1. Introduction
In chemistry, the distribution and movement of electrons in a system are two fundamental quantities, as first recognized by Schrödinger [
1,
2]. This implies that the electron charge density
and the electron current density
play a central role. Indeed, a careful analysis
(hereinafter, simply
informs on the occurrence and the nature of chemical bonding [
3]. The interest of chemists, though, focuses mainly on the redistributions of electron density in molecules or solids that lead to supramolecular interactions, molecular recognition, and eventually chemical reactions. The latter are historically classified as
charge controlled (hard-type) and
orbital controlled (soft-type) [
4]. The former depends on the uneven distribution of charge in a molecule, and the latter, instead, on the ability of a molecule to redistribute the charge, permanently or instantaneously. The orbitals involved in soft-type interactions are especially the
frontier molecular orbitals, because they are more sensitive to an external perturbation.
Within the framework of McWeeney’s description of intermolecular interactions [
5], the distinction between charge– and orbital–control means having larger interaction between, respectively, the ground states of the molecules (for which the electrostatic interaction energy is dominant) or between the ground state of one and excited states of the other (the polarization interaction energy dominates). Additionally, the interaction between excited states on both molecules implies another soft type of interaction, namely dispersion, introduced by London [
6]. In this context, two quantities derived from
are important: (a) the electrostatic potential
(for the charge control) and (b) the polarizability density
(for the orbital control). While the former is often investigated and a huge array of studies have appeared based on the precise mapping of molecular
and its analysis [
7], including experimental determinations [
8],
is much less investigated. The polarizability density addresses the ability of a molecule to modify the electron density at each point in space.
Apart from the molecular recognition processes, many material properties depend on the polarizability, like opto-electronic and dielectric properties. Therefore, in-depth knowledge of the machinery of molecular polarizability is important not only for supramolecular chemistry but also for structure/property correlation and material design. In this respect, it is vital to understand how atoms and bonds between them shape the polarizability density and consequently the molecular polarizability. This fundamental task can be undertaken by partitioning the molecular polarizability into atomic terms and inspecting the transferability of the extracted quantities. Of note, there is no unique way to partition the molecular electron density into atoms, and the same holds true for the molecular polarizability.
This work has two purposes. One is comparing the atomic polarizabilities obtained with overlapping or non-overlapping atomic partitioning schemes. The second, more ambitious, aim is to propose the polarizability density and distributed atomic polarizabilities as tools for predicting the occurrence and the strength of secondary interactions.
2. Theoretical Background
As introduced above, the most important quantities for the evaluation of the intermolecular interactions are the electric potential and the polarizability density.
The electric potential is easily obtained from the total charge density distribution:
where
is the sum of electron and nuclear charge distributions
. The latter is a discrete function, within the Born–Oppenheimer approximation, with the positive charge occurring only at the nuclear positions, whereas the distribution of negative charges is continuous in space. From the electric potential, one can derive the total electric charge at a point, using Poisson’s equation (here, expressed in atomic units):
For this reason, in the case of hard-type interactions, a good indicator for
nucleophilic and
electrophilic sites of a molecule comes from the inspection of the molecular electrostatic potential and even more of the electric field vector,
, which highlights the anisotropy of the interaction. While a quantitative mapping of
would return a more accurate quantification of hard-type interactions, its analysis would be more complicated, and it is not normally adopted. Instead, chemists prefer to reduce the information in terms of atom-based point charge distribution. For example, the most classical of secondary interactions, namely the hydrogen bond (HB), is usually described as the result of the electrostatic attractions between the positively charged proton of the HB donor group and the negatively charged HB acceptor group [
9]. This is of course very concise information that explains, albeit approximately, many hard-type intermolecular interactions. Similar reasoning is adopted for the interpretation of other kinds of secondary interactions, often classified as hard type.
Soft interactions, instead, are governed by the ability of a molecule to re-polarize under the permanent or temporary electric field
generated by vicinal molecules. In this case, the polarizability density
best addresses the machinery.
is the field derivative of the total charge density distribution, i.e., a second-order tensor function consisting of the following elements:
where
is the
i-th component of the position vector
and
is the
j-th component of the electric field vector at position
. While
and
are scalar functions, hence easily visualized in 3D,
is a (dimensionless) tensor function of position, meaning that at each point
a 3 × 3 matrix consisting of elements
is defined. One can reduce the information of the full tensor using its trace
. This scalar function addresses the regions of a molecule that are more polarized but does not indicate along which direction and which component of the external electric field the molecular electron density is more perturbed.
plays, for soft interactions, the same role as
for the hard ones, addressing electronegative and electropositive regions in a molecule, without indicating the directions along which the interaction would be more effective.
In
Figure 1,
is reported for some molecules investigated in this study. Some features of
and
are interesting to comment on:
is not positive everywhere. As can be seen in
Figure 1, some regions in a molecule may polarize oppositely with respect to the applied electric field, as a reaction against stronger, direct polarization occurring in another part of the molecule. In fact, only the trace of the molecular polarizability
(obtained as space integration
, see Equation (4)) is necessarily positive.
is inherently not symmetric ( for ) unless the point lies on a symmetry element of the molecule imposing some constraints on the tensor. Again, it is only the integrated quantity , which is necessarily symmetric.
The molecular polarizability
is obtained by integrating
over the entire molecular volume. In fact, each component
of the polarizability tensor is given by
which is equivalent to
where
and
are the
-th and
-th components of the molecular dipole moment and of a static and homogenous external electric field, respectively. The overall positivity and symmetry of the
tensor come from the fact that Equation (5) can also be written as a mixed double derivative of the molecular energy, which is of course insensitive to the permutation of the derivatives (because
,
).
The inherent asymmetry of is very important for the partition of the molecular polarizability in terms of atomic contributions. In fact, it is clear that any subspace of cannot guarantee the symmetry of the polarizability integrated in that domain unless the domain is itself symmetric. This implies that atomic tensors may not become symmetric unless the atom sits on symmetry elements.
Despite the importance of
, supramolecular chemists often attribute the interplay between molecules to an electrostatic attraction between the ground-state electron densities, hence focusing only on the hard nature of the interaction. Like for the electric potential, also for polarizability, one can simplify the information in terms of a combination of atomic contributions. A partitioning scheme is necessary to calculate atomic polarizabilities. If
is the atomic domain in the position space (
), the components of the polarizability tensor for that domain are calculated as
The same partition can be applied to Equation (5):
where
is the
-th component of the atomic dipole moment
calculated by integrating the dipole density over the atomic domain. This consists of two parts: (a) the atomic (internal) polarization, and (b) the bond (external) polarization. The former describes the deformation of the electronic charge distribution inside the domain of atom
, whereas the latter is the result of charge transfer occurring between atoms, through bonds:
The distinction between internal and bond polarization could also be applied to the polarizability density itself, once a partition scheme is adopted. However, here, atomic tensors are calculated from the integrated atomic dipole moments.
The internal polarization is easily computed as
The bond polarization, instead, depends on the charge transferred among atoms through the bonds:
where
is the position of the bond between atoms
and
and
is the charge transferred through this bond, where a positive or negative charge transferred is related to atom
, so that
. Another two conditions are necessary to unambiguously compute bond charges: (a) the sum of bond charges of an atom is equal to the charge of that atom; (b) in case of a loop in the molecular graph, the sum of bond charges along the loop is zero [
12].
As anticipated above, the atomic tensor may not be symmetric. Otero et al. [
13] attributed this feature to the way in which the atomic tensor is calculated, namely if using Equation (7) (differentiation of the integrated quantities) instead of Equation (6) (integration of the differential quantities). However, this is not the reason for the asymmetry, which depends instead on the asymmetry of the
domain (unless symmetry elements of the molecule intersect the domain). For visualization and exportability purposes, the symmetrization of a tensor can be easily applied by averaging
and
[
14]. Otero et al. [
13] also claimed that the procedure through Equation (7) does not take into account the regions where the polarizability density is negative, which is also not correct because they are inherently summed up in the integration of the atomic dipole moment.
The atomic polarizability is like the atomic charge , though with the advantage of highlighting the directions along which an external electric field is more effective. In fact, in keeping with Equation (2), the atomic polarizability can be regarded as the counterpart of the atomic electric field gradient (a tensor that would describe along which directions the atomic charge is more effective). The atomic polarizabilities, therefore, may enable a simplified interpretation of secondary soft-type interactions between molecules and therefore could be used to examine and classify the vast variety of them.
In order to calculate and , a topological graph of the system under study is necessary, because one needs to know (a) the atomic domain; (b) the charge transfer paths (bonds); and (c) the site where to locate the bond charge. The attention is therefore shifted to the partitioning, which enables both the evaluation of atomic charges and atomic polarizabilities. As well-known, a universal partition does not exist, because many schemes have been proposed in quantum chemistry to extract atoms from a molecule. Hard-space partitions offer the advantage of defining unambiguously the three loci requested above, because they identify a surface separating atoms and therefore the volume domain of the atom, the connectivity of each atom (the bonds, although not necessarily covalent bonds), and the positions of the bond charges (points on the interatomic surfaces intersecting the inter-nuclear vectors).
Among hard-space schemes, the Quantum Theory of Atoms in Molecules (QTAIM) [
3] has provided one of the most physically grounded modes of partitioning, although some severe criticism has appeared in the literature [
15]. The atomic domains are identified through the electron density gradient field
. Each point in space belongs to one atomic basin
if the gradient field trajectory (the gradient path
of
is a curve that satisfies the gradient flow equation
where s is a parameter along the path)
terminates at the attractor point of that atom, namely the electron density maximum coinciding with the position of the atomic nucleus
:
The boundaries between atoms are the interatomic (zero-flux) surfaces
. An interatomic surface is a
locus of points fulfilling the condition:
where
are vectors normal to the surface.
The atomic basin then consists of points
satisfying the condition of Equation (11) or (12), including
and no gradient trajectory from points outside the basin
terminates at
. QTAIM has been adopted in fact for the calculation of distributed atomic polarizabilities [
16] and, more recently, hyperpolarizabilities as well [
17].
Other very popular schemes adopted in molecular quantum mechanics are the Hirshfeld atom (HA) [
18] and the Voronoi atom (VA) [
19,
20]. The latter is like QTAIM, a hard-space partitioning that exactly divides the molecular space into non-overlapping atomic domains using a simple distance criterion. Each point
belongs to an atom if the nucleus is the closest nucleus to that point. Formally,
In Voronoi’s scheme as well, an interatomic surface
separating atom
and
exists, which is the
locus of points for which
. The main difference between VA and the QTAIM atomic basin is that, in the former, interatomic surfaces also occur between atoms that are not chemically bonded with each other, especially if they are in the periphery of a molecule. For example, in H
2O, an interatomic surface is shared between two H atoms, as can easily be appreciated from
Figure 2. This implies that a charge transfer also occurs between these two atoms. In general, this peculiarity may significantly affect the shape of the atomic polarizabilities computed with this method. Another significant difference stands in the larger electron population computed for less electronegative (smaller) atoms. For example, H atoms in water bear 1.32 electrons for a net negative charge (−0.32), which is clearly counterintuitive. Mathematically, though, there is no ambiguity because the boundary of H atoms is positioned quite far from the nucleus (at the midpoint of any bond formed with the H atom), whereas in QTAIM, the interatomic surface is quite close to the H atoms, making their population extremely small. This feature, as well, affects the atomic polarizabilities. One additional feature of Voronoi partition is interesting:
depends only on the molecular geometry, not on the electron density. Therefore, in the calculation of static electric polarizability (i.e., ignoring nuclear response to the field),
is independent from the field, at variance from QTAIM. Nevertheless, the dependence of the atomic boundaries on the applied electric field can be safely neglected in the QTAIM type of atomic polarizability calculations, being extremely small.
On the other hand, the Hirshfeld atom partitioning (not to be confused with a Hirshfeld molecular surface [
21]) does not rely on hard-space division. Instead, each point in space receives a contribution from every atom of the molecule. In fact, at each point
, the portion of the molecular electron density
that belongs to atom
is computed with the stockholder criterion [
18]:
where
is the (spherical) electron density of atom
calculated from its neutral ground state in isolation; and
is the atomic weight function, calculated as the ratio between the neutral, spherical electron density of atom
and the
promolecule density, i.e., the molecular electron density calculated as the simple superposition of neutral, spherical atoms.
One disadvantage of a fuzzy partitioning like the Hirshfeld atom is that one needs to specify the bond paths in the molecule, which are not directly addressed by the partition. In general, one could consider the set of atom–atom bonds defined through the distance criterion. However, this is a pitfall of the Hirshfeld method.
Figure 2.
Electron density partitioning adopted in this work: (
left) QTAIM (based on
); (
center) Voronoi (based on distances to nuclei); (
right) Hirshfeld (based on stockholder criterion). The molecule used for this schematic picture is H
2O. For Hirshfeld partitioning, due to the overlapping atomic weight functions, all three
functions are plotted separately. The color code goes from black (
to white (
). The gradient field map was generated with the software Aimall 19.10.12 [
22], whereas the weight function bitmap was generated with MAPVIEW [
23].
Figure 2.
Electron density partitioning adopted in this work: (
left) QTAIM (based on
); (
center) Voronoi (based on distances to nuclei); (
right) Hirshfeld (based on stockholder criterion). The molecule used for this schematic picture is H
2O. For Hirshfeld partitioning, due to the overlapping atomic weight functions, all three
functions are plotted separately. The color code goes from black (
to white (
). The gradient field map was generated with the software Aimall 19.10.12 [
22], whereas the weight function bitmap was generated with MAPVIEW [
23].
It is well known that charges and electric moments of atoms calculated with different electron density partitioning may differ significantly. This also has implications for their interpretations in terms of hard-type interactions, because they may not be so representative of the electrostatic potential. For example, it was demonstrated that the intermolecular electrostatic energies computed via QTAIM converge only if higher atomic multipole moments are included [
24]. One may anticipate that similar discrepancies arise for the atomic polarizabilities as well. However, as discussed above, the atomic polarizabilities depend in part on the internal polarizations, which are less sensitive to the partition method. Nonetheless, in the next paragraph, the role of the partition schemes will be analyzed. Like for the atomic/molecular charges, the atomic polarizabilities sum up to the molecular polarizability. Therefore, independent from the partition scheme, it holds the following summation:
Equation (15) inspires a discussion about the “exportability” of atomic polarizabilities, in other words, the similarity of atomic polarizabilities in similar chemical environments. This hypothesis enabled researchers to build databases of atomic or functional group polarizabilities [
25,
26] useful for the rapid prediction of molecular polarizabilities, avoiding sophisticated and time-consuming calculations. While this is valid for molecular species, so that one can also predict optical properties of molecular materials (for which the effects of crystal packing are only small perturbations), there are some interesting exceptions, for example, in ionic liquids, for which additivity [
27] and linearity of the response to an external electric field [
28] are lost. As a matter of fact, in ionic liquids, the ionic force is so strong that atomic polarizabilities are significantly perturbed, and therefore exportability is not possible.
4. Discussion and Conclusions
While the fundamental quantity for the analysis of the induced polarization of a molecular electron density is the polarizability density (a tensor function), the results presented in the previous section indicate that other more easily interpretable quantities could be investigated. For example, is a scalar 3D function, representing the isotropic polarizability density (), and therefore it addresses regions of space that are more polarizable. It does not indicate along which direction the electron density will preferentially polarize upon application of an electric field, information which is instead provided by the distributed atomic polarizabilities , which are atom-centered tensors coming from the integration within atomic domains. On the other hand, s are limited because they convey information about the overall polarizability of an atom, without addressing specifically if the valence region is polarizable, which is fundamental information for the prediction of supramolecular interactions. This is the reason why a combination of and is more effective for the interpretation of the molecular susceptibility to interact or react. An analogy can be drawn between polarizability density + polarizabilities and electrostatic potential + atomic charges (the two most diffused indicators to study the hard-type electrostatic intermolecular interactions). Atomic charges give an idea about the possible reactive atom in a molecule, while electrostatic potential more precisely addresses the region of space that imparts an electrophilic or nucleophilic character. The analogy is however not completely fair, because the atomic polarizabilities are tensors, and hence they inherently contain information about the directionality of a possible interaction with vicinal molecules, whereas atomic charges are simply scalars. Indeed, the best analogy for the atomic polarizabilities would be with the atomic electric field gradient , a quantity that is seldom used and anyway only computed/measured at nuclear sites (instead of being integrated over an atomic domain).
In this work, I have tested different partition schemes to calculate , given that there is no unique definition of an atom in a molecule. Two hard-space partitions (QTAIM and Voronoi) were used as well as one fuzzy scheme, consisting of overlapping densities like Hirshfeld.
The partition mainly influences atomic-derived charges, and hence the bond dipoles, which depend on charge transfer between pairs of atoms. For this reason, in the case of strongly ionic compounds, like LiF, the atomic polarizabilities may significantly differ because the atomic charges derived with different schemes are in fact extremely divergent.
Figure 3 and
Figure 4 (bottom) clearly illustrate these discrepancies. Of course, the unavoidable variance of atomic populations produced by different definitions of an atom in a molecule affects the distributed polarizabilities as well. Nevertheless, some considerations about the suitability of the different methods are useful. The evaluation of atomic polarizabilities requires not only the definition of an atom in a molecule but also of the “channels” for electron density shifts and the precise point at which to fix a bond dipole. In this respect, QTAIM is seamlessly ideal because the topological analysis of the electron density returns atomic domains, interatomic bond paths and surfaces, and, especially, the bond critical points, where the bond dipole is positioned. Voronoi’s partition also offers atomic domains and interatomic surfaces, but one has to assume that the dipole moment is located at the intersection of the internuclear vector and the interatomic surface. Another drawback of the VA scheme is that interatomic surfaces also occur between atoms that are not chemically bonded (like the two H atoms in H
2O). This inherently opens up channels that are not physically sensible. Additionally, the VA scheme tends to assign too many electrons to less electronegative atoms, which implies larger atomic polarizabilities for those atoms.
Compared to QTAIM, VA is computationally less expensive, because the determination of the atomic domain is quite rapid, at variance from QTAIM.
If one instead considers the Hirshfeld atom partition, more biases arise because no interatomic boundary can be defined, and therefore one has to assume chemical bonds based on a prejudice, and position the bond dipole at the midpoints of the internuclear vectors. Nevertheless, the Hirshfeld approach has some advantages. It is very easily computed because one does not need to define atomic spatial domains. Moreover, the results are not enormously different from QTAIM, unless for those systems for which the partition significantly affects the atomic charge (see, for example, LiF). Of course, instead of the simple HA, one could use the iterative Hirshfeld partition [
37] that typically assigns atomic charges more consistent with chemical expectation. These alternative schemes can be easily implemented as well as any other scheme, considering that the mathematics presented in
Section 2 are valid independently from the type of partitioning.
Some comments are also necessary for the proper interpretation of the atomic polarizabilities. As explained in
Section 2, any (hard-space or fuzzy) partition
of the
space may produce a subspace that is not as symmetric as an ellipsoid (or, in general, a symmetric second-order tensor). To be sufficiently symmetric, the point group symmetry of the
subspace should be at least
. Because the weight function in the case of HA is defined in the entire
, the condition to obtain a symmetric tensor is that
be at least of
point group symmetry, which again means that the atom sits on a special symmetry position in the molecule (which is typically an exception, not the rule). If the atomic domain has lower symmetry, the calculated tensor is not symmetric, which produces some disadvantages. The tensor symmetrization of Nye [
14] solves the problem because it does not alter the major directions of polarizability of an atom, and it also guarantees that the overall summation of atomic polarizabilities coincides with the molecular polarizability. In fact, the symmetrization procedure creates an antisymmetric tensor as well, but it was demonstrated [
29] that the sum of all antisymmetric atomic tensors in a molecule vanishes, and hence the sum of symmetrized tensors must coincide with the molecular tensor. The a posteriori symmetrization enables an easy visualization and therefore interpretation of the atomic contribution, and it also allows the exportability of polarizabilities. In fact, databases of so-defined atomic polarizabilities have recently appeared [
25,
38], demonstrating the possible applications in crystal engineering.
In this work, I have not examined the level of theory (type of DFT functionals, ansatz of the wavefunction, etc.) or the basis set used for the quantum chemical calculations of molecular electron densities and their field derivatives. This is, of course, a very important and critical step, but it is out of the scope of this paper, which is analyzing the effect of the atom partitioning scheme. Of course, the greater the accuracy of the molecular wavefunction (and hence the electron density), and, especially, the wavefunction calculated under an electric field, the greater the accuracy of the calculation of the polarizability density and the distributed atomic polarizabilities. The reader can find more information about the effect on atomic and molecular polarizabilities due to the level of theory and the basis set in a previous work, focusing on amino acids and their optical properties [
39]. The general conclusions of this article, though, are not affected by the type of quantum chemical calculation, because they concern only the methodology to divide the polarizability density and its more appropriate application. A finer comparison between post-Hartree–Fock calculations and DFT calculations or between different types of basis sets will be discussed in future work.
In conclusion, this work has demonstrated the advantages of using distributed atomic polarizabilities and polarizability density functions to interpret molecular features that are fundamental in molecular recognition processes and reactivities. The focus on electric polarizability instead of electric potential or charges shifts the perspective from hard to soft interactions.
The tools described in the previous sections are highly applicable for analyzing intermolecular interactions, which are becoming increasingly sophisticated, especially given the emerging applications in materials science. Therefore, the analysis based on properties directly correlated with soft interactions is extremely important and should not be underrated.