Literature DB >> 36120020

Estimation of Excited-State Geometries of Benzene and Fluorobenzene through Vibronic Analyses of Absorption Spectra.

Muhammet Erkan Köse1.   

Abstract

The parameters used in theoretical modeling of vibrational patterns within Franck-Condon (FC) approximation can be adjusted to match the vibrationally well-resolved experimental absorption spectrum of molecules. These simulation parameters can then be used to reveal the structural changes occurring between the initial and final states assuming the harmonic oscillator approximation holds for both states. Such a theoretical approach has been applied to benzene and fluorobenzene to disclose the first excited-state geometries of both compounds. The carbon-carbon bond length of benzene in the 1B2u state has been calculated as 1.430 Å, which is in very good agreement with the experimental bond length of 1.432 Å. The FC spectral fit method has been exploited to reveal the 1B2 state of fluorobenzene as well. Commonly employed density functional theory (DFT) and time-dependent DFT methods have been used to calculate the ground- and excited-state geometries of both compounds, respectively. The comparison of geometrical parameters and vibrational frequencies at the relevant states shows that frequently used hybrid functionals perform quite well in the ground state, whereas their performances drop considerably while predicting the excited-state properties. Among the hybrid functionals studied, TD-B3LYP with 6-31+G(d) basis set can be chosen to calculate the excited-state properties of molecules, albeit with much less anticipation of accuracy from the performance that B3LYP usually shows at the ground state.
© 2022 The Author. Published by American Chemical Society.

Entities:  

Year:  2022        PMID: 36120020      PMCID: PMC9476181          DOI: 10.1021/acsomega.2c04615

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

The design of novel materials in optoelectronic applications requires good knowledge of excited-state properties.[1−3] Theoretically speaking, it is a computationally demanding work since electron correlation plays an important role in such studies. From pioneering works of Hückel to semiempirical methods and lately to ab initio methods, a larger amount of electron correlation has been worked out to reveal the properties of the electronically excited states. Configuration interaction (CI) schemes,[4] symmetry-adapted cluster CI,[5] multireference approaches,[6,7] various coupled-cluster (CC) techniques,[8−10] and time-dependent Hartree–Fock approximation[11] have been used in a broad range of problems in chemistry as well as in physics. In CC approximations (CCS, CC2, CCSD, CC3, and so on), the quality of excited-state potential surfaces of molecules has improved substantially toward the full CI limit.[12−14] However, even with today’s computational resources, it is hard to apply such theories for medium- to large-sized molecules as the computational cost increases substantially with molecular size. For instance, the scaling of computational work in the CC series is N4 for CCS, N5 for CC2, N6 for CCSD, N7 for CC3, and so on (where N is the number of orbitals). Density functional theory (DFT) methods have been vastly used in predicting the ground-state geometries of molecules and solids. Lately, time-dependent DFT (TD-DFT) methods have been exploited to reveal the excited-state properties of molecules at the computational price of Hartree–Fock (HF) or time-dependent HF calculations.[15,16] Nonetheless, the accuracy of excited-state geometries predicted by TD-DFT methods is still an active area of research.[17−19] There is a need for the experimental data set for excited-state geometries of molecules for benchmarking efforts. However, excited-state geometries of few molecules are measured experimentally, and such molecules are usually small in size.[20−23] In general, the experimental investigation of structures and potential energy surfaces for excited states is often considerably more challenging than for ground states. Since there is a lack of experimental data on excited-state structures, several computational studies used the results obtained from computationally expensive methods on some molecules for evaluating the performance of various types of TD-DFT methods.[17,20,24] This is, however, inherently problematic as there is no concrete evidence that such molecules possess the structures predicted by selected quantum mechanical methods. Besides, computationally demanding methods cannot be used on medium- to large-sized molecules due to the need for enormous computational power. In our recent study, we have successfully shown that the excited-state geometries of relatively large molecules can be predicted by using Franck–Condon (FC) analysis of optical spectrum (FC spectral fit method) and then performing reverse engineering on the simulation parameters to extract information regarding the structural changes occurring upon photoexcitation.[25] The only requirement for successful application of the FC spectral fit method is the need for availability of the vibrationally well-resolved optical spectrum of the molecule in question. In this regard, excited-state geometric parameters of naphthalene, perylene, and pyrene were successfully predicted due to vastly available experimental data reported on these polyaromatic hydrocarbons.[25] In this work, we focused our attention on benzene and fluorobenzene (Figure ), which are relatively smaller in size and showed that the FC spectral fit method works equally well for small molecules too. The predicted lowest excited-state geometries of both molecules were further used as reference in gauging the performance of commonly employed TD-DFT methods for excited-state geometries. There exist many experimental reports on vibrational frequencies as well as gas-phase UV/visible absorption spectra of these compounds, which make it possible to assess the quality of the calculated results with those of the experiment. All major vibrational FC progressions and their relative intensities have been identified for the normal modes that are involved in the spectra of both compounds. Hot bands are also identified and used to improve the spectral match between the simulated optical line shapes and the experimental ones.
Figure 1

Molecular structure of studied molecules along with atom labeling/numbering of each atom.

Molecular structure of studied molecules along with atom labeling/numbering of each atom.

Computational and Theoretical Methods

Optimized ground-state (excited-state) geometries of benzene and fluorobenzene were obtained by using B3LYP (TD-B3LYP), M06-2X (TD-M06-2X), PBEPBE (TD-PBEPBE), BMK (TD-BMK), wB97XD (TD-wB97XD), CAM-B3LYP (TD-CAM-B3LYP), and HF (CIS) methods, as implemented in the Gaussian 16 software package.[26] All geometry and frequency calculations were performed with the 6-311+G(d,p) basis set unless otherwise noted. Frequency calculations were also performed to reveal the vibrational frequencies and normal modes for all structures with the selected theory and basis set. The absence of imaginary frequencies in the frequency calculations indicated that stable geometries were obtained for all the calculations presented in this work. Scaled vibrational frequencies (0.98 for the B3LYP functional) were used in the estimation of the excited-state geometries in relevant equations.[27] TD-DFT calculations were performed on B3LYP-optimized geometries with the same basis set used in geometry optimizations. The theoretical approach to predict the excited-state geometries of molecules has been given in detail in our previous publication.[25] Therefore, only major steps are presented in this study. The following equation has been used to simulate the absorption line shapes within FC approximationIn the above equation, f is the oscillator strength of relevant transition, γ is the linewidth of absorption lines which accounts for inhomogeneous broadening effects, S is the dimensionless Huang–Rhys factor for the mode j with frequency νj, N is the number of vibrational modes with significant Huang–Rhys factors, n is the range of summation (0–5 for benzene, 0–3 for fluorobenzene), νif is the electronic origin (0–0 peak location), and ν is the wavenumber (cm–1). Huang–Rhys factor, S, for mode j is evaluated as follows[28,29]where ℏ is the reduced Planck’s constant and c is the speed of light in the above equation. In order to calculate Huang–Rhys factor for each vibrational mode, Δ must be calculated, which reflects the geometrical change between the ground-state and excited-state geometries.[28,30,31]Here, g is the 3 N vector of the normal coordinates of the vibrational modes in the ground state, is the 3 N × 3 N diagonal matrix of atomic masses, e and g are the 3 N dimensional vectors of Cartesian coordinates in the excited and ground states, respectively. After rearranging eq , e can be expressed as[25]where is It is important to note that –1 must be evaluated using the singular value decomposition technique as outlined in ref (25). The Duschinsky matrix () for fluorobenzene is obtained by multiplying matrices gT and e composed of a1 modes, which play major role in geometrical change in between the ground and the excited states.[30] The major step in applying the FC spectral fit method is finding the Huang–Rhys factors and the associated frequencies that can best reproduce the experimental spectrum. In order to achieve this task, one needs to vary S of vibrational frequency ν in eq and simulate the whole spectrum until a close match is obtained between the simulated line shapes and the experimental absorption intensities ( must be minimized). Once S values are empirically determined, the absolute values of ΔQ can be calculated with eq , and then, the Cartesian coordinates of the excited state, e, can be found by using eq . The normal modes calculated with quantum mechanical methods (in this case, the B3LYP/6-311+G(d,p) method) must be used in eq . During the survey of best spectral fit, it might be best if experimental ν is used for successful reproduction of the experimental spectrum. If experimental ν values are not known, then, the scaled frequencies obtained from the quantum mechanical method can be used. Within this context, the vibrational frequencies calculated with B3LYP or M06-2X[25] should provide accurate enough frequency data that can be used in the simulation code. If the molecule is relatively large (that is, the vibrational frequencies do not change considerably between the ground-state and excited-state manifold), then the use of calculated ν for ground state should be sufficient for simulation efforts. On the other hand, for small molecules, the vibrational frequencies calculated at the excited state of interest should be utilized for simulation of the absorption spectrum. Both benzene and fluorobenzene have been widely studied in the literature;[32−39] therefore, the reported experimental excited-state frequencies have been used in the simulations as detailed below.

Results and Discussion

Ground-State Geometric Properties

Ground-state geometries of benzene (1A1g) and fluorobenzene (1A1) were determined at various DFT levels as well as through the HF method. The reported literature studies including CAS (complete active space self-consistent field), CASPT2 (complete active space perturbation theory through second-order), and CCSD (coupled-clusters-singles-doubles) were also compared with the experimental bond lengths of benzene as given in Table . For benzene, the ground-state geometry has D6h symmetry, whereas fluorobenzene adopts C2V symmetry. Computationally demanding methods such as CAS, CASPT2, and CCSD yield very similar bond lengths to those observed in experimental studies for the ground state of benzene. CASPT2, however, stands out as the best performing method for structural parameters, displaying very good agreement with the experimental RCC and RCH bond lengths of benzene.
Table 1

Experimental and Calculated Bond Distances (Å) of Ground and Excited States (1B2u) of Benzene

  RCCRCH
S0Exp.a1.3971.082
 CAS(6,6)b1.3981.076
 CASPT2c1.3961.081
 CCSDd1.3921.079
 HFe1.3861.076
 B3LYPe1.3951.084
 M06-2Xe1.3921.084
 PBEPBEe1.4011.093
 BMKe1.3971.086
 wB97XDe1.3921.084
 CAM-B3LYPe1.3891.084

Reference (40).

Reference (41) and the references cited therein.

Reference (38) and the references cited therein.

Reference (38) with the TZ2P basis set.

This work with the 6-311+G(d,p) basis set.

Reference (36).

Reference (40). Reference (41) and the references cited therein. Reference (38) and the references cited therein. Reference (38) with the TZ2P basis set. This work with the 6-311+G(d,p) basis set. Reference (36). Among DFT methods, B3LYP shows rather good performance for both benzene (Table ) and fluorobenzene (Table ), whereas the HF method underestimates C–C and C–H bond lengths considerably in both compounds. Range-corrected CAM-B3LYP slightly underestimates bond lengths for both molecules. The BMK optimized geometry of benzene has an RCC of 1.397 Å, which is in perfect agreement with the experiment. However, the same functional shows rather poor performance in predicting the ground-state geometrical parameters of fluorobenzene. Apart from comparison of optimized geometric parameters, the close correlation of the calculated vibrational frequencies with those of the experiment suggests how well a particular method reflects the potential energy surface in the ground state. This is rather important because the normal modes of ground-state geometries will be used in prediction of excited-state geometries as a final state. Therefore, the correlation between the experimental and calculated frequencies has been used to judge the quality of a specific method in representing the ground-state manifold of studied molecules. For instance, the coefficient of determination (R2) between experimental ground-state frequencies and calculated frequencies with the B3LYP functional (Table ) is 0.9999, suggesting a very good representation of ground-state properties in the ground state for benzene for the aforementioned hybrid functional. The R2 values for other methods are 0.9988 for HF, 0.9998 for M06-2X, 0.9997 for PBEPBE, 0.9996 for BMK, 0.9998 for wB97XD, and 0.9998 for CAM-B3LYP optimized geometries for benzene. The same R2 values from linear fit for fluorobenzene (Table ) are 0.9998 for B3LYP, 0.9998 for M06-2X, 0.9995 for PBEPBE, 0.9998 for BMK, 0.9998 for wB97XD, 0.9998 for CAM-B3LYP, and 0.9995 for HF. Thus, the normal modes obtained through frequency calculation with the B3LYP functional have been chosen for subsequent use in vibronic spectrum simulation due to close estimation of structural parameters as well as good representation of the potential energy surface in the ground state of both molecules.
Table 2

Experimental and Calculated Bond Distances (Å) of Ground and Excited States (1B2) of Fluorobenzene

 MethodR (Å) C1F7R (Å) C1C2R (Å) C2C3R (Å) C3C4R (Å) C2H8R (Å) C3H9R (Å) C4H10A (deg) F7C1C2A (deg) C6C1C2A (deg) C1C2C3A (deg) C2C3C4A (deg) C3C4C5MAE (mÅ)
S0
 Exp.a1.3551.3821.3951.3951.0771.0781.077118.5123.1118.1120.5119.8 
 B3LYP1.3571.3861.3941.3951.0831.0841.083118.7122.6118.3120.5119.83.6
 M06-2X1.3451.3831.3911.3921.0831.0831.083118.7122.6118.3120.4119.95.0
 PBEPBE1.3631.3931.4001.4001.0911.0921.092118.7122.5118.3120.5119.810.3
 BMK1.3411.3891.3971.3971.0841.0851.085118.7122.6118.3120.5119.87.1
 wB97XD1.3471.3831.3901.3911.0831.0841.084118.8122.5118.4120.5119.87.4
 CAM-B3LYP1.3511.3801.3891.3891.0821.0831.083118.7122.7118.3120.4119.64.9
 HF1.3281.3771.3861.3861.0741.0751.074118.8122.4118.4120.5119.78.4
S1
 TD-B3LYP1.3421.4161.4241.4241.0811.0811.083117.6124.8117.2119.4122.03.0
 TD-M06-2X1.3301.4131.4191.4221.0801.0811.083117.5125.0117.1119.3122.15.4
 TD-PBEPBE1.3531.4221.4321.4291.0891.0901.092117.4125.2117.0119.4122.27.3
 TD-BMK1.3261.4201.4271.4291.0821.0831.085117.5124.9117.2119.3122.15.7
 TD-wB97XD1.3311.4131.4191.4211.0811.0811.084117.6124.7117.3119.4122.05.0
 TD-CAM-B3LYP1.3341.4101.4171.4191.0801.0801.083117.6124.9117.2119.4122.05.3
 CIS1.3131.4061.4101.4161.0721.0721.074117.9124.2117.6119.5121.513.3
 predicted by FC spectral fit1.347 (±0.002)1.408 (±0.002)1.425 (±0.001)1.426 (±0.002)1.083 (±0.001)1.083 (±0.001)1.084 (±0.001)117.9124.1117.8119.4121.5 

Reference (42).

Table 3

Vibrational Frequencies (cm–1) of the Ground and Excited States of Benzene

  S0
S1
modesSym.Exp.aB3LYPbBMKExp.aTD-B3LYPTD-BMK
1a1g9931010 (990)1008923954955
2a1g30743191 (3127)3208309332163219
3a2g13501380 (1352)1392132713621364
4b2g707719 (705)726365329304
5b2g9901019 (999)1048745792811
6e2g608622 (610)624521530525
7e2g30573165 (3102)3183307731893192
8e2g16001632 (1599)1638151615631574
9e2g11781197 (1173)1208114811771182
10e1g847866 (849)897581598612
11a2u674691 (677)722515555569
12b1u10101022 (1002)1023 10011000
13b1u30573155 (3092)3174 31853188
14b2u13101334 (1307)1309157014641518
15b2u11491174 (1151)1176115011741179
16e2u399412 (404)414238237249
17e2u967989 (969)1019717754780
18e1u10381058 (1037)1060920966975
19e1u14841509 (1479)1518140514431452
20e1u30653181 (3117)3198308432053208

Reference (41) and the references cited therein.

Values in parentheses are scaled by 0.98.

Table 4

Vibrational Frequencies (cm–1) of the Ground and Excited States of Fluorobenzene

  S0
S1
modesSym.Exp.aB3LYPbExp.cTD-B3LYP
1a130943203 (3139) 3230
2a130803191 (3127) 3213
3a130613170 (3107) 3186
4a116051633 (1600) 1559
5a115001522 (1492) 1447
6a112381234 (1209)12301237
7a111561174 (1151) 1149
8a110231038 (1017)917987
9a110091017 (997)969959
10a1809818 (802)765793
11a1517524 (514)460472
12a2957975 (956)643635
13a2818830 (813)509494
14a2414422 (414)206168
15b1978994 (974)755802
16b1895909 (891)661679
17b1754766 (751)555590
18b1687688 (674)451475
19b1498507 (497)331319
20b1233c236 (231)167174
21b2 3201 (3137) 3226
22b230693179 (3115) 3206
23b216051642 (1609) 1460
24b214601485 (1455) 1420
25b213011344 (1317)15891523
26b2 1324 (1298) 1300
27b211281179 (1155) 1170
28b210661089 (1067)9551011
29b2614627 (614)518526
30b2400404 (396)388392

Reference (43).

Values in parentheses are scaled by 0.98.

Reference (33).

Reference (42). Reference (41) and the references cited therein. Values in parentheses are scaled by 0.98. Reference (43). Values in parentheses are scaled by 0.98. Reference (33).

Vibronic Spectrum Simulation

The first excited state of benzene (1A1g → 1B2u transition) is symmetry-forbidden.[32,34] However, such transition can still be observed due to Herzberg–Teller coupling, albeit with very low intensities.[41] The intensity borrowing from the allowed transitions (1A1g → 1E1u and 1B2u → 1E2g transitions) has been well studied in the literature.[38,44] Depending on the orientation of benzene relative to the electric polarization vector, the symmetry of the dipole moment matrix element can be either e1u or a2u. The first term of the electronic transition is forbidden by symmetry; however, some higher-order terms can lead to allowed transitions when the symmetry of the modes combines as b2u⊗e1u⊗a1g = e2g or b2u⊗a2u⊗a1g = b1g. Since there is no vibrational mode in benzene with b1g symmetry, the in-plane e2g modes will induce intensity in the absorption spectrum for the lowest excited state of benzene. The inducing modes for the allowed transition for the first excited state in the D6h symmetry belong to doubly degenerate e2g irreducible representation. These modes are ν6, ν7, ν8, and ν9, as listed in Table . The band origin (0–0 peak) cannot be observed due to one-photon forbidden symmetry of 1A1g → 1B2u transition. However, as mentioned above, the inducing modes should appear in the spectrum and can be seen as false origins since they do not originate from 0 to 0 transition. All of the peaks in the absorption spectrum of benzene should contain the vibrational modes of e2g symmetry and their combinations with other modes. After analyzing the experimental absorption spectrum[45] of benzene for the 1B2u state (Figure , black line), it is clear that the major progression in the spectrum has originated from ν6 (squashing mode). There are selection rules that need to be followed when building up the vibronic progressions of 1A1g → 1B2u transition.[41] For the e2g inducing modes, Δν should be equal to ±1. For totally symmetric a1g and a2g modes, Δν should be equal to 0, ±1, ±2, ±3,..., whereas all the other modes have a selection rule that satisfies the condition Δν = 0, ±2, ±4, ±6,.... When T > 0, some low frequency modes can be populated and therefore hot bands will be observed in the experimental spectrum. Primary modes with appreciable intensities that would lead to hot bands are e2u (399 cm–1 in the ground state and 238 cm–1 in the excited state) and a2u (674 cm–1 in the ground state and 515 cm–1 in the excited state) modes. Other modes and transitions are excluded from the simulation to save computational time. Besides, the purpose of this study is to reveal the geometry change between the ground state and the excited state for which only totally symmetric modes matter at this stage.
Figure 2

Simulated (red) and experimental (black, adapted with permission from ref (46), Copyright 2013 Creative Commons Attribution 4.0 License) absorption spectrum (1A1g → 1B2u transition) of benzene (top panel). Lower panels show the expanded areas of the simulated spectra with green asterisk for possible Fermi resonance splitting. The simulated spectrum has been obtained through the FC spectral fit method as detailed in the Computational and Theoretical Methods section.

Simulated (red) and experimental (black, adapted with permission from ref (46), Copyright 2013 Creative Commons Attribution 4.0 License) absorption spectrum (1A1g → 1B2u transition) of benzene (top panel). Lower panels show the expanded areas of the simulated spectra with green asterisk for possible Fermi resonance splitting. The simulated spectrum has been obtained through the FC spectral fit method as detailed in the Computational and Theoretical Methods section. The convention for showing the vibrational progressions is as follows: a mode is represented by its number and the number of vibrational excitation in the lower or upper state as a subscript or a superscript, respectively. All the major identified modes are listed in Table , and the computed spectrum is given in Figure (red line). The simulated spectrum consists of major peaks and can be seen as combination of fundamentals, overtones, combinations, and hot bands of major peaks. The formula given in eq can be used for the allowed one-photon absorption spectrum. Since the first excited state of benzene is formally forbidden and is observed only through inducing modes, each vibrational progression is simulated separately and then summed up to obtain the total simulated spectrum. 601 progression has the highest contribution to the overall spectrum; therefore, the highest peak in that progression is normalized to 1. The other progressions were scaled (612 with 0.14, 610 with 0.07, 621 with 0.01, 901 with 0.05, and 701 with 0.08) to match the experimental intensities after the simulation of each progression separately. As emphasized above, the progression 601 has been found to carry most of the vibrational progression between the ground state and the excited state, as also reported by other researchers.[38,41]Table compiles the experimental relative intensities of vibrational modes and their corresponding assignments based on the simulated spectrum. As discussed in the Computational and Theoretical Methods section, the experimental frequencies have been used in the simulation of the spectrum in order to precisely unveil the major modes and their relative intensities.
Table 5

Assigned Experimental Frequencies (cm–1) and Relative Intensities of the Main Vibronic Bands of the 1A1g → 1B2u Transition in Benzene

frequency (cm–1)relative intensityassignmentfrequency (cm–1)relative intensityassignment
37,3340.014610161139,2280.0316011011622
37,4060.00862139,2490.031901
37,4950.05161039,2530.036621102
37,6300.01160111039,3430.069610102
38,1030.0000–039,388a0.1676011011611
38,2170.015612162239,4580.119612101
38,2590.025610101161139,5481.000601101
38,2820.04260141139,5740.0576011604
38,3030.020601162239,6520.0366011102
38,3050.025601112240,0240.0326011011602
38,3300.02062110140,1470.0396011021622
38,3780.024612161140,1730.045901101
38,4200.08261010140,2630.043610103
38,4600.178601161140,3120.0936011021611
38,4650.150601111140,3790.060612102
38,5360.11461240,4700.639601102
38,6240.84560140,5040.0516011011604
39,0510.027612160240,5730.0346011011102
39,1010.032601160241,1790.062701
39,1830.021610102161141,3910.272601103

Possible Fermi resonance splitting due to combination bands involving 1611 and 1111.

Possible Fermi resonance splitting due to combination bands involving 1611 and 1111. In the simulated spectrum, 621 progression has the 10 (n = 0–2) sequence; 610 progression has 10 (n = 0–3) and 16 (n = 0–1) sequences and their combinations; 612 progression has 10 (n = 0–3), 16 (n = 0–1), and 1602 (n = 0–1) sequences and their combinations; 601 progression has 10 (n = 0–4), 16 (n = 0–2), 1602 (n = 0–2), 11 (n = 0–1), 1102 (n = 0–1) sequences and their combinations; 901 progression has the 10 (n = 0–1) sequence; and 701 progression has the 10 (n = 0–1) sequence. There are very low intensity sequences that could be used to improve the results; however, they are neglected and are not of interest for the present purposes of this work. The lower panels in Figure nicely illustrate that all major peaks have been reproduced and identified in the gas phase experimental absorption spectrum of benzene. However, possible Fermi resonance splitting has been observed at ∼39,385 cm–1, most probably due to mixing of combination bands involving 1611 and 1111 and hence causing some mismatches at relative positions of some low intensity peaks between the simulated and the experimental spectrum. The experimental spectrum in Figure is adopted from ref (46). The γ value for line broadening was selected as 2 cm–1 for simulated absorption line shapes. Due to the symmetry of the benzene molecule, the transition dipole moment vanishes as expected, and the 0–0 peak is not observed. The main peaks in the spectrum are from the progression involving the totally symmetric mode ν1, whose Huang–Rhys factor is 1.27 and induced by the promoting mode ν6. We have not found any peak that would fit to totally symmetric mode ν2 (C–H stretching modes), induced by promoting mode ν6. The experimental data is not available beyond ∼41,800 cm–1. Therefore, such a search for other inducing modes (ν7, ν8, and ν9) was not possible for totally symmetric mode ν2. However, it is clear that other inducing modes contribute quite less to the overall intensity of absorption line shapes for the totally symmetric mode ν1 (see relative intensities listed in Table ). Thus, Huang–Rhys factor for mode ν2 is assumed to be zero, in accordance with a very small Huang–Rhys factor of 0.0090 obtained with the use of a quantum mechanically optimized ground and excited-state geometries of benzene.[41] As a result, Huang–Rhys factor with a value of 1.27 (for totally symmetric mode ν1) predicted from FC spectral fit is used only in eq to reveal the 1B2u excited-state geometry of benzene. The differences in between the bond lengths upon going from the ground state to the excited state are calculated as 0.0333 Å for RCC and 0.0028 Å for RCH. Callomon et al. estimated 0.038 Å increase for RCC upon photoexcitation based on analysis of rotational constants,[44] in close alignment with the prediction presented in this study. If the experimental ground-state equilibrium geometry (Table ) of benzene is used as the reference structure (g),[40] then the predicted 1B2u state RCC and RCH bond lengths from the FC spectral fit method are found to be 1.430 and 1.085 Å, respectively. These numbers are very close to the experimental bond lengths of 1.432 Å (±1 mÅ) and 1.084 Å (±1 mÅ) in the excited state.[36] Therefore, one can argue that the excited-state geometric parameters obtained through the FC spectral fit method are quite reliable for benzene, as also verified in a previous study for prediction of excited-state geometries of larger polyaromatic hydrocarbons.[25] Fluorobenzene is the prototypical benzene derivative. Fluorobenzene is arguably least likely to deviate substantially from benzene in its vibrational behavior and its response to photoexcitation. However, the presence of fluorine has profound consequences for the spectroscopic properties of fluorobenzene through the resultant lowering of symmetry and the effect of lowering symmetry on the optical selection rules. Fluorobenzene belongs to the C2V point group, and the lowest excited state (1A1 → 1B2 transition) is not symmetry forbidden as opposed to benzene (the corresponding transition is 1A1g → 1B2u).[47] Nonetheless, the calculated oscillator strength of 1A1 → 1B2 transition is rather small (f = 0.0132), in accordance with the experimental observations.[48] However, eq can still be used in optical spectrum simulation due to one-photon allowed nature of photoexcitation for the relevant state. The normal modes of fluorobenzene are divided into four irreducible representations, comprising 11 a1 modes, 10 b2 modes, 6 b1 modes, and 3 a2 modes. The a1 and b2 modes are in-plane vibrations, and only a1 modes take part in 1A1 → 1B2 electronic transition, which is under investigation here. A majority of the 30 fundamental frequencies of fluorobenzene both in the ground and lowest excited state (1B2 state) have been successfully assigned in several literature studies.[33,39,43,48] The experimental absorption spectrum of fluorobenzene has been taken from elsewhere.[48] In order to match the experimental spectrum, ν is chosen as 37,820 cm–1 in the simulated spectrum. At the outset, the simulation was run for the involved a1 modes without inclusion of hot bands. However, the mismatch between the simulated line shapes and experimental ones required the usage of hot bands that are clearly present in the experimental spectrum. The vibrational frequencies and the empirically determined Huang–Rhys factors used in the simulated spectrum are ν11 (460 cm–1, S11 = 0.02), ν10 (765 cm–1, S10 = 0.34), ν8 (917 cm–1, S8 = 0.31), ν9 (969 cm–1, S9 = 0.38), ν6 (1230 cm–1, S6 = 0.11), and ν5 (1430 cm–1, S5 = 0.03). Note that the experimental S1 frequency of mode ν5 has not been reported before but found to be around 1430 cm–1 after varying the simulation parameters that could give the best match to the experimental spectrum. The hot bands used in the simulation code had frequencies entered as −66 cm–1 (ν20: from 233 cm–1 in S0 to 167 cm–1 in S1) with an S = 0.41 and −208 cm–1 (ν14: from 414 cm–1 in S0 to 206 cm–1 in S1), with an S = 0.17 and −309 cm–1 (ν13: from 818 cm–1 in S0 to 509 cm–1 in S1), and with an S = 0.05. It is important to mention that while Huang–Rhys factors for a1 modes can be considered to be a reflection of the magnitudes of vibronic coupling integrals for the associated modes between the initial and the final states, the same cannot be said for S values used for hot bands. This is because empirically determined Huang–Rhys factors for hot bands also incorporate the effects of thermal population of the relevant vibrational modes at T > 0. Therefore, the relative magnitudes of Huang–Rhys factors used in the simulation of hot bands should be interpreted with caution. It is also possible that there are more hot bands that have not been accounted for within the simulation parameters. Since the involved a1 modes are later on utilized to extract the excited-state geometry parameters, the majority of focus is therefore conveyed to the proper determination of Huang–Rhys factors of those modes in the vibronically resolved simulation of the fluorobenzene absorption spectrum. The simulated spectrum of fluorobenzene is strikingly similar to the experimental one (Figure ). Indeed, all major vibronic line shapes have been successfully reproduced with the chosen Huang–Rhys factors for the relevant modes. The slight intensity mismatch at higher wavenumbers can be associated to the relative crudeness of the employed method, as also has been observed in the simulated spectra of larger polyaromatic hydrocarbons.[25]
Figure 3

Simulated (red) and experimental[48] (black, adapted with permission from ref (48), Copyright 2016 AIP Publishing License) absorption spectrum (1A1 → 1B2 transition) of fluorobenzene. The simulated peaks are broadened with γ = 35 cm–1 to match the experimental line shapes. The simulated spectrum has been obtained through the FC spectral fit method as detailed in the Computational and Theoretical Methods section.

Simulated (red) and experimental[48] (black, adapted with permission from ref (48), Copyright 2016 AIP Publishing License) absorption spectrum (1A1 → 1B2 transition) of fluorobenzene. The simulated peaks are broadened with γ = 35 cm–1 to match the experimental line shapes. The simulated spectrum has been obtained through the FC spectral fit method as detailed in the Computational and Theoretical Methods section. The empirically determined Huang–Rhys factors have been used in eq to estimate |ΔQ| for the associated modes calculated with the B3LYP/6-311+G(d,p) method. The sign of ΔQ is a major concern since knowing S beforehand only helps in the determination of the absolute value of ΔQ.[25] Therefore, a survey of possible geometries, which resemble most the quantum mechanically calculated geometries, has been conducted and the signs of ΔQ11, ΔQ10, ΔQ8, ΔQ9, ΔQ6, and ΔQ5 are determined as +, +, +, – , +, and −, respectively. By inserting the estimated ΔQ in matrix form into eq , the excited-state geometry of fluorobenzene at the 1B2 state has been successfully predicted, and the relevant geometrical parameters are listed in Table . The maximum error for bond lengths is found to be at most 2 mÅ assuming that there exists an error range of ±0.02 for empirically determined S values. The use of eq requires that Duschinsky mixing is negligible between the ground-state and the excited-state normal modes.[30] The gT matrix, composed of a1 modes, was acquired from the frequency calculations performed on B3LYP optimized ground-state geometry. Similarly, the e matrix, composed of a1 modes for excited-state geometry predicted through the FC spectral fit method, was generated from the frequency calculations with the TD-B3LYP method. It is clear that Duschinsky mixing (Figure ) can be neglected for fluorobenzene due to insignificant mixing between the normal modes, and thus, the use of eq is further confirmed with this result.
Figure 4

Graphical representation of the Duschinsky matrix for the 1A1 → 1B2 transition of fluorobenzene for a1 modes with increasing frequencies (i.e., mode number 1 in the graph has the lowest vibrational frequency and mode number 11 has the highest vibrational frequency (see Table )). A shade of gray is associated with each element (i,j) in the figure based on the equivalence (0, white; 1, black).

Graphical representation of the Duschinsky matrix for the 1A1 → 1B2 transition of fluorobenzene for a1 modes with increasing frequencies (i.e., mode number 1 in the graph has the lowest vibrational frequency and mode number 11 has the highest vibrational frequency (see Table )). A shade of gray is associated with each element (i,j) in the figure based on the equivalence (0, white; 1, black).

Performance of DFT Methods for Excited-State Geometries

The experimental excited-state (1B2u) geometry of benzene has been reported before[36] and in very good agreement with the geometry predicted by using the FC spectral fit method. As far as we know, the experimental 1B2 state excited-state geometry of fluorobenzene has not been reported in the literature; therefore, the excited-state geometry predicted by the FC spectral fit method has been used as a reference for evaluation of performance of computational methods for excited states. Cvitaš et al. predicted that C–F bond decreases by either 0.009 Å or 0.028 Å, upon fitting rotational constant data with different methods.[35] The geometry predicted by the FC spectral fit method shows that the C–F bond length decreases by 0.008 Å (see Table ), in very good agreement with the change for the experimentally reported C–F bond length. It is clear that the bond lengths calculated with the CIS method are too short for benzene, whereas CASPT2 again provides accurate excited-state geometrical parameters among the ab initio methods (Table ). TD-BMK also performs well in predicting the RCC bond length of benzene in the excited state. TD-B3LYP is the second best performing method in predicting the structural parameters of benzene at the 1B2u state. Nonetheless, the R2 value for correlation of TD-BMK frequencies with the experimental frequencies is 0.9985, while the same number is 0.9981 for frequencies calculated at the TD-B3LYP level. Other functionals also possess similar or worse R2 values, suggesting that the excited-state potential energy surface predicted by TD-DFT methods are not as good as those calculated in the ground state. Specifically speaking, the mode ν14 (1570 cm–1) with b2u symmetry deviates considerably from the calculated frequencies with TD-DFT methods. The origin of this deviation is not clear but the vibrational frequencies calculated with CC2 and CCSD methods appear to be more accurate (after scaling), as shown in the literature.[32] The mean absolute errors (MAEs) for bond length differences in fluorobenzene are given in the last column of Table for all functionals. The MAE for TD-BMK for excited-state geometry of fluorobenzene is 5.7 mÅ, and its performance exceeded by TD-B3LYP with an MAE of just 3.0 mÅ. CIS gives the worst performance and should be avoided in the calculation of excited-state geometries. On the other hand, for excited-state geometry of fluorobenzene almost all methods provides comparatively less reliable C–C and C–F bond lengths. That is, especially the accuracies of DFT methods for excited-state geometries are not very good, considering the wide variation and deviation of bond length data with the reference values. This observation is also validated by examining R2 values (0.9931 for TD-B3LYP, 0.9906 for TD-M06-2X, 0.9909 for PBEPBE, 0.9915 for BMK, 0.9936 for wB97XD, 0.9935 for CAM-B3LYP, and 0.9928 for CIS) calculated for correlation of the calculated excited-state frequencies with those of the experiment. As a result, one can conclude that the performances of TD-DFT methods for excited states are not particularly impressive, and yet, TD-B3LYP could serve better than other methods for such calculations. One might argue that the effect of basis set sizes should be analyzed before reaching a definite conclusion. Tables and 7 show the influence of various basis sets on structural parameters calculated with TD-B3LYP for benzene and fluorobenzene, respectively. The effect of basis set sizes on the calculated results is relatively small with decent size basis sets for both ground and excited states. Nevertheless, the TD-B3LYP method with 6-31+G(d,p) method appears to yield the lowest MAE values for both compounds in the excited state and can be promoted to be used in the calculation of excited-state geometries molecules or at least structurally similar polyaromatic hydrocarbons.
Table 6

Calculated Bond Distances of Ground and Excited State (1B2u) Structures of Benzene with the B3LYP Hybrid Functional along with Various Basis Sets

  RCCRCH
S0Exp.a1.3971.082
 6-31G(d)1.3971.087
 6-31+G(d)1.3991.087
 6-31G(d,p)1.3961.086
 6-31+G(d,p)1.3981.086
 6-311G1.3981.082
 6-311G(d,p)1.3941.084
 6-311+G(d,p)1.3951.085
 6-311+G(3df,2p)1.3911.082
 TZVP1.3921.084
 cc-PVTZ1.3911.082
 aug-cc-PVTZ1.3911.082

Reference (40).

Reference (36).

Table 7

Calculated Bond Distances and Angles of Ground- and Excited-State (1B2) Structures of Fluorobenzene with the B3LYP Hybrid Functional along with Various Basis Sets

 methodR (Å) C1F7R (Å) C1C2R (Å) C2C3R (Å) C3C4R (Å) C2H8R (Å) C3H9R (Å) C4H10A (deg) F7C1C2A (deg) C6C1C2A (deg) C1C2C3A (deg) C2C3C4A (deg) C3C4C5MAE (mÅ)
S0
 Exp.a1.3551.3821.3951.3951.0771.0781.077118.5123.1118.1120.5119.8 
 6-31G(d)1.3521.3901.3961.3971.0851.0871.086118.8122.3118.5120.4119.85.7
 6-31+G(d)1.3611.3901.3981.3991.0861.0871.086118.6122.7118.2120.5119.96.9
 6-31G(d,p)1.3511.3901.3961.3971.0851.0861.086118.8122.3118.5120.5119.85.7
 6-31+G(d,p)1.3611.3901.3981.3981.0851.0861.086118.6122.7118.2120.5119.96.4
 6-311G1.4031.3871.3981.3991.0801.0811.081118.5123.1118.1120.3120.010.0
 6-311G(d,p)1.3531.3871.3931.3941.0831.0841.083118.9122.3118.5120.4119.84.0
 6-311+G(d,p)1.3571.3861.3941.3951.0831.0841.083118.7122.6118.3120.5119.83.6
 6-311+G(3df,2p)1.3511.3831.3911.3911.0811.0821.081118.7122.6118.3120.6119.73.6
 TZVP1.3551.3841.3921.3921.0821.0831.082118.7122.5118.4120.4119.93.3
 cc-PVTZ1.3511.3841.3901.3911.0811.0821.081118.8122.4118.4120.4119.83.9
 aug-cc-PVTZ1.3531.3831.3911.3911.0801.0811.081118.7122.5118.4120.4119.93.0
S1
 6-31G(d)1.3421.4191.4281.4261.0831.0841.086117.7124.7117.3119.4122.03.1
 6-31+G(d)1.3471.4191.4271.4281.0831.0841.086117.6124.9117.2119.4122.02.6
 6-31G(d,p)1.3421.4191.4271.4261.0821.0831.085117.7124.7117.3119.4122.02.9
 6-31+G(d,p)1.3471.4191.4271.4281.0831.0831.085117.5124.9117.1119.4122.02.3
 6-311G1.3931.4141.4311.4301.0781.0791.081117.5125.0117.1119.5121.710.6
 6-311G(d,p)1.3421.4161.4251.4241.0801.0811.083117.7124.7117.3119.4122.03.0
 6-311+G(d,p)1.3421.4161.4241.4241.0811.0811.083117.6124.8117.2119.4122.03.0
 6-311+G(3df,2p)1.3351.4131.4201.4201.0781.0791.081117.6124.9117.1119.4122.05.7
 TZVP1.3411.4141.4221.4221.0791.0801.082117.6124.8117.2119.4122.04.0
 cc-PVTZ1.3381.4131.4211.4201.0781.0791.081117.6124.8117.2119.3122.15.1
 aug-cc-PVTZ1.3381.4131.4201.4201.0781.0791.081117.6124.8117.2119.3122.15.3
 predicted by FC spectral fit1.347 (±0.002)1.408 (±0.002)1.425 (±0.001)1.426 (±0.002)1.083 (±0.001)1.083 (±0.001)1.084 (±0.001)117.9124.1117.8119.4121.5 

Reference (42).

Reference (40). Reference (36). Reference (42).

Conclusions

In summary, the spectral empirical fitting approach with the use of FC approximation is an effective method to extract information regarding the excited-state geometries of molecules as long as well-resolved optical spectra are available to use for the relevant state. For both benzene and fluorobenzene, the optical spectra for the lowest excited states were simulated, and all major vibronic lines and hot bands were successfully reproduced. The Huang–Rhys factors used in the spectral simulation were exploited to predict the excited-state geometries, and an almost perfect agreement was achieved with the results obtained with the FC spectral fit method and the reported experimental results. The comparison of excited-state geometries calculated with commonly used DFT functionals with those predicted with the FC spectral fit method showed that TD-B3LYP performs better than other hybrid functionals. Nonetheless, the accuracies of excited-state geometries predicted by TD-DFT are not superior to their performances in the ground state. This has been shown by not only the assessment of geometrical parameters with experiment but also by comparison of vibrational frequencies for the relevant excited states with the experimental findings. It is clear that potential energy surfaces predicted by DFT methods at the excited state are not as good as their ground-state counterparts, with B3LYP being no exception to this observation.
  23 in total

1.  Consistent assignment of the vibrations of monosubstituted benzenes.

Authors:  Adrian M Gardner; Timothy G Wright
Journal:  J Chem Phys       Date:  2011-09-21       Impact factor: 3.488

2.  Benchmarking Time-Dependent Density Functional Theory for Excited State Geometries of Organic Molecules in Gas-Phase and in Solution.

Authors:  Ciro A Guido; Stefan Knecht; Jacob Kongsted; Benedetta Mennucci
Journal:  J Chem Theory Comput       Date:  2013-04-05       Impact factor: 6.006

3.  Spectroscopy of the A(1B2)-X(1A1) transition of jet-cooled fluorobenzene: laser-induced fluorescence, dispersed fluorescence, and pathological Fermi resonances.

Authors:  Phillip Butler; David B Moss; Hongming Yin; Timothy W Schmidt; Scott H Kable
Journal:  J Chem Phys       Date:  2007-09-07       Impact factor: 3.488

4.  An excited state ab initio and multidimensional Franck-Condon analysis of the A (1)B2 <-- X (1)A1 band system of fluorobenzene.

Authors:  Igor Pugliesi; Nicola M Tonge; Martin C R Cockett
Journal:  J Chem Phys       Date:  2008-09-14       Impact factor: 3.488

5.  Excitation energy transfer in organic materials: from fundamentals to optoelectronic devices.

Authors:  Frédéric Laquai; Young-Seo Park; Jang-Joo Kim; Thomas Basché
Journal:  Macromol Rapid Commun       Date:  2009-06-30       Impact factor: 5.734

6.  Unraveling the Detailed Mechanism of Excited-State Proton Transfer.

Authors:  Panwang Zhou; Keli Han
Journal:  Acc Chem Res       Date:  2018-06-15       Impact factor: 22.384

7.  Benchmarking TD-DFT against Vibrationally Resolved Absorption Spectra at Room Temperature: 7-Aminocoumarins as Test Cases.

Authors:  Francesco Muniz-Miranda; Alfonso Pedone; Giulia Battistelli; Marco Montalti; Julien Bloino; Vincenzo Barone
Journal:  J Chem Theory Comput       Date:  2015-10-09       Impact factor: 6.006

8.  Combined theoretical and experimental study of the valence, Rydberg and ionic states of fluorobenzene.

Authors:  Michael H Palmer; Trevor Ridley; Søren Vrønning Hoffmann; Nykola C Jones; Marcello Coreno; Monica de Simone; Cesare Grazioli; Teng Zhang; Malgorzata Biczysko; Alberto Baiardi; Kirk A Peterson
Journal:  J Chem Phys       Date:  2016-05-28       Impact factor: 3.488

9.  Accurate Excited-State Geometries: A CASPT2 and Coupled-Cluster Reference Database for Small Molecules.

Authors:  Šimon Budzák; Giovanni Scalmani; Denis Jacquemin
Journal:  J Chem Theory Comput       Date:  2017-12-01       Impact factor: 6.006

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