Ermin Malic1, Heiko Appel1, Oliver T Hofmann1, Angel Rubio2. 1. Fritz-Haber-Institut der Max-Planck-Gesellschaft , Faradayweg 4-6, D-14195 Berlin, Germany. 2. Fritz-Haber-Institut der Max-Planck-Gesellschaft , Faradayweg 4-6, D-14195 Berlin, Germany ; Nano-Bio Spectroscopy Group and ETSF Scientific Development Centre, Universidad del Pais Vasco , Avenida de Tolosa 72, E-20018 Donostia, Spain.
Abstract
Carbon nanostructures are ideal substrates for functionalization with molecules since they consist of a single atomic layer giving rise to an extraordinary sensitivity to changes in their surrounding. The functionalization opens a new research field of hybrid nanostructures with tailored properties. Here, we present a microscopic view on the substrate-molecule interaction in the exemplary hybrid material consisting of graphene functionalized with perylene molecules. First experiments on similar systems have been recently realized illustrating an extremely efficient transfer of excitation energy from adsorbed molecules to the carbon substrate, a process with a large application potential for high-efficiency photovoltaic devices and biomedical imaging and sensing. So far, there has been no microscopically founded explanation for the observed energy transfer. Based on first-principle calculations, we have explicitly investigated the different transfer mechanisms revealing the crucial importance of Förster coupling. Due to the efficient Coulomb interaction in graphene, we obtain strong Förster rates in the range of 1/fs. We investigate its dependence on the substrate-molecule distance R and describe the impact of the momentum transfer q for an efficient energy transfer. Furthermore, we find that the Dexter transfer mechanism is negligibly small due to the vanishing overlap between the involved strongly localized orbital functions. The gained insights are applicable to a variety of carbon-based hybrid nanostructures.
Carbon nanostructures are ideal substrates for functionalization with molecules since they consist of a single atomic layer giving rise to an extraordinary sensitivity to changes in their surrounding. The functionalization opens a new research field of hybrid nanostructures with tailored properties. Here, we present a microscopic view on the substrate-molecule interaction in the exemplary hybrid material consisting of graphene functionalized with perylene molecules. First experiments on similar systems have been recently realized illustrating an extremely efficient transfer of excitation energy from adsorbed molecules to the carbon substrate, a process with a large application potential for high-efficiency photovoltaic devices and biomedical imaging and sensing. So far, there has been no microscopically founded explanation for the observed energy transfer. Based on first-principle calculations, we have explicitly investigated the different transfer mechanisms revealing the crucial importance of Förster coupling. Due to the efficient Coulomb interaction in graphene, we obtain strong Förster rates in the range of 1/fs. We investigate its dependence on the substrate-molecule distance R and describe the impact of the momentum transfer q for an efficient energy transfer. Furthermore, we find that the Dexter transfer mechanism is negligibly small due to the vanishing overlap between the involved strongly localized orbital functions. The gained insights are applicable to a variety of carbon-based hybrid nanostructures.
The continuing
trend to miniaturization
of devices in modern technology leads to fundamental physical limits
of applied materials.[1,2] The search for new materials and
new functionalities brings hybrid systems into the focus of current
research.[3,4] They consist of low-dimensional nanostructures
functionalized with single molecules combining the remarkable properties
of both subsystems. In particular, carbon nanostructures are excellent
substrates, since they offer a variety of metallic and semiconducting
systems showing a large sensitivity to changes in their surrounding.[5−200] Noncovalent functionalization based on π–π stacking
preserves the intrinsic properties of the substrate to a large extent.[9] At the same time, the interaction with the attached
molecules induces additional properties desired for specific technological
applications.[10−18]First experiments have been realized illustrating the successful
functionalization of carbon nanotubes with photoactive molecules suggesting
the design of efficient carbon-based molecular switching.[10,12,19−21] Recently, a
strong excitation energy transfer has been observed in perylene- and
porphyrin-functionalized carbon nanotubes suggesting efficient photodetection
and light harvesting.[22−24] First studies on functionalized graphene also reveal
high energy transfer rates between the attached molecules and the
graphene layer.[25] The combination of unique
transport properties of graphene, including ballistic transport and
strong light absorption of organic molecules, results in new hybrid
nanostructures with large application potential for high-efficiency
photodetectors, biomedical sensors, and photovoltaic devices.[25]The observed energy
transfer could be explained by two major nonradiative
energy transfer mechanisms (as depicted in Figure 1):[28] (i) Förster coupling[26] describes a direct transfer of energy from the
optically excited molecule to graphene. This leads to a quenching
of the molecular emission, since the energy is nonradiatively transferred
to the electrons in graphene, see Figure 1a.
The Förster transfer rate strongly depends on the molecular
transition dipole moment d and it exhibits a R–4 dependence for hybrid nanostructures
on top of a spatially extended two-dimensional substrate[25,29] (in contrast to the well-known R–6 scaling for dipolar Förster coupling in molecule–molecule
complexes). (ii) Dexter coupling[27] is based
on a charge transfer between the molecule and graphene states, see
Figure 1b. After the process, the molecule
is brought into its ground state, and graphene becomes excited and
can emit light through carrier recombination. It is a short-range
transfer mechanism that directly depends on the spatial overlap of
involved molecule and graphene orbital functions resulting in an exponential
decay with the substrate–molecule distance R.
Figure 1
Schematic illustration of the nonradiative (a) Förster[26] and (b) Dexter[27] energy
transfer in perylene-functionalized graphene. The Dirac cone represents
the electronic band structure of graphene, while the electronic states
of the perylene molecules are described by a two-level (HOMO–LUMO)
momentum independent system. The arrows in (a) show different energy-conserving
processes involving varying momentum transfer q.
Schematic illustration of the nonradiative (a) Förster[26] and (b) Dexter[27] energy
transfer in perylene-functionalized graphene. The Dirac cone represents
the electronic band structure of graphene, while the electronic states
of the perylene molecules are described by a two-level (HOMO–LUMO)
momentum independent system. The arrows in (a) show different energy-conserving
processes involving varying momentum transfer q.Recent studies indicate that the
observed energy transfer in carbon-based
hybrid nanostructures can probably be traced back to a Förster-like
transfer process.[25,30] In these studies, the molecule–substrate
distance is clearly larger than 10 Å due to the presence of long
nonconducting linker molecules. However, for functionalization procedures
without such additional molecules, the distance is in the range of
just a few Å corresponding to the van der Waals radius of the
involved atoms.[22] Here, the Dexter transfer
mechanism is expected to be a competing energy transfer mechanism.
In this Article, we present a systematic first-principle study on
the substrate–molecule interaction in the exemplary hybrid
system consisting of graphene functionalized with perylene molecules.
The obtained insights should be applicable to other carbon-based hybrid
nanostructures. We study the molecule-induced changes in the electronic
band structure and the optical properties of graphene as well as the
charge rearrangements within the two subsystems. Combining first-principle
calculations characterizing the hybrid material with tight-binding-based
calculations of the Förster transfer rate, we obtain an analytic
expression allowing us to explicitly determine the strenght of the
Förster coupling. To address the question which transfer mechanism
is likely to be responsible for the efficient energy transfer observed
in experiments on carbon-based hybrid materials,[22,25,30] we discuss the competing Dexter transfer
mechanism by estimating the spatial overlap of the involved substrate
and molecule orbitals within first-principle calculations.The
investigations are based on density functional theory (DFT)
calculations performed within the FHI-aims code package.[31] It is an all-electron, full-potential electronic
structure code, including numerical atom-centered orbitals, which
are very efficient allowing the investigation of structures containing
hundreds of atoms. All calculations are done within the tight settings
including a tier 2 basis set for the carbon and hydrogen atoms.[31] Calculations with increased accuracy in the
basis functions revealed that the chosen settings already lead to
converged results with respect to the total energy. We focus on graphene
functionalized with perylene molecules (C20H12), see Figure 2a,b, illustrating the top and side view of the studied structure.
For graphene, we choose a supercell covering 7 × 7 unit cells
corresponding to 98 carbon atoms, with a lattice constant of 1.42
Å. The investigated situation corresponds to a moderate functionalization
degree with a molecule–molecule distance of approximately 7
Å. The electron interactions are described within the PBE exchange-correlation
functional,[32] including the recently implemented
van der Waals correction[33] to account for
the long-range van der Waals interaction. The latter plays a fundamental
role in describing the weak molecule–nanostructure coupling
that is of paramount importance to quantitative estimate the relative
contribution of the Dexter transfer mechanism. We also performed additional
calculations with the hybrid functional PBE0[34] and HSE06[35,36] to investigate the alignment
of molecular levels. We found that the molecular HOMO (LUMO) level
is located below (above) the Fermi energy in graphene and, thus, initial
spurious charge transfer does not occur.
Figure 2
(a) Perylene-functionalized
graphene after full geometric relaxation
within the FHI-aims code including the van der Waals interaction.
For comparison, the initial position of carbon atoms within a perfectly
flat graphene layer is shown in orange illustrating a slight dent
of the graphene layer in the vicinity of the molecule after the geometric
relaxation. (b) Top view on the relaxed hybrid nanostructure emphasizing
the structure of the perylene molecule. (c) The binding energy Eb as a function of the substrate–molecule
distance R.
(a) Perylene-functionalized
graphene after full geometric relaxation
within the FHI-aims code including the van der Waals interaction.
For comparison, the initial position of carbon atoms within a perfectly
flat graphene layer is shown in orange illustrating a slight dent
of the graphene layer in the vicinity of the molecule after the geometric
relaxation. (b) Top view on the relaxed hybrid nanostructure emphasizing
the structure of the perylene molecule. (c) The binding energy Eb as a function of the substrate–molecule
distance R.The initial perylene-functionalized graphene structure is
fully
relaxed using the Broyden–Fletcher–Goldfarb–Shanno
method minimizing all force components to values smaller than 10–3 eV/Å. Figure 2a illustrates
the hybrid nanostructure after geometric relaxation. The comparison
with the perfectly flat graphene layer (orange color) reveals a slight
dent of carbon atoms of less than 0.1 Å close to the molecule.
This geometric pillow effect is a direct consequence of the presence
of the perylene molecule and can be traced back to the Pauli pushback.[37,38] It also gives rise to a charge rearrangement, which will be discussed
below.We find an optimal substrate–molecule distance
of Rmin = 3.25 Å, which is slightly
smaller
than the initial value of the van der Waals diameter of the carbon
atom, see Figure 2c. The optimal binding energy
at Rmin is Eb = −1.96 eV corresponding to a binding energy of Eb = −61 meV per atom in the perylene molecule.
This is in the expected range for a van der Waals-induced noncovalent
adsorption of the molecule to the graphene surface. The π-electronic
system of the perylene molecule is linked to the graphene surface
via π–π stacking, which is much less invasive compared
to the covalent adsorption.[3] This can be
well observed on the only minor changes in the electronic structure
of the substrate, see Figure 3. Our calculations
clearly illustrate that the unique band structure of graphene, including
the Dirac point and the linear bands, is entirely preserved after
the noncovalent functionalization with perylene molecules. The observable
changes appear at the points where the molecular HOMO and LUMO levels
cross the graphene electronic states, as illustrated in the inset
of Figure 3. Here, the resulting states of
the hybrid nanostructure exhibit avoided crossings. This well-known
behavior in quantum chemistry is further illustrated within the zoomed-in
region around the molecular LUMO level, which anticrosses the graphene
electronic states several times.
Figure 3
Bottom panel: Electronic band structure
of the hybrid nanostructure
(orange lines) in direct comparison to the band structure of unfunctionalized
graphene (black lines) and isolated perylene molecules (blue lines).
The electronic states remain largely unchanged except for the appearance
of avoided crossings (dashed areas). Top panel: The region around
the molecular LUMO level is zoomed-in to further illustrate this behavior.
Bottom panel: Electronic band structure
of the hybrid nanostructure
(orange lines) in direct comparison to the band structure of unfunctionalized
graphene (black lines) and isolated perylene molecules (blue lines).
The electronic states remain largely unchanged except for the appearance
of avoided crossings (dashed areas). Top panel: The region around
the molecular LUMO level is zoomed-in to further illustrate this behavior.As a direct consequence of the
almost completely preserved electronic
band structure, the optical properties of graphene remain unchanged
to a large extent, see Figure 4. The optical
absorption of the hybrid nanostructure corresponds to an overlap of
the absorption peaks of the pristine graphene and isolated perylene
molecule, as shown in Figure 4a. The optical
matrix element corresponding to the expectation value of the momentum
operator[7]Mvc = ⟨Φ|p|Φ⟩ exhibits only
slight changes in the region, where avoided crossing takes place,
see the blue-shaded circles in Figure 4b. Note,
however, that the energy transfer within the hybrid nanostructure
is not directly included within the DFT treatment and will be further
discussed below.
Figure 4
(a) Optical absorption of the perylene-functionalized
graphene
in comparison to the absorption of the pristine graphene and the isolated
perylene molecule. (b) Optical matrix element describing the strength
of matter–light coupling for the hybrid nanostructure and pristine
graphene, respectively. The inset shows the matrix element along the
high-symmetry line ΓKM within the Brillouin zone of one-unit-cell
graphene.
(a) Optical absorption of the perylene-functionalized
graphene
in comparison to the absorption of the pristine graphene and the isolated
perylene molecule. (b) Optical matrix element describing the strength
of matter–light coupling for the hybrid nanostructure and pristine
graphene, respectively. The inset shows the matrix element along the
high-symmetry line ΓKM within the Brillouin zone of one-unit-cell
graphene.The absorption spectrum of graphene
is characterized by the well
pronounced peak at approximately 4 eV corresponding to the transition
at the saddle point (M point) in the Brillouin zone.[9,39,40] The widely delocalized π
electronic system in the perylene molecule gives rise to strong absorption
peaks at 1.7, 3.6, and 4.9 eV. The obtained transition energies are
lower than in experiment due to the shortcoming of the applied exchange-correlation
functional. Calculations based on hybrid functionals give a much better
agreement with the experiment. Since in this work we focus on the
Förster and Dexter energy transfer mechanisms between the perylene
molecule and graphene, the energetic deviations within PBE exchange-correlation
function do not play a qualitative role. Due to the linear gapless
band structure of graphene in the relevant energy region, there are
always electronic states that are in resonance with the energetically
lowest HOMO–LUMO transition of the perylene molecule.Furthermore, we have investigated the charge rearrangement
within
the hybrid nanostructure. As already seen in Figure 2, the adsorbed molecule leads to a spatial pillow-like effect[41] pushing the graphene’s carbon atoms further
away and giving rise to a small dent of <0.1 Å. This also
affects the mobility of charge carriers within the graphene layer
resulting in charge rearrangements. Figure 5a shows a surface plot illustrating the molecule-induced charge density
difference Δρ(x,y,z) = ρhybrid – ρgraphene – ρperylene for the exemplary iso-value
of 5 × 10–4e0/Å3. One can clearly see the accumulation of negative (blue)
and positive (red) charges. According to the pillow effect, the electrons
are pushed away from the region directly below the molecule. As a
result, this region is characterized by a positive charge, that is,
the lack of electrons (red areas). At the same time, electrons accumulate
further away at the graphene surface at the graphene-facing side of
the molecule (blue areas). To further illustrate the charge distribution
along the z-direction (perpendicular to the graphene
surface), we show the plane-averaged charge density difference Δρ(z) = ∫dx∫dyΔρ(z) and the charge difference Δq(z) = ∫–∞dz′Δρ(z′), see Figure 5b and c,
respectively. The charge distribution around the graphene layer qualitatively
reflects the spatial shape of the most relevant 2p carbon orbitals reaching above and
below the graphene sheet. A similar charge distribution can also be
observed around the position of the perylene molecule, illustrating
a positive (negative) charge accumulation slightly below (above) the
molecule. Note, however, that the quantitative effect of charge rearrangements
is relatively small. The predicted small charge difference of up to
0.02 e0 is in agreement with what one
would expect for a noncovalent functionalization.
Figure 5
Charge density difference
Δρ(x,y,z) is illustrated within a surface plot
for the exemplary iso-value of ±5 × 10–4e0/Å3. The red color
corresponds to the negative value describing the lack of electrons,
while the blue color reflects electron accumulations. (b) Charge density
difference Δρ(z) integrated over the xy-plane illustrating the change of Δρ along
the z-axis perpendicular to the graphene layer. (c)
Charge difference Δq(z) =
∫–∞dz′Δρ(z′) accumulated along the z-axis
as a function of z. The dashed lines correspond to
the result obtained within constrained DFT calculations.
The dashed
lines in Figure 5 reflect the
charge distribution obtained within constrained DFT calculations,[42] that is, we imposed particular initial occupations
of molecular HOMO and LUMO levels while solving the Kohn–Sham
equations. The aim was to investigate the change of the substrate–molecule
interaction once the molecule is optically excited. Therefore, we
promoted one electron from the HOMO to the LUMO level. The calculations
show only marginal changes in the charge distribution (cf., Figure 5) or in the electronic band structure (not shown).
This insight is important for the discussion of the excitation energy
transfer in the investigated hybrid structure. Time-dependent DFT
calculations[43] are beyond the scope of
this study and will be performed in future work.Charge density difference
Δρ(x,y,z) is illustrated within a surface plot
for the exemplary iso-value of ±5 × 10–4e0/Å3. The red color
corresponds to the negative value describing the lack of electrons,
while the blue color reflects electron accumulations. (b) Charge density
difference Δρ(z) integrated over the xy-plane illustrating the change of Δρ along
the z-axis perpendicular to the graphene layer. (c)
Charge difference Δq(z) =
∫–∞dz′Δρ(z′) accumulated along the z-axis
as a function of z. The dashed lines correspond to
the result obtained within constrained DFT calculations.After having characterized the perylene-functionalized
graphene
including its electronic and optical properties, we now focus on the
investigation of the possible energy transfer mechanisms in such a
hybrid structure, cf. Figure 1. To achieve
this goal, we will combine the DFT-based knowledge of the hybrid material
with the tight-binding-based analytic expression for the Förster
transfer rate. Furthermore, we will discuss the Dexter transfer by
exploiting our DFT study allowing us to estimate the overlap of the
involved molecular and graphene orbitals.The Förster
and Dexter energy transfer rates can be analytically
expressed via the Fermi golden rulewith
the momentum-dependent initial and final
states of the graphene substrate Φλ(r) and
the HOMO and LUMO states of the molecule ΦM(r). The delta function makes sure that only energy-conserving
processes contribute. The Förster rate γF is
determined by the direct contribution of the Coulomb interaction[26]where e0 denotes
the elementary charge and ε0 the vacuum permittivity.
The exchange Coulomb contribution gives the Dexter rate γD with[27]For Dexter
coupling, a large spatial overlap
between graphene and molecular orbitals (Φ(r)ΦM(r) and ΦM(r′)Φ(r′)) is of key importance.[27,28] As a result, γD shows an exponential dependence
on the substrate-molecule distance R and occurs only
for small distances (typically, smaller than 10 Å).[28] In contrast, the Förster coupling is
dominated by the factor (1/(|r – r′|) in eq 2.Considering the conventional
energy transfer between donor and
acceptor molecules, the Förster coupling is based on the dipole–dipole
interaction and is characterized by a R–6 dependence.[26,28,44] In the case of functionalized graphene, the substrate is not a spatially
localized molecule, but a periodically extended two-dimensional nanostructure.
Following the approach of Swathi et al.,[29] the Förster coupling can be considered as an interaction
of the molecular transition dipole dM = −e0 ∫dr′ΦM(r′)r′ΦMh(r′) located in the electrostatic potential φ(r′) = (1/(4πε0))∫dr(ρ(r))/(|r – r′|) arising from the transition
charge density of graphene ρ(r) = −e0Φ(r)Φ(r). Then, the Förster
energy transfer rate can be written aswhere
the electrostatic potential φ is evaluated
at the fixed position of the molecule.Combining DFT calculations
on the molecular transition dipole moment
with the tight-binding approximation of the graphene wave functions
allows us to obtain an analytic expression for γF. For the molecular transition dipole moment, we obtain dM = (d,d,d) = (−0.80, 1.39, 4.92 × 10–5) e0 Å, with dM = 1.60 e0 Å. As expected
for the flat perylene molecule lying in the x–y plane, d is nearly zero. The dipole moment is obtained for the perylene molecule
that has been fully geometrically relaxed in the presence of the graphene
substrate. Furthermore, we have also performed constrained DFT calculations[42] modeling an initially excited molecule (one
electron promoted from the HOMO into the LUMO level) to account for
the changes of the molecular states due to the optical excitation
taking place before the actual energy transfer process, as illustrated
in Figure 1. Our calculations reveal only negligibly
small changes of the dipole components in agreement with the marginal
changes observed for the charge distribution in Figure 5.Within the tight-binding approximation, the transition
charge density
of graphene ρ(r) can be obtained
analytically. Taking into account only the strongest overlaps one
obtains for the Förster transfer rate[29]with the HOMO–LUMO gap ΔEM and the slope in the electronic band structure
of graphene νF. More details on the derivation of
the Förster transfer rate can be found in the work of Swathi
et al.[29] Here, we focus on the evaluation
of this expression for the investigated perylene-functionalized graphene.
The Förster coupling explicitly depends on the square of the
parallel d∥ (in the x–y plane) and the perpendicular component d⊥ (z-axis) of the molecular
transition dipole moment dM. Since we have
already determined these characteristics for the perylene molecule
within the graphene-based hybrid material, we can now explicitly evaluate
the Förster energy transfer rate.Förster energy
transfer rate γF as a function
of the substrate-molecule distance R. For short distances,
the transfer rate is characterized by an exponential decay (orange
line), while for large distances a R–4 behavior (red line) is found. The inset shows the momentum dependence
of the processes contributing to the Förster transfer rate
at different constant substrate–molecule distances R. Here, γ̅F corresponds to the integrand
of eq 5.Figure 6 illustrates the Förster
rate as a function of the substrate–molecule distance R. Generally, the integral over all processes involving
the momentum transfer q cannot be analytically solved.
We find that, within the simplest tight-binding approximation taking
into account only the strongest overlaps, the direct transitions with q = 0 do not contribute to the energy transfer. The inset
of Figure 6 shows the integrand of eq 5 (denoted as γ̅F) as a function
of q for different fixed distances R. For R < 10 Å, γ̅F(q) quickly increases with q and
the Förster rate γF shows an exponential decay
with R, that is, γF ≈ α1e–α with α1 ≈ 3.66 fs–1 and α2 ≈ 0.80 Å–1, see Figure 6. For large distances, the behavior
drastically changes: γ̅F(q) is characterized by a maximum centered at q ≈
3/(2R), that is, only processes involving a certain
momentum transfer q significantly contribute to the
energy transfer rate. In the limit of large substrate–molecule
distances (R ≫ 10 Å), the Förster
coupling exhibits a clear R–4 dependence,
that is, γF ≈ α3R–4, with α3 ≈ 42.85 fs–1, see Figure 6. This is in
excellent agreement with the observations in a recent experiment varying
the distance between graphene and attached molecular emitters by depositing
additional layers.[25]
Figure 6
Förster energy
transfer rate γF as a function
of the substrate-molecule distance R. For short distances,
the transfer rate is characterized by an exponential decay (orange
line), while for large distances a R–4 behavior (red line) is found. The inset shows the momentum dependence
of the processes contributing to the Förster transfer rate
at different constant substrate–molecule distances R. Here, γ̅F corresponds to the integrand
of eq 5.
Inserting the
molecular transition dipole moment dM = (d⊥, d∥) for the investigated exemplary perylene-functionalized
graphene, we obtain a very efficient Förster energy transfer
rate of γF(R0) = 0.277
fs–1. This can be traced back to the strong Coulomb
interaction in the graphene substrate and the short substrate–molecule
distance of R0 = 3.25 Å obtained
within a full geometric relaxation of the entire hybrid nanostructure.
At such a short distance, transitions involving different momentum
transfers q crucially contribute to the Förster
rate, see the inset of Figure 6. Our result
is in line with experimental time-resolved investigations of the energy
transfer in functionalized carbon nanotubes, suggesting that the transfer
process occurs on an ultrafast femtosecond time scale.[45] Often, it is necessary to include additional
linker molecules to experimentally achieve the functionalization[21] resulting in much larger substrate–molecule
distances. For example, R = 10 and 50 Å result
in a Förster rate of γF = 4.88 ps–1 and 6.88 × 10–3 ps–1, respectively.
The drastic decrease in efficiency is in agreement with the experimental
findings of L. Gaudreau and co-workers.[25]In spite of the short distance between the graphene layer
and the
perylene molecule, our calculations reveal that the Dexter energy
transfer rate γD is negligibly small compared to
the discussed Förster transfer mechanism. The Dexter rate is
determined by the spatial overlap between the strongly localized graphene
and perylene orbitals. To estimate γD, we calculate
the ratio between the overlaps αD = ⟨Φ(r)|ΦM(r)⟩ and αF = ⟨Φ(r)|Φ(r)⟩ appearing
in the Dexter and the Förster rate, respectively, see eqns 2 and 3. We obtain αD/αF ≈ 10–1. Since
in the rates the square of the product of two such overlaps appears,
the Dexter rate γD is expected to be approximately
4 orders of magnitude smaller than the Förster rate γF.In conclusion, we have investigated the energy transfer
in perylene-functionalized
graphene. Having characterized the hybrid material within DFT calculations
including a fully geometric relaxation of the structure, its electronic
band structure, optical properties, and charge rearrangements, we
focus on the energy transfer that has been measured in recent experiments.
Combining DFT-based calculation of the molecular transition dipole
moment and tight-binding-based consideration of graphene wave functions
allows us to obtain an analytic expression for the Förster
energy transfer rate. Our calculations reveal strongly efficient Förster
coupling with rates in the range of fs–1. In contrast,
the Dexter energy transfer mechanism is found to be negligibly small
due to small overlap between the involved strongly localized substrate
and molecule orbital functions. The obtained results can be applied
to other carbon-based hybrid nanostructures and in general to the
description of energy transfer processes in molecular functionalized
nanostructures, once the molecular dipole moment and the substrate–molecule
separation are known.
Authors: J-C Charlier; L Arnaud; I V Avilov; M Delgado; F Demoisson; E H Espinosa; C P Ewels; A Felten; J Guillot; R Ionescu; R Leghrib; E Llobet; A Mansour; H-N Migeon; J-J Pireaux; F Reniers; I Suarez-Martinez; G E Watson; Z Zanolli Journal: Nanotechnology Date: 2009-08-26 Impact factor: 3.874
Authors: Gunnar Berghäuser; Ivan Bernal-Villamil; Robert Schmidt; Robert Schneider; Iris Niehues; Paul Erhart; Steffen Michaelis de Vasconcellos; Rudolf Bratschitsch; Andreas Knorr; Ermin Malic Journal: Nat Commun Date: 2018-03-06 Impact factor: 14.919