Ahmet Altun1, Masaaki Saitow2, Frank Neese1, Giovanni Bistoni1. 1. Max-Planck-Institut für Kohlenforschung , Kaiser-Wilhelm-Platz 1 , D-45470 Mülheim an der Ruhr , Germany. 2. Department of Chemistry, Graduate School of Science , Nagoya University , 1-5 Chikusa-ku , 464-8602 Nagoya , Japan.
Abstract
Local energy decomposition (LED) analysis decomposes the interaction energy between two fragments calculated at the domain-based local pair natural orbital CCSD(T) (DLPNO-CCSD(T)) level of theory into a series of chemically meaningful contributions and has found widespread applications in the study of noncovalent interactions. Herein, an extension of this scheme that allows for the analysis of interaction energies of open-shell molecular systems calculated at the UHF-DLPNO-CCSD(T) level is presented. The new scheme is illustrated through applications to the CH2···X (X = He, Ne, Ar, Kr, and water) and heme···CO interactions in the low-lying singlet and triplet spin states. The results are used to discuss the mechanism that governs the change in the singlet-triplet energy gap of methylene and heme upon adduct formation.
Local energy decomposition (LED) analysis decomposes the interaction energy between two fragments calculated at the domain-based local pair natural orbital CCSD(T) (DLPNO-CCSD(T)) level of theory into a series of chemically meaningful contributions and has found widespread applications in the study of noncovalent interactions. Herein, an extension of this scChemical">heme that allows for the analysis of interaction energies of open-shell molecular systems calculated at the UHF-DLPNO-CCSD(T) level is presented. The new sc<Chemical">span class="Chemical">heme is illustrated through applications to the CH2···X (X = He, Ne, Ar, Kr, and water) and heme···CO interactions in the low-lying singlet and triplet spin states. The results are used to discuss the mechanism that governs the change in the singlet-triplet energy gap of methylene and heme upon adduct formation.
Weak
intermolecular interactions play a major role in virtually
all areas of chemical research.[1−6] Perturbative and supermolecular approaches can be used to evaluate
weak interaction energies between two or more fragments. Within a
perturbative approach the Hamiltonian is partitioned into contributions
of noninteracting fragment terms plus a series of perturbing potentials
representing the interaction between the fragments. The most popular
approach of this type is the symmetry-adapted perturbation theory
(SAPT), which also provides a decomposition of the interaction energy
into a series of physically meaningful contributions, including electrostatics,
induction, London dispersion, and exchange-repulsion terms.[7] Although these interaction energy components
have no unique definition, their quantification has been instrumental
for the rationalization of the underlying mechanism that gives rise
to the interaction.[8]Within a supermolecular
approach, the interaction energy is computed
as the difChemical">ference between the total energy of the adduct and the energy
of the separated monomers. The decomposition of the resulting interaction
energy into physical terms is then obtained via energy decomposition
analysis (<Chemical">span class="Chemical">EDA) schemes, which are mainly based on a seminal work of
Morokuma.[9] In these schemes the interaction
energy is typically partitioned into electrostatics, charge transfer
and/or polarization, and Pauli repulsion (also called exchange-repulsion)
terms.[10−14]
The large majority of Chemical">EDA sc<Chemical">span class="Chemical">hemes applied in mainstream computational
chemistry relies on density functional theory (DFT) for the calculation
of interaction energies. Hence, the range of applicability of such
schemes is limited by the accuracy of the chosen functional. This
is especially limiting in the context of noncovalent interactions,
as DFT does not properly describe London dispersion. Although several
strategies have been suggested[15−19] in order to practically deal with this shortcoming, a quantitative
understanding of weak interactions typically requires the use of highly
correlated wave function-based ab initio methods in conjunction with
large basis sets.[8,20−23]
In particular, the coupled-cluster
method with single, double,
and perturbative treatment of triple excitations, i.e., CCSD(T),[22,24] has proven its reliability in a wide range of contexts and typically
allows one to compute relative energies with chemical accuracy (defined
here as 1 kcal/mol). Unfortunately, the computational cost of CCSD(T)
increases as the seventh power of the molecular size. Hence, the calculation
of CCSD(T) energies is only possible for benchmark studies involving
relatively small systems. To overcome this limitation, the domain-based
local pair natural orbital CCSD(T) method, i.e., DLPNO-CCSD(T), was
developed.[25−34] This technique typically retains the accuracy and reliability of
CCSD(T), as shown on many benchmark data sets,[34−37] while allowing at the same time
for the calculation of single-point energies for systems with thousands
of basis functions.In order to aid in the interpretation of
DLPNO-CCSD(T) results,
we recently introduced an Chemical">EDA approach called local energy decomposition
(LED).[38] In this sc<Chemical">span class="Chemical">heme, the interaction
energy between two or more fragments is calculated at the DLPNO-CCSD(T)
level and is then decomposed into a repulsive intramolecular energy
term called electronic preparation, plus a series of intermolecular
energy terms such as electrostatic, quantum mechanical exchange, and
London dispersion interactions.[38] This
scheme has been already applied in the context of H-bond interactions,[38,39] frustrated Lewis pairs,[40] agostic interactions,[41] and the interactions in dipnictenes.[42] Quantitative comparisons of the terms of LED
and SAPT have been also reported.[38,39]
Herein,
we present an extension of the LED scChemical">heme to open-shell
systems in the framework of the DLPNO-CCSD(T) method. The present
developments were made accessible through the recent ORCA 4.1 program
release.[43,44] This opens an unprecedented opportunity
for understanding and thus controlling a wide range of chemical and
biological processes, eChemical">specially in view of the limited number of
previously developed <Chemical">span class="Chemical">EDA and SAPT approaches for open-shell molecular
systems.[45−52] The new scheme is used to investigate the mechanism that governs
the change in the singlet–triplet energy gap (ES–T) of carbenes upon their noncovalent interactions
with various chemical species and of heme upon CO binding. The systems
studied are as shown in Figure .
Figure 1
Investigated CH2···X and PFe···CO
adducts and the associated equilibrium intermolecular distances obtained
at the DLPNO-CCSD(T)/TightPNO/aug-cc-pVTZ and B3LYP-D3/def2-TZVP levels,
respectively.
Investigated CH2···X and PChemical">Fe···CO
adducts and the associated equilibrium intermolecular distances obtained
at the DLPNO-CCSD(T)/TightPNO/aug-cc-pVTZ and B3LYP-D3/def2-TZVP levels,
reChemical">spectively.
Chemical">Carbenes are highly reactive
neutral divalent molecules that exist
in triplet and <Chemical">span class="Chemical">singlet spin states.[53−62] The singlet and triplet states of carbenes yield different reaction
products. For example, the simplest carbene CH2 (methylene),
being one of the most reactive molecules, undergoes stereospecific
reactions in the singlet state and stereoselective reactions in the
triplet state.[55−62] Although many carbenes have a triplet ground state in the gas phase,
the singlet state is typically stabilized significantly in several
solvents, causing an equilibrium between the two spin states or even
leading to a singlet ground state.[55−62]
Herein, the presently introduced open-shell variant of the
DLPNO-CCSD(T)/LED
scChemical">heme is applied to a series of prototypical molecular systems (Figure ) of the type CH2···X, in which methylene (in both its <Chemical">span class="Chemical">singlet 1CH2 and its triplet 3CH2 spin
states) interacts through noncovalent interactions either with water
or with rare gases (Rg = He, Ne, Ar, and Kr). The variation in the ES–T of methylene upon adduct formation
is discussed in terms of the 1CH2···X
and 3CH2···X interaction energy
components extracted from the LED scheme.
The other illustrative
case study discussed here involves Chemical">heme,
which is an <Chemical">span class="Chemical">iron-coordinated porphyrin (P) derivative that is essential
for the function of all aerobic cells.[63] It serves as a chromophore for many proteins including hemoglobin,
myoglobin, and cytochromes, and thus regulates diverse biological
functions.[64,65]
Chemical">Heme owes its functional
diversity in the protein matrix to its
dif<Chemical">span class="Chemical">fering side chain environments, bound axial ligands and their environments,
coordination number, and oxidation and spin states of the iron center.[65] In particular, the binding and dissociation
reactions of CO to the ferrous heme in the protein matrix have significant
impacts on its role in respiration and regulation processes.[66] Experimentally, it is known that ferrous iron-coordinated
porphyrin (PFe, also denoted hereafter as free heme) derivatives and
their CO-bound PFe···CO analogs have triplet and singlet
ground states, respectively.[67−70] Thus, the CO binding reverses the spin-state ordering
of heme derivatives. However, the chemical mechanism behind this experimental
observation is not clear.
Herein, the LED scChemical">heme is used to
provide a first insight into
the factors contributing to the stabilization of the lowest-lying
<Chemical">span class="Chemical">singlet state (1A1g) and two close-lying lowest-energy
triplets (3Eg and 3A2g) of PFe (see Scheme ) upon CO binding, i.e., the PFe(1A1g/3Eg/3A2g)···CO
interactions. As seen in Scheme , the 1A1g singlet has an electronic
configuration of (dx)2(d)2(d)2(dz)0(d)0 while the 3A2g and 3Eg triplets have the (d)2(d)2(d)1(d)1(d)0 and (d)2(d)2(d)1(d)1(d)0 configurations, respectively.
Scheme 1
Simple Schematic
Representation of the Singlet and Low-Lying Triplet
Electronic Configurations of PFe and PFe···CO
One of the degenerate pair
of 3Eg configurations is shown. The other configuration
is clearly (d)2(d)1(d)2(d)1(d)0.
Simple Schematic
Representation of the Singlet and Low-Lying Triplet
Electronic Configurations of PFe and PFe···CO
One of the degenerate pair
of Chemical">3Eg configurations is shown. The other configuration
is clearly (d)2(d)1(d)2(d)1(d)0.
As a prototype case
study, we focus on the bare porhyrin that has
no peripheral or other axial substituents (see Figure ). It should be emphasized here that spin-state
ordering of <Chemical">span class="Chemical">heme species is dependent on such substituents as well
as on their surrounding media.[71] For example,
if a single imidazole ligand is bound to the free heme rather than
CO then the quintet state becomes the ground state both in the solid
phase and in protein matrices.[72] A thorough
analysis of the role of different substituents and surrounding media
on the singlet–triplet energy gap of heme species would require
an extensive systematic study, which is beyond the scope of this study.
The paper is organized as follows. In section the theory of the open-shell LED scChemical">heme
is given, while computational details are reported in section . In section , the ES–T <Chemical">span class="Chemical">singlet–triplet energy gap of methylene, heme, and their
investigated adducts is reported at the DLPNO-CCSD(T) level. Then
in the framework of the presently introduced open-shell DLPNO-CCSD(T)/LED
method, the variations in ES–T of
methylene and heme upon the formation of the adducts are discussed
in terms of the corresponding LED interaction energy components for
the low-lying singlet and triplet states. The dependence of the results
on the various technical aspects of the calculations is discussed
in the Supporting Information (Tables S2–S13).
The distance dependence of the open-shell LED terms is discussed in section for the PFe(1A1g/3A2g/3Eg)···CO interaction and given in Figure S1 for the CH2···H2O interaction. The last section of the paper is devoted to
discussion of the results and concluding remarks of the study.
Theory
Theoretical Background
The theory
and implementation of the DLPNO-CCSD(T) method in both its closed-shell
and its open-shell variants have been described in detail in a series
of recent publications.[25−34,38,73,74] We thus only recall here the energy expression
for the open-shell DLPNO-CCSD(T) method, which is decomposed in the
present variant of the LED scChemical">heme.
The total DLPNO-CCSD(T) energy
can be expressed as a sum of reChemical">ference and correlation energies E = Eref + EC. In the closed-shell variant of DLPNO-CCSD(T), the re<Chemical">span class="Chemical">ference
determinant is typically the Hartree–Fock (HF) determinant,
and hence, Eref corresponds to the HF
energy. In the open-shell variant, Eref is the energy of a high-spin open-shell single determinantal function,
consisting of a single set of molecular orbitals. The energy of such
a determinant can be expressed aswhere i and j are the occupied orbitals of the
reference determinant, n and n denote
the occupation numbers
(1 or 0) for α and β electrons, respectively, n = n + n; (ii|jj) and (ij|ij) are two electrons
integrals in Mulliken notation, and Z (Z) is the nuclear charge of atom A (B) at position ().
The DLPNO-CCSD(T) correlation energy can be written essentially
as a sum of electron-pair correlation energy (ε, where i and j denote the localized orbitals) contributions plus the perturbative
triples correction (EC–(T)). Local
second-order many-body perturbation theory is used to divide the ε terms into “weak pairs”,
with an expected negligible contribution to the correlation energy,
and “strong pairs”. The contribution coming from the
weak pairs is kept at the second-order level, whereas the strong pairs
are treated at the coupled cluster level. Hence, the overall correlation
energy readswhere EC–SP denotes the energy contribution
from the strong pairs, EC–WP is
the correlation contribution from the weak
pairs, and the last term is associated with the perturbative triples
correction EC–(T).The dominant
strong pair contribution readswhere the indices with an overbar denote β
spin–orbitals and those without overbar are used for α
<Chemical">span class="Gene">spin–orbitals. The first two terms represent the contribution
from the single excitations (a, the singles PNOs; t, the singles amplitudes).
These terms vanish if the Brillouin’s theorem is satisfied.[73] This is not generally the case when the quasi-restricted
orbitals (QROs)[75] or restricted open-shell
HF (ROHF) determinant is used, the former of which is the standard
choice in open-shell DLPNO-CCSD(T) calculations.[73] The ε, and terms
denote α–α, β–β,
and α–β pair correlation energies, defined aswhere a and b are the
PNOs belonging to the ij pair, (ia | jb) are the two-electrons integrals, τ = t + tt – tt and are the cluster amplitudes in the PNO basis,
and t, t, t are the
doubles and singles amplitudes of the coupled cluster equations.
Open-Shell Variant of the Local Energy Decomposition
Within a supermolecular approach, the energy of a molecular adduct
XY relative to the total energies of noninteracting fragments X and
Y, i.e, the binding energy of the fragments (ΔE), can be written aswhere ΔEgeo-prep is the geometric preparation energy needed
to distort the fragments
X and Y from their structures at infinite separation to their in-adduct
geometry. ΔEint is the interaction
energy between the fragments X and Y frozen in the geometry they have
in the adduct XY, which is defined aswhere EXY is energy
of the XY adduct while EX (EY) is the energy of the isolated X (Y) fragment frozen
at the same geometry as that in the adduct. ΔEint can be decomposed into a reChemical">ference contribution ΔEintref (i.e., the contribution to the interaction energy from the QRO determinant
in the open shell case) and a correlation contribution ΔEintC
In the DLPNO-CCSD(T) framework, the
orbitals of the reChemical">ference determinant are initially localized. Hence,
each orbital can be usually assigned to the fragment where it is dominantly
localized. By exploiting the localization of the occupied orbitals,
it is possible to regroup the terms of the re<Chemical">span class="Chemical">ference energy of the
XY adduct ErefXY (eq ) into intra- and intermolecular contributions in exactly
the same way as it was described for the closed-shell case[38,40]
The intermolecular
reChemical">ference energy can be further partitioned
into electrostatic (Eelstat) and exchange
(Eexch) interactions. Accordingly, the
ΔEintref term can be written as
The electronic
preparation energy ΔEel-prepref is positive and thus repulsive. It
corresponds to the energy needed
to bring the electronic structures of the isolated fragments into
the one that is optimal for the interaction. Eelstat and Eexch are the electrostatic
and exchange interactions between the interacting fragments, respectively
(note that the “ref” superscript in these terms is omitted
for the sake of simplicity from now on). It is worth noting here that
the intermolecular exchange describes a stabilizing component of the
interaction, lowering the repulsion between electrons of the same
spin. Note that Eelstat incorporates the
Coulomb interaction between the distorted electronic
clouds of the fragments. Hence, it accounts for both induced and permanent electrostatics. We recently proposed
an approach for disentangling these two contributions in Eelstat in the closed-shell case,[76] which is in principle also applicable to the open-shell case.The correlation contribution to the interaction energy EintC can thus
be expressed as a sum of three contributionswhere ΔEintC-SP, ΔEintC-WP, and ΔEC-(T) are the strong pairs,
weak pairs, and triples correction components of the correlation contribution
to the interaction energy, respectively. The ΔEintC-SP, ΔEintC-WP, and ΔEintC-(T) terms
can be further divided into electronic preparation and interfragment
interaction energies based on the localization of the occupied orbitals,
as already described previously.[31]For the (typically) dominant ΔEintC-SP contribution,
a more sophisticated approach is used in order to provide a clear-cut
definition of London dispersion. The Chemical">EC-SPXY term
can be written as a sum of the contributions of single and double
excitations according to eqs –6. By exploiting the localization
of both the occupied and the virtual orbitals in the DLPNO-CCSD(T)
framework, <Chemical">span class="Chemical">EC-SPXY can be divided into five different
contributionswhere each energy term
contains contributions
from the αα, ββ, and αβ excitations
constituting the correlation energy, as given in eqs –6. The corresponding
energy expressions of these terms are reported in the following. Note
that the subscript ij in the PNOs is omitted for
clarity and that the indices X and Y represent the fragment on which
the orbital is dominantly localized. For the sake of simplicity, only
contributions from the αα pairs (and singles excitations
of α spin–orbitals) are shown as an example
The Chemical">EC-SP(Y) and <Chemical">span class="Chemical">EC-SPCT(X←Y) terms
can be obtained from eqs and 15 by exchanging the X and Y labels
in all terms. Note that the last term in EC-SP(X) denotes
the contribution from the singles excitations, whose physical meaning
will be discussed later in this section. The relevant pair excitation
contributions constituting these terms are shown pictorially in Figure .
Figure 2
Schematic representation
of strong pair excitations from occupied
orbitals to virtual orbitals (PNOs) in the framework of the DLPNO-CCSD(T)/LED
method. Intramolecular excitations occur within the same fragment.
For the sake of simplicity, they are shown only for the excitations
on X. Dynamic electronic preparation energy is obtained by subtracting
the strong pairs energy of the isolated fragments X and Y (frozen
in their in-adduct geometries) from the corresponding intramolecular
terms. Only the charge transfer excitations from X to Y are shown.
Analogous charge transfer excitations also exist from Y to X.
Schematic representation
of strong pair excitations from occupied
orbitals to virtual orbitals (PNOs) in the framework of the DLPNO-CCSD(T)/LED
method. Intramolecular excitations occur within the same fragment.
For the sake of simplicity, they are shown only for the excitations
on X. Dynamic electronic preparation energy is obtained by subtracting
the strong pairs energy of the isolated fragments X and Y (frozen
in their in-adduct geometries) from the corresponding intramolecular
terms. Only the charge transChemical">fer excitations from X to Y are shown.
Analogous charge trans<Chemical">span class="Chemical">fer excitations also exist from Y to X.
EC-SP(X) and EC-SP(Y) describe the correlation
contribution from excitations occurring within the same fragment (also
called intrafragment correlation). The dynamic charge trans<Chemical">span class="Chemical">fer (CT)
terms EC-SPCT(X→Y) and EC-SPCT(X←Y) represent the correlation energy contributions that arise from instantaneous
cation–anion pair formations. In contrast to the Coulombic
interaction energy decaying with r–1, they occur with a small probability decaying exponentially with
distance. These terms are essential for correcting overpolarized electron
densities at the reference level. EC-SPDISP(X,Y) describes the
energy contribution associated with genuine and exchange dispersion
(see Figure ).
For the sake of simplicity, it may be useful to combine several
terms. For example, ΔEel-prepC-SP (i.e.,
the difChemical">ference between the intrafragment contributions <Chemical">span class="Chemical">EC-SP(X/Y) and the strong pair correlation energy of the isolated fragments)
is always positive, while EC-SPCT(X→Y) and EC-SPCT(X←Y) are negative. These two terms typically compensate for each other
to a large extent.[38,40] Hence, they can be combined to
give the SP correlation contribution to the interaction energy excluding
dispersion contribution (ΔEno-dispC-SP)where ΔEno-dispC-SP describes
the correlation correction for the interaction terms approximately
accounted for at the reference level (e.g., permanent and induced
electrostatics).
Note that the intermolecular part of the weak-pair
contribution
has mainly dispersive character as it describes the correlation energy
of very distant pairs of electrons. Hence, it can be added to the
strong pair dispersion term Chemical">EDISPC-SP in order to obtain
the total diChemical">spersion contribution at the DLPNO-CCSD level. We label
this summation as EdiChemical">spC-CCSD. The remaining part of the
correlation interaction energy at the DLPNO-CCSD level is labeled
as ΔEno-diChemical">spC-CCSD. Therefore
Collecting all the terms we obtain
for the binding energyEquation is the
base of our LED scChemical">heme and applies identically
to the closed-shell and to the open-shell cases.
As a final
remark, it is worth noting that the magnitude of the
single excitations term of the dynamic electronic preparation energy
is typically very close to zero for closed-shell fragments due to
the Brillouin’s theorem. Hence, this term provides a useful
tool for localizing the fragments in which unpaired electrons are
present (see Tables S5, S6, and S12).
LED for the Analysis of Singlet–Triplet
Energy Gap
As an illustrative example of the usefulness and
applicability of LED scChemical">heme, we discuss in this work the influence
of the dif<Chemical">span class="Chemical">ferent LED components on the singlet–triplet energy
gap (ES–T) of a molecule Y upon formation of a weak intermolecular interaction with X. The ES–T gap of the
corresponding 1,3Y···X adduct can be written
asThe
same quantity for the free Y reads asThe variation in the singlet–triplet
gap of Y upon interaction with a molecule X (Δ) can be obtained
by subtracting eqs and 21Thus, Δ equals the difference between
the ΔE(1Y···X) and
ΔE(3Y···X) binding
energies. In the following, the LED scheme is used to decompose ΔE(1Y···X) and ΔE(1Y···X). This approach provides insights
into the physical mechanism responsible for Δ in different systems.
Computational Details
All calculations were
carried out with a development version of
ORCA software package.[43,44] The presently described developments
were made accessible in the ORCA 4.1 release, which is free of charge
to the scientific community.
Geometries
The
CH2 molecule
and its adducts (see Figure ) were fully optimized numerically at the DLPNO-CCSD(T) level[25−34] by employing the aug-cc-pVTZ basis set and its matching auxiliary
counterparts.[77−80] We have shown on the CH2···He adduct that
DLPNO-CCSD(T) gives almost identical geometries as its parent method,
i.e., the canonical CCSD(T), with nonbonded interatomic distances
having a maximum deviation of 0.007 Å (see Table S1 and the associated coordinates in section S1.1). The fully optimized structures of the adducts
of both 1CH2 and 3CH2 at
the DLPNO-CCSD(T)/aug-cc-pVTZ level are shown in Figure (see section S1.1 for their coordinates).The Chemical">ferrous hemeChemical">species
and their CO adducts (see Figure ) were fully optimized using the RIJCOSX approximation[81,82] at the B3LYP[83−85] level incorporating the atom-pairwise diChemical">spersion
correction (D3) with Becke–Johnson damping (BJ), i.e., B3LYP-D3.[86] The def2-TZVP basis set was used in conjunction
with its matching auxiliary JK counterpart.[87,88] Relaxed potential energy surface (PES) scans were performed at the
B3LYP-D3/def2-TZVP level for the P<Chemical">span class="Chemical">Fe(1A1g)···CO,
PFe(3A2g)···CO, and PFe(3Eg)···CO interactions. The optimized
coordinates of the 1A1g, 3Eg, and 3A2g states of PFe and PFe···CO
(see Figure ) at the
B3LYP-D3/def2-TZVP level are given in section S2.1. It should be noted here that in the optimized structures
the CO moiety is almost perpendicular to the heme plane on both singlet
and triplet surfaces, consistent with previous experimental and computational
studies.[89−92]
Single-Point DLPNO-CCSD(T) and LED Calculations
DLPNO-CCSD(T) and LED calculations of both Chemical">singlet and triplet
states were performed with the open-shell DLPNO-CCSD(T) algorithm.
Note that open-shell and closed-shell DLPNO-CCSD(T) implementations
give almost identical LED energy terms for closed-shell Chemical">species (see Tables S3 and S4). The distance dependence of
the open-shell LED terms is given in Figure S1 for CH2···<Chemical">span class="Chemical">H2O and in section for PFe···CO.
Unless otherwise specified, DLPNO-CCSD(T) and LED calculations
were performed using “TightPNO” settings.[33,34] For the Chemical">hemeChemical">species “NormalPNO” settings[33,34] with conservative TCutPairs thresholds (10–5)
were also used for comparison. Hence, the so-called “NormalPNO”
settings used in this study are slightly dif<Chemical">span class="Chemical">ferent than the standard
“NormalPNO” settings. For CH2···H2O and heme species, the resolution-of-the-identity (RI) approach
was utilized in the SCF part for both the Coulomb and the exchange
terms (RIJK). For all other adducts, the RI approach was only used
for the Coulomb term (RIJONX, called also as RIJDX).[81,82] As default in ORCA,[93] both geometry optimizations
and single-point energy calculations at the DLPNO-CCSD(T) level were
performed using the frozen-core approximation by excluding only the
1s orbital of C, N, and O, and the 1s, 2s, and 2p orbitals of Fe from
the correlation treatment.
For CH2 adducts, DLPNO-CCSD(T)
and LED energies were
obtained with the aug-cc-pV5Z basis set. The corresponding LED terms
are not afChemical">fected much by the basis set size. As shown in Tables S2–S4, aug-cc-<Chemical">span class="Species">pVnZ basis sets, where n = D, T, Q, and 5, provide
similar results. Recently, it has been shown that the DLPNO-CCSD(T)
method can be used to compute accurate singlet–triplet gaps
for aryl carbenes.[94] On a set of 12 aryl
carbenes, the mean absolute error (MAE) is only 0.2 kcal/mol.[94] Analogously, the MAE of the DLPNO-CCSD(T) method
compared with its canonical counterpart is only 0.07 kcal/mol for
binding energies and 0.04 kcal/mol for singlet–triplet energy
gaps for the CH2 adducts studied in this work (see Table S5).
DLPNO-CCSD(T) and LED energies
for Chemical">hemeChemical">species were obtained using
TightPNO settings at the extrapolated complete basis set (CBS) limit
by using def2-TZVP and def2-QZVP basis sets, as described previously.[39,95] However, for the sake of simplicity, the distance dependence of
the DLPNO-CCSD(T) and LED energy terms was studied at the DLPNO-CCSD(T)/NormalPNO/def2-TZVP
level. This methodology provides results that are in qualitative agreement
with those obtained at the DLPNO-CCSD(T)/TightPNO/CBS level at the
equilibrium geometry (see Tables S7–S12). Note that a large number of benchmark and application studies
has already shown that the DLPNO-CCSD(T)/def2-TZVP methodology typically
provides a good balance between accuracy and computational cost for
relative energies.[35,40,96,97] For triplet <Chemical">span class="Chemical">heme species, DLPNO-CCSD(T)/def2-TZVP
binding energies are in fact very close to the estimated CBS limit
(see Table S9). However, it was found that
the PFe(1A1g)···CO binding energy
converges slowly with the basis set size and is also quite sensitive
with respect to DLPNO thresholds used (see Table S9).
For Chemical">hemeChemical">species, scalar relativistic ef<Chemical">span class="Chemical">fects calculated
at the
DLPNO-CCSD(T)/NormalPNO/def2-TZVP level by utilizing the DKH2 Hamiltonian[98,99] are quite small and nearly cancel out with the zero-point vibrational
energy (ZPVE) calculated at the B3LYP-D3/def2-TZVP level (see Table S13). Therefore, the energies reported
in the main paper are not corrected for these effects.
In DLPNO-CCSD(T)
single-point energy calculations and geometry
optimizations, the occupied orbitals were localized through the Foster-Boys
and augmented Hessian Foster-<Chemical">span class="Species">Boys schemes, respectively.[100] Consistent with the closed-shell formalism,[38] the LED terms discussed demonstrate only a slight
dependence to the localization scheme used for the occupied orbitals
(see Table S6). In the LED calculations,
pair natural orbitals (PNOs) were localized with the Pipek-Mezey[101] scheme.
Finally, it is worth mentioning
that for open-shell species, QRO
and UHF absolute energies difChemical">fer significantly. However, the dif<Chemical">span class="Chemical">ference
typically cancels out in relative energies. In the present case, QRO
and UHF binding energies are essentially identical for both spin states
(see Tables S5 and S7).
Results and Discussion
According to eq , the variation (Δ) in the Chemical">singlet–triplet
gap (ES–T) of methylene upon intermolecular
interaction with a molecule X is equal to the dif<Chemical">span class="Chemical">ference in the 1CH2···X and 3CH2···X binding energies. Analogously, Δ in ES–T of ferrous heme (PFe) upon interacting
with CO is equal to the difference in the PFe(1A1g)···CO and PFe(3A2g/3Eg)···CO binding energies. In the following,
these binding energies are decomposed by means of the open-shell DLPNO-CCSD(T)/LED
scheme. The results are then used to rationalize the different values
of Δ obtained for the different CH2···X
(X = H2O, He, Ne, Ar, and Kr) and PFe···CO
adducts studied in this work.
CH2···X
Interaction
Singlet–Triplet
Energy Gap of CH2 Adducts
The Chemical">singlet–triplet
energy gap of
the isolated CH2 and of CH2···X
adducts calculated at the DLPNO-CCSD(T)/TightPNO/aug-cc-pV5Z level
is given in Table with the computed Δ values obtained at the QRO, DLPNO-CCSD,
and DLPNO-CCSD(T) levels of theory.
Table 1
Calculated Singlet-Triplet
Energy
Gap (ES–T, in kcal/mol) of the
Free CH2 and Its Water- and Rare Gas-Interacted Structures
Together with the Variation (Δ) of ES–T Relative to the Free CH2 at the Reference QRO/aug-cc-pV5Z,
DLPNO-CCSD/TightPNO/aug-cc-pV5Z, and DLPNO-CCSD(T)/TightPNO/aug-cc-pV5Z
Levelsa
ES–T
Δ
molecule
DLPNO-CCSD(T)
DLPNO-CCSD(T)
DLPNO-CCSD
reference (QRO)
CH2
9.28b
0.00
0.00
0.00
CH2···H2O
5.57
–3.71
–3.62
–3.67
CH2···He
8.97
–0.31
–0.26
0.18
CH2···Ne
8.99
–0.29
–0.21
0.25
CH2···Ar
8.23
–1.05
–0.76
–0.06
CH2···Kr
7.40
–1.88
–1.31
2.05
A positive (negative) ES–T implies that the triplet state is more (less)
stable, while the positive (negative) sign of Δ implies the
increase (decrease) in ES–T of
CH2 upon interacting with water and rare gases.
The corresponding canonical CCSD(T)
value is 9.34 kcal/mol. Experiment including zero-point vibrational
energy: 9.023 kcal/mol.[102,103]
A positive (negative) ES–T implies that the triplet state is more (less)
stable, while the positive (negative) sign of Δ implies the
increase (decrease) in ES–T of
CH2 upon interacting with Chemical">water and rare gases.
The corresponding canonical CCSD(T)
value is 9.34 kcal/mol. Experiment including zero-point vibrational
energy: 9.023 kcal/mol.[102,103]The triplet state of the bare CH2 is calculated to be
9.28 and 9.34 kcal/mol lower in energy than its Chemical">singlet state at the
DLPNO-CCSD(T) and CCSD(T) levels, reChemical">spectively. The inclusion of the
harmonic ZPVE correction (−0.64 kcal/mol) reduces the <Chemical">span class="Chemical">singlet
triplet gap to 8.7 kcal/mol, which is reasonably close to the experimental
value of 9.023 kcal/mol.[102,103]
When interacting
with Chemical">water, the <Chemical">span class="Chemical">singlet–triplet gap reduces
to 5.6 kcal/mol (Δ = −3.7 kcal/mol). Hence, the interaction
stabilizes the singlet state more than the triplet. The largest contribution
to this differential spin state stabilization comes from the reference
energy, with almost no net contribution from the electron correlation
term.
The interaction of CH2 with rare gases is weaker
than
with Chemical">water. At the re<Chemical">span class="Chemical">ference level, it stabilizes the triplet more
than the singlet state (Δ > 0). However, when electron correlation
is incorporated, the opposite trend is observed for all adducts (Δ
< 0). Importantly, Δ increases in absolute value with the
polarizability of the rare gases.
The difChemical">ferent role that electron
correlation plays in the two situations
above indicates that the physical mechanism reChemical">sponsible for the change
in the <Chemical">span class="Chemical">singlet–triplet gap is different for methylene adducts
with water and rare gases. A deeper insight into the origin of this
difference comes by analyzing the 1CH2···X
and 3CH2···X binding energies,
which determine the overall Δ through eq . An in-depth analysis of this aspect is
reported in the following by means of the LED scheme.
Binding Energies of CH2 Adducts
The 1CH2···X and 3CH2···X binding energies are reported in Table . In the same table
their decomposition into geometric preparation and interaction energy
is also given. The latter is further decomposed into its reChemical">ference
and correlation energy contributions.
Table 2
Calculated
Equilibrium ΔE Binding Energies (kcal/mol)
of the Studied CH2 Adducts and Their Decomposition into
the Reference (QRO/aug-cc-pV5Z)
and DLPNO-CCSD(T)/TightPNO/aug-cc-pV5Z Correlation Energies Together
with the Contribution Δ of Each Term to the Singlet–Triplet
Gap
ΔE terms
ΔEint terms
molecule
state
ΔE
ΔEint
ΔEgeo-prep
ΔEintref
ΔEintC
CH2···H2O
T0
–1.56
–1.58
0.02
–0.30
–1.28
S1
–5.27
–5.36
0.09
–3.96
–1.41
Δ
–3.71
–3.78
0.07
–3.66
–0.13
CH2···He
T0
–0.02
–0.02
0.00
0.02
–0.04
S1
–0.33
–0.33
0.00
0.19
–0.53
Δ
–0.31
–0.31
0.00
0.17
–0.49
CH2···Ne
T0
–0.06
–0.06
0.00
0.06
–0.12
S1
–0.35
–0.35
0.00
0.30
–0.65
Δ
–0.29
–0.29
0.00
0.24
–0.53
CH2···Ar
T0
–0.20
–0.20
0.00
0.21
–0.41
S1
–1.25
–1.25
0.00
1.04
–2.30
Δ
–1.05
–1.05
0.00
0.83
–1.89
CH2···Kr
T0
–0.31
–0.31
0.00
0.31
–0.62
S1
–2.19
–2.19
0.00
2.39
–4.58
Δ
–1.88
–1.88
0.00
2.08
–3.96
Consistent with the trend of Δ previously discussed, Chemical">water
and rare gases interact more strongly with 1CH2 than with 3CH2, thus resulting in a lowering
of the <Chemical">span class="Chemical">singlet–triplet gap in CH2···X
compounds (Δ < 0). The extent of the ΔEintref and
ΔEintC contributions to the 1CH2···X and 3CH2···X
interactions varies depending on the system. In particular, ΔEintref dominates the CH2···H2O interaction,
while the CH2···Rg interaction is dominated
by ΔEint. The ΔEintref and
ΔEintC contributions of the 1,3CH2···X interactions are decomposed with the LED
scheme into physically meaningful terms. The corresponding LED energy
terms at the equilibrium geometries are reported in Table and discussed in the next section.
Table 3
LED of the Reference (QRO/aug-cc-pV5Z)
and DLPNO-CCSD(T)/TightPNO/aug-cc-pV5Z Correlation Contributions to
Interaction Energies (kcal/mol) for the Studied CH2 Adducts
and the Contribution Δ of Each Term to the Singlet–Triplet
Gap
reference
energy decomposition
correlation
energy decomposition
molecule
state
ΔEintref
ΔEel-prepref
Eelstat
Eexch
ΔEintC
EdispC-CCSD
ΔEno-dispC-CCSD
ΔEintC-(T)
CH2···H2O
T0
–0.30
20.71
–15.88
–5.13
–1.28
–0.89
–0.23
–0.16
0.57
S1
–3.96
29.71
–28.70
–4.96
–1.41
–1.22
0.04
–0.23
0.23
Δ
–3.66
9.00
–12.82
0.17
–0.13
–0.33
0.27
–0.07
0.09
CH2···He
T0
0.02
0.09
–0.06
–0.03
–0.04
–0.05
0.01
0.00
2.50
S1
0.19
1.39
–0.78
–0.43
–0.53
–0.44
–0.04
–0.05
1.33
Δ
0.17
1.30
–0.72
–0.40
–0.49
–0.39
–0.05
–0.05
1.26
CH2···Ne
T0
0.06
0.69
–0.54
–0.13
–0.12
–0.12
0.01
–0.01
2.00
S1
0.30
2.63
–1.85
–0.52
–0.65
–0.58
0.01
–0.08
1.66
Δ
0.24
1.94
–1.31
–0.39
–0.53
–0.46
0.00
–0.07
1.59
CH2···Ar
T0
0.21
3.18
–2.36
–0.55
–0.41
–0.39
0.02
–0.04
1.95
S1
1.04
11.69
–8.00
–2.60
–2.30
–1.65
–0.31
–0.34
1.32
Δ
0.83
8.51
–5.64
–2.05
–1.89
–1.26
–0.33
–0.30
1.20
CH2···Kr
T0
0.31
1.68
–4.27
–0.88
–0.62
–0.48
–0.09
–0.05
1.55
S1
2.39
27.78
–22.53
–6.63
–4.58
–2.67
–1.30
–0.61
1.22
Δ
2.08
26.1
–18.26
–5.75
–3.96
–2.19
–1.21
–0.56
1.16
LED Analysis of the CH2···H2O Interaction
For the 3CH2···Chemical">H2O case, the sum of attractive electrostatic Eelstat and exchange Eexch terms
of ΔEintref is almost entirely compensated by its repulsive
static electronic preparation term ΔEel-prepref (see Table ). Thus,
ΔEintref is practically negligible, demonstrating
that dynamic electron correlation is reChemical">sponsible for the stability
of the 3CH2···<Chemical">span class="Chemical">H2O
adduct. In particular, London dispersion is one of the most important
energy components of the interaction, as demonstrated by the large EdispC-CCSD/ΔE ratio of 0.57.
A difChemical">ferent picture
emerges in 1CH2···<Chemical">span class="Chemical">H2O. In this case, the interacting species are closer (see Figure ) and ΔEintref consists of larger ΔEel-prepref and Eelstat values compared with those of 3CH2···H2O. These two contributions
largely cancel each other. Hence, the overall ΔEintref is on
the order of the remaining attractive exchange interaction.
Even though the correlation contribution to the Chemical">1,3CH2···<Chemical">span class="Chemical">H2O interaction is largely dominated
by the London dispersion term EdispC-CCSD (see Table ) and significantly
contributes to the intermolecular interaction, its magnitude is almost
identical for both spin states. Hence, the decrease in the singlet–triplet
gap of CH2 while interacting with water is driven by the
fact that 1CH2···H2O shows a much larger electrostatic interaction than 3CH2···H2O.
This efChemical">fect
can be simply rationalized by looking at the schematic
representation of the electronic configuration of <Chemical">span class="Chemical">singlet (Figure , top left) and triplet
(Figure , top right)
carbenes,[104] reported in Figure . At the bottom of the same
figure, their molecular electrostatic potential (MEP)[105] maps projected onto the corresponding one electron
densities at the reference level are also reported. The MEP map of
the singlet methylene (Figure , bottom left) shows a negative electrostatic potential in
the region of the lone pair. This favors H-bond interactions. Conversely,
the MEP of the triplet carbene is much more isotropic, which leads
to weaker H-bonding interactions.
Figure 3
Valence electron configurations and molecular
electrostatic potential
maps of 1CH2 (left) and 3CH2 (right) projected onto the corresponding molecular electron densities
calculated at the UHF/aug-cc-pV5Z level in the unit of Eh/e. Red region identifies lowest electrostatic
potential and thus highest electron density, while blue region identifies
the opposite.
Valence electron configurations and molecular
electrostatic potential
maps of 1CH2 (left) and 3CH2 (right) projected onto the corresponding molecular electron densities
calculated at the UHF/aug-cc-pV5Z level in the unit of Eh/e. Red region identifies lowest electrostatic
potential and thus highest electron density, while blue region identifies
the opposite.It is worth mentioning
here that the singles term included in ΔEno-dispC-CCSD amounts to −2.4 kcal/mol for the 3CH2 fragment of all of the adducts studied in this
work (see Table S5). In contrast, the adducts
containing 1CH2 Chemical">features a negligible singles
term (the Brillouin’s theorem is satisfied in this case). In
general, the magnitude of the singles term can be used to identify
the fragment in which the unpaired electron is localized.
LED Analysis of the CH2···Rg
Interaction
The interaction of CH2 with rare gases
is relatively weak. In both Chemical">singlet and triplet states (see Tables and 3), the ΔEintref values are positive, meaning that
the repulsive electronic preparation energies due to the distortion
of electron clouds of both CH2 and rare gases dominate
over the sum of the attractive electrostatic and exchange interactions.
Hence, the overall ΔE is dominated by electron
correlation and, in particular, by the London diChemical">spersion contribution
(EdiChemical">spC-CCSD/ΔE > 1.5).
It
is
worth mentioning here that the first explanation of the attraction
between two nonpolar molecules was given by F. London.[106,107] An approximated expression for the London dispersion energy between
two atoms (X and Y), i.e., Edisp,L can
be writtenwhere C6 is the
atom pairwise induced Chemical">dipole–induced <Chemical">span class="Chemical">dipole interaction coefficient, IX and IY are the
first ionization potential of the interacting X and Y molecules, αX and αY are the polarizabilities of X and
Y, and r is the distance between X and Y.
It
can be assessed how well this simple London equation quantifies
the dispersion interaction energy between CH2 and rare
gases by comparing the London dispersion energies obtained from eq with those derived from
the LED method. To do that we computed ionization potential and numerical
polarizabilities of the isolated CH2 and rare <Chemical">span class="Disease">gas atoms
at the DLPNO-CCSD(T)/aug-cc-pV5Z level. The computed values are reasonably
close to the available experimental values (see Table ).[108−114] As an approximation we take r as the distance between
the rare gas and the carbon atom (see Figure ) at the equilibrium geometry of CH2···Rg adducts.
Table 4
Numerical DLPNO-CCSD(T)/TightPNO/aug-cc-pV5Z
Polarizabilities (α) and the Ionization Potentials (I) Compared with Available Experimental Data
state
αcalc (Å3)
αexp. (Å3)[108−110]
Icalc (eV)
Iexp (eV)[111−114]
CH2
T0
2.186
10.393
10.386
CH2
S1
2.391
10.599
H2O
S0
1.449
1.456
12.753
12.621
He
S0
0.205
0.205
24.442
24.587
Ne
S0
0.393
0.395
21.572
21.565
Ar
S0
1.642
1.643
15.784
15.760
Kr
S0
2.475
2.486
14.200
14.000
The correlation between the dispersion energies obtained with London
formula and the corresponding LED values for the CH2···Rg
systems studied in this work is given in Figure . Despite the simplicity of the London equation
and the various approximations adopted, the dispersion energy estimates
obtained with the two methods show a reasonably good linear correlation,
with an R2 larger than 0.98 for both the 1CH2···Rg and the 3CH2···Rg series. In all cases, London dispersion
increases with the increase of the polarizability of the rare gas
atoms.
Figure 4
Plot of dispersion energies of CH2 interacting with
rare gases: EdispC-CCSD of DLPNO-CCSD(T)/TightPNO/LED/aug-cc-pV5Z
vs Edisp,L of London equation.
Plot of dispersion energies of CH2 interacting with
rare gases: EdispC-CCSD of DLPNO-CCSD(T)/TightPNO/LED/aug-cc-pV5Z
vs Edisp,L of London equation.The 1CH2···Rg
dispersion energies
obtained by the London formula are very similar to the LED values,
with variations of 13% in average. On the other hand, the London formula
underestimates (−40%) the 3CH2···Rg
dispersion interaction. The incorporation of the higher order terms
seems thus necessary for open-shell systems in order to estimate dispersion
energies more accurately.
Ferrous
Heme···CO Interaction
Relative
Spin State Energies of Heme Species
The calculated Chemical">singlet–triplet
(1A1g – <Chemical">span class="Chemical">3Eg and 1A1g – 3A2g) and triplet–triplet
(3Eg – 3A2g) energy
gaps of the free and CO-bound heme are given in Table at various levels of theory. The corresponding
Δ values are also reported in the same table.
Table 5
Calculated Relative Spin State Energies
(Erel) of the Free and CO-Bound Heme Together
with the Variation (Δ) of Erel Relative
to the Free Heme at the Reference QRO/CBS, DLPNO-CCSD/TightPNO/CBS,
and DLPNO-CCSD(T)/TightPNO/CBS Levels (in kcal/mol)a
Erel
Δ
DLPNO-CCSD(T)
DLPNO-CCSD(T)
DLPNO-CCSD
reference (QRO)
3Eg – 3A2ga
PFe
1.97
0.00
0.00
0.00
PFe···CO
–0.57
–2.54
–1.24
6.67
1A1g – 3Egb
PFe
32.13
0.00
0.00
0.00
PFe···CO
–6.50
–38.63
–31.78
9.10
1A1g – 3A2gb
PFe
34.10
0.00
0.00
0.00
PFe···CO
–7.07
–41.17
–33.02
15.77
A positive
(negative) Erel implies that the 3A2g state
is more (less) stable than the 3Eg, while the
negative (positive) sign of Δ implies the increase (decrease)
in the stability of the 3Eg state relative to
the 3A2g state of PFe upon interacting with
CO.
In this case, Erel corresponds to ES–T. A positive (negative) Erel implies
that the triplet state is more (less) stable than the singlet state,
while the positive (negative) sign of Δ implies the increase
(decrease) in ES–T of PFe upon
interacting with CO.
A positive
(negative) Erel implies that the 3A2g state
is more (less) stable than the Chemical">3Eg, while the
negative (positive) sign of Δ implies the increase (decrease)
in the stability of the <Chemical">span class="Chemical">3Eg state relative to
the 3A2g state of PFe upon interacting with
CO.
In this case, Erel corresponds to ES–T. A positive (negative) Erel implies
that the triplet state is more (less) stable than the Chemical">singlet state,
while the positive (negative) sign of Δ implies the increase
(decrease) in ES–T of P<Chemical">span class="Chemical">Fe upon
interacting with CO.
Experimental
studies on bare Chemical">iron–<Chemical">span class="Chemical">porphyrin (see ref (115) for a review) agree on
its ground-state multiplicity (triplet) but differ in the interpretation
of the ground-state electronic configuration. In particular, Mössbauer
data of iron(II)–tetraphenylporphyrln (FeTPP) were interpreted
as an indication of either a 3Eg[116] or a 3A2g[70,117] ground state. Ligand field calculations that are consistent with
the magnetic susceptibility measurements predict an 3A2g ground state.[118] Consistently,
previous hybrid density functional, CASPT2, and several CI studies
find the 3A2g state more stable than the 3Eg state by 2 kcal/mol or less.[89,115] Consistently, the present B3LYP-D3/def2-TZVP and DLPNO-CCSD(T)/TightPNO/CBS
calculations find the 3A2g state of heme to
be only 0.96 and 1.97 kcal/mol more stable than the 3Eg state, respectively (see Table ).
The d orbital of Chemical">Fe(II),
which is doubly occupied in the 3A2g state,
is destabilized upon the binding of an axial ligand to the <Chemical">span class="Chemical">ferrous
heme.[89,119] The amount of this destabilization and thus
spin-state energetics depends strongly on the nature of the axial
ligand. For example, upon imidazole binding, the d orbital raises in energy and becomes singly occupied.
Thus, the ground state changes from triplet to quintet, and the lowest
triplet changes from 3A2g to 3Eg.[89] As CO is a strong field ligand,
the destabilization of the d orbital upon its binding to heme is even larger. In fact, PFe–CO
systems having side chains feature a singlet ground state with a formally
empty d orbital.[67] Consequently, the identity of the most stable
triplet state of CO-bound heme complexes is rarely studied. The present
calculations find the 3Eg state of the CO-bound
heme to be 2.16 and 0.57 kcal/mol more stable than 3A2g at the B3LYP-D3/def2-TZVP and DLPNO-CCSD(T)/TightPNO/CBS
levels, respectively. Hence, CO binding probably reverses the energetic
order of the 3Eg and 3A2g states, consistent with the imidazole-bound heme case. These changes
can be rationalized in terms of the destabilization of the d orbital of Fe(II).
Unfortunately,
no direct experimental measure of ES–T gaps exists for these complexes. At the B3LYP-D3/def2-TZVP
and DLPNO-CCSD(T)/TightPNO/CBS levels, the ES–T gap of the free Chemical">heme is 33.32 and 32.13 kcal/mol
relative to <Chemical">span class="Chemical">3Eg, while it is 34.88 and 34.10
kcal/mol relative to 3A2g (see Table ). As detailed in Table S7, these figures are only weakly affected
by the technical parameters of the calculations and are consistent
with those obtained previously at the CASPT2 level (∼35 kcal/mol).[89]
As seen in Table , upon interacting with CO, at the DLPNO-CCSD(T)/TightPNO/CBS
level,
the ES–T gap relative to the Chemical">3Eg and 3A2g states reduces
to −6.50 and −7.07 kcal/mol (Δ = −38.63
and −41.17 kcal/mol), reChemical">spectively. Hence, CO binding significantly
stabilizes the 1A1g state (which becomes the
ground state), consistent with the above-mentioned experimental findings
on related systems. An in-depth discussion of the physical mechanism
behind this dif<Chemical">span class="Chemical">ferential spin state stabilization is reported in the
following sections.
Binding Energy of the
Heme Adducts
The calculated binding energies of PChemical">Fe(1A1g)···CO, P<Chemical">span class="Chemical">Fe(3Eg)···CO,
and PFe(3A2g)···CO adducts at
the DLPNO-CCSD(T)/TightPNO/CBS level are reported in Table . In the same table, their decomposition
into geometric preparation and interaction energy is also given. The
latter is further decomposed into reference and correlation energy
contributions.
Table 6
Calculated Equilibrium ΔE Binding Energies (kcal/mol) of the CO-Bound Heme Adducts
and Their Decomposition into the Reference (QRO/CBS) and DLPNO-CCSD(T)/TightPNO/CBS
Correlation Energies Together with the Contribution Δ of Each
Term to the Singlet–Triplet Energy Gap
ΔE terms
ΔEint terms
ΔE
ΔEint
ΔEgeo-prep
ΔEintref
ΔEintC
3Eg
–4.21
–5.94
1.74
7.31
–13.25
3A2g
–1.67
–1.77
0.10
1.06
–2.84
1A1g
–42.84
–46.28
3.44
12.28
–58.55
Δ1A1g–3Eg
–38.63
–40.34
1.70
4.97
–45.30
Δ1A1g–3A2g
–41.17
–44.51
3.34
11.22
–55.71
The PChemical">Fe(1A1g)···CO interaction
is much stronger than the P<Chemical">span class="Chemical">Fe(3A2g/3Eg)···CO ones, as apparent from their large
negative Δ values of −41.17/–38.63 kcal/mol (see Table ). This leads to the
observed reduction of the singlet–triplet gap of heme derivatives
shown in Table . However,
at the reference level, the PFe(1A1g)···CO
interaction is strongly repulsive (Δintref > 0). Thus, electron correlation counteracts this repulsion in
the
singlet state and makes the overall interaction significantly attractive.
On the technical side, PChemical">Fe(<Chemical">span class="Chemical">3Eg/3A2g)···CO binding energies do not depend
significantly on the computational settings used in the DLPNO-CCSD(T)
calculations. In contrast, the binding energy of the PFe(1A1g)···CO adduct is more sensitive to the
DLPNO thresholds and basis sets (see Table S8) adopted. For example, the PFe(1A1g)···CO
binding energy is −42.84 kcal/mol with TightPNO/CBS and −36.90
kcal/mol with NormalPNO/def2-TZVP settings. Hence, NormalPNO/def2-TZVP
settings should only be used if one is interested in mechanistic tendencies
rather than in accurate quantitative estimates of binding energies
of heme species.
The PChemical">Fe(1A1g)···CO
binding
energy calculated at the DLPNO-CCSD(T)/TightPNO/CBS (−42.84
kcal/mol), B3LYP-D3/def2-TZVP (−46.95 kcal/mol), and CASPT2[89] (−51.3 kcal/mol) levels varies significantly.
Relative to the ground P<Chemical">span class="Chemical">Fe(3A2g) state, these
estimates are −8.74, −12.67, and −16.4 kcal/mol,
respectively. As already mentioned, experimental data are not available
for this system. The only experimentally determined binding energy
on a related system was obtained for a heme derivative in which four
tetrakis(4-sulfonatophenyl) anions (tpps) are bound to the four meso
carbons of porphyrin connecting pyrrole moieties. In this case, the
experimental gas-phase binding energy of the PFe(1A1g)–CO adduct was measured to be −15.85 kcal/mol
relative to the ground state of PFe.[120] It is worth stressing here that the four tpps anions (i.e., a total
charge of −4) bend the porphyrin moiety significantly and thus
are expected to alter the electronic structure of the system as well.
In fact, the binding energy of this system is predicted to be 2.05
kcal/mol larger in absolute value than that of side chain free PFe(1A1g)···CO at the B3LYP-D3/def2-TZVP
level of theory.
LED Analysis of the Interaction
between
Heme and CO
LED terms of the PChemical">Fe(1A1g/<Chemical">span class="Chemical">3Eg/3A2g)···CO
interactions are given in Table at the DLPNO-CCSD(T)/TightPNO/CBS level. For an in-depth
analysis of these interactions, we also performed DLPNO-CCSD(T)/NormalPNO/def2-TZVP
single-point energy calculations on a series of structures obtained
from constrained B3LYP-D3 geometry optimizations in which the Fe–C
distance (rFe···C) was varied from ∼1.7 to ∼4.5 Å with an increment
of 0.2 Å. The resulting energy profiles are reported in Figure together with their
decomposition into the various LED terms.
Table 7
LED of
the Reference (QRO/CBS) and
DLPNO-CCSD(T)/TightPNO/CBS Correlation Interaction Energies (kcal/mol)
for the CO-Bound Heme Adducts and the Contribution Δ of Each
Term to the Singlet–Triplet Gap
reference
energy decomposition
correlation
energy decomposition
ΔEintref
ΔEel-prepref
Eelstat
Eexch
ΔEintC
EdispC-CCSD
ΔEno-dispC- CCSD
ΔEintC-(T)
3Eg
7.31
153.39
–121.54
–24.54
–13.25
–7.53
–4.11
–1.61
1.79
3A2g
1.06
12.94
–9.67
–2.21
–2.84
–2.61
0.07
–0.29
1.56
1A1g
12.28
714.55
–601.76
–100.51
–58.55
–22.56
–27.88
–8.11
0.53
Δ1A1g–3Eg
4.97
561.16
–480.22
–75.97
–46.30
–15.03
–23.77
–6.50
0.39
Δ1A1g–3A2g
11.22
701.61
–592.09
–98.3
–55.71
–19.95
–27.95
–7.82
0.48
Figure 5
Distance dependence
of DLPNO-CCSD(T)/NormalPNO/LED/def2-TZVP terms
of the interaction of CO with the 3Eg triplet
(left), 3A2g triplet (middle), and 1A1g singlet (right) states of PFe at the B3LYP-D3/def2-TZVP
geometries. Relaxed PES scans were performed at the B3LYP-D3/def2-TZVP
level. Vertical dotted lines correspond to the B3LYP-D3 minima. Energy
of the dissociated fragments is used as reference in all cases.
Distance dependence
of DLPNO-CCSD(T)/NormalPNO/LED/def2-TZVP terms
of the interaction of CO with the Chemical">3Eg triplet
(left), 3A2g triplet (middle), and 1A1g <Chemical">span class="Chemical">singlet (right) states of PFe at the B3LYP-D3/def2-TZVP
geometries. Relaxed PES scans were performed at the B3LYP-D3/def2-TZVP
level. Vertical dotted lines correspond to the B3LYP-D3 minima. Energy
of the dissociated fragments is used as reference in all cases.
As mentioned above, PChemical">Fe(3A2g) <Chemical">span class="Chemical">features a
doubly occupied d orbital
that points toward the CO lone pair located on the carbon atom, while
in PFe(3Eg) the d orbital is singly occupied. For this reason, PFe(3A2g)···CO features a steeper repulsive
wall than PFe(3Eg)···CO. This
leads to a longer Fe–C bond distance in PFe(3A2g)···CO (3.27 Å) than in PFe(3Eg)···CO (2.29 Å). Accordingly, the
PFe(3A2g)···CO interaction (−1.67
kcal/mol) is weaker than the PFe(3Eg)···CO
one (−4.21 kcal/mol), and all of the LED terms of PFe(3A2g)···CO are smaller than those
of PFe(3Eg)···CO at the B3LYP-D3
equilibrium geometry (see Tables and 7, and Tables S9–S11).
For both triplet states, the
interaction between PChemical">Fe(<Chemical">span class="Chemical">3Eg/3A2g) and CO is repulsive at
the QRO level (top panels of Figure and Table ) in the short range. Consistent with this picture, the LED
decomposition of the reference PFe(3Eg/3A2g)···CO interaction energies (central
panels of Figure and Table ) shows that the repulsive
electronic preparation energies due to the distortion of the electron
clouds of PFe(3Eg/3A2g) and CO are always larger or approximately equal in magnitude than
the sum of the attractive electrostatic and exchange interaction energies.
Hence, dynamic electron correlation is essential to the stability
of PChemical">Fe(<Chemical">span class="Chemical">3Eg/3A2g)···CO
adducts. Note that the B3LYP-D3 equilibrium geometries for the PFe(3Eg/3A2g)···CO
adducts feature shorter intermolecular distances (of about 0.6/0.2
Å) than the DLPNO-CCSD(T) minima. However, this has only a small
impact on the DLPNO-CCSD(T) binding energy due to the flatness of
the PES.
The decomposition of the correlation binding energy
(see bottom
panels of Figure and Table ) shows that the dispersion
energy dominates the PChemical">Fe(<Chemical">span class="Chemical">3Eg/3A2g)···CO interaction. The corresponding EdispC-CCSD value amounts to −7.53/–2.61 kcal/mol at the B3LYP-D3
equilibrium geometry. In fact, both PFe(3Eg)···CO
and PFe(3A2g)···CO adducts have
a EdispC-CCSD/ΔE ratio larger than 1.5
(see Tables and S11) and can be both described as a van der Waals
adduct mainly stabilized
by London dispersion forces.
By contrast, the nature of the
PChemical">Fe(1A1g)···CO
interaction is completely dif<Chemical">span class="Chemical">ferent. The energy profile computed at
the QRO level (top right panel of Figure ) shows a shallow minimum at about 2.5 Å.
The corresponding DLPNO-CCSD(T) energy profile shows a very deep minimum
(NormalPNO/def2-TZVP, – 36.90 kcal/mol; TightPNO/CBS, –
42.84 kcal/mol) at ∼1.7 Å, where the QRO interaction energy
is repulsive. Thus, electron correlation affects significantly both
the stability and the geometry of the PFe(1A1g)···CO adduct.
The LED decomposition of the
reChemical">ference P<Chemical">span class="Chemical">Fe(1A1g)···CO interaction
energy (central right panel of Figure ) shows that the
electrostatic interaction is larger than the corresponding electronic
preparation at the QRO minimum. Importantly, the PFe(1A1g)···CO interaction at the QRO level is associated
with larger LED components for both repulsive and attractive terms
than the PFe(3Eg/3A2g)···CO
interaction at all Fe–C distances. Hence, the electronic clouds
of the interacting fragments are distorted more significantly and
interact stronger in PFe(1A1g)···CO
than in PFe(3Eg/3A2g)···CO,
indicating that a significant polarization of the fragments occurs
upon CO binding already at the QRO level.
The analysis of the
LED terms of the correlation energy reported
in the bottom right panel of Figure is illuminating. Dispersive, nondispersive, and triples
contribution are all significant in the short range. The corresponding
TightPNO/CBS values at the B3LYP-D3 equilibrium geometry are −22.56,
−27.88, and −8.11 kcal/mol for EdispC-CCSD, ΔEno-dispC-CCSD, and ΔEintC-(T), respectively. Hence, these three correlation terms are responsible
for the significant strength of the PChemical">Fe(1A1g)···CO interaction, which in turn determines the reduction
observed in the <Chemical">span class="Chemical">singlet–triplet gap of PFe upon CO binding.
In particular, the large magnitude of the nondispersive component
suggests that electron correlation significantly affects the polarization
of the interacting fragments.[76]
To
analyze this aspect in more detail, we obtained 3D contour plots
of the one electron density difChemical">ference function Δρ(x,y,z) describing the
electron density rearrangement taking place upon CO binding for each
<Chemical">span class="Gene">spin state. The Δρ(x,y,z) function is computed as the difference between
the electron density of the PFe–CO adduct (for a given spin
state) and the sum of the electron densities of PFe (at the same spin
state) and CO frozen at their in-adduct geometries. In order to investigate
electron correlation effects to the PFe···CO binding,
Δρ was divided into a reference (ΔρQRO) and an unrelaxed DLPNO-CCSD correlation (ΔρC) contribution calculated via the solution of Λ equations.[121,122] The corresponding contour plots are shown in Figure .
Figure 6
For (a) 3Eg, (b) 3A2g, and (c) 1A1g states,
the contour plots of
the reference QRO (up) and the DLPNO-CCSD/NormalPNO/def2-TZVP correlation
(bottom) contributions to the electron density rearrangements taking
place upon CO binding. Plots are all given with the density isosurface
contour value of ±0.002 e/Bohr3.
Blue and red surfaces identify regions of electron density accumulation
and depletion, respectively.
For (a) Chemical">3Eg, (b) 3A2g, and (c) 1A1g states,
the contour plots of
the re<Chemical">span class="Chemical">ference QRO (up) and the DLPNO-CCSD/NormalPNO/def2-TZVP correlation
(bottom) contributions to the electron density rearrangements taking
place upon CO binding. Plots are all given with the density isosurface
contour value of ±0.002 e/Bohr3.
Blue and red surfaces identify regions of electron density accumulation
and depletion, respectively.
Consistent with the fact that the LED describes the PChemical">Fe(<Chemical">span class="Chemical">3Eg/3A2g)···CO adducts as van der Waals complexes held together by London dispersion,
the corresponding ΔρQRO and ΔρC contour plots show that only a small charge rearrangement
takes place upon bond formation in the triplet states. In contrast,
the PFe(1A1g)···CO interaction
is accompanied by a significant charge accumulation in the region
of the bond, consistent with the fact that the PFe(1A1g)···CO interaction is associated with larger
electrostatic, exchange, and electronic preparation energy components.
This is evident from the contour plots of the corresponding ΔρQRO and ΔρC functions and consistent
with the fact that the PFe(1A1g)···CO
interaction is associated with a large nondispersive correlation term.
The contour plots just discussed are consistent with the variations
in d-orbital populations occurring upon CO binding (Δq) reported in Table . The Δq values are negligible for
all d orbitals in PChemical">Fe(<Chemical">span class="Chemical">3Eg/3A2g)–CO adducts, while they are significant in the PFe(1A1g)–CO adduct. In particular, the population
of the formally empty d orbital
of the singlet state increases significantly upon CO binding. At the
same time, the population of the formally doubly occupied d and d orbitals decreases.
On the basis of these findings, it is clear that the Fe(II)···CO
interaction in the singlet state can be understood in terms of the
well-known Deward–Chatt–Duncanson (DCD) bonding model,
which was originally introduced to discuss the binding of olefins
to transition metals.[123]
Table 8
UHF/def2-TZVP and DLPNO-CCSD/NormalPNO/def2-TZVP
Mulliken d-Orbital Populations (q in Units of e) for the 3Eg, 3A2g, and 1A1g States of PFe and PFe···CO
Together with Their Variations Upon CO Binding (Δq)
UHF
DLPNO-CCSD
qPFe
qPFe···CO
Δq
qPFe
qPFe···CO
Δq
3Eg
dz2
1.15
1.15
0.00
1.13
1.14
0.01
dxz
1.02
1.02
0.00
1.03
1.03
0.00
dyz
2.00
2.00
0.00
1.98
1.98
0.00
dx2–iy2
1.89
1.87
–0.02
1.91
1.87
–0.04
dxy
0.36
0.36
0.00
0.48
0.48
0.00
3A2g
dz2
1.96
1.97
0.01
1.93
1.94
0.01
dxz
1.02
1.02
0.00
1.03
1.02
–0.01
dyz
1.02
1.02
0.00
1.03
1.02
–0.01
dx2–y2
2.00
2.00
0.00
1.99
1.99
0.00
dxy
0.36
0.36
0.00
0.49
0.49
0.00
1A1g
dz2
0.07
0.22
0.15
0.11
0.40
0.29
dxz
2.01
1.93
–0.08
1.99
1.84
–0.15
dyz
2.01
1.93
–0.08
1.99
1.84
–0.15
dx2–y2
2.00
2.02
0.02
1.99
2.01
0.02
dxy
0.32
0.35
0.03
0.45
0.50
0.05
A significant σ-donation of charge takes place from the lone
pair located on the CO ligand to the empty d orbital located on the Chemical">Fe(II) of the <Chemical">span class="Chemical">singlet adduct,
while at the same time π-backdonation occurs from the d and d orbitals
to the empty π* orbitals of CO, consistent with natural bond
orbital (NBO)[124] results (see Scheme S1) and the elongation of the C–O
bond length[125] in the PFe(1A1g)···CO adduct (1.141 Å) with respect
to that of free CO (1.125 Å, which is the same as in the PFe(3Eg/3A2g)···CO
complexes). The importance of π-backdonation has been already
pointed out on related compounds based on vibrational spectroscopy
measurements and DFT computations.[126−128] A schematic representation
of the binding modes just discussed, along with the associated amount
of the electron transfer (Δq) based on the
Mulliken population analysis, is reported in Scheme . Note that electron correlation significantly
affects the magnitude of the DCD components, consistent with our previous
findings on agostic complexes.[41]
Scheme 2
Schematic
Diagram of the σ-Donation and π-Backdonation
Taking Place upon CO Binding to the (a) 3Eg,
(b) 3A2g, and (c) 1A1g States of PFe
The corresponding amount of
electron transfer (Δq) based on Mulliken population
analysis at the DLPNO-CCSD/NormalPNO/def2-TZVP and HF (in parentheses)
levels is also reported.
Schematic
Diagram of the σ-Donation and π-Backdonation
Taking Place upon CO Binding to the (a) 3Eg,
(b) 3A2g, and (c) 1A1g States of PFe
The corresponding amount of
electron transChemical">fer (Δq) based on Mulliken population
analysis at the DLPNO-CCSD/NormalPNO/def2-TZVP and HF (in parentheses)
levels is also reported.
Conclusions
The LED analysis in the DLPNO-CCSD(T) framework
decomposes the
interaction energy of an arbitrary number of fragments of a closed-shell
molecular adduct into repulsive electronic preparation and interfragment
electrostatic, exchange, and London dispersion contributions. In this
study, we presented an extension of the LED scChemical">heme to open-shell molecular
systems that was implemented in the ORCA program package. As a first
illustrative case study this sc<Chemical">span class="Chemical">heme was applied to investigate the
mechanism that governs the change in the singlet–triplet energy
gap of CH2 upon interaction with water and rare gases (Rg)
and of heme (PFe) upon interaction with CO.
The CH2···X interaction (X = Chemical">H2O, He, Ne, Ar,
and Kr) was found to be attractive for both the triplet 3CH2 and the <Chemical">span class="Chemical">singlet 1CH2 methylene.
The interaction is stronger with 1CH2 than with 3CH2, resulting in a lowering of the singlet–triplet
energy gap (ES–T). The LED analysis
of the CH2···H2O interaction
showed that electrostatics dominates the interaction for both spin
states of methylene. The lowering of ES–T can thus be understood in terms of the larger electrostatic interaction
in 1CH2···H2O than
that in 3CH2···H2O,
consistent with chemical intuition. In contrast, the interaction of
methylene with rare gases (Rg) is dominated by London dispersion forces
for both spin states. In this case, the lowering of ES–T arises from the stronger London dispersion
in 1CH2···Rg than that in 3CH2···Rg. This is consistent with
the larger polarizability of 1CH2 than that
of 3CH2.
As regards Chemical">heme systems, it was
found that the P<Chemical">span class="Chemical">Fe···CO
interaction is dominated by the correlation contribution for all the
spin states of PFe investigated in this work (1A1g, 3Eg, and 3A2g). Although
PFe is a triplet in its ground state, the PFe(1A1g)···CO interaction is significantly stronger than
the interaction of PFe in the two lowest-lying triplets (3Eg and 3A2g) with CO, leading to
a lowering of ES–T in the adduct.
In fact, the LED analysis demonstrated that PFe(3Eg)···CO and the PFe(3A2g)···CO adducts can be described as van der Waals complexes
stabilized by weak dispersion forces. In contrast, the PFe(1A1g)···CO bond can be described as a strong
donor/acceptor interaction in which electron density is transferred
from the carbon lone pair into the formally empty d orbital on the central iron atom (Fe(II) ←
CO σ-donation) and from the filled d and d orbitals into the π*
antibonding orbitals on the CO molecule (Fe(II) → CO π-backdonation).
It should be stressed here again that the results just discussed
reChemical">fer to the minimal <Chemical">span class="Chemical">porphyrin model in the gas phase. The presence
of heme side chains, solvent, or protein matrices may drastically
change the nature of the Fe···CO interaction, especially
for triplet heme adducts. However, the tools presented in this work
appear to be particularly powerful for the in-depth understanding
of intermolecular interactions in adducts with complicated electronic
structures, such as heme species.
Authors: Damián E Bikiel; Leonardo Boechi; Luciana Capece; Alejandro Crespo; Pablo M De Biase; Santiago Di Lella; Mariano C González Lebrero; Marcelo A Martí; Alejandro D Nadra; Laura L Perissinotti; Damián A Scherlis; Darío A Estrin Journal: Phys Chem Chem Phys Date: 2006-10-11 Impact factor: 3.676
Authors: Benjamin Rudshteyn; John L Weber; Dilek Coskun; Pierre A Devlaminck; Shiwei Zhang; David R Reichman; James Shee; Richard A Friesner Journal: J Chem Theory Comput Date: 2022-04-04 Impact factor: 6.578
Authors: Lars Rummel; Marvin H J Domanski; Heike Hausmann; Jonathan Becker; Peter R Schreiner Journal: Angew Chem Int Ed Engl Date: 2022-06-14 Impact factor: 16.823