Moritz Heindl1, Leticia González1. 1. Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währingerstrasse 17, 1090 Vienna, Austria.
Abstract
Laser control of chemical reactions is a challenging field of research. In particular, the theoretical description of coupled electronic and nuclear motion in the presence of laser fields is not a trivial task and simulations are mostly restricted to small systems or molecules treated within reduced dimensionality. Here, we demonstrate how the excited state dynamics of [Ru(S-Sbpy)(bpy)2]2+ can be controlled using explicit laser fields in the context of fewest-switches surface hopping. In particular, the transient properties along the excited state dynamics leading to population of the T1 minimum energy structure are exploited to define simple laser fields capable of slowing and even completely stopping the onset of S-S bond dissociation. The use of a linear vibronic coupling model to parametrize the potential energy surfaces showcases the strength of the surface-hopping methodology to study systems including explicit laser fields using many nuclear degrees of freedom and a large amount of close-lying electronic excited states.
Laser control of chemical reactions is a challenging field of research. In particular, the theoretical description of coupled electronic and nuclear motion in the presence of laser fields is not a trivial task and simulations are mostly restricted to small systems or molecules treated within reduced dimensionality. Here, we demonstrate how the excited state dynamics of [Ru(S-Sbpy)(bpy)2]2+ can be controlled using explicit laser fields in the context of fewest-switches surface hopping. In particular, the transient properties along the excited state dynamics leading to population of the T1 minimum energy structure are exploited to define simple laser fields capable of slowing and even completely stopping the onset of S-S bond dissociation. The use of a linear vibronic coupling model to parametrize the potential energy surfaces showcases the strength of the surface-hopping methodology to study systems including explicit laser fields using many nuclear degrees of freedom and a large amount of close-lying electronic excited states.
Laser fields can be used to
monitor and to modify ultrafast dynamical processes on a molecular
level. Experimental progress in laser spectroscopy allows increasing
resolution to unravel the flow of excited molecular wave packets.[1] In parallel, dynamical simulations provide atomistic
insight into the potential energy surfaces (PESs) visited by the wave
packets.[2] However, only a few of these
simulations include explicit laser fields to excite the system and
thus reconcile experimental and theoretical observations.[3−13]The observed excited state dynamics can be altered using additional
pulses tailored to yield outcomes differing from those of the unperturbed
dynamics.[14−16] Here, a classification into weak- and strong-field
effects is useful, where weak-field pulses induce transitions between
states but do not change the shape of the respective PESs and strong-field
pulses influence the dynamics by introducing time-dependent PESs.
The large number of successful simulations reported in the literature
(see, e.g., refs (17−26)) highlights their versatility. In general, two main avenues can
be distinguished to design computationally control pulses.[16] One is based on exploiting knowledge about the
underlying PES and designing laser pulses with a particular reaction
pathway. The other uses automated control theories in the form of
optimal or local control theory. In optimal control theory, a desired
product state or property is maximized over the course of the complete
dynamics, relying on a multitude of runs, resulting in an iteratively
adapting pulse.[16,19,27] In contrast, local control theory tries to maximize the chosen state
or property in each time step, requiring only a single simulation
to yield a locally optimized pulse shape.[17,18,28,29] The downside
of these forms of control is the non-analytical shape of the resulting
fine-tuned pulses, often hindering physical interpretation of the
excited state mechanisms at work and complicating experimental realization
of these pulses.Previous theoretical work using explicit laser
control pulses was
mostly done on small systems or by relying on few selected degrees
of freedom as well as with limiting participating states, as the sheer
number of states and possible relaxation pathways in large systems
complicates the excited state dynamics considerably. In this Letter,
we use nonadiabatic dynamics simulations in 161 nuclear degrees of
freedom to manipulate the excited state dynamics of [Ru(S–Sbpy)(bpy)2]2+ (bpy = 2,2′-bipyridine).
This transition metal complex is a prototype of experimentally relevant
metal-based photosensitizers, with sufficient complexity so that many
competing processes take place and control is not straightforward.
The peripheral disulfide bridge induces the appearance of metal-to-ligand
charge-transfer states localized on the S–Sbpy ligand
(henceforth labeled MSCT) at energies lower than those pertaining
to the standard MLCT states localized on the bpy ligands.[30,31] However, selective excitation of the MLCT or MSCT states in the
ultraviolet (UV) range leads to a decay into the lowest T1 state in <200 fs, regardless of the initially populated states[32] (see Figure a). This unselective deactivation is due to the high
density of states that form a ladder along which efficient funneling
into the T1 state occurs. The T1 state, with
the excited electron located at the S–Sbpy ligand,
relaxes by weakening the S–S bond and eventually undergoes
sulfide extrusion giving a monosulfurated decomposition product.[31] Such unwanted reaction ruins the promising applications
of this complex for excited state proton-coupled multielectron transfer
reactivity via the peripheral disulfide/dithiol switch. This work
is thus an ambitious attempt to avoid S–S dissociation by altering
the natural dynamics of a transition metal complex that possesses
a extensive number of nuclear and near-degenerate electronic degrees
of freedom.
Figure 1
(a) Schematic representation of the natural excited state dynamics
of [Ru(S–Sbpy)(bpy)2]2+. After
irradiation with a UV laser pump pulse at 2.95 eV, mostly MLCT states
at the bpy ligands are excited (in petrol green). Within a few hundred
femtoseconds, subsequent intersystem crossing (ISC) and internal conversion
(IC) lead to the population of states where the excited electron is
located at the S–Sbpy ligand (orange). From there,
the T1 state is reached and the S–S bond length
increases. (b) Upon addition of a subsequent IR laser control pump
field (or a sequence of those), S–S weakening prevented by
transferring population from the MSCT back to the MLCT states. This
is followed by a number of internal relaxations (IC, ISC, or a combination
of both), resulting in localization of the excited electron on the S–Sbpy ligand. Upon population of the lowest-energy
excited state, an elongation of the S–S bond can be observed.
(a) Schematic representation of the natural excited state dynamics
of [Ru(S–Sbpy)(bpy)2]2+. After
irradiation with a UV laser pump pulse at 2.95 eV, mostly MLCT states
at the bpy ligands are excited (in petrol green). Within a few hundred
femtoseconds, subsequent intersystem crossing (ISC) and internal conversion
(IC) lead to the population of states where the excited electron is
located at the S–Sbpy ligand (orange). From there,
the T1 state is reached and the S–S bond length
increases. (b) Upon addition of a subsequent IR laser control pump
field (or a sequence of those), S–S weakening prevented by
transferring population from the MSCT back to the MLCT states. This
is followed by a number of internal relaxations (IC, ISC, or a combination
of both), resulting in localization of the excited electron on the S–Sbpy ligand. Upon population of the lowest-energy
excited state, an elongation of the S–S bond can be observed.The simulation and control of the excited state
dynamics of [Ru(S–Sbpy)(bpy)2]2+ are performed
using trajectory surface-hopping dynamics simulations with the SHARC
(surface hopping including arbitrary couplings) package.[33−35] SHARC is an extension of Tully surface hopping,[36] where nonadiabatic couplings are considered as are spin–orbit
couplings and dipole couplings, the latter enabling explicit interaction
with laser fields.[4,37] The trajectories are based on
a set of 4000 initial conditions created from a ground state Wigner
sampling.[38] The PESs of the molecule are
obtained from a linear vibronic coupling model (LVC),[39,40] which includes 21/19 singlet/triplet electronic states and 161 vibrational
normal modes with parameters described elsewhere.[32] As an LVC model cannot describe dissociation, we only monitor
the initial stretching of the S–S bond. The transition dipole
moments that account for the interaction with external laser fields
are calculated with the pySOC suite.[41] Further
computational details are available in section S1 of the Supporting Information.Before undertaking
the challenge to modify the excited state dynamics
of the complex, we need to investigate the natural response of the
molecule using an excitation pump pulse explicitly. To this aim, we
employ a pulse with an energy of 2.95 eV, resonant with the main absorption
peak of mainly MLCT character,[32] henceforth
labeled as pumpUV pulse (Figure S1 and Table S1). We take a Gaussian envelope
function with a full width at half-maximum (fwhm) of 50 fs, corresponding
to a peak intensity of 75 GW/cm2 (1.46 × 10–3 au maximum amplitude of the electric field). This pumpUV pulse can invert 41% of the population (see Figure a) from a set of 4000 trajectories initialized
in the electronic singlet ground state. Further details about the
laser pulse are provided in section S2.
The resulting time-dependent populations are shown in Figure a. They are classified according
to their electronic character as follows. [Ru(S–Sbpy)(bpy)2]2+ is split into four fragments,
the central metal atom (M), the two bpy ligands (L and L), and S–Sbpy (S). If both the electron and the hole in the
excitation are located on the same fragment, the state is a centered
state (that is, metal-centered MC, ligand-centered LC, or SC), while
if electron and hole are located on different fragments, the states
show charge-transfer (CT) character (i.e., MLCT, MSCT, LMCT, SMCT,
LSCT, SLCT, and LLCT). This analysis is done from the transition density
matrices using TheoDORE.[42]
Figure 2
(a–e) Time-dependent
populations classified according to
their charge-transfer character influenced by the pulse sequences
depicted. (f) Time evolution of the average S–S bond length
for all excited trajectories simulated using the pulse sequences depicted
in panels a–e.
(a–e) Time-dependent
populations classified according to
their charge-transfer character influenced by the pulse sequences
depicted. (f) Time evolution of the average S–S bond length
for all excited trajectories simulated using the pulse sequences depicted
in panels a–e.According to their electronic
character, the pumpUV pulse
excites a mixture of MLCT, MSCT, and SC states (Figure a). However, after ∼100 fs, there
is a clear decline of the MLCT contribution in favor of MSCT states.
This decline agrees with the decrease previously found in the simulations
of ref (32) that instead
of a pump pulse used an instantaneous excitation (i.e., placing all
of the trajectories at t = 0 fs directly in the electronic
excited states, reminiscent of the reflection principle in wave packet
dynamics[43]). Both sets of dynamics are
yet different at initial times: upon instantaneous excitation,[32] the initial distribution of CT states is dominated
by MLCT states, which then undergo ultrafast transfer into MSCT states;
using a finite pulse, there is an almost equal mixture of MSCT+SC
and MLCT states at the peak of the pulse. The latter is due to the
delayed excitation implicit within the finite pump pulse, where any
excited trajectory will already start the ultrafast relaxation toward
MSCT states while other trajectories are being excited a bit later,
resulting in a mixture of populations at the peak of the pulse.Population of the T1 state is associated with an increase
in the equilibrium S–S bond length, which in the employed LVC
model goes from 2.11 Å in S0 to 2.34 Å in T1. Note that the latter value is underestimated with respect
to TD-DFT reference calculations,[32] due
to the harmonic character of the LVC potentials. In any case, the
elongation of the average S–S bond length for all excited trajectories
(Figure f) can be
taken as a clear indication of S–S dissociation leading to
eventual sulfide extrusion.[31] The observed
S–S bond stretching is not linear but goes in steps. The initial
peak can be explained by two concurrent effects. On one hand, a coherent
increase in the S–S bond length for the excited state trajectories
is visible as trajectories are promoted out of the S–S equilibrium
bond length in the S0 state. On the other hand, the use
of a Gaussian-shaped pump pulse imprints a Gaussian shape in the evolution
of the properties of the excited wave packet (section S3). Indeed, the first maximum of the S–S bond
length average located at 104.5 fs has exactly the width of the intensity
of the laser pulse (Figure S2) and arises
29.5 fs after the maximum of the pump pulse. Therefore, excited trajectories
take on average 30 fs to increase the S–S bond length from
the initial length. Subsequent maxima are roughly 75 fs apart, corresponding
to the time needed for a single oscillation of the disulfide bond.
Those subsequent maxima undergo a visible broadening at later times
due to an increase in the population of the T1 state and
relaxation to the respective minimum structure featuring the weakened
S–S bond. The weakened disulfide bond in turn increases the
time needed for a single oscillation, resulting in a broadening in
time for reaching the S–S bond length maxima as more and more
trajectories fall out of sync.Looking at the PESs that connect
S0 with the T1 minimum structures (Figure ), one can see that
all states but T1 are destabilized
when approaching the T1 minimum. Thus, once the T1 state is populated, relaxation is barrierless and almost ballistic.
The high density of states surrounding the initially excited states
opens up a multitude of different branching pathways, all eventually
leading to the T1 state, where the excited electron is
located at the S–Sbpy ligand. To modify this ultrafast
decay toward states that involve the S–Sbpy ligand
and ultimately lead to an S–S bond length elongation, a suitable
target needs to be defined. Keeping in mind that the T1 state is of MSCT+SC character and knowing that MLCT states are found
at energies higher than their MSCT counterparts, we set our control
goal to increase the population of states located at the plain bpy
ligands through the dynamics. Due to the large number of states, different
onset times, and possible relaxation routes, no suitable laser pulse
can be derived from a mere inspection of the PESs in Figure . Instead, and borrowing from
local control theory,[44] we define the time-dependent
target quantity pL(E, t)where
β is the electronic state the
trajectory currently populates (active state) that will change over
the course of the dynamics for each trajectory and α is another
excited state with a particular percentage of MLCT character (MLCTα). The transition dipole element between α and
β (μ) is proportional
to the ease of a transition between both states, and E is the energy difference
between the active state and state α indicating if an excited
state is located above the currently active electronic state (positive
value of E) or below it (negative value of E) and therefore reminiscent of the frequency needed for resonance
between β and α. This time-dependent measure can be evaluated
for each state and each time step for all trajectories to obtain a
map that showcases which laser pulses are likely to excite population
into the MLCT band.
Figure 3
Potential energy plot for all considered states in a spin-mixed
representation along the interpolation of internal coordinates from
the S0 to the T1 minimum energy geometry. The
lowest-energy excited state is colored black, and the region where
the pump pulse will promote strongest is marked in yellow. Note that
the electronic ground state is not shown.
Potential energy plot for all considered states in a spin-mixed
representation along the interpolation of internal coordinates from
the S0 to the T1 minimum energy geometry. The
lowest-energy excited state is colored black, and the region where
the pump pulse will promote strongest is marked in yellow. Note that
the electronic ground state is not shown.To further increase the selectivity between MLCT and MSCT or SC
states, we expand the quantity pL(E, t) to p(E, t), defined aswhere MSCTα and SCα are the contributions of MSCT and SC character, respectively, of
excited state α. We collected p(E, t) values
for 1000 trajectories propagated during 250 fs, starting in S0, and using the pump pulse described above. The resulting p(E, t) values have been convoluted in energy
with Gaussian functions of 0.3 eV fwhm, yielding Figure .
Figure 4
Values of p(E, t) initiated by the pumpUV pulse,
reminiscent of the density of trajectories that could transiently
be excited from the current active state to either MLCT states [positive p(E, t) values colored from light blue to white]
or MSCT+SC states [negative p(E, t) values
colored green]. The y-axis is the energy needed for
a resonant transition with the active state. The pump pulse is colored
black, and a viable laser frequency for exciting MLCT states is indicated
with horizontal gold lines.
Values of p(E, t) initiated by the pumpUV pulse,
reminiscent of the density of trajectories that could transiently
be excited from the current active state to either MLCT states [positive p(E, t) values colored from light blue to white]
or MSCT+SC states [negative p(E, t) values
colored green]. The y-axis is the energy needed for
a resonant transition with the active state. The pump pulse is colored
black, and a viable laser frequency for exciting MLCT states is indicated
with horizontal gold lines.We see that around t = 75 fs, MLCT bands (light
blue) that could be transiently excited build around 0.5 eV above
and below the currently active state (see gold lines). Note that the
value of 0.5 eV corresponds to excitation into excited states located
0.5 eV above the state in which the trajectory is currently evolving,
while a value of −0.5 eV stands for spontaneous emission into
states 0.5 eV below the active state. MSCT+SC states (green) instead
are found at lower energy differences (1.2 eV below the active states),
corroborating their overall stabilization with respect to the MLCT
states. Throughout the dynamics, the energetic position of these MLCT
and MSCT+SC bands stays constant, fading out slowly only toward the
end of the dynamics as they represent lower-energy states that can
be accessed from rather high energy states; these higher-energy states
become less and less populated the longer the dynamics continues due
to nonadiabatic relaxation to lower-energy states. An additional MSCT+SC
band appears at the same energy as the active states (0 eV in Figure ), representing the
fact that a large number of trajectories are now found in the MSCT+SC
band of states from where other MSCT+SC states can be excited with
<0.2 eV. Finally, we can see that a MLCT band arises around 200
fs at ∼2 eV. This additional band represents trajectories that
are very close to the T1 minimum energy geometry from which
the MLCT band is far in energy (∼2 eV).The analysis
of the measure p(E, t) reveals
whether the active trajectory can be excited to either MSCT+SC or
MLCT states at a given time and which wavelengths would be best suited
to do so. Using this information, two different control pulses capable
of promoting the active trajectory to an MLCT state can be envisioned.
In one, a pulse with a central frequency of 2 eV could be used to
excite trajectories close to the T1 minimum geometry back
to MLCT states, from where the S–S bond would contract. Figure shows that this
pulse might be a viable option toward the later stages of the dynamics
where this light blue band becomes visible at 2 eV as more trajectories
start to populate the T1 minimum structure. A second realization
for a control pulse could act at a much lower frequency (0.5 eV) and
target trajectories in the process of descending down the ladder of
states toward the low-lying MSCT+SC states. The respective energy
gap (±0.5 eV) is marked in gold in Figure , where one can see that this pulse would
consistently promote trajectories to MLCT states throughout the dynamics.
However, when appraising the benefits and drawbacks of the two possible
control pulses, one must realize that a 2 eV pulse would also act
as an additional pump pulse inverting the S0 population,
further complicating the ensuing dynamics. Therefore, the 2 eV pulse
was discarded and only the infrared (IR) 0.5 eV pulse will be used
besides the original pumpUV pulse. We note that surface
hopping cannot account for vibrationally excited states that could
potentially be excited by an IR pulse within the electronic ground
and excited states, so these are excluded.Accordingly, the
following two-pulse setup is envisioned: the pumpUV pulse
used previously to excite the population from S0, followed
by a 0.5 eV pulse (labeled pumpIR),
with again a fwhm 50 fs Gaussian envelope and a maximum intensity
of 75 GW/cm2 (corresponding to a 1.46 × 10–3 au maximum amplitude of the electric field). The schematic influence
of the expected dynamics when applying the pumpIR to control
the dynamics of [Ru(S–Sbpy)(bpy)2]2+ is shown in Figure b. The delay time (τ) between UV and IR pulses is defined
aswhere t0,IR and t0,UV are the centers of the IR and UV pulses,
respectively. This delay is set to 115 fs (section S3 and Figure S3) to guarantee a distinct separation between
the initial UV pump and the IR pulse. We note that because the transition
dipole moments of [Ru(S–Sbpy)(bpy)2]2+ are very large and they are paired with an intense laser
field, the resulting dynamics will be a combination of weak- and strong-field
effects. The evolution of the states triggered by the pumpUV–pumpIR pulse sequence is shown in Figure b. During the duration of the
pumpIR pulse, an increase in the level of MLCT character
is visible, accompanied by a decrease in the level of MSCT character,
resulting in a distribution of MLCT to MSCT+SC characters similar
to the distribution at the end of the pumpUV pulse. Accordingly,
the average S–S bond length of excited trajectories (Figure f) undergoes a large
decrease during the time the pumpIR pulse is on. Both observations
indicate a successful population of MLCT states during the pumpIR pulse, which in turn leads to a hardening of the S–S
bond. However, as the pumpIR pulse ends, repopulation of
the MSCT states is observed paired with an increase in the average
S–S bond length.As a next attempt to stop the decay
toward the T1 state
completely, the pumpIR pulse was substituted with a continuous
wave with a frequency of 0.5 eV providing a permanent drain from MSCT
to MLCT. This continuous wave overlaps with the pumpUV pulse,
so that it excites few trajectories at earlier times than the pulse(s)
of panels a and b of Figure , as one can see in Figure c. After the pumpUV pulse ends, more and
more trajectories are excited with 51% population inversion at 350
fs. As intended, the decay of the MLCT character is completely blocked
and the ratio of CT states remains constant after the maximum of the
initial pumpUV pulse. Furthermore, the S–S bond
length (Figure f)
oscillates around a value of 2.145 Å, only slightly longer than
the equilibrium value (2.11 Å). Thus, this permanent IR continuous
wave traps the excited population effectively in a mixture of states
where the electron is located at any of the three ligands without
relaxing to the T1 minimum structure.Finally, we
investigate whether the continuous wave can be efficiently
replaced by a train of short pumpIR pulses, allowing for
a more targeted modulation of the excited state dynamics, where each
single IR pulse would promote population of MLCT states accompanied
by a reduction of the S–S bond. To position the pump pulses,
we use the oscillations of the S–S bond length, so that the
pump pulses are placed at the respective maxima. We use three pumpIR pulses with a fwhm of 20 fs, separated from each other by
73 fs with the first acting with a τ of 102 fs between the pumpUV pulse and the first IR pulse. The resulting dynamics are
shown in Figure d.
As one can see, the level of MLCT character increases during the duration
of all three laser pulses at the expense of the MSCT contribution
and the S–S bond decreases strongly for each pulse hitting
the complex. However, concomitant with each decrease in S–S
bond length, there is a stronger increase, leading to even stronger
coherent oscillations after each pulse. This unwanted behavior can
be rationalized by two accumulating effects. One relates to the timing
of the pumpIR pulses, which acting at the maximum of the
S–S bond length for most trajectories, promotes the system
to populate MLCT states, but the accompanying hardening of the bond
results in an increase in kinetic energy along the S–S bond
vibration, resembling a swing on a playground where an extra force
is applied when the maximum height is reached. The second is that
the strong pumpIR pulses can increase the level of synchronization
between more and more trajectories as the PESs shift with the time-dependent
slow oscillations of the pulse. As a result, this train of IR pulses
is not useful for preventing S–S dissociation.An alternative
is to set the center of the IR pulses asynchronous
to the S–S bond oscillations to obtain the opposite of the
swing effect described above. To this aim, another train of pumpIR pulses is simulated, starting from the same first IR pulse
with all subsequent laser pulses acting with a τ of only 50
fs. This way, the first pumpIR pulse initiates the swing,
which is then damped by the next pulse acting before a full oscillation
of the S–S bond can be completed, effectively removing kinetic
energy from the vibration. The time-resolved population is depicted
in Figure e. A larger
proportion of MLCT states and a decrease in the average S–S
bond length are achieved, when compared to those of the previous pulse
sequence. The asynchronous timing of the pulses with respect to the
S–S bond oscillations results in an effective shortening of
the average S–S bond length compared to the uncontrolled dynamics,
giving an average bond length that oscillates around a value of 2.16
Å.At this point, it is appropriate to discuss the limitations
of
the model employed. We were able to perform laser-induced nonadiabatic
simulations of a system featuring 161 nuclear degrees of freedom within
a total of 78 electronic states relying on a series of approximations.
(i) The underlying LVC model is valid only close to the ground state
equilibrium geometry and in rigid molecules, such as transition metal
complexes. However, adjustments to the LVC model had to be made to
allow the correct energetic and structural position of the T1 state, as detailed in ref (32). Within these constraints, the model is expected to give
a reasonable dynamical behavior during the time of the simulation.
(ii) One serious limitation is that due to the use of harmonic potentials,
LVC models cannot describe bond dissociation.[45] Thus, in this work our analysis focuses on only the early elongation
of the S–S bond. We investigate how the molecule approaches
the T1 minimum structure optimized by TD-DFT, which is
the first step toward dissociation. As a consequence, we cannot predict
the time scale or quantum yield of actual dissociation, as none of
our simulated S–S bond oscillations can dissociate. Instead,
our laser control strategy is targeted to counteract the relaxation
of all trajectories on the way to the T1 minimum. (iii)
Spin–orbit couplings and the complete dipole matrix are taken
only from the reference geometry, and the respective matrices at other
geometries are formed via mixing of states. This approximation is
valid for slowly changing properties, as it is the case of spin–orbit
couplings. For the dipole moments, it is not possible to quantify
the error introduced, both within the pumpUV and within
the pumpIR, which acts on the molecule farther from the
Franck–Condon position. However, we assume that the results
should not change qualitatively, the major difference being the amount
of trajectories that would be excited to the target states, a problem
that can be solved by adjusting the laser intensity. (iv) Furthermore,
surface hopping has its own inherent limitations due to the use of
independent classical trajectories. The independent simulation of
each trajectory leads to a complete neglect of nuclear interference
terms that might be especially strong in the presence of laser fields,
inducing a coherent set of excited state pathways. The classical nature
of each trajectory means that the interaction with the pumpIR pulse misses the potential excitation of vibrational states. Previous
investigations using surface hopping in the presence of a laser indicate
that caution should be exercised in the choice of parameters[11,13,46] or when using long laser pulses.[5] Due to the different lengths of the employed
laser pulses, different deviations from exact results could occur,
with the largest deviation predicted for the continuous wave.In conclusion, in this Letter we show how the excited state dynamics
of [Ru(S–Sbpy)(bpy)2]2+, a
derivative of the well-known photosensitizer [Ru(bpy)3]2+, can be modified using laser pulses in the context of surface-hopping
trajectory simulations. We show that a simple IR pulse can transiently
excite the population away from the pathway to the T1 minimum
energy structure, which is characterized by a weakening of the S–S
bond that finally leads to dissociation. However, after the pulse
ends, the natural course of the dynamics turns on, steering back toward
the T1 minimum and thus leading to S–S bond stretching.
By replacing the infrared pulse by a continuous wave of the same frequency,
we demonstrate that the distribution of populated states and the S–S
bond length can be frozen almost at the ground state equilibrium value
preventing dissociation. Similar effects can be achieved by using
a train of pulses, where depending on the interval between two pulses,
the oscillations of the S–S bond can be better synchronized
or kept at a strongly reduced level close to the modifications achieved
using a continuous wave. By ultimately avoiding sulfide extrusion,
such a compound could be subsequently reduced by exploiting the two-electron,
two-proton nature of the disulfide/dithiol interconversion and find
applications in solar fuel generation.This example suggests
that control of excited state dynamics in
large molecular systems can be successfully modeled in very high dimensionality
and can hopefully inspire laser control experiments. The presented
approach could be extended to other transition metal complexes, where
manipulating the different electronic states can be useful for breaking
or holding a particular bond or pushing electron transfer in a particular
direction.
Authors: Juan José Bajo; Jesús González-Vázquez; Ignacio R Sola; Jesus Santamaria; Martin Richter; Philipp Marquetand; Leticia González Journal: J Phys Chem A Date: 2012-01-05 Impact factor: 2.781
Authors: Felix Plasser; Sandra Gómez; Maximilian F S J Menger; Sebastian Mai; Leticia González Journal: Phys Chem Chem Phys Date: 2018-12-19 Impact factor: 3.676