Piotr de Silva1, Clémence Corminboeuf1. 1. Laboratory for Computational Molecular Design, Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne , CH-1015 Lausanne, Switzerland.
Abstract
We introduce a density-dependent bonding descriptor that enables simultaneous visualization of both covalent and noncovalent interactions. The proposed quantity is tailored to reveal the regions of space, where the total electron density results from a strong overlap of shell, atomic, or molecular densities. We show that this approach is successful in describing a variety of bonding patterns as well as nonbonding contacts. The Density Overlap Regions Indicator (DORI) analysis is also exploited to visualize and quantify the concept of electronic compactness in supramolecular chemistry. In particular, the scalar field is used to compare the compactness in molecular crystals, with a special emphasis on quaterthiophene derivatives with enhanced charge mobilities.
We introduce a density-dependent bonding descriptor that enables simultaneous visualization of both covalent and noncovalent interactions. The proposed quantity is tailored to reveal the regions of space, where the total electron density results from a strong overlap of shell, atomic, or molecular densities. We show that this approach is successful in describing a variety of bonding patterns as well as nonbonding contacts. The Density Overlap Regions Indicator (DORI) analysis is also exploited to visualize and quantify the concept of electronic compactness in supramolecular chemistry. In particular, the scalar field is used to compare the compactness in molecular crystals, with a special emphasis on quaterthiophene derivatives with enhanced charge mobilities.
Visualization
of bonding interactions between atoms and molecules
is a long-standing quest in computational chemistry. During its development
many methods have been proposed to serve this purpose. The main interest
lies in creating a tool that enables not only to see the interaction
but also to interpret its character and properties. There is no general
agreement on how to derive an optimal method and the existing ones
are based on many very different ideas based on orbital transformations,
localization descriptors, topological density analysis, and others.
This problem can be traced back to the lack of a clear and unambiguous
definition of a bond in quantum mechanics. Therefore, a chemical bond
together with other notions such as electron shells, lone pairs, aromaticity,
atomic charges, (hyper-) conjugation, strain, etc. constitute a rich
set of “fuzzy”, yet invaluably useful concepts.[1−4]The fundamental model of chemical bonding is based on one-determinantal
electronic structure methods such as Hartree–Fock or Kohn–Sham
density functional theory (DFT). The fundamental ingredients of these
methods, namely canonical molecular orbitals (CMO), represent bonds,
lone pairs, and core electrons. The analysis of bonding effects is
based on their symmetry as well as corresponding orbital energies.
An undesired feature of CMOs is that they are delocalized over large
parts of a molecule, which is not compatible with a typically two-center
character of an individual bond, that is, the Lewis picture. This
character is restored by localized molecular orbitals (LMO), which
are obtained by some unitary transformation of occupied CMOs. A number
of localization procedures has been proposed, which differ by the
criterion used for the transformation.[5−14] As LMOs are not eigenfunction of a one-electron Hamiltonian, they
do not have well-defined energies. Also, depending on the method,
LMOs can be a combination of CMOs of different symmetry.The
Lewis picture of chemical bonding can be restored from a one-particle
density matrix in atomic orbitals basis by Natural Bond Orbitals (NBO)
analysis.[15,16] NBOs can be seen as an extension of LMOs,
where the constraint on occupation numbers has been released in favor
of stricter localization. Therefore, NBOs yield maximum occupancy
one- and two-center orbitals. The bonding patterns beyond the two-center
paradigm, can be studied with the Adaptive Natural Density Partitioning
(AdNDP)[17,18] method, which is a generalization of the
NBO concepts.The interpretation of chemical bonding in terms
of molecular orbitals
remains nonetheless ambiguous. For an N electron
closed-shell system, there are N/2 occupied orbitals,
which extend over the entire space or a restricted region of space,
which means that orbital densities overlap with each other. As a result,
the do not offer an intuitive depiction and detailed information on
the nature and location of electron pairs. A different class of bonding
analysis methods is based on scalar fields, which detect localized
electrons in real space. These localization functions are usually
computed from molecular orbitals or density matrices, such as Electron
Localization Function (ELF),[19−21] Localized Orbital Locator (LOL),[22,23] Electron Localizability Indicator (ELI),[24−26] or nonadditive
Fisher information.[27,28] Methods relying only on electron
density have also been proposed recently, such as Localized Electrons
Detector (LED)[29,30] or Single-Exponential Decay Detector
(SEDD).[31,32] The starting point and rationale for different
bonding detectors is based on different physical assumptions, nevertheless,
usually they provide some local measure of Pauli repulsion, which
is related directly to the kinetic energy of electrons.Another
prominent method for bonding analysis is the quantum theory
of atoms in molecules (QTAIM).[33,34] Within this theory,
the total electron density is partitioned into nonoverlapping atomic
basins. The whole analysis is based on topological properties of electron
density, such as the character of stationary points and existence
of bonding paths defined in terms of the density gradient. The Laplacian
of the density is used as an indicator of local charge concentration,[35] which yields also information about bonding
in real space. Additional information about the character of the bond
can be extracted from various characteristics calculated at the bond
critical point, such as the bond ellipticity[36] or metallicity.[37−39]All the above-mentioned approaches have gained
much popularity
and were applied to many computational studies of molecular systems.
Additionally, QTAIM is widely used in analysis of experimental charge
densities,[40−42] whereas application of orbital-based localization
functions requires further approximations.[43,44] QTAIM, in principle, allows to characterize both covalent and noncovalent
interactions; however, their representation in terms of stationary
points and bond paths is not very intuitive. On the other hand, localization
functions provide a meaningful representation of atomic shells, lone
pairs, and covalent bonds, but usually, they do not detect noncovalent
interactions. This gap has been filled recently by the noncovalent
interaction (NCI) index,[45,46] which is based on the
reduced density gradient (RDG) and uses concepts from QTAIM to distinguish
the character of interactions. The dependence of NCI on electron density
only enables a straightforward analysis of experimental charge densities.[47] NCI visualizes both intra- and intermolecular
weak interactions through RDG isosurfaces at low electron density
values, however, does not reveal covalent bonds. The interest in studying
simultaneously strong and weak interactions has led to applications
of combined ELF/NCI analysis.[48,49]In this work,
we introduce a scalar field, which reveals both covalent
and noncovalent interactions in the same value range. It should be
seen as a modification of the Single-Exponential Decay Detector,[31,32,50] which was proposed by one of
us as a density-based bonding descriptor. Although, in principle,
SEDD reveals both covalent and noncovalent interactions, the latter
ones are often not well resolved due to the significant numerical
noise in the low density regions, stemming from the use of finite
atomic basis sets. The approach presented here is free from this flaw
and additionally allows for a convenient transformation to the range
of values restricted between 0 and 1. Contrary to the majority of
bonding descriptors, the introduced quantity does not directly measure
where do the electrons locate but rather focuses on geometrical features
of the electron density. More specifically, one here reveals regions
of space where the electron density between atoms, molecules or atomic
shells clashes. As detailed in the next section, these overlapping
regions can be identified by the deviation of their densities from
that of localized electrons, which decay approximately exponentially
from an arbitrary point. A physical interpretation of the proposed
descriptor has been provided in terms of the local wave vector[51−53] (i.e., ∇ρ(r)/ρ(r)),
which is constant for single-exponential densities and thus reflective
of the shape of the density.We apply the introduced scalar
field to several illustrative studies
of bonding effects in molecular systems. They include illustrations
of covalent bonds of varying nature, π-electron delocalization
and intermolecular interactions. We also use this approach to visualize
and quantify electronic implications of compactness in organic molecular
crystals. In particular, we analyze the relation between so understood
compactness and charge mobilities in a molecular crystal relevant
to the field of organic electronics.
Theory
Considering solid foundations and the remarkable success of density
functional theory, today there is very little doubt that electron
density contains all the useful information about electronic structure
of molecular systems. However, there are not many well established
methods to visualize bonding patterns in molecules, that are based
solely on electron density. The recently introduced single-exponential
decay detector[31,32,50] succeeds in revealing atomic shells, lone electron pairs and core
electrons. Moreover, SEDD-based atomic shell populations[50] stay in close quantitative agreement with the
Aufbau principle, which fixes the integer number of electrons in atomic
shells. Initially, SEDD was introduced as an arbitrary dimensionless
function of electron density, meant to discover single-exponential
regions of the density,where a square of a vector refers to a scalar
product. This convention is used throughout this work and the explicit
form of this equation and the following ones in terms of density derivatives
is given in the Supporting Information.
The idea behind SEDD was based on an Ansatz that, for localized electrons,
the density can be described locally by a single orbital, which decays
approximately exponentially from an arbitrary point. Later, a physical
interpretation was attributed to it in terms of the local wave vector k(r) = ((∇ρ(r))/(ρ(r)) and the homogeneous electron gas (HEG) reference system.[50] The properties of SEDD are such that it has
low values within localized electron shells, bonds, and lone pairs
and goes to infinity far from the molecule. For noncovalent intermolecular
interactions, a decrease in SEDD values was observed in the region
between two molecules;[31] so in principle,
it discerns strong at weak interactions simultaneously. Unfortunately,
SEDD suffers from relatively strong basis set dependence resulting
in numerical noise in low density regions. Therefore, analysis of
noncovalent interactions is difficult in practice. We propose a new
descriptor, which is also based on the idea of detecting single-exponential
parts of the density, however, exhibits a more regular behavior and
enables a simultaneous analysis of covalent and noncovalent interactions.For exponential densities, ρ(r) ∼ e–λ|, the term ξ(r) = ∇((∇ρ(r)/ρ(r))2/ρ(r))2 in eq 1 is proportional to η(r) = (∇k2(r)/(k3))2, where k(r) is
the local wave vector and k = (3π2ρ)1/3 is the Fermi
wave vector in the HEG model. Therefore, SEDD has low values where
the gradient of the squared local wavenumber is small compared to
the volume of the Fermi sphere. The square of the local wavenumber
can be intuitively related to the local kinetic energy per particle;
however, the latter is not a well-defined quantity.[54−57] The reference of HEG is employed
to obtain a dimensionless quantity, nevertheless, it is not the only
possibility. Another choice is to use self-reference and divide ▽k(r) by the proper power
of k(r) itself.
This leads to the following dimensionless quantityBoth, ξ(r) and θ(r) are equal
to 0 if ρ(r) is exactly single-exponential; however,
they have different properties for approximately exponential densities,
which can be found in molecular systems. In vicinity of nuclei, the
density behaves similar to e–2, where Z is the nuclear charge and rα is the position of a nucleus.[58] Therefore,
in these regions θ ≈ 0, as the nominator in eq 2 is approximately 0 and the denominator is a constant.
The same holds far from the molecule, where the single-exponential
decay is dictated by the ionization potential I:
ρ(r) ∼ e–2(2.[59]In bonding regions, the density is characterized by small
gradients,
in particular ▽ρ(r) = 0 at the bond critical
point (BCP). In this case, both, the nominator and the denominator
go to zero. Since the denominator decays to zero faster while approaching
the BCP, θ(r) → + ∞. This contrasting
behavior in the atomic core regions and at bonds shows that θ(r) cannot be treated as a localization function. Instead,
it is a renormalization of the density, allowing to distinguish its
character from geometrical properties and indicating bonding regions
wherever θ(r) → + ∞.Considering
that θ(r) is unbound from above,
it is not very convenient from the point of view of its visualization.
Therefore, we make use of the standard mapping to the [0,1] rangeNow, γ(r) is close to 1
in bonding regions and close to 0 at nuclei and far from the molecule.
The asymptotic behavior of γ(r) at nuclear positions,
BCPs and infinity was deduced from its analytic form. Nevertheless,
the performance in detecting bonding regions of realistic systems
has to be verified numerically.The role of γ is to probe
geometrical features of electron
density by measuring the deviations from single-exponentiality. This
idea is based on the fact that atomic densities are approximately
piecewise exponential,[60−62] whereas in the interaction regions they are not,
due to the overlap of two or more atomic densities. The same is true
for interactions between whole molecules as the molecular density
tails also decay exponentially. This is a different approach compared
to the majority of bonding descriptors, which aim at revealing where
electrons are localized. Therefore, it is instructive to show how
γ performs in practice for a model system representing an overlap
of two simple densities. To this end, we take a density which is a
sum of two displaced hydrogen densities, i.e. an H2 promolecule.Figure 1a shows such density ρ (blue
line) for a separation of 1.4 au between hydrogen atoms, which is
very close to the equilibrium bond length of the real H2 molecule. The decomposition of ρ into atomic contributions
is marked with green lines. It is evident that γ (purple line)
is 0 outside the bonding region, where the total density is strongly
dominated by the density of a single hydrogen. On the other hand,
within the bond, the curvature of ρ is dictated by the overlap
of two tails and γ > 0. In the bond midpoint, where the overlap
is the strongest, γ reaches its upper bound.
Figure 1
Density ρ(r) (blue)
and γ(r) (purple) for the H2 promolecule
at the internuclear
separation of (a) 1.4 au, (b) 10 au, (c) 10 au (close-up on low density
values). Densities of two constituting hydrogen atoms are in green.
An analogous
picture, but for a 10 au separation, is given in Figure 1b. Here, the two densities are very well separated
and their overlap is negligible on the scale of the density itself.
Nevertheless, γ gives a similar picture as for the strong overlap
case. Figure 1c shows the same density but
only up to a 1000 times smaller value. Now it is evident that γ
reveals strong atomic density overlap regions regardless of the magnitude
of the density, which means that strong and weak interactions are
treated on an equal footing. It has to be noted, that the overlap
region between two densities is discovered just by analyzing the shape
of the total density, without any a priori knowledge of how it was
constructed.Since the meaning of γ has been identified
as a detector
of strong relative density overlap regions, we propose a name Density
Overlap Regions Indicator (DORI), which will replace the γ symbol
from now on.
Computational Details
Electronic structure of the investigated molecules was calculated
with the ADF[63] package at the generalized
Kohn–Sham level of theory using B3LYP exchange-correlation
functional and the TZP basis set. Unless otherwise stated, geometries
were optimized at the same level. All presented properties, including
DORI, were calculated on a grid with a locally modified version of
DGrid program.[64] ParaView[65] was used to visualize the results.Patches to compute
DORI with DGrid[64] and NCIPLOT[46] programs are available
from the authors on request.
Typical Chemical Interactions
Intramolecular Interactions
The capability
of DORI to visualize typical bonding patterns is evaluated on a selection
of small molecular systems that are (a) H2, (b) O2, (c) N2, (d) F2, (e) CO, (f) CO2, (g) LiH, (h) B2H6, (i) C2H6, (j) C2H4, (k) C2H2, (l) C6H6. Figure 2 shows color-coded maps of DORI, where blue color corresponds to
DORI(r) ≈ 1 and the red DORI(r) ≈
0. The positions of nuclei and bonds are indicated explicitly only
when needed for the sake of clarity.
Figure 2
DORI representation of typical bonds in
a selection of molecular
systems: (a) H2, (b) O2, (c) N2,
(d) F2, (e) CO, (f) CO2, (g) LiH, (h) B2H6, (i) C2H6, (j) C2H4, (k) C2H2, (l) C6H6. Values in the range from 0 (red) to 1 (blue).
Density ρ(r) (blue)
and γ(r) (purple) for the H2 promolecule
at the internuclear
separation of (a) 1.4 au, (b) 10 au, (c) 10 au (close-up on low density
values). Densities of two constituting hydrogen atoms are in green.The hydrogen molecule (Figure 2a) is characterized
by the presence of a direct lenticular bond. This contrasts with the
picture given by bonding descriptors based on local Pauli repulsion
measures (e.g., ELF), which intrinsically cannot reveal any bonding
for a closed-shell two-electron system. The double bond in the triplet
oxygen O2 (Figure 2b) is described
by a basin of DORI values close to 1, which is located around the
bond midpoint. Around nuclei, DORI is close to zero, indicating the
position of localized 1s electrons. Outside localized
cores, the overlap region between core and valence electrons results
in high DORI values. Between these overlap regions and the bonding
region DORI ≈ 0.5. In contrast with ELF, the lone electron
pairs on oxygen atoms, which do not stem from the overlap of atomic
densities, are not explicitly revealed by DORI. N2 (Figure 2c) and F2 (Figure 2d) shows essentially the same features as O2 but with
larger (triple bond) and smaller (single bond) bonding regions, respectively.
The bonding region of N2 merges with core/valence overlap
domains, whereas in F2DORI falls to 0 in between the atomic
and bonding zones and exhibit a more discotic shape. This distinct
character of the DORI bonding domain in F2 is in line with
the fact that the F–F bond is one of the weakest of all covalent
bonds due to large electrostatic repulsion.[66]Unlike their contrasting Lewis structures, the DORI pictures
of
CO and CO2 (Figure 2e and f) are
very similar. The bonds merge with the carbon’s atomic region
that is bigger than that of the oxygen atoms. This results from a
larger spatial extent of core electrons density due to a smaller nuclear
charge. In case of an ionic LiH (Figure 2g),
the density on lithium is strongly polarized and forms a cavity inside
the interaction region between two atoms. The strong interaction region
is present not only between hydrogen and lithium, but also on the
other side of the latter atom. Figure 2h shows
the bonding pattern of B2H6. From the valence
perspective, diborane is an example of a three-center two-electron
bond, where hydrogen acts as a bridging atom. From the perspective
of DORI the bond results from a clash of atomic densities inside the
BHBH four-member ring. The interaction region is delocalized over
the four atoms, but still, one discerns a direct B–H bonding.The pictures of ethane, ethene, ethyne, and benzene are given in
Figures 2i–l. All these hydrocarbons
display direct C–C and C–H bonds. The shape of the single
C–C bond is lenticular, whereas multiple bonds become more
cylindrical. π bonds are not explicitly discernible as atomic
densities overlap strongly along the bond axis. In the case of benzene
(Figure 2l and 3a vide
infra), the delocalized bonding pattern, manifested in the lack of
bond alternation, is nevertheless clearly visible along with a steric
clash at the ring center. The latter feature, not captured by ELF,
demonstrates DORI’s ability to reveal noncovalent interactions
within molecule in addition to covalent bonds. In this context, the
π electronic structure of C4H4 is certainly
the most striking example. As emphasized by Schleyer and Politzer[67−69] the small 4π-electron annulene should be regarded as a unique
molecule rather than as the antiaromatic paradigm. Its uniqueness
arises from its ring strain and from the presence of two strongly
localized and dense π bonds in close proximity. Consideration
of isosurface of DORI calculated from the π electron density
(Figure 3b) perfectly illustrates the density
clash arising from this proximity. Removal of two electrons releases
the π localization constrain typical for antiaromatic systems
and restores the delocalized 4c–3e picture in D4 or even D2 C4H42+ (Figure 3c and d,
respectively). DORI provides a concrete evidence for the repulsive
π–π interaction (strong Pauli repulsion) between
parallel double bonds. The repulsion between the two localized double
bonds is also apparent in C5H5+ (Figure 3e) or
benzoquinone (Figure 3g) but to a lesser extent,
due to broader angles or larger distance between them. Akin to C4H42+, the delocalization pattern is also recovered in aromatic C5H5– (Figure 3f).
Figure 3
DORIπ = 0.7 isosurface for (a) benzene,
(b) C4H4, (c) C4H42+, (d) C4H42+ in the geometry
of C4H4, (e) C5H5+, (f) C5H5–, (g) 1,4-benzoquinone.
Intermolecular
Interactions
So far,
DORI was shown to reveal myriad bonding patterns as well as steric
clashes within molecules. However, the same tool can be used to untangle
the nature of intermolecular interactions. Since DORI identifies regions
of overlapping density, it does not directly carry information on
the strength of the interaction and does not distinguish between attraction
and repulsion. In line with the NCI index,[45] this limitation is resolved by combining the analysis of DORI with
that of the electron density Laplacian (▽2ρ).
The regions of noncovalent interactions are characterized by positive
values of the density Laplacian irrespective of their attractive or
repulsive nature. However, the decomposition of ▽2ρ into the sum of Hessian eigenvalues ▽2ρ
= λ1 + λ2 + λ3,
(λ1 ≤ λ2 ≤ λ3) provides a much clearer view. In particular, the second
eigenvalue λ2 < 0 is known to identify bonding
regions, while λ2 > 0 indicates nonbonding interactions.
Along with its sign, the magnitude of the interaction is estimated
from the values of the density itself; therefore, we use sgn(λ2)ρ(r) as a complementary scalar field (see
ref (45) for more details).
A valuable alternative for characterizing the interactions would be
to use eigenvalues of the stress tensor[70−74] instead of the electron density Hessian. However,
calculating the stress tensor is more computationally demanding and
requires knowledge of the one-particle reduced density matrix. Since
we aim at a solely density-based analysis, we do not exploit this
possibility in the current work.DORI representation of typical bonds in
a selection of molecular
systems: (a) H2, (b) O2, (c) N2,
(d) F2, (e) CO, (f) CO2, (g) LiH, (h) B2H6, (i) C2H6, (j) C2H4, (k) C2H2, (l) C6H6. Values in the range from 0 (red) to 1 (blue).DORIπ = 0.7 isosurface for (a) benzene,
(b) C4H4, (c) C4H42+, (d) C4H42+ in the geometry
of C4H4, (e) C5H5+, (f) C5H5–, (g) 1,4-benzoquinone.The DORI capability of depicting
intermolecular interactions is
demonstrated on a series of typical noncovalently bound dimers taken
from the S22 set,[75] which enable a direct
comparison with the NCI index (Supporting Information to ref (45)). Figure 4 shows DORI = 0.9 isosurfaces for the selected dimers
with color-coded values of sgn(λ2)ρ(r). As both NCI and DORI probe the shape of
the density, the character and magnitude of the noncovalent interactions
are captured in a similar manner by their isosurfaces and sgn(λ2)ρ(r). It is evident
that DORI reveals all sorts of intermolecular interactions going from
hydrogen bonds, pure dispersion interactions to steric clashes. However,
what clearly distinguishes DORI is that covalent bonds and the core/valence
interface of the constituent atoms are also visible in the same [0-1]
range without imposing any arbitrary thresholds on the electron density.
All in all, DORI offers a coherent and comprehensive description of
all the chemically relevant interactions present in complex molecular
systems.
Figure 4
DORI
= 0.9 isosurfaces for (a) water dimer, (b) ammonia dimer,
(c) methane dimer, (d) formic acid dimer, (e) π-stacked benzene
dimer, (f) T-shaped benzene dimer, (g) π-stacked adenine–thymine,
(h) hydrogen bonded adenine–thymine. Isosurfaces are color-coded
with sgn(λ2)ρ(r) in the range from −0.02 au (red) to 0.02 au (blue).
The interaction regions are detected based on the geometrical
deformation
of the electron density, discovering where densities of different
entities clash in a molecular complex. As a result, π-stacking
interactions (e.g., Figure 4e) will typically
display larger intermolecular DORI domains than the more localized
H-bonds or edge-to-face interactions (e.g., Figure 4f and h). To better understand this size variation, it is
instructive to determine how does DORI relate to the shape of the
density isocontours and how does the size of DORI domains depend on
the distance between interacting species. Figure 5 shows two-dimensional color-coded maps with superimposed
electron density isocontours for a water dimer at five intermolecular
distances taken from the S22 × 5 set.[76]
Figure 5
DORI maps with superimposed
electron density isocontours (white
lines) for water dimer at (a) 90%, (b) 100%, (c) 120%, (d) 150%, (e)
200% of the equilibrium bond length. Isovalues for density contours
are on logarithmic scale. Values in the range from 0 (red) to 1 (blue).
DORI
= 0.9 isosurfaces for (a) water dimer, (b) ammonia dimer,
(c) methane dimer, (d) formic acid dimer, (e) π-stacked benzene
dimer, (f) T-shaped benzene dimer, (g) π-stacked adenine–thymine,
(h) hydrogen bonded adenine–thymine. Isosurfaces are color-coded
with sgn(λ2)ρ(r) in the range from −0.02 au (red) to 0.02 au (blue).The density isocontours can be
divided into two categories: those
encompassing only one water molecule and those encompassing the whole
dimer. The interacting region (shown in blue/green) coincides with
the one where the density isosurfaces of individual molecules collide
and merge into a single isosurface. This contact region is characterized
by a stronger curvature of isocontours, which is a result of the overlap
of densities attributed to distinct molecules. At 90% of the water
dimer equilibrium hydrogen bond length (Figure 5a), DORI identifies the region where the density isocontours distort
due to the interactions.At larger bond distances (Figures 5b–e),
the merging between the water molecules occurs with contours of lower
isovalues, which results in larger contact area. This means that for
a given system, the volume of a DORI domain increases with decreasing
the interaction strength. From another perspective, DORI identifies
where the molecular densities merge into a strongly overlapping supermolecular
density irrespective of how large this density is. One should remind,
however, that the magnitude and sign of the interactions can be brought
by the analysis of sgn(λ2)ρ(r). For the largest distance (Figure 5e), the interaction region splits into two domains due to a numerical
artifact, stemming from the finite atomic orbital basis set expansion,
which is know to have a nonphysical behavior at density tails.[77]
Illustrative Applications
Propellanes
DORI is evidently capable
of probing covalent bonds and noncovalent interactions, but how does
it perform for cases where the existence of a bond is ambiguous? Propellanes
are good examples of such situations. The character of the so-called
inverted C–C bond between bridgehead carbon atoms has been
investigated with various methodologies,[27,78−86] including analysis of experimental densities.[87,88] The general agreement is that this bridgehead bond exhibits some
degree of covalency in small propellanes although the pure covalent
bond is only achieved in [2.2.2]-propellane. The conceptual explanations
for the peculiar nature of the bond in the smallest [1.1.1]-propellane
are specific to the employed method. For instance, the valence bond
(VB) analysis[85,86] uses the “charge-shift”
bond terminology due to a dominant energy contribution coming from
the covalent-ionic resonance structures. On the other hand, the analysis
of the deformation density and entropy displacement[83] leads to an interpretation in terms of “through-bridge”
interaction, whereas “through-space” interactions are
considered as more important in larger propellanes. This incoherent
description and terminology results in an apparent controversy in
the interpretation of the nature of the central bond.DORI maps with superimposed
electron density isocontours (white
lines) for water dimer at (a) 90%, (b) 100%, (c) 120%, (d) 150%, (e)
200% of the equilibrium bond length. Isovalues for density contours
are on logarithmic scale. Values in the range from 0 (red) to 1 (blue).The unusual character of the inverted
bond in [1.1.1]-propellane
can be traced back to the unique properties of cyclopropane. The smallest
cycloalkane has a Baeyer strain far lower than expected based simply
on angle deformation.[89] This unexpected
stability was originally attributed to σ-aromaticity,[90] although most recent interpretations re-emphasize
alternative electronic effects such as rehybridization and strong
geminal hyperconjugation (see refs (16, 91, and 92)). While the strain affects mostly
the energy, electronic effects manifest themselves in qualitative
properties of the wave function and the density. It is therefore not
surprising that three fused cyclopropane rings with a relatively short
inverted bridgehead–bridgehead bond (ca. 1.60 Å[93]) such as in [1.1.1]-propellane may results in
exceptional type of interactions. DORI is specifically devised to
reveal information on electron density overlaps and is hence well
suited to analyze the interacting region. In contrast to the deformation
densities, DORI is achieved without referring to promolecular densities.Figure 6 shows color-coded maps for [1.1.1]-,
[2.1.1]-, [2.2.1]-, and [2.2.2]-propellanes. Each cut-plane contains
one of the three rings of a given propellane. The planes for both
the three- and four-membered rings are represented for [2.1.1]- and
[2.2.1]-propellanes. In [1.1.1]-propellane, the interaction between
bridgehead carbons is clearly different from the other covalent C–C
bonds (Figure 6a). The bonding region does
not connect the two carbons directly but merges with the two other
bonds through the ring center. The feature occurs for all the three-membered
rings as well as for the four-membered rings of [2.1.1]-propellane
(Figure 6b,c). In contrast, the bridgehead
C–C bonds of the four-membered rings in the larger [2.2.1]
and [2,2,2] polycyclic analogues are separated from the DORI domain
at the ring center akin to rest of the bonds.
Figure 6
DORI maps for (a) [1.1.1]-propellane, (b) [2.1.1]-propellane
(three-carbon
ring plane), (c) [2.1.1]-propellane (four-carbon ring plane), (d)
[2.2.1]-propellane (three-carbon ring plane), (e) [2.2.1]-propellane
(four-carbon ring plane), (f) [2.2.2]-propellane. Values in the range
from 0 (red) to 1 (blue).
The DORI isosurfaces
given in Figure 7 help
connecting the local character of the central bond with the overall
bonding pattern of the same propellane series. They reveal a bonding
domain delocalized among the three rings in the smallest system, which
contrasts with [2.2.2]-propellane that shows 2c-2e covalent bonds
only. [2.1.1]- and [2.2.1]-propellanes represent intermediate situations
in which the 2c–2e bonding pattern is gradually strengthened
through the substitution of a three- by a four-membered ring. The
consideration of the combined DORI-Laplacian analysis (Figure 8) further amplifies and clarifies this contrast
between the large and small polycyclic systems: the interaction between
bridgehead atoms in [1.1.1]- and [2.1.1]-propellanes (Figures 8a, b) is noncovalent (blue, ▽2ρ(r) > 0), whereas, the red ▽2ρ(r) < 0 zone in [2.2.2]-propellane indicates
covalence (Figure 8d). In line with other investigations,
the DORI analysis distinguishes between the classical 2c-2e C–C
bond between bridgehead carbon atoms of large propellane and the atypical
noncovalent interactions characteristics of [1.1.1]-propellane. It
is important to stress that the seemingly delocalized pattern of the
latter is not reflective of a three-dimensional σ- delocalization
but rather of a noncovalent interaction resembling a steric clash
imposed by the small triangular framework.
Figure 7
DORI = 0.9 isosurfaces for (a) [1.1.1]-propellane, (b) [2.1.1]-propellane,
(c) [2.2.1]-propellane, (d) [2.2.2]-propellane.
Figure 8
DORI = 0.995 isosurfaces for (a) [1.1.1]-propellane, (b) [2.1.1]-propellane,
(c) [2.2.1]-propellane, (d) [2.2.2]-propellane, with color-coded ▽2ρ(r) in the range from −0.1 au (red)
to 0.1 au (blue).
Compactness
in Supramolecular Chemistry: Quaterthiophene
Derivatives Case
Noncovalent interactions govern various
structural and energetic phenomena in biology, chemistry, and materials
science. A highly relevant example is the performance of organic electronic
devices, which depends strongly on the supramolecular organization
of the π-conjugated units. On this basis, we now push applications
of DORI one step forward and draw a quantitative relationship between
the mutual arrangement of oligothiophene derivatives in the condensed
phase and charge mobility.DORI maps for (a) [1.1.1]-propellane, (b) [2.1.1]-propellane
(three-carbon
ring plane), (c) [2.1.1]-propellane (four-carbon ring plane), (d)
[2.2.1]-propellane (three-carbon ring plane), (e) [2.2.1]-propellane
(four-carbon ring plane), (f) [2.2.2]-propellane. Values in the range
from 0 (red) to 1 (blue).DORI = 0.9 isosurfaces for (a) [1.1.1]-propellane, (b) [2.1.1]-propellane,
(c) [2.2.1]-propellane, (d) [2.2.2]-propellane.DORI = 0.995 isosurfaces for (a) [1.1.1]-propellane, (b) [2.1.1]-propellane,
(c) [2.2.1]-propellane, (d) [2.2.2]-propellane, with color-coded ▽2ρ(r) in the range from −0.1 au (red)
to 0.1 au (blue).Charge transport in organic
semiconductors relies upon numerous
factors, including nuclear dynamics and reorganization energy with
the main prerequisite being a large π-electron overlap.[94] A practical means to enhance charge carrier
mobility is to design molecular crystals in which constituent units
are more densely packed.[95] This compactness
paradigm is driven by the relationship between increased molecular
compactness and electronic coupling.While compactness is easily
defined in terms of unit cell size
or more generally, in terms of atom pairwise distances, its electronic
implication is not as straightforward. Surely, more compact materials
exhibit larger overlap of electron densities but there is no unique
way to quantify, visualize and validate this assumption. Since the
electron overlap is the major factor influencing semiconducting properties,
it would be useful to exploit DORI as a direct measure of “electronic
compactness”.A well-suited application is to compare
the compactness of bare
quaterthiophene molecules in a unit cell with that of quaterthiophene
substituted with terminal hydrogen-bonded side groups. As recently
demonstrated,[96] the realization of unprecedented
motifs that include terminal acetamide functions offers the possibility
of intermolecular NH···O=Chydrogen-bonding.
The hydrogen-bonded acetamides provide an ideal way to guide crystallization
and improve the performance of π-type organic semiconductors
through the reinforcement of π- stacking and edge-to-face interactions.
The crystalline quaterthiophene diacetamide is believed to exhibit
denser packing compared to bare quaterthiophene crystal structure.
In fact, the reported volume of a quaterthiophene diacetamide unit
cell is 291 Å3, which is noticeably smaller than for
α-quaterthiophene (307 Å3), α,ω-dimethylquaterthiophene
(297 Å3) and α,ω-dihexylquaterthiophene
(307 Å3). It was proven experimentally that the apparent
denser atomic packing results in enhanced field-effect mobility.Thus, DORI will serve to visualize and compare the strength of
the electron density overlap between neighboring molecules in individual
crystals. DORI was computed for all nearest-neighbor dimers in a unit
cell of quaterthiophene diacetamide, α-quaterthiophene, α,ω-dimethylquaterthiophene,
and α,ω-dihexylquaterthiophene. Since, the charge transport
properties depend upon the coupling of π-electrons between the
thiophene moieties, the side chains were replaced by hydrogen atoms
in order to ensure that only the overlap between quaterhiophene cores’
densities was probed. The X-ray structures were taken from ref (96), and the positions of
the hydrogen atoms were optimized computationally for a single unit
cell. Figure 9a displays a unit cell of the
quaterthiophene diacetamide without the terminal chains. The molecular
labeling is used consistently for all the quaterthiophene derivatives.
Note that the only important structural difference between the investigated
crystals is the symmetry breaking occurring in the presence of hydrogen
bonds, which results in symmetry distinct (1–7, 6–9)
and (1–9, 8–9) dimer pairs in quatertiophene diacetamide.
The latter crystallizes in the triclinic P-1 instead of monoclinic
or orthorhombic space group.
Figure 9
(a) Structure of a unit cell of the quatertiophene diacetamide;
DORI = 0.9 isosurfaces for (b) 1–9, (c) 6–9, α-quaterthiophene
dimer, and (d) 1–9, e) 6–9, quaterthiophene diacetamide
dimer. Isosurfaces are color-coded with sgn(λ2)ρ(r) in the range from −0.01 au
(red) to 0.01 au (blue).
Figures 9b–e display DORI = 0.9 isosurfaces
for 1–9 and 6–9 dimers of α-quatherthiophene and
quaterthiophene diacetamide. Color-coded sgn(λ2)ρ(r) is visible on the surfaces. For each
of the dimers, DORI visualizes four types of interactions: covalent
bonds, steric clashes at the thiophene ring centers, intramolecular
noncovalent interactions between the sulfur and hydrogen atoms and
the intermolecular interactions between the quaterthiophene units,
which are most relevant to the present purpose. A clear manifestation
of electronic compactness is that the DORI domains associated with
intermolecular interactions are affected by the mutual arrangement
of the aromatic cores. Even though the changes are subtle, a close
inspection reveals that the domains become more elongated in quaterthiophenediacetamide. Furthermore, due to the shorter intermolecular distances,
a larger number of sulfur–hydrogen domains merge with those
arising from intermolecular interactions at the chosen isovalue. Finally,
the enhanced compactness of the diacetamide-containing crystal is
also noticeable by the more intense coloring of the respective DORI
isosurfaces.These visual indicators are a direct consequence
of a stronger
density overlap. However, the electronic overlap between quaterthiophene
units can be placed on a more quantitative ground by exploiting the
intermolecular regions identified by DORI. The integral of the density
over this interaction region gives the number of overlapping electrons.
Obviously, the choice of the isovalue for the surface enclosing the
integration volume is arbitrary, but for a fixed and carefully chosen
value the overlap between analogous dimers in the crystal lattice
can be directly compared. Since the intermolecular interaction region
may merge with other domains representing intramolecular interactions,
the isovalue should be either large enough to fully disconnect the
distinct domains or relatively small to account for the same interactions
in all the systems. We have investigated both options, setting the
isovalues to DORI = 0.8 and DORI = 0.95, which fulfilled the above-mentioned
conditions.(a) Structure of a unit cell of the quatertiophene diacetamide;
DORI = 0.9 isosurfaces for (b) 1–9, (c) 6–9, α-quaterthiophene
dimer, and (d) 1–9, e) 6–9, quaterthiophene diacetamide
dimer. Isosurfaces are color-coded with sgn(λ2)ρ(r) in the range from −0.01 au
(red) to 0.01 au (blue).We define a DORI-based compactness index for the systems
under
investigation as an integral of the electron density over the intermolecular
interaction region determined by a DORI isosurfaceThis concept is general and
can serve to quantify overlap effects
between any two fragments as long as the isovalue is chosen in a way
that produces well-separated domains. It is important to stress that
the DORI-based compactness carries different information than the
volume of a unit cell, which, unlike the present index, also reflects
the volume of the terminal chains.The computed integrals are
given in Tables 1 and 2. For the quaterthiophene diacetamide,
they are consistently larger than those of other quaterthiophenes,
irrespective of the chosen isovalue and of the dimer considered. This
strongly indicates that insertion of hydrogen-bonded substituents
leads to enhanced density overlap that is at the origin of the measured
increased field-effect mobility. More subtle effects such as the symmetry
breaking expected for the dimer pairs (1–9, 8–9) and
(6–9, 1–7) or the relative ordering of the three other
quatertiophene crystals are difficult to capture and, consequently,
rely more upon the chosen DORI isovalue. The consideration of two
distinct isovalues is thus generally recommended but one expects that
meaningful differences in density overlap should lead to robust trends
independent of the chosen isovalue.
Table 1
Electron Density
Integrals Over VintDORI=0.8 Intermolecular Interaction Domains
system
dimer 1–9
dimer 8–9
dimer 6–9
dimer 1–7
α-quaterthiophene
1.07
1.07
0.78
0.78
α,ω-dimethylquaterthiophene
1.12
1.12
0.80
0.80
α,ω-dihexylquaterthiophene
1.03
1.03
0.77
0.77
quaterthiophene diacetamide
1.31
1.31
0.85
0.84
Table 2
Electron Density
Integrals Over VintDORI=0.95 Intermolecular Interaction Domains
system
dimer 1–9
dimer 8–9
dimer 6–9
dimer 1–7
α-quaterthiophene
0.20
0.20
0.12
0.12
α,ω-dimethylquaterthiophene
0.23
0.23
0.13
0.13
α,ω-dihexylquaterthiophene
0.23
0.23
0.12
0.12
quaterthiophene diacetamide
0.26
0.24
0.18
0.21
Conclusions
In this work, we introduced a density-dependent scalar field designed
to simultaneously identify covalent and noncovalent interactions in
molecular systems. The proposed quantity, DORI, is a modification
of a previously introduced SEDD detector,[31,32,50] which uses a different reference to obtain
the dimensionless quantity. This modification results in appealing
properties enabling the use of DORI as a universal indicator of intra-
and intermolecular interactions.DORI carries information about
regions in space where the total
density arises from a strong overlap of individual atomic or molecular
densities. As such, it should be seen as a scalar field discovering
particular geometrical features of the density, which can be rationalized
in terms of local wavenumber. The analytical properties ensure that
DORI is a versatile tool to study bonding patterns and to visualize
myriad intra- and intermolecular interactions, understood as regions
of large density deformations. The combination of DORI with the analysis
of the quantity sgn(λ2)ρ(r) allows for further differentiations between bonding and
nonbonding interactions and for an estimate of their magnitude.The utility of DORI was illustrated on various intramolecular phenomena
involving visualization of covalent bonding patterns, steric clashes
as well as of typical noncovalent interactions occurring between and
within molecules. The analysis has also been exploited to visualize
and quantify the concept of electronic compactness in supramolecular
chemistry. Our approach can probe compactness not in terms of nuclear
arrangement but rather in terms of overlap of electron densities.
The capability of the index was demonstrated on a quaterthiophene
derivative designed to crystallize in denser packing environment and
exhibit better charge transport properties.Several attractive
features distinguish DORI from other bonding
detectors. First the introduced scalar field depends only on the electron
density; thus, it is well-defined at any level of theory. In particular,
the DORI analysis is easily applicable to densities obtained from
post-Hartree–Fock methods, orbital-free approaches as well
as to experimental densities. Second, the values of the descriptor
are system-independent. Due to the effective [0-1] mapping,
bonding patterns and noncovalent interactions can simultaneously be
visualized on equal footing for every system. Finally, the ability
of DORI to reveal the local character of electron density is also
a promising prerequisite for its use in the development of approximate
density functionals.
Authors: Julia Contreras-García; Erin R Johnson; Shahar Keinan; Robin Chaudret; Jean-Philip Piquemal; David N Beratan; Weitao Yang Journal: J Chem Theory Comput Date: 2011-03-08 Impact factor: 6.006
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