Open Access Article
Royle
Perez-Castillo
a,
Victor M.
Freixas
b,
Shaul
Mukamel
b,
Aliezer
Martinez-Mesa
ac,
Llinersy
Uranga-Piña
ac,
Sergei
Tretiak
d,
Maxim F.
Gelin
e and
Sebastian
Fernandez-Alberti
*a
aDepartamento de Ciencia y Tecnologia, Universidad Nacional de Quilmes/CONICET, B1876BXD Bernal, Argentina. E-mail: sfalberti@gmail.com
bDepartment of Chemistry and Physics and Astronomy, University of California, Irvine, California 92697-2025, USA
cDynAMoS (Dynamical Processes in Atomic and Molecular Systems), Facultad de Física, Universidad de La Habana, San Lázaro y L, La Habana 10400, Cuba
dTheoretical Division and Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
eSchool of Sciences, Hangzhou Dianzi University, Hangzhou 310018, China
First published on 16th July 2024
The efficiency of light-harvesting and energy transfer in multi-chromophore ensembles underpins natural photosynthesis. Dendrimers are highly branched synthetic multi-chromophoric conjugated supra-molecules that mimic these natural processes. After photoexcitation, their repeated units participate in a number of intramolecular electronic energy relaxation and redistribution pathways that ultimately funnel to a sink. Here, a model four-branched dendrimer with a pyrene core is theoretically studied using nonadiabatic molecular dynamics simulations. We evaluate excited-state photoinduced dynamics of the dendrimer, and demonstrate on-the-fly simulations of its transient absorption pump–probe (TA-PP) spectra. We show how the evolutions of the simulated TA-PP spectra monitor in real time photoinduced energy relaxation and redistribution, and provide a detailed microscopic picture of the relevant energy-transfer pathways. To the best of our knowledge, this is the first of this kind of on-the-fly atomistic simulation of TA-PP signals reported for a large molecular system.
The photoinduced dynamics of dendrimers and their building blocks have been analysed using a variety of theoretical14–27 and experimental approaches.28–36 These studies reveal their rich excited-state dynamics involving processes such as intramolecular electronic and vibrational energy relaxation and redistribution, radiative and nonradiative decay, effects of static and dynamic disorder, coherences, transient exciton self-trapping, molecular scrambling, structural rearrangements, and planarization. These complex and simultaneous processes can be explored in detail using on-the-fly atomistic non-adiabatic excited state molecular dynamics simulations. This task can be afforded by using mixed quantum/classical approaches to describe non-adiabatic dynamics.37,38 Different computational codes enable these simulations in realistic molecular or materials systems, such as NEWTON-X,39–41 SHARC,42–44 PYXAID,45,46 NWChem,47,48 and NEXMD,49–51 to name a few. Particularly, the NEXMD software package49,50 can deal with large conjugated molecules featuring multiple coupled electronic excited states. This code has been previously used for the simulations of different types of dendrimers11,22,24,31,52,53 showing its suitability for the analysis of their photoexcited energy relaxation, redistribution and transfer.
Experimental monitoring of ultrafast photoinduced non-adiabatic dynamics in such molecular systems can be accomplished by transient-absorption (TA) spectroscopy with laser pulses which have specific temporal envelopes and polarizations.54–59 Simulations of these signals have been performed by using several theoretical methods.60–68 For example, on-the-fly simulations of TA pump probe (TA-PP) signals of different polyatomic chromophores have been performed using the cumulant/harmonic approximation for the evaluation of vibrational contributions61–63 and real-time time-dependent density-functional theory (RT-TDDFT).64–66,69 However, virtually all ab initio simulations of spectroscopic signals are performed in the impulsive limit (Dirac delta-function pulse envelopes) and without proper orientational averaging (aligned samples). More recently, a practical approach for the ab initio simulations of femtosecond TA-PP signals of nonadiabatic dynamics in molecular systems has been proposed.70,71 This approach combines the classical approximation to the doorway-window (DW) representation introduced by Mukamel and coworkers72–74 with the on-the-fly trajectory simulations. This methodology, which showed its efficiency in the simulations of TA signals of pyrazine,70 phenylene ethynylene dendrimers building blocks27 and azomethane,75 was further extended to the simulation of photoelectron,76 electronic two dimensional77 and femtosecond pump – X-ray probe signals.78 The TA-PP signal is calculated as the product of the doorway operator (at the initial time, t = 0) and the window operator (at the time delay t between the pump and probe pulses), averaged over all quantum-classical nonadiabatic excited-state trajectories. Trajectory surface hopping algorithms37,38,79–82 were commonly used in these simulations.
Herein, we demonstrate how TA signals can be simulated – without extra computational cost – with proper (e.g. experimental) pulse envelopes and polarizations as well as orientational averaging. Specifically, we employ the DW formalism to model an efficient energy funnel that takes place during nonadiabatic excited state molecular dynamics of large multi-chromophoric conjugated realistic systems like the tetra-branched dendrimer T1 (see Fig. 1(a)) with a pyrene as a core and fluorene/carbazole as dendrons. The calculated TA spectra agree well with experiments.32 We show that the simulated signals monitor in real time photoinduced energy relaxation and redistribution in the T1 dendrimers and provide a detailed microscopic picture of the relevant energy-transfer pathways. To the best of our knowledge, this is the first of this kind of on-the-fly atomistic simulation of TA-PP signals reported for large molecular systems.
![]() | ||
| Fig. 1 (a) Chemical structure of the dendrimer T1; (b) superposition of snapshots obtained from the ground state molecular dynamics simulations at room temperature indicating conformational flexibility of the molecule; (c) calculated linear absorption spectra (black dashed) from these snapshots with separate contributions (colors) from the different excited states. Vertical lines mark oscillator strength values obtained at the optimized ground state geometry, and the corresponding spatial distribution of electronic transition densities of S1 and S2 states calculated at the optimized ground state geometry, are shown in the insets. The black solid line shows the experimental linear absorption spectra.32 | ||
The electronic states of the tetra-branched dendrimer T1 can be grouped into three energetically separated regions; {0} is the ground state; {I} involves a manifold of states that can be initially excited by the pump pulse from the ground state; and {II} comprises a manifold of the states that can be excited by the probe pulse from states {I}.70,71 The energies of the states from the groups {I} and {II} match ≈Epu and ≈2Epu, respectively. For the pump pulse centered at Epu = 426 nm, the lowest five excited states are included in the manifold {I} (see also Fig. 1(c)), and the next 295 states are included in the manifold {II}. Table 1 summarizes the vertical excitation energies (VEEs) of the first five excited electronic states from {I}, as well as the transition dipole moments μx,y,z,tot with respect to a body-fixed reference frame with the x, and y axes defined in the plane of pyrene according to ESI Fig. S1.† Although the molecule formally belongs to the C2h symmetry group, the high flexibility of the branches under thermal fluctuation leads to significant deviations from the symmetric configurations. Nevertheless, the molecular excited state structure can be analyzed as a set of coupled chromophore units; i.e., a central core pyrene moiety and four equivalent branches. In this sense, the Frenkel exciton model becomes an ideal reduced framework allowing to rationalize properties of the first five low-lying electronic excitations (see ESI† for details on the corresponding Frenkel Hamiltonian model). According to this model, the first excitation is mainly located in the pyrene moiety, while the subsequent excited states S2–4 have contributions coming from the branches. Although thermal fluctuations drive the system away from this idealization, some general trends can be seen in the absorption spectra (Fig. 1(c)). S1 state is well separated from the other low-lying excited states because it corresponds mostly to the contribution coming from the central core. The S2 oscillator strength is the smallest among the first five low-lying excited states because a symmetric superposition of the branches cancels the net transition dipole moment. S3,4 are quasi-degenerate states having similar oscillator strengths coming from the alternating branch contributions, leading to distinct transition dipole orientations. The spatial distributions of the respective electronic transition densities indicating the orientation of their corresponding transition dipole moments (μ) for the five lowest energy electronic states are shown in ESI Fig. S9.†
| VEE (eV) | μ (a.u.) | ||||
|---|---|---|---|---|---|
| x | y | z | Tot. | ||
| S1 | 2.40 | −0.45 | 5.13 | −0.14 | 5.15 |
| S2 | 2.88 | −0.03 | 0.01 | 0.01 | 0.03 |
| S3 | 2.90 | 5.67 | 1.42 | 0.17 | 5.85 |
| S4 | 2.90 | −5.88 | −1.29 | 0.00 | 6.02 |
| S5 | 3.01 | −0.28 | 0.36 | −0.55 | 0.71 |
The photoexcited state population dynamics in T1 is succinctly presented in Fig. 2. Panel (a) illustrates the evolution of populations of electronic states within manifold {I}. The pump pulse centered at Epu = 426 nm (2.91 eV) (see Section IV.A) populates states S3 and S4 that experience ultrafast relaxation to the S2 state on the timescale of ∼100 and ∼20 femtoseconds, respectively (see ESI Fig. S2† for a more detailed description of the short-time dynamics). After the S2 state is populated, it experiences a slower relaxation to the S1 state approaching a picosecond timescale. Throughout the internal conversion process, the dendrimer undergoes ultrafast branches-to-pyrene energy transfer, manifested through discernible changes in the spatial localization of its transition density (see Methods) as visualized in Fig. 2(b). During the first ∼30 fs after photoexcitation, the S2 population reaches its maximum value. Then approximately half of the transition density, which is initially localized in the branches, is transferred to the pyrene, suggesting delocalization of the S2 state between the branches and the pyrene units. The subsequent S2 → S1 transfer further increases the exciton localization in the pyrene trap. The overall internal conversion process, calculated by fitting the raise of the S1 population using a mono-exponential function, yields the lifetime of ∼437 fs. This signifies the effective channeling of the initially harvested light energy towards the core.
As detailed in the Methods section, a more intricate picture of intramolecular energy redistribution can be obtained using the diagonal elements (ρ0α)ii of transition density matrices between excited states, defined in terms of the atomic orbital (AO) basis. These quantities (ρ0α)ii reflect changes of the electronic density on AO i during a transition from the ground state to the excited state α. After applying the normalization condition
, the fraction of the transition density (ρ0α(t))2X localized on each specific X chromophore can be obtained (see the Methods section), being X = pyrene, fluorenes, and carbazoles. Fig. 3 illustrates the fraction of transition density on pyrene (a), fluorene (b), and carbazole (c) in the electronic states Sα of manifold {I} throughout the internal conversion process. The exciton localization on carbazoles, δαcarbazole(t), decreases with the decreasing order in energy of states (Fig. 3(c)). The opposite trend is observed for δαpyrene(t), whose values are larger for the S1 state with respect to other states (Fig. 3(a)). Very low values of δαpyrene(t) are observed for the other states, except S2 that exhibits a broad distribution of this value. This indicates that S2 is the most responsive among the states to conformational distortions introduced at room temperature. Most of states experience their main exciton localization on fluorene units δαfluorene(t), except S1 (Fig. 3(b)). Since the initial pump pulse populates mainly states S3 and S4, the fluorene → pyrene path represents the main exciton redistribution during the internal conversion. A detailed picture of this process is shown in ESI Fig. S3,† where the evolution of the average fraction of the transition densities δαcarbazole(t), δαfluorene(t), and δαpyrene(t) are tracked. The initial excitation is mainly localized in the fluorenes and a minor portion in the carbazole. The fraction in the carbazole is then quickly redistributed yielding a slower fluorene → pyrene transfer to dominate the process.
In order to analyze the inter-branch exciton exchange, we have followed the time-evolution of the spatial localization of the transition density on the different branches (dendrons), δαX(0) (X = A, B, C, D). Once we define the branch A as the branch with the highest initial value of δαX(0), branches B, C, and D can be uniquely labeled as shown in Fig. 4(a). Fig. 4(b) and (c) illustrates that the exciton is initially mainly localized in the branch A (as per definition) with some minor delocalization in the branch B. Following photoexcitation, there is no substantial inter-branch exciton exchange. The initially excited branch A appears to undergo direct relaxation to the pyrene with minor participation of the other branches.
The integral TA-PP signals of the T1 dendrimer simulated with the on-the-fly DW approach (see Methods) are shown in Fig. 5 and 6 for spu = spr and spu⊥spr, respectively. The figures depict the GSB, SE, ESA contributions and the total signal. In the frequency domain, the signals cover a broad energy range, indicating the presence of multiple transitions between manifolds {0} and {I} as well as between {I} and {II}. In the time domain, the signals display underdamped (GSB) and slightly damped (SE, ESA) oscillations, mirroring the wavepacket motion in manifolds {0} and {I}. Qualitatively, similar signals are frequently detected in various polyatomic molecular complexes probed by a broad-band high-resolution TA-PP spectroscopy (see ref. 83 and 84 and references therein).
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Fig. 6 Same as Fig. 5 but for the TA-PP signal for pump and probe pulses with orthogonal polarizations, spu⊥spr. | ||
The GSB signal probes transitions from the ground state S0 to manifold {I} states. In the case of
(Fig. 5), the primary contribution corresponds to Epr ≈ 2.9 eV, representing electronic transitions between the states S0 and S3, S4. In contrast, for the case
, the main contribution corresponds to Epr ≈ 2.5 eV (Fig. 6), which reveals transitions between the S0 and S1 states. This difference can be explained by analyzing Table 1. While μ03 and μ04 are essentially oriented in the direction of the x-axis, μ01 is oriented in the y-axis, i.e., orthogonal to them. In the time domain, the underdamped oscillations unveil the wavepacket motion in the electronic ground state. These oscillations, similarly obtained in the DW simulation of short model dendrimers,27 are indicative of pronounced non-Condon effects. These effects arise from a significant dependence of the transition dipole moments between manifolds {0} and {I} on nuclear configurations.
The SE signal depicts the projection of the nuclear motion in the current excited state onto the ground state. It provides detailed information on the nonadiabatic transitions, offering insights beyond the population dynamics presented in Fig. 2(a). The ultrafast Sn → S2 internal conversion is manifested as a redshift of the SE signal in the frequency domain. Hence the SE spectrum, which is initially localized at Epr ≈ 2.9 eV, shifts to the red in less than 50 fs after the photoexcitation. Further on, the S2 → S1 transition causes depopulation of these contributions from the S2 state, which is located at Epr ≈ 2.8 eV. As such, the signal shifts to Epr ≈ 2.3 eV, revealing the S1 state. After ∼500 fs, the S1 state receives half of the population, and the maximum of the SE intensity corresponds to this state. As previously noted, the intramolecular fluorene → pyrene transfer takes place during the photoinduced dynamics in manifold {I} (see Fig. 3). This process is similarly reflected in the GSB and SE signals. Namely, the initial SE intensity at Epr ≈ 2.8 eV is higher for the
signal than that for the
signal. However, the situation becomes opposite for Epr ≈ 2.3 eV at longer times. Nevertheless, the SE contribution at Epr ≈ 2.8 eV persists for longer times in the
signal compared to the
signal. This arises due to the orthogonal orientations of μ03 and μ04 with respect to μ01.
As evident in Fig. 6, the final
signal is centered at ∼2.3 eV, whereas the GSB signal is centered at ∼2.5 eV. This difference is attributed to the influence of nuclear wavepacket evolution on S1, resulting in a redshift that is also manifested in the steady-state fluorescence spectra.32 This redshift is frequently observed as a result of the excited state dynamics in multichromophoric conjugated molecular systems. It is associated to a specific planarization that enhances the extent of π-conjugation across the chromophore units.85 No oscillations are detected during the S2 → S1 transition, owing to the time-delocalized character of this transfer.
A detailed short-time dynamics of the TA-PP signals are displayed in ESI Fig. S4 and S5† for
and
, respectively. During the first ∼50 fs, the SE signal exhibits oscillations around Epr ≈ 2.8 eV due to the evolution of the molecular system on S2. These oscillations are less pronounced in the GSB signal since the latter depends on the nuclear propagation in the electronic ground state. Hence, these findings emphasize the distinction in nuclear dynamics between the excited and ground states even at short times. This difference is primarily induced by the reorganization energy, representing the displacement of the equilibrium position of the nuclear modes in the excited electronic states relative to the ground state. Owing to the substantial number of (generally anharmonic) nuclear degrees of freedom involved, the oscillations do not exhibit a well-defined period. However, the distance between the first two SE maxima is approximately 15–20 fs, supporting the observation in ref. 27 regarding short dendrimers. ESI Fig. S10† shows the dominant contributions of the non-adiabatic coupling singular value decomposition for transitions from S3/4 to S2. Although the dendrimer high level of flexibility misaligns the non-adiabatic couplings vectors in real space, we can single out some features. The characteristic directions include CC double bonds in the pyrene unit, CC double bonds in the fluorene units, and the CC triple bonds connecting the carbazole and fluorene units, in agreement with the delocalized nature of S2. These vibrational motions are activated when the electronic wavefunction reaches the excited state S2. The corresponding nuclear oscillations are responsible for the pronounced oscillatory behavior of the SE and ESA contributions of the TA-PP during the first 15–20 fs, as shown in Fig. 5 and 6. It is essential to clarify that both the ESA and SE signals reveal the same photoinduced nuclear wavepacket motion in manifold {I}. However, these signals employ different “spectacle states” for delivering this information. While the SE signal monitors the nuclear wavepacket propagating in a current state of manifold {I} projected on the electronic ground state, the ESA signal reflects the projection of the nuclear motion in the current state of manifold {I} to higher-energy excited states of manifold {II}.
The total pump–probe signals
and
are obtained as a sum of the GSB, SE, and ESA contributions. In the frequency domain, the net signals are dominated by ESA at lower Epr and by the GSB+SE at higher Epr. At short times (<100 fs), the high-energy state contributions are more intense in
(Fig. 5 and ESI Fig. S4†) compared to
(Fig. 6 and ESI Fig. S5†). At longer times, the S1 state signatures become more pronounced in
. As explained above, this effect is attributed to the transition dipole moment orientations in the S1 state. Importantly, the Sn → S2 and S2 → S1 transitions clearly visible in the SE signal, are obscured in the total TA-PP signal, because the GSB signal dominates over the SE contribution. However, these transitions can be monitored through the raise and decay of the ESA contributions, which do not interfere with their GSB and SE counterparts in the total signal.
To compare our simulations with the experimental TA-PP measurements reported in ref. 32, Fig. 7 shows (a) the total TA-PP spectrum
; two cuts of this spectrum at t = 0.3 and 1.2 ps evaluated at magic angle between pump- and probe-pulse polarizations, and (c) the corresponding experimental signal at t = 0.3 and 1 ps. The total TA-PP spectrum
is qualitatively similar to its
and
counterparts. We will further concentrate on the cuts of the spectrum shown in panel (b) and their experimental counterparts in panel (c). The experimental TA-PP spectra reveal three negative bands in the region of approximately 420–640 nm (∼1.9–2.9 eV), resulting from the superposition of GSB and SE signals. Additionally, two spectral features around 470 and 580 nm arise from the partial cancellation of the positive ESA and negative GSB+SE contributions. Wavelengths higher than 640 nm are attributed to the ESA signals. The overall shape of the experimental spectra Fig. 7(c) is well reproduced by our simulations Fig. 7(b). Furthermore, our simulations not only recover the major features, such as a pronounced GSB+SE band in the blue part of the spectrum. The calculated TA-PP spectra detail a number of finer features of the experimental signals and faithfully describe their temporal evolution. This includes an increase in the intensity of the hump around 470 nm and a decrease around 580 nm, as well as a notable reduction of the GSB+SE shoulder within the 520–580 nm range over time. However, some discrepancies exist, the most prominent being a slight redshift of the simulated GSB+SE band compared to the experimental results. This can be caused by a number of factors, for example, by immobilization of T1 in the polymer matrix, by non-Gaussian shape of the experimental pump pulses, and by the difference between the experimental and simulated excitation frequencies of the pump pulses. In addition, our simulations slightly overestimate “positiveness” of the peak around 580. However, this is not surprising since this feature is a result of a delicate balance and significant mutual cancellation of the GSB+SE and ESA contributions. In summary, this brief analysis demonstrates the reliability of our theoretical predictions and provides further validation for our methodology in simulating the nonlinear spectroscopic responses of large molecular systems.
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Fig. 7 The total TA-PP signal (a) and two cuts of the signal at t = 0.3 and 1.2 ps, (b) evaluated at the magic angle (54.7°) between polarizations of the pump and probe pulses , and (c) measured experimentally.32 | ||
The conformational flexibility and size of the dendrimer has required substantial modifications and improvements of the previously developed DW methodology.70,71 Namely, we employed sampling of the initial trajectories from the doorway function, and incorporated orientational averaging of the signals into the simulation protocol. These techniques allowed us to simulate and analyze polarization-sensitive TA-PP signals. As the input, our DW protocol requires only electronic energies and transition dipole moments evaluated along (quasi)classical trajectories in the electronic ground state and lower-lying excited states. This renders the present methodology particularly attractive for the on-the-fly simulations of femtosecond responses of large molecular systems. Specifically, the present simulation protocol permits to (i) realistically simulate transient-absorption signals obtained with arbitrary pulse envelops and polarizations; (ii) evaluate anisotropy and any other polarization-sensitive transient absorption signals; (iii) straightforwardly generalize ab initio simulation protocols of all existing nonlinear spectroscopic signals towards the inclusion of realistic pulse envelops and arbitrary pulse polarization vectors; (iv) perform ab initio studies of various schemes of controlling and engineering photophysical processes via optimally tuned laser pulses; (v) dissect simulated spectroscopic signals into specific spectroscopic pathways by adopting the proper polarization schemes. A good agreement with reported experimental pump–probe spectra32 further substantiates the efficacy of the current methodology in simulating the nonlinear spectroscopic responses of large molecular systems. As such, work is in progress on the extension of the TA-PP protocol to electronic two-dimensional (2D) spectra and general four-wave-mixing signals.
Particularly, the NEXMD software package49,50 uses semiempirical Hamiltonian models and minimalistic configurational interactions singles description for electronically excited states. This reduced quantum mechanical description and on-the-fly propagation algorithms allow to model photoexcited dynamics in large conjugated molecules featuring multiple coupled electronic excited states. This code has been previously used for the simulations of different types of dendrimers11,22,24,31,52,53 showing its suitability for the analysis of their photoexcited energy relaxation, redistribution and energy transfer. Benchmarks against more accurate Time-Dependent Density Functional Theory (TD-DFT) calculations and comparisons with experimental spectra in terms of electronic transition energies and oscillator strengths have shown semiquantitative accuracy of the NEXMD package for simulating electronic excitations, excited state dynamics and spectroscopy.49
Within the framework of NEXMD, transition density matrices between excited states are defined in atomic orbital (AO) basis87 as (ρ0α)ij = ϕα|c†icj|ϕ0, with ϕ0 and ϕα being the wavefunctions corresponding to the adiabatic ground and excited states, respectively. c†i and cj are the respective creation and annihilation operators acting over AO labeled with i and j indices. The diagonal elements (ρ0α)ii are relevant to the changes of the electronic density on AO i during a transition from the ground state to the excited state α. Therefore, it is possible to analyze the localization of the excited state wavefunction via the fraction of the transition density on each specific fragment of the dendrimer, obtained as:
![]() | (1) |
The initial conditions for excited state simulations are obtained from 1 ns-long equilibrated ground state molecular dynamics simulation of the dendrimer at room temperature (T = 300 K) using the Langevin thermostat with a friction coefficient γ = 20.0 ps−1. The following nonadiabatic excited state simulations are performed at a constant energy with five hundred (500) individual excited state trajectories propagated. As it has been pointed out in our previous work,89 is a sufficient number of trajectories to achieve a reasonable statistical convergence of the results for similar systems. For each trajectory, the initial (subscript “in”) excited states α are sampled from the positively-defined doorway function,71
| Din(R0, P0, Epu) = ε2pr(Epu − E0α(R0))|μ0α(R0)|2 | (2) |
| εpu(Epu − E0α(R0)) = exp[−2π2σ2(Epu − E0α(R0))2] | (3) |
| S(abcd)int(t, Epr) ∼ 〈D(ab)(R0)(Wint(cd)0(R0(t), P0(t), Epr) + Wint(cd)I(Rα(t), Pα(t), Epr) − Wint(cd)II(Rα(t), Pα(t), Epr))〉, | (4) |
![]() | (5) |
| Wint(cd)0(R0(t), P0(t), Epr) = ε2pr(Epr − E0α(R0(t)))μ(c)0α(R0(t))μ(d)0α(R0(t)) | (6) |
| Wint(cd)I(Rα(t), Pα(t), Epr) = ε2pr(Epr − E0α(Rα(t)))μ(c)0α(Rα(t))μ(d)0α(Rα(t)) | (7) |
| Wint(cd)II(Rα(t), Pα(t), Epr) = ε2pr(Epr − Eαβ(Rα(t)))μ(c)αβ(Rα(t))μ(d)αβ(Rα(t)) | (8) |
After the partial S(abcd)int(t, Epr) have been obtained, the orientationally-averaged TA PP signal can be evaluated as
![]() | (9) |
(so-called magic angle). The corresponding signals are denoted as
,
, and
, respectively (the subscript M stands for magic). Note that
. The dispersed TA-PP spectra can be simulated in a similar manner, by replacing the “integral” window functions Wint(cd)k (k = 0, I, II) by their “dispersed” counterparts defined in ref. 70 and 71.
Footnote |
† Electronic supplementary information (ESI) available: Section S1 presents computational protocol to deduct the orientational averaging pump–probe signal; Section S2 presents the Frenkel Exciton Hamiltonian model; Fig. S1 shows the axis of the body-fixed reference frame used; Fig. S2 presents populations of electronic states at short times; Fig. S3 displays the evolution in time of the average fraction of the transition densities in different chromophores; and Fig. S4 and S5 shows the TA-PP signals at short time using spu = spr and spu⊥spr orientations, respectively; Fig. S6 and S7 displays GSB, SE, ESA at two different delay times for and , respectively; Fig. S8 displays hole–electron pairs calculated for the first 5 excited states; Fig. S9 shows the spatial distributions of electronic transition densities indicating the orientation of their corresponding transition dipole moments (μ) for the five lowest energy electronic states; Fig. S10 presents the bigger contributions of the singular value decomposition for the non-adiabatic couplings corresponding to the transitions from excited states S3/4 to S2. See DOI: https://doi.org/10.1039/d4sc01019a |
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