study adsorption of CO on metal surfaces, such as Pt(111), [14][15][16][17] on Pt(111) overlayers, 18,19 and on metal nanoparticles. ...