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. 2017 Jun 1;146(21):214701. doi: 10.1063/1.4984072

Interpretation of x-ray absorption spectroscopy in the presence of surface hybridization

Katharina Diller 1,a), Reinhard J Maurer 1,b), Moritz Müller 1,c), Karsten Reuter 1
PMCID: PMC5453787  PMID: 28576083

Abstract

X-ray absorption spectroscopy (XAS) yields direct access to the electronic and geometric structure of hybrid inorganic-organic interfaces formed upon adsorption of complex molecules at metal surfaces. The unambiguous interpretation of corresponding spectra is challenged by the intrinsic geometric flexibility of the adsorbates and the chemical interactions with the interface. Density-functional theory (DFT) calculations of the extended adsorbate-substrate system are an established tool to guide peak assignment in X-ray photoelectron spectroscopy of complex interfaces. We extend this to the simulation and interpretation of XAS data in the context of functional organic molecules on metal surfaces using dispersion-corrected DFT calculations within the transition potential approach. For the prototypical case of 2H-porphine adsorbed on Ag(111) and Cu(111) substrates, we follow the two main effects of the molecule/surface interaction onto the X-ray absorption signatures: (1) the substrate-induced chemical shift of the 1s core levels that dominates in physisorbed systems and (2) the hybridization-induced broadening and loss of distinct resonances that dominate in more chemisorbed systems.

I. INTRODUCTION

A detailed understanding of the geometry and chemical structure, the electronic level alignment, and reactivity of organic adsorbates1–6 provides important information for the application of hybrid inorganic-organic systems (HIOSs) in organic solar cells, organic light-emitting diodes (OLEDs), or other molecular electronics devices.7–11 X-ray photoelectron spectroscopy (XPS) and near-edge X-ray absorption fine-structure (NEXAFS, often also referred to as XANES) spectroscopy represent some of the most popular techniques to study the electronic structure and (with polarization-dependent NEXAFS) the adsorption geometries12 of metal-adsorbed organic molecules. For XPS, and even more so for NEXAFS, the interpretation of the spectroscopic signatures is a challenge though, and disentangling effects of the electronic structure and adsorption geometry of complex functional adsorbates purely from experiment can be close to impossible.

The principles of XPS13 and NEXAFS14 are depicted in Fig. 1. The sample is irradiated by an X-ray beam, leading either to the emission of photoelectrons from a core level (XPS) or the excitation of core electrons to higher, unoccupied levels (NEXAFS). In both cases, experimental spectra are acquired by scanning over an energy range: kinetic energies for XPS (which are linked via the photon energy to electron binding energies) and photon energies for NEXAFS (to probe resonant excitations). Ideally, the measured spectrum exhibits sharp signatures which can be directly assigned to originate from individual core levels (XPS, Fig. 1 left) or from transitions between core levels and unoccupied states (NEXAFS, Fig. 1 right). Correspondingly, changes in the chemical environment are reflected in (i) the position of the spectral features as well as (ii) their shape and intensity. A full understanding of these signatures is therefore the key to understand the chemistry and the electronic properties of the combined molecule/surface system.

FIG. 1.

FIG. 1.

Principle of XP and NEXAFS spectroscopy. Absorption of X-ray radiation leads either to emission of core electrons (XPS) or to excitation into unoccupied molecular π* and σ* states (NEXAFS). The schematic spectra indicate the relation between adsorbate states and peaks in the spectra.

Unfortunately, the inherent multi-peak structure in NEXAFS [Fig. 1(b)] makes interpretation difficult. Already for simple organic molecules containing only a single carbon atom (such as CO) or only a single distinguishable chemical carbon species (such as C2H4 or benzene), the carbon K-edges are non-trivial and interpretation is vastly aided by simulations.15–18 Organic adsorbates currently studied in the context of molecular nanotechnology are considerably more complex. Molecules such as pentacene derivatives and alkanethiols,19 alkynes,20 porphyrins,1,21 or azobenzene derivatives22,23 have a high molecular flexibility and their conformation on surfaces depends on many factors. Polarization-dependent NEXAFS is commonly used to derive adsorption geometries,12,19,24 but the results are only reliable when all peaks are correctly assigned to subgroups of the molecule, obtained, e.g., by comparison to (polarization dependent or independent) simulations. Complex organic adsorbates contain many chemically inequivalent carbon atoms. The measured C K-edge is thus composed of several non-trivial contributions, which not only differ in shape and position, but may also react differently to the presence of the surface.

First-principles NEXAFS simulations of complex interfaces (including the substrate) may prove indispensable, but became computationally feasible only recently. In contrast, single-molecule calculations using time-dependent density-functional theory (DFT) as well as the here employed transition potential (TP) approach25,26 are well established and generally reproduce experimental gas-phase and multilayer data very well.27–29 Relaxation effects in the TP approximation are taken into account by including half a core hole, and the excitations at different atomic centers allow the direct assignment of spectral features to individual atoms and transitions. This approach (which we will use in the following as described in Section II) has been successfully employed in single-molecule simulation for reproducing the near-edge region of experimental K-edge data with high accuracy (for details see, for example, works on the C edge of anthracene,30 the F edge of perfluoropentacene,31 or the C32 and the O edge33 of phenyl-C60-butyric acid methyl ester performed with the DFT cluster code StoBe34), which then allows a detailed fitting of the measured fine structure.35 However, such single-molecule calculations lack the perturbing effect of the substrate on the signatures of adsorbates in the monolayer, i.e., they neglect the effects that define the electronic and optical properties of the HIOS interface.

In this work, we assess the role of such molecule/substrate interaction in the interpretation of NEXAFS signatures using dispersion-corrected DFT in combination with the TP approach. Explicitly accounting for the extended metal surface (similar to the study of Baby et al.36 and in contrast to finite cluster calculations, as used for example in Refs. 37 and 38), we study the XPS and NEXAFS signatures of two prototypical showcases for HIOS, free-base porphine [2H-P, Fig. 3(a)] on Ag(111) and Cu(111). 2H-P represents the most basic compound in the group of porphyrins—molecules which attract large interest due to their ubiquitous presence in biology and their large chemical flexibility and versatility.1,21 In a recent study,39 we found that the molecule-surface binding is dominated by dispersion interactions on both substrates. However, the charge rearrangement and the surface hybridization are more physisorption-like on Ag(111) and more chemisorption-like on Cu(111).39 This subtle difference for otherwise equivalent features makes these systems an ideal showcase for the study of surface-interaction effects on NEXAFS signatures. Our detailed analysis of first-principles calculated NEXAFS spectra shows that stronger hybridization on Cu(111) than on Ag(111) translates into a loss of clearly characterizable adsorbate signatures.

FIG. 3.

FIG. 3.

Comparison of simulated C 1s XP (left) and C K-edge NEXAFS (middle) signatures of isolated 2H-P (top) with those of 2H-P adsorbed on Ag(111) (middle) and Cu(111) (bottom) surfaces. The color code of individual spectral components indicates the coordination of the corresponding C atom as indicated in the top right panel: C-bonded (gray, blue, and green dashed lines), N-bonded (red continuous line), and NH-bonded (orange continuous line). Total spectra (black lines) and NEXAFS components are broadened for visual clarity. For better comparison all spectra are aligned to the lowest C–CN transition (black component).

II. COMPUTATIONAL DETAILS

All DFT calculations have been performed using the pseudopotential plane wave code CASTEP 6.0.140 and employing standard library ultrasoft pseudopotentials (USPPs)41 for the geometry optimizations and the generation of the molecular orbital projected density of states (MO-PDOS). Electronic exchange and correlation were treated with the semi-local PBE functional,42 and a plane wave cutoff of 450 eV (400 eV) was used for the calculation of the adsorbates (isolated molecule). As adsorbate structures are strongly governed by van der Waals interactions, the semi-local functional was augmented with the pairwise-additive dispersion correction scheme vdWsurf of Tkatchenko and co-workers.43,44 All calculations were performed with (6 × 6) (111) four-layered surface slabs of Ag and Cu with PBE-optimized lattice constants of 4.14 Å (bulk Ag) and 3.63 Å (bulk Cu). The vacuum was chosen to exceed 20 Å, and Brillouin-zone sampling was done with a 2 × 2 × 1 (4 × 4 × 1) Monkhorst–Pack grid45 for geometry optimizations (electronic structure calculations). All molecular degrees of freedom were fully relaxed until residual forces fell below 0.025 eV/Å. On both substrates the energetically most favored adsorption sites were the bridge sites (with respect to the center of the molecule). The porphine molecules adsorb parallel to the surface with only minor deformations. The difference in maximum pyrrole tilt angle between porphines adsorbed onto Cu and Ag is less than 4°. A more detailed description of the optimized geometries as well as an analysis of the adsorption energies can be found in Ref. 39.

Core-Level spectroscopy simulations have been performed using the ELNES module in CASTEP,46 a self-written post-processing tool, and on-the-fly generated core-hole excited USPPs including a full (half) core hole for the simulation of the XPS (NEXAFS) spectra. XPS energies for each chemical species have been calculated as the difference in total energies between the core-hole excited state and the ground-state. The XPS intensity is simply given by stoichiometry, assuming ideal and species-independent generation of photoelectrons. The NEXAFS simulations are performed using the transition potential (TP) approximation,25 where the occupation of the initial state orbital (here C 1s) is set to 0.5 (see also Refs. 30 and 31). This allows us to calculate all transition energies for one specific C atom in a single DFT calculation by determining the eigenvalues of the core-hole excited state (i.e., n = 0.5). Relative shifts between different C atoms were corrected using the full core hole as described in the supplementary material. The number of simulations is therefore the same for the simulation of XPS and NEXAFS spectra. To facilitate comparison to the experiment, spectra were then broadened with Gaussian functions of varying width: Up to 5 eV over the first transition, a broadening σ of 0.2 eV was used, followed by a linear increase to 2.0 eV up to 15 eV over the first transition to account for the reduced lifetime of the σ* resonances which leads to increasing widths.14 The sum of the shifted and broadened contributions resulted in the spectra displayed in Figs. 2 and 3. The spectra in Figs. 2 and 3 are referenced with respect to the first feature of lowest-energy species (marked in black). Further details on the calculations can be found in the supplementary material.

FIG. 2.

FIG. 2.

Comparison of simulated (left) and experimental (taken from Refs. 4749) C K-edge NEXAFS spectra of 2H-P (top), 2H-P on Ag(111) (middle), and 2H-P on Cu(111) (bottom). For ease of comparison, both experiment and simulation have been shifted to align the leading edge with 0 eV, corresponding to an alignment to the lowest C–CN transition (cf. Fig. 3).

III. RESULTS AND DISCUSSION

Figure 2(b) shows the experimental C K-edge NEXAFS multilayer spectra for 2H-P on Ag(111).47 The spectrum is well reproduced by single-molecule calculations employing DFT cluster codes with the TP approach48 and equally by our pseudopotential plane-wave dispersion-corrected DFT calculations [Fig. 2(a)] employed here using a periodic supercell (cf. Section II and supplementary material). The agreement between simulations and experiment allows for a direct assignment of the measured features in terms of transitions between core-levels and unoccupied molecular orbitals (MOs), cf. Fig. 3(b). Peak A is generated by transitions from the 1s levels to the π* lowest unoccupied MOs (LUMOs) in the presence of the respective core holes of the outer C–C bound carbon atoms. Peak B originates from the 1s LUMO transition of the carbon atom attached to the iminic nitrogen atom, and peak C is a mix of several components (in agreement with previous single-molecule simulations48).

For 2H-P directly adsorbed on Ag(111) [Fig. 2(d), Ref. 47], the spectrum is very similar to that of the multilayer/isolated molecule. Only the second peak (peak B’) seems shifted upwards leading to a broadening of the third (peak C’) and a reduction of the first peak (peak A’). In contrast, the strong modifications introduced by direct adsorption to Cu(111) [structures D, E in Fig. 2(e), Refs. 48 and 49] pose a challenge for any such interpretation. Just on the basis of the measured spectrum, it is not possible to unambiguously conclude whether all features are still present, but broadened, whether only the first peak is quenched due to an electron transfer to the LUMO,50 whether the first peak is shifted upwards and the third one downwards, or even if the molecule is decomposed.51 Using the detailed information on geometry, electronic structure, and individual atomic contributions provided by the first-principles calculations allows instead to clearly separate the spectral changes into two distinct effects: (i) chemical shifts of the 1s core levels (i.e., the XPS energies) which govern the onset of the NEXAFS curves of the different carbon species (cf. Fig. 3), and (ii) the electronic structure of the frontier MOs, which determines the shape of the individual spectral components (cf. Fig. 4).

FIG. 4.

FIG. 4.

(Left) Simulated NEXAFS component originating from one C-bonded species (cf. blue dashed lines in Fig. 3) for isolated 2H-P (a), 2H-P on Ag(111) (c), and on Cu(111) (e). Bars denote the calculated transitions. The continuous black line is the result of broadening. To increase visibility, bars in (c) and (e) are scaled by a factor of four compared to (a). (Right) The changes of the NEXAFS signatures reflect the differing hybridization in the molecular states as evidenced by the MOs projected from the total density of states (see text). Considering the discrete spectrum of isolated 2H-P, no broadening was applied in (b).

In the 2H-P XPS signature [Fig. 3(a)], the main low-energy feature is generated by purely carbon-coordinated C species, while the contributions from N-coordinated and NH-coordinated C species are clearly separated at higher binding energies. Upon adsorbing the molecule onto Ag(111) [Fig. 3(c)] and Cu(111) [Fig. 3(e)], the two groups separate more and more, up to the point of two displaced peaks in the case of 2H-P on Cu(111) (for a comparison to the experimental literature XPS data, see Fig. S1 of the supplementary material). Accordingly, the first peak of the 2H-P gas-phase NEXAFS curve originates from purely C-bonded carbon, the second peak from the C–N species, and the third is a mixture. The calculation confirms that the second peak (C–N component) is indeed shifted upwards upon adsorption on Ag(111) [Fig. 3(d)]. On Cu(111) [Fig. 3(f)], however, the strong spectral changes can no longer be explained on the basis of chemical shifts alone.

This leads us to discuss the second adsorption-induced effect on the spectra that is not captured by single-molecule simulations: the variation of the shape of the individual spectral components arising from surface hybridization of the involved frontier MOs. To illustrate this, Fig. 4 compares the simulated NEXAFS spectra with the MO-projected partial density of states (MO-PDOS). For clarity we show only the component arising from one of the C-bonded species (blue dashed component in Fig. 3); the others show the same behavior. In the MO-PDOS the frontier orbitals of isolated 2H-P [Fig. 4(b)] are projected onto the final eigenstates of the adsorbed system. The MO-PDOS thus exclusively reflects the changes of the frontier orbitals upon adsorption (see supplementary material for more details). Figure 4(b) shows the discrete frontier MOs of the isolated molecule. The corresponding NEXAFS spectrum in Fig. 4(a) is governed by single transitions into the LUMO and LUMO + 2. Due to the missing overlap between the 1s orbital and the LUMO + 1 in the presence of the core-hole (cf. Fig. S3 of the supplementary material), the corresponding transition has close to zero intensity. For 2H-P on Ag(111), this discrete peak structure is mostly preserved, as well as the near-degeneracy of LUMO and LUMO + 1. However, small hybridization effects already lead to broadened molecular states, and a partial shift below the Fermi level indicates an onset of charge transfer (which we recently confirmed using a range of charge partitioning schemes39). This change in electronic structure carries over to the NEXAFS spectrum by replacing the delta-peak transitions of the isolated molecule with narrow distributions. The MO-PDOS alone, however, while reflecting the influence of the surface on the molecular states, is not sufficient for a detailed interpretation of the spectral changes. In Fig. S4 of the supplementary material, we compare the experimental data to the summed up MO-PDOS shown in Fig. 4, which was multiplied by a step function to consider only the unoccupied states. The trends are well reproduced, but the near-edge fine-structure is not, which underlines the need for the inclusion of the core hole (in agreement with the results for single-molecule simulations presented for examples in Refs. 30 and 31) and a proper treatment of transition probabilities. The analysis of the experimental data does not allow an unambiguous decision whether the slight changes in spectral shape of the experimental NEXAFS data of 2H-P adsorbed on Ag(111) compared to isolated 2H-P are caused by a reduction of the first peak (caused by charge transfer) or a shift of the individual contributions.47 The here presented TP calculations show that the spectrum is not only governed by a relative peak shift but also by a slight reduction of intensity in the first peak that stems from a charge transfer. The latter effect is evidenced by the MO-PDOS and the partial shift of the LUMO below the Fermi level [Fig. 4(d)]. In general, however, the quantification of transferred charge is not straightforward and results can differ depending on the computational setup.52 For a more detailed discussion of the amount of partial charge transfer between the Ag(111) and Cu(111) surfaces and the porphine molecule, the values obtained with different methods, and the influence of the molecular coverage, we refer to Ref. 39.

For the only modestly more reactive Cu(111) surface, the MO-PDOS loses this discrete peak structure and instead exhibits band-like features due to hybridization with substrate states [Fig. 4(f)]. Rather than mere energetic shifts and significant broadening, these features show a pronounced sub-structure with multiple peaks due to the splitting of MOs. These complex shapes again carry directly over to the NEXAFS spectrum [Fig. 4(e)]. The availability of a continuum of molecular states leads to a continuum of transitions with non-zero transition probability. In their superposition, these transitions give rise to new features in the resulting spectrum that resembles peaks or shoulders. However, as is clear from the present analysis, any association of these features with (predominant) transitions to specific resonant MOs would be unjustified, if not misleading: Neither can the spectral change be assigned to quenching of the first peak due to charge transfer alone, the molecule is neither decomposed nor deprotonated, nor is there a strong selective binding that would lead to a pronounced geometric deformation—as could all have been deduced by traditionally interpreting the spectrum in Fig. 3(f) in terms of strong “shifts” or “quenching” of one or more of the three principal peaks of the gas-phase spectrum in Fig. 3(b). In fact, with the exception of the overall vertical adsorption height, the calculations yield only minimal differences in the optimized geometric structure of 2H-P on Ag(111) and Cu(111), with the difference in maximum pyrrole tilt angle being less than 4○.39

IV. CONCLUSIONS

To summarize, we studied the influence of molecule-substrate interactions on X-ray absorption spectra of large organic adsorbates by using dispersion-corrected density-functional theory combined with the transition potential approach. For the example of free-base porphine adsorbed on the commonly employed substrates Ag(111) and Cu(111), this approach results in an excellent agreement between our X-ray absorption spectroscopy simulations and experimental literature data, with modest computational costs equivalent to commonly employed XPS simulations. By comparing the spectra of the adsorbed molecules to the spectra of the gas-phase reference (i.e., simulation of an isolated molecule), we could show that the implicit assumption of a small metal surface-induced perturbation of molecular states fails completely for the adsorption on copper. However, also on the silver surface, typically considered as rather inert, assignment of all spectral changes necessitates the simulation of the combined adsorbate/substrate system. For both HIOSs, we followed the two effects that shape the final C K-edge NEXAFS spectrum of the adsorbate: (1) Chemical shifts that are induced by the substrate-induced potential and (2) the broadening, splitting, and complex shape of transitions into strongly hybridized frontier orbitals. The first effect can in principle be interpreted using a discrete MO picture, but the second effect cannot. While a surface-imposed broadening of molecular resonances is generally not surprising, its strength for a moderately reactive surface such as Cu(111) and an organic adsorbate that is predominantly bound by dispersive interactions is surprising. The hybridization of the states modifies the NEXAFS spectrum up to the point where only a continuum of states is found. As illustrated by the showcase 2H-P on Cu(111), what appears to be discernible spectroscopic signatures may then merely emerge from the superposition of a continuum of transitions with non-zero transition probability. This calls for utmost caution in the interpretation of adsorbate X-ray absorption spectra. Typical peak assignments in terms of adsorbate orbital symmetries (π*,σ*) or fitting procedures including only a few Gaussian or Lorentzian line shapes in such cases would not reflect the correct chemistry and could only be a rough approximation. Ideally, spectroscopic assignment should be supported by first-principles spectroscopic calculations that explicitly consider the effect of an extended surface. In lieu of such calculations, detailed XPS data can be equally helpful. Measured core-level shifts provide information about the energetic position of NEXAFS spectral components due to individual species. Even if nothing else is known about the hybridization and concomitant shape of the frontier orbitals, interpretation can then at least proceed in terms of atomic species.

SUPPLEMENTARY MATERIAL

See supplementary material for additional computational information, a comparison to experimental XPS data, the total DOS, the final state orbitals, and a comparison between the experiment and the MO-PDOS.

ACKNOWLEDGMENTS

The authors gratefully acknowledge the computing time at the Leibniz Supercomputing Center (LRZ) under Project No. pr85za. We thank F. Klappenberger, W. Auwärter, and J. V. Barth for helpful discussions. R.J.M. and K.R. acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG) under Project No. RE1509/16-2.

REFERENCES

  • 1.Gottfried J. M., Surf. Sci. Rep. 70, 259–379 (2015). 10.1016/j.surfrep.2015.04.001 [DOI] [Google Scholar]
  • 2.Tautz F., Prog. Surf. Sci. 82, 479 (2007). 10.1016/j.progsurf.2007.09.001 [DOI] [Google Scholar]
  • 3.Seki K., Hayashi N., Oji H., Ito E., Ouchi Y., and Ishii H., Thin Solid Films 393, 298 (2001). 10.1016/s0040-6090(01)01094-x [DOI] [Google Scholar]
  • 4.Barlow S. and Raval R., Surf. Sci. Rep. 50, 201 (2003). 10.1016/s0167-5729(03)00015-3 [DOI] [Google Scholar]
  • 5.Zhu X.-Y., Surf. Sci. Rep. 56, 1 (2004). 10.1016/j.surfrep.2004.09.002 [DOI] [Google Scholar]
  • 6.Schultz T., Schlesinger R., Niederhausen J., Henneberger F., Sadofev S., Blumstengel S., Vollmer A., Bussolotti F., Yang J.-P., Kera S., Parvez K., Ueno N., Müllen K., and Koch N., Phys. Rev. B 93, 125309 (2016). 10.1103/physrevb.93.125309 [DOI] [Google Scholar]
  • 7.Lu W. and Lieber C. M., Nat. Mater. 6, 841 (2007). 10.1038/nmat2028 [DOI] [PubMed] [Google Scholar]
  • 8.Morgenstern K., Prog. Surf. Sci. 86, 115 (2011). 10.1016/j.progsurf.2011.05.002 [DOI] [Google Scholar]
  • 9.Dodabalapur A., Solid State Commun. 102, 259 (1997). 10.1016/s0038-1098(96)00714-4 [DOI] [Google Scholar]
  • 10.Hoppe H. and Sariciftci N. S., J. Mater. Res. 19, 1924 (2004). 10.1557/jmr.2004.0252 [DOI] [Google Scholar]
  • 11.Witte G. and Wöll C., J. Mater. Res. 19, 1889 (2004). 10.1557/jmr.2004.0251 [DOI] [Google Scholar]
  • 12.Hähner G., Chem. Soc. Rev. 35, 1244 (2006). 10.1039/b509853j [DOI] [PubMed] [Google Scholar]
  • 13.Hüfner S., Photoelectron Spectroscopy, 3rd ed. (Springer, 2003). [Google Scholar]
  • 14.Stöhr J., NEXAFS Spectroscopy (Springer, 1992). [Google Scholar]
  • 15.Pettersson L., Ågren H., Luo Y., and Triguero L., Surf. Sci. 408, 1–20 (1998). 10.1016/s0039-6028(98)00085-5 [DOI] [Google Scholar]
  • 16.Morin C., Simon D., and Sautet P., J. Phys. Chem. B 108, 5653 (2004). 10.1021/jp0373503 [DOI] [Google Scholar]
  • 17.Fronzoni G., Balducci G., Francesco R. D., Romeo M., and Stener M., J. Phys. Chem. C 116, 18910 (2012). 10.1021/jp306374w [DOI] [PubMed] [Google Scholar]
  • 18.Nilsson A., Hasselström J., Föhlisch A., Karis O., Pettersson L., Nyberg M., and Triguero L., J. Electron Spectrosc. Relat. Phenom. 110–111, 15–39 (2000). 10.1016/s0368-2048(00)00155-9 [DOI] [Google Scholar]
  • 19.Breuer T., Klues M., and Witte G., J. Electron Spectrosc. Relat. Phenom. 204, 102–115 (2015). 10.1016/j.elspec.2015.07.011 [DOI] [Google Scholar]
  • 20.Klappenberger F., Zhang Y.-Q., Björk J., Klyatskaya S., Ruben M., and Barth J. V., Acc. Chem. Res. 48, 2140–2150 (2015). 10.1021/acs.accounts.5b00174 [DOI] [PubMed] [Google Scholar]
  • 21.Auwärter W., Écija D., Klappenberger F., and Barth J. V., Nat. Chem. 7, 105–120 (2015). 10.1038/nchem.2159 [DOI] [PubMed] [Google Scholar]
  • 22.Willenbockel M., Maurer R. J., Bronner C., Schulze M., Stadtmüller B., Soubatch S., Tegeder P., Reuter K., and Tautz F. S., Chem. Commun. 51, 15324 (2015). 10.1039/c5cc05003k [DOI] [PubMed] [Google Scholar]
  • 23.Gahl C., Schmidt R., Brete D., Paarmann S., and Weinelt M., Surf. Sci. 643, 183–189 (2016). 10.1016/j.susc.2015.08.028 [DOI] [Google Scholar]
  • 24.Nefedov A. and Wöll C., Surface Science Techniques (Springer, 2013). [Google Scholar]
  • 25.Triguero L., Pettersson L. G. M., and Ågren H., Phys. Rev. B 58, 8097 (1998). 10.1103/physrevb.58.8097 [DOI] [Google Scholar]
  • 26.Slater J. C., Adv. Quantum Chem. 6, 1 (1972). 10.1016/S0065-3276(08)60541-9 [DOI] [Google Scholar]
  • 27.Schmidt N., Fink R., and Hieringer W., J. Chem. Phys. 133, 054703 (2010). 10.1063/1.3435349 [DOI] [PubMed] [Google Scholar]
  • 28.Kolczewski C., Püttner R., Plashkevych O., Ågren H., Staemmler V., Martins M., Snell G., Schlachter A. S., Sant’Anna M., Kaindl G., and Pettersson L. G. M., J. Chem. Phys. 115, 6426 (2001). 10.1063/1.1397797 [DOI] [PubMed] [Google Scholar]
  • 29.Luo Y., Ågren H., Keil M., Friedlein R., and Salaneck W. R., Chem. Phys. Lett. 337, 176 (2001). 10.1016/s0009-2614(01)00181-6 [DOI] [Google Scholar]
  • 30.Klues M., Hermann K., and Witte G., J. Chem. Phys. 140, 014302 (2014). 10.1063/1.4855215 [DOI] [PubMed] [Google Scholar]
  • 31.Klues M., Jerabek P., Breuer T., Oehzelt M., Hermann K., Berger R., and Witte G., J. Phys. Chem. C 120, 12693 (2016). 10.1021/acs.jpcc.6b04048 [DOI] [Google Scholar]
  • 32.Brumboiu I. E., Anselmo A., Brena B., Dzwilewski A., Svensson K., and Moons E., Chem. Phys. Lett. 568, 130 (2013). 10.1016/j.cplett.2013.03.031 [DOI] [Google Scholar]
  • 33.Brumboiu I. E., Ericsson L., Hansson R., Moons E., Eriksson O., and Brena B., J. Chem. Phys. 142, 054306 (2015). 10.1063/1.4907012 [DOI] [PubMed] [Google Scholar]
  • 34.Hermann K., Pettersson L., and DemonDevelopers Group , StoBe software, see http://www.fhi-berlin.mpg.de/KHsoftware/StoBe/.
  • 35.Diller K., Klappenberger F., Marschall M., Hermann K., Nefedov A., Wöll C., and Barth J. V., J. Chem. Phys. 136, 014705 (2012). 10.1063/1.3674165 [DOI] [PubMed] [Google Scholar]
  • 36.Baby A., Fratesi G., Vaidya S. R., Patera L. L., Africh C., Floreano L., and Brivio G. P., J. Phys. Chem. C 119, 3624 (2015). 10.1021/jp512337y [DOI] [Google Scholar]
  • 37.Balducci G., Romeo M., Stener M., Fronzoni G., Cvetko D., Cossaro A., Angela M. D., Kladnik G., Venkataraman L., and Morgante A., J. Phys. Chem. C 119, 1988 (2015). 10.1021/jp512146t [DOI] [Google Scholar]
  • 38.Shariati M.-N., Lüder J., Bidermane I., Ahmadi S., Göthelid E., Palmgren P., Sanyal B., Eriksson O., Piancastelli M. N., Brena B., and Puglia C., J. Phys. Chem. C 117, 7018 (2013). 10.1021/jp307626n [DOI] [Google Scholar]
  • 39.Müller M., Diller K., Maurer R. J., and Reuter K., J. Chem. Phys. 144, 024701 (2016). 10.1063/1.4938259 [DOI] [PubMed] [Google Scholar]
  • 40.Clark S. J., Segall M. D., Pickard C. J., Hasnip P. J., Probert M. I. J., Refson K., and Payne M. C., Z. Kristallogr. - Cryst. Mater. 220, 567 (2005). 10.1524/zkri.220.5.567.65075 [DOI] [Google Scholar]
  • 41.Vanderbilt D., Phys. Rev. B 41, 7892 (1990). 10.1103/physrevb.41.7892 [DOI] [PubMed] [Google Scholar]
  • 42.Perdew J. P., Burke K., and Ernzerhof M., Phys. Rev. Lett. 77, 3865 (1996). 10.1103/physrevlett.77.3865 [DOI] [PubMed] [Google Scholar]
  • 43.Tkatchenko A. and Scheffler M., Phys. Rev. Lett. 102, 073005 (2009). 10.1103/physrevlett.102.073005 [DOI] [PubMed] [Google Scholar]
  • 44.McNellis E., Meyer J., Baghi A., and Reuter K., Phys. Rev. B 80, 035414 (2009). 10.1103/physrevb.80.035414 [DOI] [Google Scholar]
  • 45.Monkhorst H. J. and Pack J. D., Phys. Rev. B 13, 5188 (1976). 10.1103/physrevb.13.5188 [DOI] [Google Scholar]
  • 46.Mizoguchi T., Tanaka I., Gao S.-P., and Pickard C. J., J. Phys.: Condens. Matter 21, 104204 (2009). 10.1088/0953-8984/21/10/104204 [DOI] [PubMed] [Google Scholar]
  • 47.Bischoff F., Seufert K., Auwärter W., Joshi S., Vijaraghavan S., Écija D., Diller K., Papageorgiou A. C., Fischer S., Allegretti F., Duncan D. A., Klappenberger F., Blobner F., Han R., and Barth J. V., ACS Nano 7, 3139–3149 (2013). 10.1021/nn305487c [DOI] [PubMed] [Google Scholar]
  • 48.Diller K., Klappenberger F., Allegretti F., Papageorgiou A. C., Fischer S., Duncan D. A., Maurer R. J., Lloyd J. A., Oh S. C., Reuter K., and Barth J. V., J. Chem. Phys. 141, 144703 (2014). 10.1063/1.4896605 [DOI] [PubMed] [Google Scholar]
  • 49.Diller K., Klappenberger F., Allegretti F., Papageorgiou A. C., Fischer S., Wiengarten A., Joshi S., Seufert K., Ecija D., Auwärter W., and Barth J. V., J. Chem. Phys. 138, 154710 (2013). 10.1063/1.4800771 [DOI] [PubMed] [Google Scholar]
  • 50.Tseng T.-C., Urban C., Wang Y., Otero R., Tait S. L., Alcamí M., Écija D., Trelka M., Gallego J. M., Lin N., Konuma M., Starke U., Nefedov A., Langner A., Wöll C., Ángeles Herranz M., Martín F., Martín N., Kern K., and Miranda R., Nat. Chem. 2, 374–379 (2010). 10.1038/nchem.591 [DOI] [PubMed] [Google Scholar]
  • 51.Which does not seem likely for the example presented here, but could play a role for other complex compounds.
  • 52.Hofmann O. T., Rinke P., Scheffler M., and Heimel G., ACS Nano 9, 5391 (2015). 10.1021/acsnano.5b01164 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

See supplementary material for additional computational information, a comparison to experimental XPS data, the total DOS, the final state orbitals, and a comparison between the experiment and the MO-PDOS.


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