2019
DOI: 10.1080/00268976.2019.1603409
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Crystallographic orientation dependence of work function: carbon adsorption on Au surfaces

Abstract: We investigate the work function (WF) variation of different Au crystallographic surface orientations with carbon atom adsorption. Ab-initio calculations within density-functional theory are performed on carbon deposited (100), (110), and (111) gold surfaces. The WF behavior with carbon coverage for the different surface orientations is explained by the resultant electron charge density distributions. The dynamics of carbon adsorption at sub-to-one-monolayer (ML) coverage depends on the landscape of the potent… Show more

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Cited by 11 publications
(9 citation statements)
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“…However, for a more realistic model at larger length scales (and potentially including additional interaction effects), additional surface structures would need proper accounting: it is likely that adsorbates traversing such uneven surfaces would generate additional (rare) dipole fluctuations and, consequently, low-frequency electric-field noise. Even different smooth surfaces can have noticeable variation in surface dipole profiles, as recent theoretical work on carbon adsorbed on gold demonstrated [57]. Lastly, throughout this work, we have relied upon the patch potential model to link dipole fluctuations to trap noise even though it is only one approximate model of many potential models for this noise [32].…”
Section: Discussionmentioning
confidence: 99%
“…However, for a more realistic model at larger length scales (and potentially including additional interaction effects), additional surface structures would need proper accounting: it is likely that adsorbates traversing such uneven surfaces would generate additional (rare) dipole fluctuations and, consequently, low-frequency electric-field noise. Even different smooth surfaces can have noticeable variation in surface dipole profiles, as recent theoretical work on carbon adsorbed on gold demonstrated [57]. Lastly, throughout this work, we have relied upon the patch potential model to link dipole fluctuations to trap noise even though it is only one approximate model of many potential models for this noise [32].…”
Section: Discussionmentioning
confidence: 99%
“…We ascribe the different observed yield strengths to local surface modifications introduced during SEM imaging, i.e., carbon deposition which is known to cause a change of surface properties, e.g., the work function of gold. 27 Also note that the photoemission pattern in Figure 2b shows a slight (∼10°) rotation with respect to the nominal slit orientation detected with SEM. Imperfect adjustments of the magnetic lenses in the PEEM can lead to similar distortions, but also a near-by edge of the sample holder aperture resulting in a surface potential deformation is a conceivable origin of this observation.…”
mentioning
confidence: 80%
“…For these two slits the PEEM yield is magnified by a factor of 8 in Figure b to match the signal level to that of the three leftmost slits. We ascribe the different observed yield strengths to local surface modifications introduced during SEM imaging, i.e., carbon deposition which is known to cause a change of surface properties, e.g., the work function of gold . Also note that the photoemission pattern in Figure b shows a slight (∼10°) rotation with respect to the nominal slit orientation detected with SEM.…”
mentioning
confidence: 90%
“…Finally, histograms of Kelvin probe force microscopy (KPFM) images are presented to elucidate the surface-potential "roughness" of incrementally sputtered electroplated gold electrodes, quantifying work-function patch sizes with wide distributions of work functions on the electrode surface. These resulting work-function distributions are not fully explained by the different crystalline orientations within the polycrystalline electrode [24] but may also be the result of morphological effects of an unannealed surface. Finally, a simple model is presented to qualitatively explain a correlation between the nonmonotonic heating rates and the roughness of the surface-potential maps.…”
Section: Introductionmentioning
confidence: 95%