Core-level energies are frequently calculated to explain the X-ray photoelectron spectra of metal-organic hybrid interfaces. The current paper describes how such simulations can be flawed when modeling interfaces between physisorbed organic molecules and metals. The problem occurs when applying periodic boundary conditions to correctly describe extended interfaces and simultaneously considering core hole excitations in the framework of a final-state approach to account for screening effects. Since the core hole is generated in every unit cell, an artificial dipole layer is formed. In this work, we study methane on an Al(100) surface as a deliberately chosen model system for hybrid interfaces to evaluate the impact of this computational artifact. We show that changing the supercell size leads to artificial shifts in the calculated core-level energies that can be well beyond 1 eV for small cells. The same applies to atoms at comparably large distances from the substrate, encountered, for example, in extended, upright-standing adsorbate molecules. We also argue that the calculated work function change due to a core-level excitation can serve as an indication for the occurrence of such an artifact and discuss possible remedies for the problem.
Core-level energies are frequently calculated to explain the X-ray photoelectron spectra of metal-organic hybrid interfaces. The current paper describes how such simulations can be flawed when modeling interfaces between physisorbed organic molecules and metals. The problem occurs when applying periodic boundary conditions to correctly describe extended interfaces and simultaneously considering core hole excitations in the framework of a final-state approach to account for screening effects. Since the core hole is generated in every unit cell, an artificial dipole layer is formed. In this work, we study methane on an Al(100) surface as a deliberately chosen model system for hybrid interfaces to evaluate the impact of this computational artifact. We show that changing the supercell size leads to artificial shifts in the calculated core-level energies that can be well beyond 1 eV for small cells. The same applies to atoms at comparably large distances from the substrate, encountered, for example, in extended, upright-standing adsorbate molecules. We also argue that the calculated work function change due to a core-level excitation can serve as an indication for the occurrence of such an artifact and discuss possible remedies for the problem.
X-ray photoelectron spectroscopy (XPS), also known as electron
spectroscopy for chemical analyses (ESCA), is a widely used technique
to analyze the chemical structure of surfaces and interfaces, providing
qualitative and quantitative information about the chemical neighborhood
of specific atoms.[1,2] In addition to the chemical environment,
core-level binding energies are also influenced by the local electrostatic
potential at the position of the excited atom.[3−6] This effect is related to observations
for ionic crystals that the differences in Madelung energies between
the bulk and the surface can easily amount to ∼1 eV.[7] Electrostatic shifts are also of particular relevance
for interfaces in cases where large dipoles occur. This is very common
for hybrid organic–inorganic interfaces (relevant, e.g., for
the areas of organic and molecular electronics), where interfacial
potential shifts are typically associated with collective (also termed
cooperative) electrostatic effects.[4,5,8−12] Also in this context, electrostatically triggered core-level shifts
on the order of 1 eV have been observed for polar self-assembled monolayers
(SAMs) adsorbed on metal substrates.[3,4,13−15] For such systems, the electrostatic
shifts can be straightforwardly rationalized by the periodic arrangement
of polar entities at the interface. The superposition of their fields
causes a step in the electrostatic energy that changes not only the
sample work function but also the energetic positions of core levels
relative to the Fermi level of the substrate, as described in detail
in ref (5).The
interpretation of experimentally acquired spectra frequently
relies on first-principle simulations.[2,16] There is a
broad range of different approaches to simulate XP spectra.[2,17,18] The most simple strategy inspired
by Koopmans’ theorem[19] would be
to associate core-level binding energies with the orbital energies
of a ground-state calculation.[3,4,6,20−26] This approach, often referred to as the initial-state approach,
does not provide absolute values of the core-level binding energies
but yields relative shifts between different systems.[2,27−31] This is often sufficient for understanding molecular adsorbates,
like self-assembled monolayers with atoms at rather large distances
from a metal substrate. There, the trends obtained within the initial-state
approach typically agree very favorably with experimental data[3,4,14,20,32] and core hole screening effects can be accounted
for by electrostatic models.[33,34] The situation becomes
more involved when considering surface core-level shifts, adsorbates
in the immediate vicinity of the surface, or the effect of alloying:
also there, initial-state calculations have provided valuable insights.
Bagus et al.,[2] for instance, showed that
surface core-level shifts at Al and Cu surfaces (as representatives
for sp and transition metals) are primarily due to initial-state effects.[35,36] The neglect of (potentially site-dependent) screening in initial-state
calculations can, however, cause problems: for example, Methfessel
et al.[27] found for intermetallic MgAu compounds
that the inclusion of screening effects “changes the picture
drastically” with a sign change in the shift of the Mg 1s core
state; Pehlke and Scheffler[37] observed
“remarkably different” screening effects for the two
atoms in the surface dimers of Si and Ge; Stierle et al.[38] reported that the inclusion of final-state effects
changes the sign of surface core-level shifts in NiAl(110); and Birgersson
et al.[39] found that “a large variation
exists in the relative importance of initial- and final-state effects
for CO on Rh(111)” and stressed the “dangers of interpreting
core-level binding-energy shifts in a simple initial-state framework”.The resulting need to properly account for screening effects has
triggered the development of a variety of more sophisticated tools,[17,18] including Green’s function-based approaches,[40−42] techniques based on the GW approximation,[40,43,44] and the explicit simulation of excitation
processes,[45] for example, in the framework
of time-dependent density functional theory (DFT).[46−49] The most common strategies for
complex, extended systems are based (i) either on calculating the
difference in total energy between the (fully) ionized interface and
the interface in its ground state—typically referred to as
Δ self-consistent field (ΔSCF)[17,37,50−54]—(ii) or on the Slater–Janak transition-state
approximation.[17,53,55−63] The latter relies on calculating the (Kohn–Sham) orbital
energies of a partially ionized core level, whose occupation has been
reduced by 0.5 electrons. These approaches are typically referred
to as final-state approaches, as they include screening effects of
the core hole by the polarization of the electron cloud of the substrate.
In passing, we note that this screening can also be accounted for
semiquantitatively in initial-state calculations by employing a mirror
charge correction proportional to 1/[4ε(z – z0)] (with z – z0 denoting the distance of the excited core level from the
image plane of the substrate and ε referring to the dielectric
constant of the adsorbate layer).[4,14,20,34,64,65] One would, however, expect that
an explicit consideration of screening effects in the quantum-mechanicalsimulations through final-state approaches should be superior. This
suggests that the final-state calculations should typically provide
improved results not only for surface core-level shifts but also for
adsorbate layers. In the present paper, we will, however, show that
the final-state calculations in conjunction with periodic boundary
conditions (PBCs) can give rise to a potentially serious complication
that is due to the periodic repetition of the core hole in every unit
cell. In this context, we will focus on the practically relevant interfaces
between metal substrates and physisorbed organic molecules, in which
the distance of the generated core hole from the metal surface is
comparably large. We will also primarily discuss results obtained
within the Slater–Janak transition-state approximation.
Mapping the Interface on a Suitable Model System
and the Role of Collective Electrostatics
For understanding
possible pitfalls of final-state calculations,
it is crucial to consider yet another methodological aspect, namely,
how the interface in question is mapped onto an atomistic model system.
Usually, one possibility is to apply slab-type calculations, which
apply periodic boundary conditions (PBCs) with the metal substrate
represented by a two-dimensional (2D) periodic slab consisting of
a finite number of metal layers onto which molecules are adsorbed.
In the third dimension, periodic replicas of the slab are then decoupled
quantum-mechanically by introducing a wide enough vacuum gap and electrostatically
by a self-consistently determined dipole layer.[66] Alternatively, the system in question can be modeled by
a finite size cluster employing open boundary conditions.In
the following discussion, we will focus on PBCsimulations,
as they straightforwardly account for collective electrostatic effects,
which typically dominate the electronic properties of organic–inorganic
hybrid interfaces.[5,8,11,67] These effects arise from the omnipresence
of dipoles at surfaces and the fact that a periodic arrangement of
dipoles causes a step in the electrostatic energy, shifting the energy
landscapes above and below the dipole layer relative to each other
(for a tutorial review, see ref (5)). In this context, it should be mentioned that the actual
interfacial charge distributions are typically more complex than mere
dipoles but the latter term is still used as a “shorthand”
for the actualsituation, as often the true interface properties can
be conveniently mapped onto a dipole model.[5,9] For
organic–inorganic hybrid interfaces with typically rather large
interfacial dipoles, it is well established that these effects significantly
change substrate work functions and the alignment between electronic
levels at the interface.[5,8−11] Most important in the present context is that the shift in the electrostatic
energy also changes core-level binding energies. This has, for example,
been measured as well as modeled for self-assembled monolayers formed
by aliphatic[13,15,68,69] and aromatic molecules[3,15,20] containing polar entities embedded into
their backbones.As the above-described effects arise from the
superposition of
the electric fields of the periodically repeated dipoles at interfaces,
their description is intrinsically well compatible with 2D periodic
boundary conditions. Thus, it is also not surprising that PBCs are
commonly employed when modeling core-level excitations at organic–inorganic
hybrid interfaces.[4,5,7,20,61,62,70−73]In this context, it should be noted that cluster calculations
a
priori miss the above-described effects, as they do not consider the
periodically repeated polar entities present at the interface. As
the impact of the interfacial dipoles in neighboring unit cells is
primarily electrostatic in nature,[5] it
should, however, be rather straightforward to include them via suitable
electrostatic embedding schemes[74−78] (in analogy to what is done to account for the Madelung energies
when studying ionic crystals[6,7]). Thus, properly corrected
cluster calculations might indeed be an interesting strategy for modeling
the said interfaces when employing final-state approaches, as will
become evident from the data presented in this manuscript.In
fact, the key advantage of PBC calculations described above
can become their Achilles heel, when it comes to final-state calculations:
while periodic boundary conditions properly capture the impact of
periodically repeated polar entities present at the interface, they
also periodically replicate the core holes and the corresponding polarization
effects in final-state calculations. This then gives rise to artificial
collective electrostatic effects. A closely linked problem is that
the unit cells in PBC calculations are typically charge neutral to
prevent a divergence of the electrostatic energy (although there are
also certain approaches to embed charged unit cells within periodic
systems[78]). Thus the (half) electron excited
from the core level in the final-state calculation is usually not
entirely removed from the system but placed into the lowest unoccupied
state, which for metal substrates resides right at the Fermi level.[61,62,79−81] Adding a (fractional)
charge to a sufficiently thick metal slab should a priori not pose
a sizable problem, as it does not noticeably modify the electronic
structure of the substrate. Adding the excess charge to an unoccupied
state is considerably more serious for semiconducting and insulating
substrates, where the additional (half) electron is put into the conduction
band (or into unoccupied states of the adsorbed molecules, if they
are lower in energy). This is by no means consistent with what is
actually happening at the interface as a consequence of the core-level
excitation. The problem is further amplified by the fact that at semiconductor
surfaces the additional electrons can be artificially localized in
diffuse Rydberg orbitals close to the core holes, as described in
ref (6). As a remedy
to this specific problem, Bagus et al.[6] suggested compensating for the charge of the core hole via the virtual
crystal approximation[82−85] rather than adding charge to the conduction band.This, however,
does not solve the problem that for semiconducting
as well as metallic substrates the combination of the core hole and
the compensation charge creates a polar unit cell, which in conjunction
with periodic boundary conditions results in an artificial dipole
layer. The resulting spurious collective electrostatic effects can
have significant consequences, especially when the separation between
the core hole and the compensation charge is large, as will be discussed
below. In passing, we note that these are not the only spurious electrostatic
interactions PBC calculations can suffer from,[86] as similar complications also occur when modeling charged
defects.[87−90]
Methane on Aluminum: A Simple, Yet Instructive
Model System for Metal-Organic Hybrid Interfaces
To illustrate
the consequences of the spurious dipole layer, we
designed a prototypical test system for an interface consisting of
a metal substrate and a physisorbed organic molecule. It consists
of an Al(100) surface with methane molecules adsorbed in every 2 ×
2 surface unit cell (see Figure ). Methane represents the simplest organic molecule.
Its frontier levels are far from the Fermi level of the substrate.
Thus, Pauli pushback is the only origin of the actual interface dipole[5,91−94] and even when the (half) core hole has been formed, the lowest unoccupied
molecular orbital (LUMO) of the ionized adsorbate molecule will (in
most cases) remain well above the metal Fermi level. This prevents
a transfer of electrons from the metal into the molecular LUMO as
a consequence of the core-level excitation. Thus, one avoids Fermi-level
pinning,[5,91] which would further complicate the situation
(see below). Moreover, the small size of methane confines intramolecular
screening effects to a very small volume. Consequently, the simulation
artifacts arising from the spurious dipole layer can be shown without
significant interference from additional effects, like massive interfacial
charge transfer, Fermi-level pinning, or complex dielectric screening.
Aluminum has been chosen as the substrate to minimize computational
costs for our all-electron calculations. This is important, as to
clearly demonstrate the impact of artificial collective electrostatic
effects, the largest considered supercell contains 36 adsorbate molecules
and 432 substrate atoms. Moreover, the exact nature of the metal substrate
should only have a very minor impact on the results obtained here.
Figure 1
Largest
supercell of the methane/Al(100) interface investigated
in the present study. The black box indicates the smallest considered
supercell (2 × 2 surface unit cell of Al(100); base area of 33
Å2), while the colored box shows the biggest supercell
(12 × 12, with a base area of 1181 Å2 and containing
36 methane molecules). In the bottom image, only a part of the vacuum
gap is shown.
Largest
supercell of the methane/Al(100) interface investigated
in the present study. The black box indicates the smallest considered
supercell (2 × 2 surface unit cell of Al(100); base area of 33
Å2), while the colored box shows the biggest supercell
(12 × 12, with a base area of 1181 Å2 and containing
36 methane molecules). In the bottom image, only a part of the vacuum
gap is shown.As parent unit cell, we chose
a 2 × 2 surface unit cell of
Al(100) containing a single methane molecule. For bigger supercells,
the parent cell was repeated simultaneously in both the x- and y-directions, creating 4 × 4, 6 ×
6, 8 × 8, 10 × 10, and 12 × 12 supercells with identicaladsorbate densities and aspect ratios. The surface area of the investigated
cells (cf. Figure ) ranges from 33 Å2 (for the 2 × 2 unit cell
containing a single methane molecule) to 1181 Å2 (for
the 12 × 12 supercell containing 36 methane molecules). We emphasize
that the trends discussed below are not dependent on the adsorbate
density but rather are determined by the density of (half) core holes
created on the surface. This is shown explicitly in the Supporting
Information (Section 1), where we compare
calculations on supercells containing only a single adsorbate molecule
(which is also excited) with simulations on supercells with the same
methane coverage as in the parent 2 × 2 unit cell (where only
one carbon atom per supercell is excited). Both sets of calculations
yield essentially the same results, which implies that the relevant
quantity for the calculated core-level shift (at least for the present
model interface) is the excitation density rather than the coverage
of the adsorbate molecules. In the following, we will report data
obtained for the full-coverage case with a single methane molecule
per supercell excited, such that the inverse supercell size directly
corresponds to the excitation density. The only exception is a 3 ×
3 surface unit cell at slightly reduced coverage, which we calculated
to generate an additional data point with an excitation density between
the 2 × 2 and 4 × 4 cells.
Methodology
The quantum-mechanical modeling was done using density functional
theory (DFT) employing the all-electron, full-potential FHI-aims code
version 180808.[95−99] To perform the slab-type band-structure calculations on the interfaces,
the Perdew–Burke–Ernzerhof (PBE)[100,101] functional was used for describing exchange and correlation. Long-range
van der Waals interactions were accounted for by employing the Tkatchenko–Scheffler
dispersion correction.[102] All calculations
were done with tight settings for all atomic species (as supplied
by FHI-aims). Details on the corresponding basis functions are described
in the Supporting Information (Section 2.1). Reciprocal space was sampled by a Γ-centered 12 × 12
× 1 grid for the 2 × 2 unit cell and by smaller grids for
the larger cells (8 × 8 × 1 for the 3 × 3, 5 ×
5 × 1 for the 4 × 4, 4 × 4 × 1 for the 6 ×
6 and 8 × 8, and 2 × 2 × 1 for the 10 × 10 and
12 × 12 supercells). These grids are very well converged (despite
minor variations in the k-point density between different
supercells), as shown in the Supporting Information (Section 2.2). The change in the electron density between subsequent
iterations was converged to 10–5 e–, and the change of the total energy of the calculated system was
converged to 10–6 eV.Interfaces were modeled
employing the repeated-slab approach with
the Al substrate represented by three metal layers. These are rather
few layers but making this choice was inevitable to consistently calculate
also the largest supercells (the 12 × 12 supercell containing
612 atoms). The Supporting Information (Section 2.3) contains layer-convergence tests for the 2 × 2 unit
cell (the cell most strongly affected by the artifacts discussed here),
which show that for the current system also three-layer slabs yield
reliable core-level binding energies. The periodic replicas of the
slabs were quantum-mechanically and electrostatically decoupled by
a vacuum gap of 30 Å and a self-consistent dipole correction.[103] The geometries of the adsorbate molecules in
the 2 × 2 and 3 × 3 unit cells were fully relaxed until
the remaining forces on each atom were below 10–3 eV/Å. The geometries of the other supercells considered here
were directly derived from the 2 × 2 cells. The obtained adsorption
height amounts to 3.68 Å for the central C atom above the topmost
Al layer. Whether the top Al layers are relaxed only negligibly impacts
the obtained results (see the Supporting Information, Section 2.4); thus, we stick to unrelaxed surface
layers.The final-state calculations were done within the Slater–Janak
transition-state approximation.[55−59] To that aim, half an electron is removed from the carbon 1s core
orbital of one of the methane molecules in the supercell. The Slater–Janak
theorem has a rigorous theoretical foundation for finite size systems,[104] but when employing periodic boundary conditions,
a complication arises, as the unit cell needs to stay charge neutral
(see the discussion in Section ). Thus, in that case, the excited charge is moved to the
lowest unoccupied level, which for the metal substrate considered
here corresponds to a state right at the Fermi level. Notably, the
region of electron accumulation following the core-level excitation
is found right above the metal surface underneath the excited molecule,
as will be discussed below. Correspondingly, one is dealing with one
excitation per supercell and an excitation density that is inversely
proportional to the size of the supercell. As each core hole excitation
creates a dipole at the surface, this inverse relation also applies
to the dipole density.For supercells, special care had to be
taken that in the ground-state
calculations the orbital from which the charge was eventually removed
was localized on only one carbon atom. To achieve that, in most cases,
the translational symmetry within the supercells had to be broken
by moving one methane molecule by −0.01 Å closer to the
surface. The occupation of the selected orbital was then reduced and
kept fixed in the following self-consistent field (SCF) cycles. All
calculations were performed in a spin-unpolarized manner, as commonly
done for such core-level excitation simulations.[6] Spin-polarized calculations on selected test systems yield
equivalent trends, as shown in the Supporting Information (Section 2.5).In addition to employing
the Slater–Janak transition-state
approximation, we also performed ΔSCF calculations on selected
systems, as this approach has also been used repeatedly in conjunction
with periodic boundary conditions for calculating core-level excitations
at interfaces and surfaces.[17,51,53,54,63] In the ΔSCF approach, the core-level binding energy is obtained
as the difference in total energy between the system with, in this
case, a full electron excited from the core level and the system in
its ground-state configuration. Notably, while in ΔSCF calculations
on finite size clusters, the excited electron can be removed from
the system, when employing periodic boundary conditions it is again
typically put into the lowest
unoccupied orbital. If that orbital is localized in the substrate,
this again results in a spurious dipole layer. In the ΔSCF calculations,
due to the excitation of a full electron, the magnitude of the dipole
is essentially doubled compared to the Slater–Janak case (unless
this is prevented by pinning effects; see below).For the analysis
and visual representation of the data, Python
was used in conjunction with NumPy[105] and
matplotlib.[106] Ovito[107] was applied for generating the three-dimensional (3D) view
of the system, and VESTA[108] and XCrySDen[109] were used for producing isodensity plots. The
figures were compiled with GIMP.[110] The
graphs in Figures b and 6 have been compiled using Mathematica,
version 11.3 from Wolfram Research.
Figure 2
(a) C 1s core-level binding energy of
methane adsorbed on Al(100)
as a function of the chosen supercell size for calculations employing
the final-state approach within the Slater–Janak transition-state
approximation. (b) Electrostatic energy landscape for an electron
generated by an isolated pair of a negative and a positive point charge
(top panel) and by two oppositely charged, square periodic, 2D arrays
of point charges (three lower panels). The distances between the charges
in the arrays in the three lower panels scale as 3:2:1, and their
packing densities scale as 1/9:1/4:1. While the electron electrostatic
energy becomes constant for the isolated dipole in the top panel,
there is a step in energy for the pairs of periodic charge arrays.
These steps are schematically indicated by the blue arrows.
Figure 6
(a) Dependence
of the point-charge-derived correction energy calculated
employing eq , Ecorr, on the size of the unit cell, with ε
set to 2.1. The vertical lines denote supercells considered in the
present manuscript. In the simulation, the actual lattice constant
of our model system (5.728 Å), the optimized adsorption distance
of 3.678 Å, an image plane of 1.59 Å above the topmost Al
layer,[135] and half an elementary charge
at every point charge position have been used. (b) Dependence of the
point charge-derived correction energy calculated employing eq , Ecorr, on the effective dielectric constant describing screening
processes at the interface. The vertical line at a dielectric constant
of 2.1 indicates the situation quoted in the main manuscript. The
simulations have been performed using Mathematica.[136]
(a) C 1s core-level binding energy of
methane adsorbed on Al(100)
as a function of the chosen supercell size for calculations employing
the final-state approach within the Slater–Janak transition-state
approximation. (b) Electrostatic energy landscape for an electron
generated by an isolated pair of a negative and a positive point charge
(top panel) and by two oppositely charged, square periodic, 2D arrays
of point charges (three lower panels). The distances between the charges
in the arrays in the three lower panels scale as 3:2:1, and their
packing densities scale as 1/9:1/4:1. While the electron electrostatic
energy becomes constant for the isolated dipole in the top panel,
there is a step in energy for the pairs of periodic charge arrays.
These steps are schematically indicated by the blue arrows.
Results and Discussion
Impact of the Size of the Surface Unit Cell
on the Calculated Core-Level Shifts
Figure a shows the calculated C 1s core-level binding
energies as a function of the supercell size for the methane/Al(100)
interface. Applying the Slater–Janak transition-state approximation,
they are obtained as the orbital energy of the partially ionized C
1s orbital relative to the system’s Fermi energy. The core-level
binding energies vary by as much as 1.2 eV, with the most negative
binding energy obtained for the 2 × 2 cell and the least negative
binding energy calculated for the 12 × 12 cell. This happens
in spite of the identical chemical nature of the studied interface
for all supercells. The only appreciable difference between the different
supercells is the density of the created core holes (i.e., the excitation
density) with only one C 1s core hole generated per supercell.The screening charge in the metal is found right above the topmost
metal layer, as shown in the Supporting Information (Section 3). It is localized exclusively below the ionized
methane molecule, such that an effective interfacial dipole is created
(which is modified by screening effects within the methane molecule).
Due to the required charge neutrality (see above), the screening charge
can be associated with the half-electron added to the system right
at the Fermi level, although even if the half-electron was entirely
removed from the system, the metal would be polarized by the core
hole.The main problem is that the dipole formed by the core
hole and
the screening/compensation charge in the metal exists in every unit
cell due to the periodic boundary conditions. This is in sharp contrast
to the actualsituation in the experiments, where neighboring core
holes with their associated polarization charges are well separated.
As a consequence of collective electrostatic effects,[3,4,20] the artificial array of core
holes and their countercharges in the metal creates a gradient of
the electrostatic energy across the interface. This is shown schematically
in Figure b, where
we compare the electrostatic energy of an isolated pair of a negative
and positive point charge (top panel), with the situation for 2D charge
arrays of varying density. While for the single pair, the energy approaches
a constant value far away from the point charges, there is a step
in the electrostatic energy between the region left of the negative
and right of the positive charges for all 2D charge arrays. As a consequence,
the array of core holes and polarization charges causes a shift of
all electronic states (including the core levels) in the adsorbate
layer relative to the Fermi level of the substrate. The magnitude
of that shift depends on the density of core holes, as shown in the
three lower panels of Figure b. As discussed in the Supporting Information (Section 5), it also scales linearly with the
amount of transferred charge (i.e., the effect doubles for a full-
compared to a half core-hole calculation). This is insofar relevant,
as Williams et al.[57] suggested that removing
2/3 instead of 1/2 of an electron (as in the original formulation
by Slater) would yield numerically more accurate values for the core-level
binding energies. According to the data in Section 5 of the Supporting Information, this would a priori increase
the artificial electrostatic shift of the orbital energy by a factor
of 4/3. It would, however, not increase the impact of artificial collective
electrostatics on the core-level binding energy, as in the model by
Williams et al., the orbital energy for the partially ionized system
enters the expression for the ionization energy weighted by a factor
of 3/4. Equivalent considerations also apply to approaches relying
on the calculation of the slope of the dependence of the orbital energy
on the fractional occupation, which have also been suggested by Williams
et al. in ref (57).Notably, not only final-state calculations based on the Slater–Janak
transition-state approximation are adversely affected by the presence
of the artificial, excitation-induced dipole layer, but also ΔSCF-type
final-state calculations are significantly impacted, as is shown in
the Supporting Information (Section 6).
In that case, the origin of the problem is the additional energy cost
associated with the creation of an artificial dipole layer instead
of a single dipole.The above considerations show that both
types of final-state calculations
(ΔSCF and Slater–Janak) are adversely affected by artificial
collective electrostatic effects, which become stronger for high excitation
densities. Naturally, the problem can be mended by considering larger
supercells. In fact, as shown in Figure , for the system considered here, the core-level
binding energy obtained with the 8 × 8 supercell is within ∼0.01
eV of the result for the 10 × 10 and 12 × 12 cells. This
means that for a methane molecule in the immediate vicinity of the
metal substrate, the calculation of the 8 × 8 supercell containing
16 molecules can be considered to be energetically converged.
Impact of the Creation of the Core Hole on
the Global Energy Landscape
As a next step, we discuss the
direct impact of the excitation-induced dipoles on the electrostatic
energy in more detail. As a starting point for that discussion, Figure a shows the plane-averaged
electrostatic energies for the ground-state configurations of the
2 × 2 and 12 × 12 supercells. They coincide, underlining
the identical physical and chemical natures of the two systems. The
minima in the electrostatic energy at the positions of the Al planes
as well as in the region of the adsorbate molecule are well resolved,
and the minor methane-induced shift in the sample work function due
to Pauli pushback[5,91,111,112] can be inferred from the energetic
difference of the vacuum levels left and right of the slab (indicated
by the dashed black line).
Figure 3
(a) Plane-averaged electrostatic energy of the
methane/Al(100)
interface for the smallest (2 × 2; dotted blue line) and largest
(12 × 12; solid pink line) cells. The work function on the methane
side of the slab amounts to 4.31 eV, while on the Al side it is 4.40
eV (yielding an adsorption-induced work function change of 0.09 eV;
see the dashed horizontal line). (b) Calculated change in the plane-averaged
electrostatic energy between a final-state calculation (including
a half core-hole excitation), Ees,fs,
and the ground state, Ees,gs for different
excitation densities caused by different supercell sizes. The latter
are denoted directly in the graph (the lines for the 8 × 8 (violet)
and 10 × 10 (brown) cells are not labeled due to the limited
available space). (c) Work function, Φ, of the systems with
a half core-hole excitation per supercell on the methane side of the
slab. The work function obtained in the ground-state calculation is
indicated by the dashed black line at 4.31 eV. The work functions
on the Al side essentially do not change, as shown in the Supporting
Information (Section 7). The values obtained
with the simple electrostatic model in the main text are indicated
as short horizontal lines for the corresponding supercells.
(a) Plane-averaged electrostatic energy of the
methane/Al(100)
interface for the smallest (2 × 2; dotted blue line) and largest
(12 × 12; solid pink line) cells. The work function on the methaneside of the slab amounts to 4.31 eV, while on the Alside it is 4.40
eV (yielding an adsorption-induced work function change of 0.09 eV;
see the dashed horizontal line). (b) Calculated change in the plane-averaged
electrostatic energy between a final-state calculation (including
a half core-hole excitation), Ees,fs,
and the ground state, Ees,gs for different
excitation densities caused by different supercell sizes. The latter
are denoted directly in the graph (the lines for the 8 × 8 (violet)
and 10 × 10 (brown) cells are not labeled due to the limited
available space). (c) Work function, Φ, of the systems with
a half core-hole excitation per supercell on the methaneside of the
slab. The work function obtained in the ground-state calculation is
indicated by the dashed black line at 4.31 eV. The work functions
on the Alside essentially do not change, as shown in the Supporting
Information (Section 7). The values obtained
with the simple electrostatic model in the main text are indicated
as short horizontal lines for the corresponding supercells.The situation changes fundamentally in the presence
of core hole
excitations (again half a core hole per supercell). This is shown
in Figure b by the
modification of the electrostatic energy due to the excitation of
a half core-hole per unit cell (including the corresponding compensation
charge in the metal). In particular, one sees that for smaller supercells
(i.e., higher excitation and dipole densities in the final-state calculations)
the change in the averaged electrostatic energy is more pronounced.
Notably, the majority of that change occurs between the region of
electron accumulation right above the topmost metal layer and the
position of the carbon atom of the adsorbed methane molecules. When
analyzing the work function of the system in the presence of a core
hole excitation (given as the difference between the Fermi energy
and the electrostatic energy far above the surface), one observes
a strong, supercell-dependent change, as shown in Figure c. Even though this work function
is not of immediate relevance for the studied interface, it is still
useful for judging the collective electrostatic artifact: the overall
trend for the evolution of the work function shift in Figure c is similar to that for the
core-level binding energies in Figure a and, as discussed in the Supporting Information (Section 4), it is essentially inversely proportional
to the size of the unit cell (depolarization effects notwithstanding).In fact, it is even rather straightforward to obtain a rough estimate
of the work function change due to the core-level excitation solely
based on electrostatic and geometric arguments, i.e., without performing
any quantum-mechanicalsimulations (see the Supporting Information, Section 4.2). Such a model yields the values
indicated by the short horizontal lines in Figure c, which agree rather well with the actual
work function changes and, thus, provide a first handle for estimating
the adverse impact of the artificial electrostatic effects discussed
here.In this context, it is, however, worthwhile mentioning
that the
absolute magnitude of the work function shift is significantly larger
than the shift of the core-level binding energies (as can be inferred
from a comparison of Figures a and 3c). To understand that, one
has to analyze the difference between the electrostatic energy at
the location of the core level and in the far-field, high above the
interface.
Local Impact of the Dipoles
As a
first step for analyzing locality effects, it is useful to provide
a spatially resolved illustration of the differences in the change
in electrostatic energy that occurs due to the presence of an isolated
core hole and due to a dense layer of core holes. To that aim, Figure compares the 2D
cross sections of that energy change for the 2 × 2 and 12 ×
12 cells. While for the 12 × 12 supercell, one essentially obtains
the situation of an isolated dipole, which affects the energy landscape
only locally, for the 2 × 2 cell, the above-discussed global
shift of the electrostatic energy also (infinitely) far above the
metal surface occurs.
Figure 4
Calculated difference in electrostatic energy between
the final-state
and the ground-state calculations for the 2 × 2 (top) and the
12 × 12 (bottom) cells. The values are plotted for a plane parallel
to one of the unit cell axes, containing the nuclei of the C atoms.
The overlaid atomic structure of the interface is shaded in the right
half of the plots to better resolve changes in electrostatic energy
close to the nuclei. Furthermore, only part of the 12 × 12 supercell
is shown and the 2 × 2 unit cell is repeated four times in the
vertical direction.
Calculated difference in electrostatic energy between
the final-state
and the ground-state calculations for the 2 × 2 (top) and the
12 × 12 (bottom) cells. The values are plotted for a plane parallel
to one of the unit cell axes, containing the nuclei of the C atoms.
The overlaid atomic structure of the interface is shaded in the right
half of the plots to better resolve changes in electrostatic energy
close to the nuclei. Furthermore, only part of the 12 × 12 supercell
is shown and the 2 × 2 unit cell is repeated four times in the
vertical direction.Figure also reveals
that the change in electrostatic energy varies significantly in the
lateral direction, especially at low coverage. A detailed analysis
of the impact of these lateral fluctuations shows that they are responsible
for the much smaller artificial shifts in core-level binding energies
compared to the shifts in work functions (see above). This is a direct
consequence of core-level binding energies being sensitive to the
local electrostatic energy at the position of the orbital from which
the electron is excited.[3,8,20] In contrast, the work function measures the electrostatic situation
in the far-field, such that the lateral fluctuations of the potential
energy are no longer relevant. This aspect is of practical relevance
as it, for example, results in core-level shifts in polar SAMs becoming
sensitive to sample inhomogenieties.[20] In
the present context, it means that averaging the electrostatic energy
over the entire unit cell (like in Figure b) very well characterizes the situation
for the work function but fails to properly capture the “locality”
of core-level shifts. To show that also quantitatively, one has to
analyze the electrostatic energy averaged over a much smaller area
than in Figure b.
This is done in the Supporting Information (Section 8), with the results fully supporting locality as the main
reason for the smaller artifacts in the core-level energy calculations.
Impact of the Adsorption Distance on Core-Level
Energies
The next aspect to be addressed is to what extent
the discussed artifact depends on the geometrical structure of the
interface. In particular, we will address how spurious collective
electrostatic effects depend on the distance between the metal surface
and the atom probed by XPS. This is, for example, relevant when bulky
side groups lift the backbone of an adsorbed molecule from the metal
substrate. It is also relevant for upright-standing adsorbates,[113−119] e.g., in self-assembled, covalently bonded monolayers.[120−126] To qualitatively assess the situation, we systematically varied
the distance between the methane molecule and the surface. In this
way, effects arising from (system-specific) screening by the upright
molecular backbones between the probed atom and the substrate are
not accounted for. Still, the model serves to illustrate the impact
of an increased charge-transfer distance.Figure shows the dependence of the core-level binding energy on
the adsorption distance of the methane molecules (specified relative
to the equilibrium distance) for differently sized supercells. This
plot reveals several interesting aspects:
Figure 5
(a) C 1s core-level energies for methane on Al(100) relative to
the Fermi level for different unit cell sizes and different adsorption
heights of the methane molecule (blue: 2 × 2 unit cell, orange:
3 × 3 supercell, green: 4 × 4 supercell, red: 6 × 6
supercell, violet: 8 × 8 supercell, brown: 10 × 10 supercell).
No data points for 12 × 12 supercells could be included in this
plot, as for this very large cell we failed to converge the SCF cycle
in the calculations for increased adsorption distances. (b) Difference
in core-level energies between the 10 × 10 and the 4 × 4
supercells.
The data points for the 10 ×
10 and 8 × 8 supercells essentially coincide at small distances.
This implies that there the 8 × 8 and 10 × 10 data display
the true effect of core hole and screening. For larger distances,
the deviations between the 10 × 10 and 8 × 8 unit cells
increase, and at 3 Å above the equilibrium distance (i.e., at
an adsorption distance of 6.69 Å) they exceed 0.1 eV; notably,
at that adsorption distance also the excitation-induced work function
change reaches 0.5 eV, even in the 10 × 10 cell. This is attributed
to the growth of the dipole per unit cell upon increasing the charge-transfer
distances. In view of the observation that at large adsorption distances
even the 10 × 10 data are impacted by artificial collective electrostatic
shifts, we refrain from fitting the data with simple electrostatic
image charge corrections (where the shift of the core-level binding
energies would be inversely proportional to the distance of the excited
atom from the mirror charge plane).[34]The calculated distance
dependence
of the core-level binding energies clearly deteriorates for the 6
× 6 and 4 × 4 unit cells. In fact, the deviations between
the 10 × 10 simulations and the 4 × 4 simulations skyrocket
for larger distances, as is shown in Figure b. These results imply that to mitigate the
adverse impact of artificial collective electrostatic effects, at
larger adsorption distances, one would have to simulate even larger
supercells than those studied here. Considering that already the calculation
of the 10 × 10 cell is reaching the limits of present computational
capacities, studying further enlarged cells is far from trivial. In
fact, we failed to achieve convergence in the SCF procedure for 12
× 12 cells at larger distances.For the smallest considered cells,
the situation changes fundamentally. Especially for the 2 × 2
unit cell, the core-level binding energy becomes essentially independent
of the adsorption distance. This behavior is reminiscent of the situation
encountered for Fermi-level pinning,[5,30,91,112,127−132] as for the smallest unit cells, the shift in electrostatic energy
due to the artificial dipole layer becomes so strong that the lowest
unoccupied states of the adsorbed molecules would get pushed below
the Fermi level of the substrate. This is counteracted by electrons
being transferred from the metal into the formerly unoccupied molecular
states, significantly modifying the net charge rearrangements (see
the Supporting Information, Section 9).
The ensuing counterdipole prevents any further increase of the potential
step across the interface. Consequently, the energetic positions of
the electronic states become independent of the adsorption distance.
Such a behavior is inconsistent with the experimentalsituation for
two reasons: first, at least in the present model system, the pinning
situation is solely a consequence of the artificial collective electrostatic
effects resulting from unrealistically high excitation densities in
the simulations. Second, even if the core hole locally shifted unoccupied
states below the Fermi level (for example, because of a much smaller
energy gap of the adsorbate), for many interfaces, the time scales
of the photoelectron experiments[133,134] would be
such that the (partial) filling of these states with electrons would
be too slow to affect the measured kinetic energies of the escaping
electrons (and, thus, the core-level binding energies).(a) C 1s core-level energies for methane on Al(100) relative to
the Fermi level for different unit cell sizes and different adsorption
heights of the methane molecule (blue: 2 × 2 unit cell, orange:
3 × 3 supercell, green: 4 × 4 supercell, red: 6 × 6
supercell, violet: 8 × 8 supercell, brown: 10 × 10 supercell).
No data points for 12 × 12 supercells could be included in this
plot, as for this very large cell we failed to converge the SCF cycle
in the calculations for increased adsorption distances. (b) Difference
in core-level energies between the 10 × 10 and the 4 × 4
supercells.An aspect that is somewhat surprising
about the pinned situation
for the 2 × 2 unit cell is that pinning occurs at core-level
binding energies that are significantly less negative than for some
of the considered 3 × 3 and 4 × 4 cells. On the one hand,
we attribute this to the different degrees of localization of the
core levels and the much more delocalized unoccupied states at which
pinning occurs. Consequently, the different orbitals “probe”
shifts in the electrostatic energy in different spatial regions and
are, thus, differently affected. On the other hand, we observe a more
broadened low-lying unoccupied density of states in the 2 × 2
cell compared to the larger supercells. This can also result in Fermi-level
pinning already for smaller energetic shifts. The relevant factor
here is that pinning occurs at the unoccupied states primarily localized
at the excited molecules, as these lie lowest in energy due to the
dipole-induced shifts. For the 2 × 2 cell, all adsorbate molecules
are excited and, thus, all unoccupied states are shifted by the same
amount, favoring a strong intermolecular coupling. Conversely, for
4 × 4 and larger supercells, all excited molecules are surrounded
by molecules in their ground state, effectively preventing such a
coupling. A more detailed discussion of the impact of the excitation
density and the adsorption distance on the shape of the unoccupied
density of states can be found in the Supporting Information (Section 9). There, one also finds a discussion
of the impact of the choice of the basis set on the unoccupied states
of methane, which can quantitatively (albeit not qualitatively) change
the situation.
Possible Strategies for
Avoiding Spurious
Electrostatic Effects in Final-State Calculations Employing Periodic
Boundary Conditions
Considering that the discussed artifacts
are electrostatic in nature, the question arises whether one could
also devise an electrostatic correction scheme. The simplest approach
would be to employ a plate-capacitor model like that used in Section . Such a correction
only describes the situation in the far-field (i.e., at a sufficient
distance from the interface) and does not reproduce the shift of the
local electrostatic potential at the position of the excited atom.
The latter is, however, what counts for the core-level shifts, as
discussed in Section .A solution to the locality problem would be to explicitly
consider the spurious shifts in electrostatic energy due to the periodic
replicas of the (half) core holes and their image charges.[87,103] In view of the employed dipole correction (see Section ), periodicity is considered
here only in the directions parallel to the surface. The resulting
correction for the electrostatic energy of an electron at the position
of the central core hole placed at the origin of the coordinate system
(at i = j = 0), Ecorr, is then given byHere,
a square lattice (like in the studied
model system) with lattice constant a is assumed.
For the half core-hole calculations, the charge of the core hole and
the mirror charge are both set to Q = 0.5e (with
e being the elementary charge). D corresponds to
the distance between a core hole and its mirror charge and is given
by D = 2(z – z0), where z denotes the position of the
core hole above the top metal layer and z0 refers to the position of the image plane set to 1.59 Å for
Al(100).[135] ε is an effective dielectric
constant that describes the screening within the adsorbate layer.
When setting ε to 2.1, one obtains correction energies of 1.20
and 0.17 eV for the 2 × 2 and 4 × 4 supercells, respectively.
This, indeed, provides an excellent correction of the artificial shifts
in Figure (see also Figure a). A complication
in this context is, however, that the correct value of ε is
a priori not known, while especially for small unit cells its value
rather significantly impacts the correction (see Figure b).(a) Dependence
of the point-charge-derived correction energy calculated
employing eq , Ecorr, on the size of the unit cell, with ε
set to 2.1. The vertical lines denote supercells considered in the
present manuscript. In the simulation, the actual lattice constant
of our model system (5.728 Å), the optimized adsorption distance
of 3.678 Å, an image plane of 1.59 Å above the topmost Al
layer,[135] and half an elementary charge
at every point charge position have been used. (b) Dependence of the
point charge-derived correction energy calculated employing eq , Ecorr, on the effective dielectric constant describing screening
processes at the interface. The vertical line at a dielectric constant
of 2.1 indicates the situation quoted in the main manuscript. The
simulations have been performed using Mathematica.[136]This raises the question of whether
one could avoid the spurious
dipoles in neighboring unit cells by achieving charge neutrality in
every unit cell via some static compensation charge rather than by
placing the excited (half) electron into an unoccupied level. A homogeneous
background charge often employed in bulk calculations[137] will typically still create an artificial dipole
layer, whose magnitude depends on the size of the unit cell and, thus,
on the size of the vacuum gap separating periodic replicas of the
slab.[83] This should become particularly
problematic when comparing core-level excitations from atoms at different
positions within the unit cell. Another possibility would be to account
for the compensation charge via the virtual crystal approximation.[82−85] As shown by Bagus et al.,[2] this eliminates
certain artifacts occurring when the compensation charge is put into
the conduction band of a semiconductor substrate (see Section 1). As it does not eliminate the spurious
interfacial dipole layer, it, however, also does not remove the spurious
potential drop between the substrate and the adsorbate.A strategy
for avoiding that drop would be to put compensation
charges into a charged sheet above the adsorbate layer (in analogy
to the charge reservoir electrostatic sheet technique (CREST) used
to model the band bending in the extended depletion regions of semiconductor
surfaces; albeit there, the charged sheet is placed below the slab).[138,139] This would, however, also result in an incorrect description of
the screening potential between the actually generated core hole and
the metal substrate, as the charged sheet tends to concentrate the
electric field in the region between the core hole and the sheet.
In the region of the metal, this results in a too small field due
to the core hole, with the deviation being particularly large for
smaller unit cells (like the 2 × 2 cell, as shown in the Supporting
Information, Section 11).Likewise,
the problem could not be solved by putting the compensation
charge into some higher-lying unoccupied levels within the molecules.
This would largely avoid the artificial dipoles, but it would also
render all molecules essentially charge neutral (including the one
that is actually excited); i.e., in such a calculation, screening
by the metal would be eliminated altogether, which would again not
represent the actualsituation encountered in an experiment.Thus, we envision four strategies (with varying strengths and weaknesses)
that have the potential to either avoid or correct for the spurious
collective electrostatic effects discussed in this paper:Employing the electrostatic
correction
scheme described at the beginning of this section.Increasing the supercell size in
final-state simulations applying periodic boundary conditions until
the artificial core-level shifts are below a certain threshold (see
above). In this process, the coverage has to be kept at its initial
value while exciting only one atom per supercell. Converging the supercell
size will typically be feasible for flat-lying adsorbates, where charge-transfer
distances (and, thus, spurious dipoles) are rather small (albeit at
significantly increased computational costs). For studying upright-standing
adsorbate layers of spatially extended molecules, which are often
relevant for practical applications, the required supercells will,
however, often be computationally not accessible.Especially for atoms far from the
surface, initial-state calculations with an a posteriori mirror charge
correction proportional to 1/(4ε(z – z0)) are a viable strategy to account for screening
effects. We have, in fact, routinely and successfully employed this
approach for modeling core-level shifts in self-assembled monolayers.[4,14,20,32,68] This approach, however, poses the disadvantage
that it describes screening on purely electrostatic grounds, disregarding,
e.g., quantum-mechanical effects, which might become relevant especially
for atoms that are part of or close to the surface (see Section 1). Moreover, the determination of the
relevant parameters (like the dielectric constant of the monolayer)
is not necessarily straightforward.Another strategy to avoid spurious
electrostatics would be to refrain from employing periodic boundary
conditions and to study finite size clusters as a model for the interface.
True collective electrostatic effects at the interface could then
be accounted for by properly designed electrostatic embedding schemes,[76−78] like the “periodic electrostatic embedded cluster method”
(PEECM).[74,75] As far as the properties of the extended
interface vs the cluster are concerned, such corrections would, however,
only account for purely electrostatic effects.
Conclusions
The above data show that
spurious electrostatic effects can come
into play when simulating XP spectra within the final-state framework
in combination with periodic boundary conditions. The screening/compensation
charge in the metal creates a dipole, which due to the periodic boundary
conditions is spuriously repeated in every unit cell. This creates
an artificial, dense layer of dipoles, which shifts all electronic
states in the adsorbed molecule relative to the metal Fermi level.
Consequently, also their core-level binding energies are increased.
Therefore, one observes a pronounced shift in the calculated core-level
binding energies as a function of the employed supercell size (and
the resulting excitation density). For the methane/Al(100) system
studied here, this shift amounts to 1.2 eV when comparing calculations
for 2 × 2 cells (with an area of 33 Å2) and 12
× 12 cells (with an area of 1081 Å2), when in
each cell a single molecule is ionized. A similar effect is obtained
when comparing the total energies of the systems in their ground and
excited states (i.e., when applying the ΔSCF procedure; see
the Supporting Information, Section 6).Another quantity that is significantly changed by the interfacial
dipole layer due to the core-level excitations is the work function
obtained in the final-state calculations. Even though this quantity
is not of practical relevance for the actual experimentalsituation,
it is still useful for illustrating the artifacts discussed in this
paper. Moreover, a significant work function change in a final-state
calculation is a strong indication for artificial core-level shifts.
This has the advantage that one can predict, whether problems occur,
already on the basis of a single calculation without the need to converge
supercell sizes.When increasing the distance of the excited
core hole from the
metal substrate, the artificial collective electrostatic effects increase
even further, such that performing trustworthy final-state calculations
in conjunction with periodic boundary conditions becomes virtually
impossible.For cases in which converging the lateralsize of
the unit cell
in final-state calculations becomes impossible, we suggest a simple
electrostatic correction, whose application, however, requires a reasonable
guess for the effective dielectric constant of the interface. Alternative
strategies for studying such situations would be to perform initial-state
calculations with an a posteriori mirror charge screening or to join
cluster calculations with electrostatic embedding schemes, where each
of the suggested approaches has its own strengths and limitations.
Authors: Christoph Lercher; Christian Röthel; Otello Maria Roscioni; Yves Henri Geerts; Quan Shen; Christian Teichert; Roland Fischer; Günther Leising; Michele Sferrazza; Gabin Gbabode; Roland Resel Journal: Chem Phys Lett Date: 2015-06-16 Impact factor: 2.328