Wei-Tao Peng1, Dominik Brey2, Samuele Giannini1, David Dell'Angelo1, Irene Burghardt2, Jochen Blumberger1. 1. Department of Physics and Astronomy and Thomas Young Centre, University College London, London WC1E 6BT, United Kingdom. 2. Institute of Physical and Theoretical Chemistry, Goethe University Frankfurt, Max-von-Laue-Strasse 7, 60438 Frankfurt am Main, Germany.
Abstract
Quantum dynamical simulations are essential for a molecular-level understanding of light-induced processes in optoelectronic materials, but they tend to be computationally demanding. We introduce an efficient mixed quantum-classical nonadiabatic molecular dynamics method termed eXcitonic state-based Surface Hopping (X-SH), which propagates the electronic Schrödinger equation in the space of local excitonic and charge-transfer electronic states, coupled to the thermal motion of the nuclear degrees of freedom. The method is applied to exciton decay in a 1D model of a fullerene-oligothiophene junction, and the results are compared to the ones from a fully quantum dynamical treatment at the level of the Multilayer Multiconfigurational Time-Dependent Hartree (ML-MCTDH) approach. Both methods predict that charge-separated states are formed on the 10-100 fs time scale via multiple "hot-exciton dissociation" pathways. The results demonstrate that X-SH is a promising tool advancing the simulation of photoexcited processes from the molecular to the true nanomaterials scale.
Quantum dynamical simulations are essential for a molecular-level understanding of light-induced processes in optoelectronic materials, but they tend to be computationally demanding. We introduce an efficient mixed quantum-classical nonadiabatic molecular dynamics method termed eXcitonic state-based Surface Hopping (X-SH), which propagates the electronic Schrödinger equation in the space of local excitonic and charge-transfer electronic states, coupled to the thermal motion of the nuclear degrees of freedom. The method is applied to exciton decay in a 1D model of a fullerene-oligothiophene junction, and the results are compared to the ones from a fully quantum dynamical treatment at the level of the Multilayer Multiconfigurational Time-Dependent Hartree (ML-MCTDH) approach. Both methods predict that charge-separated states are formed on the 10-100 fs time scale via multiple "hot-exciton dissociation" pathways. The results demonstrate that X-SH is a promising tool advancing the simulation of photoexcited processes from the molecular to the true nanomaterials scale.
Organic solar cells (OSCs) have
attracted much research interest over the last few decades because
of a number of beneficial features, such as low manufacturing cost,
mechanical flexibility, light weight, and environmentally friendly
materials. One of the major parameters determining the performance
of a solar cell is the power conversion efficiency (PCE), and the
best OSC designs to date have reached over 19%.[1−3] To further optimize
OSC materials and devices, an improved understanding of the fundamental
optoelectronic processes is essential.Various spectroscopy
approaches have been applied to elucidate
the charge separation mechanisms in OSCs.[4−11] However, because of the complexity of such systems, contradictory
results have been reported in the literature. One prominent example
is the role of the lowest-lying charge transfer (CT1) state,
namely, the bound electron–hole state at the donor–acceptor
interface. Though many studies suggest it is the gateway state for
charge separation independently of the time scale of exciton dissociation,[4−8] other works claim that the charge separation is mainly through ultrafast
hot carrier dissociation instead of the CT1 dissociation.[9−11] It has been suggested that these discrepancies are primarily because
of differences in the interfacial energetics, which are in turn because
of the different molecular constituents, compositions, and diverse
fabrication processes adopted that cause distinct morphology for donor
and acceptor domains,[12,13] which subsequently alter the
parameters that govern the light-induced processes in the OPVs.Theoretical modeling, however, can be carried out for structurally
well-defined and increasingly realistic model systems. This allows
us, in principle, to investigate how the mechanism of charge generation
and separation depends on structural and energetic parameters.[14−23] Common theoretical models often describe the excited-state processes
in OSC materials in terms of rate theories that have been developed
for molecular donor–acceptor systems (e.g., Marcus–Levich–Jortner).
When applied to materials, they typically come with a number of restrictive
assumptions. For instance, they neglect spatial delocalization of
excitons and charge carriers, which is expected to have a profound
effect on exciton dissociation and charge transport efficiencies.Direct quantum dynamical simulation of the coupled electron–nuclear
motions that account for such phenomena would be highly desirable,
but they tend to be computationally expensive when applied to materials.[11,24−29] In this regard, important progress has been made by carrying out
Multiconfiguration Time-Dependent Hartree (MCTDH) and related Multilayer
MCTDH (ML-MCTDH) calculations,[30,31] for the quantum dynamics
of nonadiabatic nuclear motion on vibronic coupling models parametrized
to excited-state electronic structure calculations.[32] A variety of complex processes in model systems could be
treated in this way, e.g., exciton diffusion in an oligothiophene
chain,[33] electron–hole separation
in donor–acceptor conjugated co-oligomers,[34] and charge separation in the donor–acceptor junctions.[35,36]Widely considered the gold standard for quantum dynamics,
MCTDH
is computationally expensive. Notwithstanding the impressive progress
that has been recently made to increase the number of vibrational
modes that can be treated in ML-MCTDH (several hundreds),[33−36] applications to truly nanoscale systems (>10 nm) that require
several
hundreds if not thousands of molecules to be simulated at quantum
level is likely to be out of reach for some time. Computationally
more efficient approximate methods, e.g., mixed quantum-classical
nonadiabatic molecular dynamics (MQC-NAMD) such as decoherence-corrected
trajectory surface hopping,[37] are a viable
alternative for large systems.[38−42] Some of us have recently developed surface hopping methodologies
(termed Fragment Orbital-Based Surface Hopping (FOB-SH[43−45]) and Frenkel Exciton Surface Hopping (FE-SH[46])) for the quantum dynamical propagation of charge carriers or Frenkel
excitons in nanoscale materials, e.g., organic crystals[46−48] and (disordered) thin films.[49] Experimental
charge mobilities and exciton diffusion constants could be well reproduced
for a range of materials, and the simulations revealed a clear correlation
between the spatial delocalization of the charge carrier or exciton
and the respective diffusion constants.In this work, we have
implemented an extension of our previously
developed FOB-SH and FE-SH methods by combining and coupling the electronic-state
spaces for charge transfer and localized (Frenkel) exciton states.
This enables us to simulate exciton transport coupled to exciton dissociation,
charge generation and charge separation at the level of trajectory
surface hopping, which was not possible with either FOB-SH or FE-SH.
We dub our extension eXcitonic state-based Surface Hopping (X-SH)
to emphasize the applicability of the method to light-induced excited-state
processes in molecular materials. For simplicity, we consider a 1D
chain composed of N electron donating chromophore
molecules and one effective electron-accepting molecule, as shown
in Figure a, and only
nearest-neighbor couplings. Generalization to larger systems in 2D
or 3D and to couplings beyond nearest neighbors is straightforward.
In X-SH, the total Hamiltonian is constructed aswhere Tcl is the
classical kinetic energy of the nuclei, is the electronic Hamiltonian, and is the electron–phonon coupling
term. can be divided into XT and CS blocks and
a XT–CS off-diagonal block,whereand
Figure 1
(a) Model system for the fullerene–oligothiophene
single
junction. (b) Electronic Hamiltonian matrix in the basis of diabatic
Frenkel exciton (XT) and charge-separated states (CS). See the main
text for definition of the matrix elements. (c) Energies and diabatic-state
populations of the adiabatic electronic states at the electronic ground-state
minimum geometry (absolute values squared of the eigenvectors, in
orange for XT and in blue for CS diabatic states). The sidebar to
the right depicts the projection of the diabatic XT1 state,
used as the initial state for X-SH and MCTDH simulations, onto the
adiabatic eigenstates.
(a) Model system for the fullerene–oligothiophene
single
junction. (b) Electronic Hamiltonian matrix in the basis of diabatic
Frenkel exciton (XT) and charge-separated states (CS). See the main
text for definition of the matrix elements. (c) Energies and diabatic-state
populations of the adiabatic electronic states at the electronic ground-state
minimum geometry (absolute values squared of the eigenvectors, in
orange for XT and in blue for CS diabatic states). The sidebar to
the right depicts the projection of the diabatic XT1 state,
used as the initial state for X-SH and MCTDH simulations, onto the
adiabatic eigenstates.In eq , εXT is the electronic energy offset between diabatic
XT and CS1 states, where εXT = EXT – ECS in the
minimum energy configuration of the ground state (RGS). εCS is the electronic energy of diabatic states
CS, where donor molecule n carries a positive charge and the acceptor molecule a negative charge
at configuration RGS. The local electron–phonon
part is written asThe term uXT/CS(R) is the electronic
energy of state n at a nuclear configuration R, relative
to the energy of that state at RGS. Thus, EXT(R) = εXT + uXT(R) is the electronic energy
of state XT at nuclear configuration R, i.e., the total potential energy of the system when site n is in the excited state and all other sites are in the
(neutral) ground electronic state. Similarly, ECS(R) = εCS + uCS(R) is the energy of state CS at nuclear configuration R, i.e., the total potential
energy of the system when the acceptor molecule is negatively charged
and the nth donor molecule is positively charged
while all other molecules are in the neutral ground electronic state.
Here, all electronic and excitonic couplings are fixed; i.e., nonlocal
electron–phonon coupling is not included. Moreover, energetically
accessible excited states other than the ones considered, e.g., charge
transfer excitonic states within the donor manifold, triplet states,
etc., are not considered but could, in principle, be included by extension
of the electronic-state space.The time-dependent wave function
is expressed as a linear combination
of the XT and CS stateswhere and , n = 1, N, and u is the corresponding
expansion coefficient. The wave function is propagated according to
the time-dependent Schrödinger equation,where are the elements in the electronic Hamiltonian
described above. The nonadiabatic coupling elements (NACE) between
the quasi-diabatic states, , are typically very small and are neglected.
We have shown in our previous study on charge transport that neglecting
the NACE gives essentially the same dynamics but accelerates the calculations
considerably.[48] The nuclei are propaged
on a single adiabatic potential energy surface (the active state)
at every time step and are allowed to hop stochastically between different
surfaces according to Tully’s fewest switching hopping probablility.[37] The Heisenberg decoherence time for the exponential
damping of the coefficients of all except the active electronic states
is applied to correct the overcoherence problem in the surface hopping
method.[50,51] A state tracking algorithm is used to detect
trivial crossings between the adiabatic states.[44]Here we apply X-SH to simulate the exciton decay
dynamics in an
one-dimensional (1D) model of a fullerene–oligothiophene interface,
which was previously investigated at the level of MCTDH.[35,36] We also report new ML-MCTDH computations significantly extending
the simulation time from previously 1 to 10 ps. Both approaches employ
the same electronic Hamiltonian (see eqs –5 and equation (S1)), which enables us to compare X-SH with MCTDH
dynamics on an equal footing for a complex, application-relevant system.
This allows us to assess the trade-offs that the two approaches make:
classical treatment but inclusion of all nuclear degrees of freedom
(DoF) in X-SH versus full quantum mechanical treatment of a limited
number of DoF in MCTDH. In particular, it affords an assessment of
the effect of classical vs quantum treatment of nuclear motion on
the exciton relaxation mechanism and dynamics. A certain caveat is
that the MCTDH calculations, which include zero-point energy, were
restricted to T = 0 K whereas X-SH calculations were
carried out at a classical temperature of T = 300
K. In this respect, it is worth noting that the classical nuclei at
300 K may actually lead to a narrower distribution of initial conditions
in the phase space than that obtained from sampling a Wigner distribution
for the ground vibrational state.[52]The atomistic model of the oligothiophene (OT9)–fullerene
(C60) donor–acceptor interface is shown in Figure a. In X-SH, the system
is composed of 3 C60 molecules and 26 OT9 molecules
with periodic boundary conditions along the direction of the stack.
However, as in MCTDH, only one C60 unit and 13 OT9 molecules closest to that fullerene are treated as electronically
active. The molecules in the inactive region maintain the structural
integrity of the electronically active region during X-SH molecular
dynamics, thus effectively replacing the bulk environment. Consequently,
13 (quasi-)diabatic Frenkel excitonic
states in the donor phase are considered (eq ). The state where the Frenkel exciton (XT)
is located on the nth OT9 molecule is
labeled XT, n = 1, ...,
13. Similarly, the charge-separated (CS) state (eq ) with the hole on the nth
OT9 molecule and the electron on the C60 molecule
is labeled CS. The corresponding electronic
Hamiltonian matrix for the 26 electronic states is shown in Figure b. The site energies
(diagonal elements) for the XT and CS states were calculated with
a fully atomistic force field in X-SH (eq and Supporting Information equations (S6)–(S11)), and with a linear vibronic coupling
potential along eight effective modes for each molecule in MCTDH[27,37] (Supporting Information equations (S3)–(S5)). The atomistic force field for XT and CS states was parametrized
to reproduce exactly the total reorganization energy for exciton transfer
and for charge transfer used in MCTDH; see the Supporting Information for details. Furthermore, in both approaches,
XT and CS1 states are offset by 0.1 eV at the Franck–Condon
point (ΔEoffset = εXT – ε1CS = 0.1 eV), and the Coulomb energy of the CS states was modeled
by an effective Coulomb barrier (i.e., “Coulomb barrier 1”
of ref (36) representing
an OT13-(C60)7 aggregate; shown in Figure S1 and labeled as εCS in Figure b for
site i). The coupling (or off-diagonal) elements
in the electronic Hamiltonian between nearest neighbors were fixed
to the values used in ref (35); all other coupling matrix
elements were set to zero. For
XT–XT couplings, j = 0.1 eV, for CS–CS
couplings, t = −0.12 eV, and for the XT–CS
coupling at the interface, λ = −0.2 eV (note the sign
for the latter was incorrectly reported in ref (35)). ΔEoffset, the Coulomb barrier, and coupling values are based
on previously reported time-dependent density functional theory (TDDFT)
and DFT calculations and a diabatization scheme using adiabatic states
from TDDFT as basis set.[53] They are reproduced
in the SI for convenience.Prior to reporting the results of
the nonadiabatic dynamics simulations,
we analyze the electronic eigenstates (or adiabatic electronic states)
of our model interface as obtained by diagonalization of the electronic
Hamiltonian at the electronic ground-state minimum geometry. In Figure c, the eigenstates
are projected on the diabatic (site) basis of XT (orange) and CS states
(blue). The lowest-lying eigenstate in the system is the interfacial
charge transfer state, which we label CT1 hereafter. It
is mostly composed of the CS1 (54%) and XT1 (31%)
diabatic states. The energy of this state, −0.20 eV, is lower
than those for CS1 (0 eV) and XT1 (0.1 eV) because
of the electronic coupling between these two states, λ = −0.2
eV and, to a lesser extent, between CS1 and CS2 states. (A simple two-state model including CS1 and XT1 states only would give an energy E(CT1) = 1/2(ΔEoffset – (ΔEoffset2 + λ2)0.5) = −0.16
eV.) The XT manifold of eigenstates is centered at ΔEoffset = 0.1 eV, and the bandwidth is ∼4j = 0.4 eV, as expected from a tight binding model. Thus,
the lower edge of the XT band is at −0.09 eV, 0.11 eV above
CT1. It is mainly composed of XT5–XT9 states and denoted as the dark XT state because an H-aggregate
of OT9 molecules (1D packing with positive XT–XT
couplings) is considered, where the lowest state is optically inaccessible.[35] The upper edge at 0.29 eV is formed of the bright
XT state, which is mainly composed of XT6–XT9. Finally, the CS manifold of eigenstates is centered at 0.24
eV, which is slightly below the maximum of the Coulomb barrier, and
the bandwidth is ∼4t = 0.48 eV. The lower
CS band edge is formed by a charge-separated state (CSS) composed
of diabatic CS states that are furthest away from the interface, CS8–CS13. The energy of this state, 0.00 eV,
defines the binding energy of the interfacial charge transfer state
CT1, 0.20 eV.We have carried out nonadiabatic dynamics
simulations choosing
the fully localized XT1 diabatic state as initial state
and report the results in Figure . X-SH and MCTDH predict a similar decay dynamics of
the XT1 state at short times (<200 fs, Figure a); within 100 fs the populations
of the dark XT state and the CSS accumulate markedly, to 0.13 (0.17)
and 0.11 (0.11) at 100 fs, respectively, for X-SH (MCTDH). Beyond
100 fs, some differences are clearly discernible. In MCTDH, the population
of the dark XT state keeps increasing, up to 0.25 at 1 ps, whereas
in X-SH, it decays after 100 fs by converting to the CT1 state (as indicated by the diabatic CS1 population in Figure ). The population
difference between the dark XT state from the two approaches is very
close to the difference in the CT1-state population (as
indicated by two arrows of similar length in Figure b). At longer times, >1 ps, the populations
for the dark XT and CSS states decay in MCTDH, but significant populations
remain at 10 ps (Figure c and Figure S1). At this point, the quantum
equilibrium population of electronic states (from imaginary time propagation;
see Figure S4) has not been reached. By
contrast, in X-SH, both dark XT and CSS have fully decayed after a
few picoseconds. This establishes the classical equilibrium population
for all electronic states in the system to a good approximation (dash-dotted
lines in Figure c;
see the Supporting Information for their
calculation), showing that the newly developed X-SH method satisfies
the detailed balance in the long-time limit, similarly to FOB-SH[50] and FE-SH.[46]
Figure 2
Population
dynamics of the interfacial state (CS1),
the charge-separated state (CSS), and the dark XT state (dark XT)
from X-SH (solid lines) and MCTDH (dashed lines) simulations, initialized
from the XT1 diabatic state. (a)–(c) show the dynamics
up to 200 fs, 1 ps, and 10 ps, respectively. The horizontal lines
(dash-dotted) in (b) and (c) indicate the thermal equilibrium (Boltzmann)
populations of the electronic states at 300 K. (c) is reproduced in
linear scale in Figure S2. The nuclear
and electronic time steps are 0.1 and 0.02 fs, respectively. The convergence
of the populations with respect to time step can be found in Figure S3.
Population
dynamics of the interfacial state (CS1),
the charge-separated state (CSS), and the dark XT state (dark XT)
from X-SH (solid lines) and MCTDH (dashed lines) simulations, initialized
from the XT1 diabatic state. (a)–(c) show the dynamics
up to 200 fs, 1 ps, and 10 ps, respectively. The horizontal lines
(dash-dotted) in (b) and (c) indicate the thermal equilibrium (Boltzmann)
populations of the electronic states at 300 K. (c) is reproduced in
linear scale in Figure S2. The nuclear
and electronic time steps are 0.1 and 0.02 fs, respectively. The convergence
of the populations with respect to time step can be found in Figure S3.The fast decay dynamics in X-SH after 100 fs could
be an artifact
of the classical treatment of nuclear motion. Similar observations
have been reported by Freixas et al., who found that (decoherence-corrected)
surface hopping exhibited a faster deexcitation dynamics than their
reference method, multiconfigurational Ehrenfest with ab initio multiple
cloning (whereas Ehrenfest, unsurprisingly, gave a too slow decay).[54] However, the decay dynamics in MCTDH could be
somewhat underestimated because of the zero-temperature conditions
and the limited number of modes included in the model. During radiationless
decay of XT1 to the CT1 state, up to 0.5 eV
of electronic energy needs to dissipate via the nuclear degrees of
freedom. Because only eight intramolecular modes per molecule (112
in total) are included, in the absence of intermolecular modes, the
excess electronic energy cannot efficiently dissipate. This is likely
to result in a slight overestimation of excited electronic states
(dark XT, CSS) and prevents full relaxation to the equilibrium populations.
In X-SH, all nuclear DoF, i.e., all intra- and intermolecular modes,
are included (5604 in total), in particular the low-frequency modes
that, as we show below, act as a heat bath absorbing the excess electronic
energy and establishing thermal equilibrium.In the following,
we trace the energy flow to the nuclear vibrations
during the electronic relaxation process in X-SH employing a normal-mode
analysis (NMA), similarly as in ref (55). To this end, the total kinetic energy is projected
on the 189 intramolecular normal modes of each OT9 molecule
in the electronically active region, further details are given in
the Supporting Information. The kinetic
energy of each mode averaged over all X-SH trajectories is shown in Figure as a function of
time. Most of the modes fluctuate stably around the mean thermal energy, kBT/2 = 13 meV at 300 K, at
any time (Figure b).
These modes do not couple with the electronic transitions and can
be interpreted as spectator or bath modes during the de-excitation
process. Only six intramolecular high-frequency modes (depicted in Figure S5) exhibit significant excess kinetic
energy during the first ∼500 fs of electronic relaxation; see Figure a. This is followed
by dissipation of the excess kinetic energy to the spectator modes.
After a few picoseconds, the vibrational energy redistribution is
essentially complete. Thus, our analysis of the X-SH dynamics agrees
with the assumption made in MCTDH simulations that only a few high-frequency
modes are important in the relaxation process.[35,36] In fact, the six intramolecular modes identified in Figure a have frequencies (734–3228
cm–1) that are similar to those of the six highest
frequency modes selected in MCTDH (902–3238 cm–1). However, our results also highlight the importance of including
a sufficient number of bath modes to reach the equilibrium distribution.
Figure 3
Dissipation
of electronic excitation energy by vibrational modes
in X-SH simulations. Normal modes with kinetic energy exceeding 14
meV in at least one instance within the first 2 ps of relaxation dynamics
are shown in (a) and denoted “active” modes. The kinetic
energy fluctuations of all other normal modes, denoted “spectator”
modes, are shown in (b). The six “active” modes are
indicated in Figure S5. The kinetic energy
of each mode was averaged over 1000 X-SH trajectories; the thermal
average, kBT/2, is 13
meV at 300 K.
Dissipation
of electronic excitation energy by vibrational modes
in X-SH simulations. Normal modes with kinetic energy exceeding 14
meV in at least one instance within the first 2 ps of relaxation dynamics
are shown in (a) and denoted “active” modes. The kinetic
energy fluctuations of all other normal modes, denoted “spectator”
modes, are shown in (b). The six “active” modes are
indicated in Figure S5. The kinetic energy
of each mode was averaged over 1000 X-SH trajectories; the thermal
average, kBT/2, is 13
meV at 300 K.Analyzing 1000 X-SH trajectories, we identify seven
distinct exciton
decay pathways to the energetically lowest CT1 state, which
we briefly summarize in the following (see also Table with percentage of occurrence given and Figure for representative
X-SH trajectories). (1) As the initial XT1 diabatic state
projects to 34% on the CT1 adiabat (see the sidebar in Figure c), it can convert
directly to CT1 through decoherence. XT1 is
also observed to relax to CT1 (2) via the XT manifold, Figure a, (3) by the CS
manifold without formation of the CSS state, Figure b, or (4) by first passing through the XT
and then through the CT manifold or (5) vice versa or (6) via XT–CT
hybrid states. Finally, (7) XT1 can form the charge-separated
state (CSS) by passing through the CS manifold, Figure c.
Table 1
Seven Pathways for Exciton Relaxation
from the XT1 State, as Obtained from X-SH Simulationa
pathways
percentage
(1)
XT1 → CT1
33.7
(2)
XT1 → {XTn} →
CT1
24.7
(3)
XT1 → {CSn} →
CT1
6.3
(4)
XT1 → {XTn} → {CSn} → CT1
0.5
(5)
XT1 → {CSn} → {XTn} → CT1
3.8
(6)
XT1 → {XTn, CSn} → CT1
17.0
(7)
XT1 → {CSn} →
CSS → CT1
14.0
The percentage gives the number
of trajectories within the ensemble of 1000 X-SH trajectories following
the pathway indicated. A trajectory is classified as reaching the
{XT}, {CS}, or CSS manifold when the sum of XT1 to XT13, CS1 to CS13, or CS8 to CS13 populations is >95%, >95%, or >80%, respectively,
in at
least one instance in time.
Figure 4
Three pathways for exciton dissociation as obtained
from X-SH:
(a) XT1 → {XT} →
CT1, (b) XT1 → {CS} → CT1, and (c) XT1 →
{CS} → CSS → CT1. Initially, all population is on the XT1 state (black
bar). The XT manifold {XT} is color-coded
alternately in red and gray, and the CS manifold {CS} in blue and gray. XT1 to XT13 are
arranged from center to right, and CS1 to CS13 populations are arranged from center to left. The pathways in (a),
(b), and (c) are denoted as pathways (2), (3), and (7) in Table .
Three pathways for exciton dissociation as obtained
from X-SH:
(a) XT1 → {XT} →
CT1, (b) XT1 → {CS} → CT1, and (c) XT1 →
{CS} → CSS → CT1. Initially, all population is on the XT1 state (black
bar). The XT manifold {XT} is color-coded
alternately in red and gray, and the CS manifold {CS} in blue and gray. XT1 to XT13 are
arranged from center to right, and CS1 to CS13 populations are arranged from center to left. The pathways in (a),
(b), and (c) are denoted as pathways (2), (3), and (7) in Table .The percentage gives the number
of trajectories within the ensemble of 1000 X-SH trajectories following
the pathway indicated. A trajectory is classified as reaching the
{XT}, {CS}, or CSS manifold when the sum of XT1 to XT13, CS1 to CS13, or CS8 to CS13 populations is >95%, >95%, or >80%, respectively,
in at
least one instance in time.The formation of the desired CSS state via pathway
(7) may be best
described as “hot carrier dissociation”. However, because
of the finite system size of our model, virtually all of the generated
CSS population converts to CT1 within a few picoseconds.
Because the charge carriers in the CSS state are beyond the maximum
of the Coulomb barrier, in a larger model, they would become free
carriers, swept toward the electrodes by the electric field or recombining
bimolecularly at longer times (geminate recombination). Once the system
has relaxed to CT1 via pathways (1)–(7), the escape
from that state is negligible (<1%) on the time scale of present
simulations (10 ps), unsurprisingly because CT1 is >0.2
eV below the next highest states, CSS and the dark XT state in our
model. Thus, for the given model parameters employed, our simulations
predict that charge carrier generation occurs exclusively via the
“hot carrier dissociation” pathway on the 10 ps time
scale of present simulations. Though this does not exclude the possibility
for dissociation of CT1 to the CSS state (“cold
carrier dissociation” pathway), which may well occur on longer,
nanosecond time scales and other material parameters.In summary,
we have extended our surface hopping methodology to
enable the simulation of exciton dissociation to charge carriers in
molecular materials. We found that the developed X-SH approach agrees
very well with ML-MCTDH in predicting the decay dynamics and state
populations at ultrafast time scales (<100–200 fs) as well
as the intramolecular modes to which the excess energy is transferred.
Thereafter, X-SH predicts a fairly rapid decay to the equilibrium
populations of electronic states in a few picoseconds, not seen in
MCTDH, possibly because of the lack of low-frequency bath modes or
missing temperature effects in the latter calculations. MCTDH calculations
incorporating those effects might clarify this issue in the future.
On the whole, nuclear quantum effects such as nuclear tunneling and
zero point motion that are missing in X-SH, do not seem to be overly
important for the prediction of the population dynamics, at least
for the current model at room temperature. This is likely because
of the strong electronic coupling between the states in our model
facilitating relaxation to the ground state without having to cross
high barriers where tunneling and zero point motion are likely to
become important. Thus, we conclude that X-SH appears to be a promising
method for the simulation of exciton relaxation processes in this
regime that is characteristic for organic optoelectronic materials.A major advantage of X-SH compared to fully quantum dynamical methods
is its computational efficiency permitting the simulation of realistic
2D and possibly 3D nanoscale systems (>10 nm) comprising hundreds
or more molecular sites. Moreover, it is straightforward to include
in a realistic manner many of the effects that have not been included
in the present study: charge delocalization in acceptor and donor,
thermal fluctuations of excitonic and electronic couplings (i.e.,
off-diagonal electron–phonon couplings) in donor and acceptor
phases and at the interface, recombination to the electronic ground
state, influence of interface geometry and static disorder. Work in
our laboratory is currently ongoing to include these effects in X-SH.
Authors: Koen Vandewal; Steve Albrecht; Eric T Hoke; Kenneth R Graham; Johannes Widmer; Jessica D Douglas; Marcel Schubert; William R Mateker; Jason T Bloking; George F Burkhard; Alan Sellinger; Jean M J Fréchet; Aram Amassian; Moritz K Riede; Michael D McGehee; Dieter Neher; Alberto Salleo Journal: Nat Mater Date: 2013-11-17 Impact factor: 43.841
Authors: Brett M Savoie; Akshay Rao; Artem A Bakulin; Simon Gelinas; Bijan Movaghar; Richard H Friend; Tobin J Marks; Mark A Ratner Journal: J Am Chem Soc Date: 2014-02-07 Impact factor: 15.419