Nazanin Davaria,
Shokouh Haghdania,
Per-Olof Åstrand*a and
George C. Schatzb
aDepartment of Chemistry, Norwegian University of Science and Technology (NTNU), NO-7491, Trondheim, Norway. E-mail: per-olof.aastrand@ntnu.no
bDepartment of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3113, USA
First published on 19th March 2015
A force-field model for the local electric field as a linear response to a frequency-dependent external electric field is presented based on a combined charge-transfer and point–dipole interaction (CT-PDI) force-field model for frequencies through the first absorption maximum. The local electric field provides a measure of the mutual interactions of the molecules with each other, as is important in problems ranging from dielectric breakdown to solvent polarization and energy transfer. It also indicates how resonant excitation of these molecules can perturb Raman scattering by a third molecule located nearby through an intensity borrowing mechanism. The CT-PDI model is a combination of a modified electronegativity equalization model including non-metallic behaviour and a point–dipole interaction model described by atomic polarizabilities which also includes the time-dependence of the atomic charges and atomic dipole moments. A parametrization of frequency-dependent polarizabilities through the first absorption maximum calculated by time-dependent density-functional theory has been extended for a set of hydrocarbon and azobenzene molecules to provide atom-type parameters for the CT-PDI model. As initial model systems, results are presented for the benzene and azobenzene dimers for the local electric field response at points between the molecules and at the atoms in the molecules. As expected, the response depends critically on the intermolecular distance between the monomers. The azobenzene dimer shows a larger local field response at the atoms in the phenyl rings compared to the benzene dimer and the response at the nitrogen atoms is larger than at the hydrogen and carbon atoms in the azobenzene dimer, which can be rationalized qualitatively by the charge and dipole contributions to the local field factor either adding up or to a large extent cancelling each other. At the absorption frequency, the largest local field factor of the benzene dimer is around 6 and for the azobenzene dimer it is around 12, respectively, at typical distances, indicating that the response may be significant.
Quantum chemical response theory5 and time-dependent density-functional response theory (TDDFT)6 are standard methods to obtain response properties for small and medium-sized systems. Electric dipole shieldings and hypershieldings7 have been calculated at the Hartree–Fock level of theory8–10 which determine the linear and non-linear local field responses to the external field. In TDDFT calculations, the accuracy of the response properties depends critically on the choice of density functionals,11–15 because the exchange–correlation potential in approximate standard functionals shows incorrect asymptotic decay of the true electrostatic potential.16,17 Long-ranged corrected (LC) functionals with the correct asymptotic behaviour have been suggested as alternatives for this purpose.18–23
Force-field models have been used as an alternative for the calculation of response properties of relatively large molecules. The point–dipole interaction (PDI) model,24–28 has been used for the calculation of the polarizabilities of carbon nanotubes and fullerenes,29–34 boron nitride tubes35 and proteins,36 and it has also been extended to properties such as optical rotation37–40 and hyperpolarizabilities.30,31,33,41–45 In the PDI model, atomic polarizabilities couple with each other in an external electric field through the atomic induced dipole moments and the molecular polarizability is obtained by considering atomic polarizabilities as atom-type parameters.
To calculate atomic charges, the electronegativity equalization model (EEM)46–48 has been used where the charge-transfer between atoms is calculated using atomic electronegativities and chemical hardnesses as atom-type parameters. To resolve the limitation of the EEM regarding the charge transfer over large distances,49,50 the atom–atom charge-transfer (AACT) method49 is adopted in a model that is transferable to both metallic and non-metallic systems.51–57 In a metallic model like EEM, charges are allowed to move without a significant resistance between the atoms such as in highly conjugated systems, while a non-metallic model describes molecules with much less charge-transfer, as for example in alkanes.
In the charge–dipole interaction model, e.g. a combined EEM and PDI model58–63 or a combined capacitance model and PDI model,50,64–67 each atom is associated with both a net electric charge and a dipole. In the capacitance model, the charge-transfer term is determined in terms of the atomic capacitance which is the inverse of the atomic chemical hardness. Frequency-dependent polarizabilities have been calculated using the charge–dipole interaction model, where the interaction with oscillating electric fields is considered by including the kinetic energy of the atomic charges and the atomic dipoles68–71 and it has been extended to the calculation of absorption spectra.72,73
In this work, frequency-dependent polarizabilities have been parametrized by a combined charge-transfer and point–dipole interaction (CT-PDI) model,74,75 where the charge-transfer and dipole terms are obtained using the AACT and PDI models, respectively, and the charge–dipole interaction gives the coupling between the two models. An extra energy term is added to the charge-transfer term in our model to obtain polarizabilities that scale correctly with the size of the system. One set of atom-type parameters is used for each element, which can be determined assuming that the amount of charge-transfer in a bond is a function of the bond distance.57
Solving the CT-PDI model, or any similar model, for the frequency-dependent polarizability gives direct information about the local electric fields as the response to an external electric field (both static and optical frequency). In the calculation of local electric fields, it is in most cases of interest to locate “hot spots”, i.e. points where the local field is very high which can initiate rare events in chemistry. As an example where static fields are important, in electrical breakdown in insulating liquids,76 the probability of the production of free electrons increases at the location of high local electric fields. In this context, we have developed a model for calculating the field-dependent ionization potential,77–80 but the local field is needed to deduce the actual molecular ionization potential in an electrically insulating liquid.
Local electric fields at optical frequencies play a role in many other phenomena. For aggregates of molecules they determine the interactions between molecules that lead to exciton transport and shifts in excited state energies. For molecules in solvents they are responsible for the solvent-induced effects on optical spectra. In addition, they are important in surface-enhanced Raman scattering (SERS),81–84 where the local field near metal nanoparticles is enhanced by plasmon excitation. Indeed, previously there have been calculations of electric fields in the vicinity of silver clusters as models of SERS.85,86 However, metal clusters or particles are not required in order to generate observable effects. For example, solvent vibrational modes have been observed in the resonance Raman and resonance hyper-Raman spectra of small molecules.87,88 In addition, there is much current interest in the plasmonic states of aromatic molecules,89,90 where one expects to see enhanced fields and hot spots.
Previously, the CT-PDI model has been used to calculate frequency-dependent polarizability.74,75 In this work, the CT-PDI model is parametrized against TDDFT calculations and is applied to two molecular dimers, benzene and azobenzene, where the local field response to the frequency-dependent external electric field is calculated for frequencies through the first absorption maximum. Since the emphasis in this work is on method development and testing by comparisons with TDDFT, only simple dimer structures are considered. However the methods we are developing have the capability of being applied to much larger systems, including molecular aggregates and large graphene-like aromatic systems.
| ElocI,β = EextI,β + EpolI,β | (1) |
The polarization field at atom I arises from the charges and dipole moments of the surrounding atoms:
![]() | (2) |
![]() | (3) |
![]() | (4) |
![]() | (5) |
In the same way, the electrostatic interaction between a point charge qP and a Gaussian charge distribution of atom I is given as
![]() | (6) |
T(1)IJ,β and T(2)IJ,βγ in eqn (2) are the charge–dipole and dipole–dipole interaction tensors:
![]() | (7) |
![]() | (8) |
. In our model, the atomic charge is replaced by the charge-transfer term, qJM,49,57
![]() | (9) |
![]() | (10) |
![]() | (11) |
The response of the local field to the external field becomes:
![]() | (12) |
The TDDFT polarizabilities were used as reference data for the parametrization of the CT-PDI model. The first π → π* excitation of azo dyes, aromatic molecules and polyenes as well as the first σ → σ* excitation of alkanes were included in the parametrization, while higher excitations were ignored. The set of azobenzenes studied in our previous work75 was here extended by a set of hydrocarbons. The parameters were optimized by a simplex algorithm to minimize the relative root mean square deviation (RMSD) between the polarizabilities calculated by the TDDFT method and the CT-PDI model. Both the real and the imaginary parts of the full polarizability tensor were parametrized.
The values of the parameters are presented in Table 1 with a brief description and Table 2 presents the molecules grouped as a training set for the parametrization and a validation set to evaluate the parameters. The equations including all parameters can be found in ref. 74 and are not repeated here. α and x are the isotropic and anisotropic atomic polarizability parameters, respectively, describing the atomic polarizability. η is the chemical hardness parameter in the regular EEM and the width of a Gaussian charge distribution is described by the ϕ parameter. To describe the non-metallic behaviour, a charge-transfer model was introduced that contains four atom-type parameters, g0, g1, C and R. Also four atom-type parameters, cq, cμ, γq and γμ were used to describe the frequency-dependence. More specifically, cq and cμ correspond to the inverse of the numbers of oscillating charges and dipoles, respectively, whereas γq and γμ describe the dissipation of the charge and dipole contributions, respectively.
| Description | C | H | N | |
|---|---|---|---|---|
| α | Isotropic atomic polarizability | 8.2569 | 2.5564 | 4.8957 |
| x | Anisotropic atomic polarizability | 0.2576 | 0.5021 | 0.2874 |
| η | Chemical hardness | 2.7742 | 2.9595 | 3.1935 |
| ϕ | Width of a Gaussian distribution | 1.2193 | 0.4599 | 2.6465 |
| g0 | Charge-transfer in non-metallic systems | 0.7765 | 0.2052 | 1.0624 |
| g1 | Charge-transfer in metallic systems | 0.9964 | 0.2236 | 1.2355 |
| C | Steepness of the charge-transfer | 1.7372 | 2.1490 | 4.9503 |
| R | Atomic radius | 1.3947 | 0.7516 | 1.1708 |
| cq | Number of oscillating charges | 3.1893 | 3.8734 | 1.1866 |
| cμ | Number of oscillating dipoles | 0.1222 | 2.3579 | 4.1181 |
| γq | Dissipation of charge | 0.0121 | 0.0210 | 0.0033 |
| γμ | Dissipation of dipole | 0.0127 | 0.0226 | 0.0018 |
| Molecule | Excitation energy | Static polarizability | |||||||
|---|---|---|---|---|---|---|---|---|---|
| TDDFT | CT-PDI | Error % | Exp. | TDDFT | CT-PDI | Error % | Exp. | ||
| Training set | trans-Azobenzene | 3.37 | 3.32 | 1.48 | 3.90 (ref. 103) | 198.7 | 201.8 | 1.56 | 171.4 (ref. 104) |
| 3-Methylazobenzene | 3.40 | 3.27 | 3.82 | 3.85 (ref. 103) | 215.5 | 226.7 | 5.20 | ||
| 4-Methylazobenzene | 3.27 | 3.18 | 2.75 | 3.72 (ref. 103) | 220.8 | 224.7 | 1.77 | ||
| 4-Aminoazobenzene | 2.99 | 3.13 | 4.68 | 3.19 (ref. 105) | 232.4 | 226.4 | 2.58 | ||
| 4-Cyanoazobenzene | 2.99 | 3.20 | 7.02 | 3.81 (ref. 105) | 233.0 | 242.5 | 4.08 | ||
| 4,4′-Di-diethylaminoazobenzene | 2.53 | 2.88 | 13.80 | 2.91 (ref. 106) | 432.6 | 377.3 | 12.78 | ||
| 4-Methyl-4′-dimethylaminoazobenzene | 2.76 | 3.02 | 9.42 | 3.05 (ref. 107) | 297.6 | 290.0 | 2.55 | ||
| 4,4′-Diaminoazobenzene | 2.80 | 3.05 | 8.93 | 264.9 | 249.3 | 5.89 | |||
| Benzene | 6.80 | 6.26 | 7.94 | 6.20 (ref. 108) | 70.9 | 72.0 | 1.55 | 70.1 (ref. 109) | |
| Toluene | 6.53 | 5.28 | 19.14 | 5.76 (ref. 110) | 85.5 | 92.1 | 7.72 | 82.7 (ref. 109) | |
| 1,3-Butadiene (C4H6) | 5.39 | 4.95 | 8.16 | 5.92 (ref. 111) | 58.9 | 51.0 | 13.41 | 54.7 (ref. 112) | |
| 1,3,5,7,9,11,13-Tetradecaheptaene (C14H16) | 2.61 | 2.01 | 22.99 | 349.3 | 296.1 | 15.23 | |||
| Ethane | 8.11 | 8.16 | 0.61 | 8.70 (ref. 113) | 30.4 | 25.2 | 17.10 | 30.2 (ref. 109) | |
| Propane | 7.56 | 7.59 | 0.40 | 8.10 (ref. 113) | 43.4 | 37.6 | 13.36 | 42.4 (ref. 109) | |
| n-Tridecane | 7.35 | 7.02 | 4.49 | 535.4 | 543.1 | 1.44 | |||
| Cyclohexane | 7.40 | 7.51 | 1.49 | 7.00 (ref. 114) | 75.3 | 72.6 | 3.59 | 74.2 (ref. 109) | |
| Validation set | 2-Methylazobenzene | 3.27 | 3.54 | 8.26 | 213.4 | 218.9 | 2.58 | ||
| 4-Dimethylaminoazobenzene | 2.79 | 2.99 | 7.17 | 3.07 (ref. 107) | 274.5 | 265.7 | 3.21 | ||
| 4-Diethylaminoazobenzene | 2.75 | 3.05 | 10.91 | 2.99 (ref. 104) | 312.6 | 290.4 | 7.10 | ||
| 4-Cyano-4′-dimethylaminoazobenzene | 2.67 | 2.90 | 8.61 | 2.75 (ref. 115) | 328.9 | 306.6 | 6.78 | ||
| 4,4′-Dimethylazobenzene | 3.24 | 3.13 | 3.40 | 242.5 | 251.6 | 3.75 | |||
| 4-Amino-4′-methylazobenzene | 2.98 | 3.09 | 3.69 | 252.5 | 250.5 | 0.79 | |||
| 4,4′-Di-dimethylaminoazobenzene | 2.60 | 2.94 | 13.08 | 2.94 (ref. 116) | 352.3 | 327.7 | 6.98 | ||
| 4-Cyano-4′-diethylaminoazobenzene | 2.58 | 2.86 | 10.85 | 2.66 (ref. 117) | 362.9 | 331.1 | 8.78 | ||
| 2,4,6-Tricyano-4′-diethylaminoazobenzene | 2.48 | 2.86 | 15.32 | 2.21 (ref. 117) | 401.4 | 395.9 | 1.37 | ||
| Aniline | 4.35 | 4.24 | 2.53 | 4.40 (ref. 110) | 84.5 | 88.3 | 4.50 | 78.1 (ref. 109) | |
| 1,3,5,7,9,11,13,15,17-Octadecanonaene (C18H20) | 2.18 | 1.80 | 17.43 | 539.5 | 413.0 | 23.45 | |||
| 1,3,5,7,9,11,13,15,17,19,21-Docosaundecaene (C22H24) | 1.90 | 1.66 | 12.63 | 770.6 | 532.9 | 30.85 | |||
| Octane | 6.80 | 7.07 | 3.97 | 7.50 (ref. 113) | 110.0 | 107.0 | 2.73 | 104.2 (ref. 109) | |
| Dodecane | 7.35 | 7.02 | 4.49 | 164.7 | 166.1 | 0.85 | 153.5 (ref. 109) | ||
The obtained values of the parameters are in some cases different from our previous work.75 The largest change is in the cq and cμ parameters. The cq parameter of the hydrogen atom decreases from 6.1514 a.u. (ref. 75) to 3.8734 a.u. in this work, while cμ increases from 0.6823 to 2.3579 a.u., indicating that for hydrogen the contribution from oscillating dipole moments decreases whereas the oscillating charge-transfer increases in importance. The reason for these discrepancies between the new and old parameters is that here we provide parameters for a wider set of molecules including a set of hydrocarbons in addition to the azo dyes in our previous work.75 It is an ambitious goal to have a single set of atom-type parameters for carbon with the different properties of alkanes, aromatic systems, polyenes and polyynes, but we believe that the CT-PDI model74,75 is a step in the right direction. The instability of the parameter values is a common phenomenon especially in charge equilibration models, and there is no agreement on a generic set of optimal parameters.102 To provide a comprehensive model that can describe an extensive set of molecular systems, the parameters still need to be improved. The goal is to extend the set of molecules step by step but provide a single set of parameters for all included molecules rather than system-specific parameter sets. Also it is desirable to have atom-type parameters and not, for example, bond and three-body parameters, as well as to have only one set of parameters for each element. Further developments of the model should rather be in the direction of improving the physics of each term by including, for example, higher-order terms such as atomic quadrupole moments and atomic hyperpolarizabilities.
The excitation energies and the static polarizabilities calculated using the TDDFT and CT-PDI models are shown in Table 2 as well as experimental values. The π → π* excitation energies of the azo dyes calculated using the CT-PDI model are in good agreement with those using the TDDFT method. The largest error is around 15% for 2,4,6-tricyano-4′-diethylaminoazobenzene in the validation set. Among the aromatic molecules, benzene, toluene and aniline, the largest error of the π → π* excitation energy is 19% for toluene. The CT-PDI model overestimates the shift in the excitation energy when a methyl substituent is added to a phenyl ring of benzene (e.g. toluene) compared to the TDDFT method and the experimental value.
In the case of polyenes, the errors are larger for the longer chains, C14H16, C18H20 and C22H24, compared to the shorter one, C4H6. For polyenes the shift in the excitation energy on increasing the chain length is in good agreement with results obtained using the TDDFT method. The σ → σ* excitation energy of alkanes is in good agreement with the results using the TDDFT method and also the excitation energy shift is predicted well by the CT-PDI model. The CT-PDI excitation energies are in good agreement with the experimental values and the deviations arise from solvent effects in the experiments.
The errors in the static polarizability of azo dyes are comparable to those in our previous work75 and in some cases are smaller. For example, 2,4,6-tricyano-4′-diethylaminoazobenzene has the largest error of the static polarizability, 23% in our previous work, while here it is 1%. For the alkanes, the static polarizability is in good agreement with the TDDFT results. The largest error is 17% in ethane, while in dodecane it is only 0.85%. The CT-PDI model also gives the static polarizability of aromatic molecules in good agreement with the TDDFT method. The static polarizability of polyenes shows the largest error of around 31% for C22H24.
Fig. 1 shows the carbon–carbon bond distance distribution of the molecules in the training set. As could be expected, the model works better for the bond distances with higher probabilities which is due to the fact that our non-metallic correction to the charge-transfer model strongly depends on the bond distances. The highest peak around 1.40 Å shows the distribution of aromatic bonds, whereas the second highest peak at around 1.53 Å shows the bond distance distribution of single C–C bonds. The small peaks around 1.35 Å represent the bonds in polyenes and the small peak around 1.50 Å shows the carbon bond of a methyl group bound to a phenyl ring, as for example in toluene. In general, the molecules with the largest errors in Table 2 can be explained by their small contribution to the bond distance distribution in the training set. The charge-transfer model in CT-PDI has a strong bond-distance dependence and is based on the sum of the two distances between three connected atoms in a molecule (RIJ + RJK, I ≠ K)57 (the variation of the sum of the two distances is an order of magnitude smaller than the variation of the individual bond distances). In the molecules with methyl substituents, e.g. toluene, the sum of the two bond distances between the carbon atoms of the methyl group and phenyl ring is around 2.9 Å, and the charge-transfer through this bond is not well described, which leads to the relatively large error in the frequency-dependent polarizability. Since the π → π* excitation in azo dyes is caused by the dipole term in the azo group and the adjacent carbon atoms,75 the excitation energy in azobenzenes with methyl substituents is still well predicted because the charge-transfer in the phenyl–methyl bonds does not contribute substantially. The same problem appears for polyenes, with the sum of the two distances around being 2.7 Å in a π-conjugated chain of carbon atoms, which is not well represented in the parametrization.
Fig. 2 shows the frequency-dependent isotropic polarizability of some of the molecules in the training set (left) and in the validation set (right) as well as their charge and dipole contributions. The maximum of the imaginary part of the polarizability gives the absorption frequency. Although the absorption frequencies calculated by the CT-PDI model are in good agreement with those found using the TDDFT method, the polarizabilities at the absorption frequency are in some cases smaller than the TDDFT polarizabilities which affects the local field factor at the absorption frequency. The dipole term dominates the charge term for all the molecules but at the absorption frequency the charge and dipole terms become comparable, especially in the case of azo dyes and long polyenes.
![]() | ||
| Fig. 3 The benzene and azobenzene dimers. The origin of the coordinate system for each dimer is shown at the point between the monomers. | ||
Fig. 5 shows the local field response at carbon atom 2 and hydrogen atom 12 at 8 Å in the x-direction of the external electric field. The charge term at carbon atom 2 cancels to a large extent the dipole term at the absorption frequency leading to the small local field factor. At 8 Å, the largest local field factor is at hydrogen atoms 12 and 18 which is 2.3 at zero frequency and 6.2 at the absorption frequency. The results show that at these atoms, not only ∂ElocI,x/∂Eextx increases with frequency, but also ∂ElocI,y/∂Eexty increases from around 0 to 3.2 at the absorption frequency.
The local field responses at the atoms show that the response at the hydrogen atoms increases more significantly than at the carbon atoms due to a cancellation of the charge and dipole terms at the carbon atoms. ∂ElocI,x/∂Eexty and ∂ElocI,y/∂Eextx at the carbon and hydrogen atoms increase from 0.1 and 0.9 to 0.6 and 3.7, respectively, except for the atoms on the x-direction where these two responses are zero because of symmetry reasons. In general, the local field factor of the benzene dimer is large at the hydrogen atoms in the direction of the external electric field as well as at a point between the monomers as compared to at the carbon atoms which is explained if the charge and dipole terms add up or to a large extent cancel each other.
Fig. 7 (left) shows the largest local field response of the azobenzene dimer at 13 Å (on a scale different from the other figures). ∂ElocI,x/∂Eextx at the nitrogen atoms in the azo groups are around 4.5 at zero frequency and 12 at the absorption frequency. ∂ElocI,y/∂Eextx increases from 2 at zero frequency to around 10 at the absorption frequency. At the nitrogen atoms, the dipole term gives the major contribution to the local field factor whereas the contribution of the charge term is small. The second largest local field response is at hydrogen atoms 12 and 42 where ∂ElocI,x/∂Eextx at zero frequency is around 3.2 and at the absorption frequency is 7.7 (see Fig. 7 (right)).
The local field response, ∂ElocI,y/∂Eextx, is also large but with an opposite sign at carbon atoms 3, 21, 27 and 45, around −1.4 at zero frequency and −8 at the absorption frequency, where both the charge and dipole terms have the same sign (negative). The local field response, ∂ElocI,x/∂Eextx, at these atoms is smaller (around 1.8 and 3.5 at zero frequency and the absorption frequency, respectively) than ∂ElocI,y/∂Eextx, again because of cancellation of the charge and dipole terms. Thus, in the azobenzene dimer the responses on the carbon and hydrogen atoms are comparable while at the nitrogen atoms they are significantly larger. A large degree of cancellation of charge and dipole terms is found in many of the remaining carbon and hydrogen atoms.
The azobenzene dimer shows in general larger static and frequency-dependent local field factors at the carbon and hydrogen atoms than the benzene dimer. An important feature of the CT-PDI model is the division into a charge and a dipole term which may add up to give a relatively large local field factor or the two terms may to a large extent cancel each other. The dependence on the distance between the dimers is significant, indicating for example that the molecular local field factors will vary substantially for a molecular liquid at normal and elevated temperatures and pressures. The model is presently used for dielectric liquids to determine the local field factor as well as the macroscopic polarization and thereby also the optical part of the dielectric constant is obtained by combining molecular dynamic simulations and a modified Lorentz–Lorenz approach developed for the PDI model.31
The local field factors at all atoms of a monomer in the benzene and azobenzene dimers are given in the ESI.†
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: 10.1039/c5ra04183j |
| This journal is © The Royal Society of Chemistry 2015 |