Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

A step towards rational design of carbon nanobelts with tunable electronic properties

G. George , O. A. Stasyuk *, M. Solà * and A. J. Stasyuk *
Institut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, C/ Maria Aurèlia Capmany 69, 17003 Girona, Spain. E-mail: olga.stasyuk@udg.edu; antony.stasuk@gmail.com; miquel.sola@udg.edu

Received 12th August 2023 , Accepted 14th September 2023

First published on 15th September 2023


Abstract

Belt-shaped aromatic compounds are among the most attractive classes of radial π-conjugated nanocarbon molecules with unique physical and chemical properties. In this work, we computationally studied a number of all-carbon and heteroatom-bridged nanobelts, as well as their inclusion complexes with fullerene C60. Our results provide a useful guide for modulating the electronic properties of the nanobelts. An in-depth analysis of the ground and excited state properties of their complexes has allowed us to establish structure–property relationships and propose simple principles for the design of nanobelts with improved electron-donating properties suitable for photovoltaic applications.


1. Introduction

Design and synthesis of cyclic molecular nanocarbons has been a longstanding challenge and remains a platform for extensive research in chemistry. The synthesis of curved π-conjugated nanocarbons remained elusive for many years. Following breakthroughs in this field by the Bertozzi,1 Itami,2 and Yamago3 groups, cycloparaphenylenes (CPPs) ranging from 5 to 16, 18, and 20 phenylene units have emerged.4,5

Carbon nanobelts (CNBs) are segments of carbon nanotubes that require the cleavage of at least two C–C bonds to open their cylindrical framework.6 They have been of great interest to scientists for several decades because of their unique structure and promising applications as functional materials.7,8 The double-stranded carbon skeleton and radial π-conjugation make CNBs attractive candidates for optoelectronic applications9–12 due to their high photoluminescence efficiency13,14 and remarkable charge transport properties.9 CNBs exhibit similar electronic coupling to CPPs but significantly lower reorganization energy.15,16 This leads to faster hole mobility within the material, as seen in the simulated values: 0.36 cm2 V−1 s−1 for [6,6]CNB and 0.056 cm2 V−1 s−1 for [6]CPP.

The first synthesis and isolation of the armchair [6,6]CNB consisting exclusively of fully fused six-membered rings (6-MRs) was reported by Itami and co-workers in 2017.17 In 2018, the same authors reported the synthesis of larger [8,8] and [12,12]CNBs.18 Thereafter, chiral and zigzag CNBs were also successfully obtained.19–22 The progress made in these years attracted even more scientists and contributed to the subsequent rapid growth of this area.23–25

Nowadays, there are several main directions for expanding the CNB family. One of the directions is associated with the synthesis of aromatic belts containing nonhexagonal rings. An example of such a system is methylene-bridged cycloparaphenylenes ([n]MCPP).26,27 Very recently, Itami and co-workers synthesized [8]MCPP and [10]MCPP.28 They found some differences in the optical properties of MCPPs and CPPs as a function of size, caused by the holding of adjacent phenylene rings by the methylene bridge. In addition, significant attention was paid to the synthesis of CNBs with unique geometries such as twisted,29 bowl-shaped,30,31 and Möbius topologies,32 as well as to the inclusion of heteroatoms into the CNB structure.30,33–36 The addition of oxygen, sulfur or selenium heteroatoms lowers the HOMO energy level, suggesting that the modified CNBs are stable in air.37

It is well known that CPPs can accommodate fullerenes and other guest molecules due to their unique concave structure.38 Starting from the original example of [10]CPP⊃C60 by Iwamoto et al. in 2011, hundreds of CPP-based complexes have already been reported. The semiconductor properties of such host–guest complexes make them appealing for organic electronic devices like organic photovoltaics (OPVs) and organic field-effect transistors (OFETs), where fullerenes usually act as electron acceptors.39,40 Although host molecules have shown good electrical conductivity by themselves, encapsulation of C60 makes it even higher.41,42 Moreover, the complexation between nanocarbons and fullerenes, which are complementary in shape and size, can protect fullerenes from water and oxygen, known to disrupt the electron transfer process.

Since [10]MCPP has a diameter of 13.1 Å,28 which is similar to the diameter of [10]CPP (13.7 Å),43 the C60 fullerene can be placed inside its cavity. Currently, only a limited number of examples of all-carbon or heteroatom-doped nanobelts with encapsulated fullerenes are known,22,31 and their photophysical properties have not yet been studied. By modeling these complexes in both the ground and excited states, a possible relationship between the structure and characteristics of photoinduced electron transfer can be revealed.

In this work, we investigate the effects of the bridge between phenylene units on the properties of all-carbon and heteroatom-bridged nanobelts and their inclusion complexes with fullerenes. Based on the structure–property relationships, we propose several useful rules for designing nanobelts with desired electronic properties.

2. Computational methods

Optimization of geometries was performed using the B3LYP hybrid functional44–46 with Ahlrichs’ def2-SVP basis set47,48 and empirical D3 dispersion correction with Becke–Johnson damping49 using the ORCA 5.0.1 program.50,51 Orbital energies and vertical excitation energies (the latter using TDA formalism52) were calculated with the range-separated CAM-B3LYP functional53 and def2-SVP basis set,47,48 using Gaussian 16 (rev. A03).54 The same program was used to study the charge distribution according to the Mulliken,55 Hirshfeld,56 iterative Hirshfeld,57 CM5,58 NPA,59 and Merz–Singh–Kollman60 schemes. The interaction energies and their decomposition analysis (EDA)61,62 were calculated at the B3LYP-D3(BJ)/TZ2P//B3LYP-D3(BJ)/def2-SVP level of theory, using the Amsterdam Density Functional (ADF) program.63

3. Results and discussion

3.1. Methylene- vs. ethene-bridged carbon nanobelts

First, we will compare the geometrical structures and electronic properties of [10]CPP and two CNBs with methylene and ethene bridges. Formally, the mentioned CNBs differ from the “parent” CPP only in the type of bridges between phenylene units. The Kohn–Sham highest occupied molecular orbitals (HOMOs) and lowest unoccupied molecular orbitals (LUMOs) for the ground-state geometries of the mentioned molecules are given in Fig. 1. In all molecules, these orbitals are of the same nature and are delocalized over the phenylene units but not over the bridges. In the HOMO, between the phenylene units, there is an out-of-phase combination of p-orbitals of the C atoms, while in the LUMO this combination is in-phase.
image file: d3nr04045c-f1.tif
Fig. 1 Structure of [10]CPP and two CNBs (top), their frontier molecular orbitals (bottom left) and selected geometrical parameters (bottom right).

Comparison of the orbitals of [10]CPP with the orbitals of [10]MCPP (methylene-bridged) and [10]ECPP (ethene-bridged) revealed significant differences in their energies. For [10]MCPP, the HOMO energy is 0.7 eV higher compared to [10]CPP, while the difference in the LUMO energy is practically negligible. In contrast, [10]ECPP and [10]CPP show very similar HOMO energies, but the LUMO in [10]ECPP has an energy of about 0.3 eV lower compared to [10]CPP. To explain the observed difference in orbital energies, we compared the structural parameters of [10]CPP and the corresponding CNBs. We considered two types of deformation – out-of-plane twisting (dihedral angle D) and in-plane scissoring (angle α) of phenylene units. The first obvious difference between [10]CPP and both CNBs is the dihedral angle D between the phenylene units. In [10]CPP, this angle is about 32°, while in nanobelts the angle between the planes of two 6-MRs is close to zero. Reduced twisting of adjacent aromatic units improves conjugation in CNBs compared to [10]CPP due to the increase in the orbital overlap. The HOMO is destabilized due to increased out-of-phase orbital interactions, while the LUMO stabilizes because of increased in-phase interactions. Another notable difference is the bending angle α, defined as the angle between the two carbon atoms attached to the bridge and the center of the bond between the phenyl rings. The value of the angle α is maximal in [10]CPP (ca. 104°), and then gradually decreases to 97° in [10]ECPP and 82.5° in [10]MCPP. This is directly related to the disparity between the distances d1 and d2 in CNBs. As seen in Fig. 1, d1 and d2 are almost equal in [10]CPP, while d1 is significantly shorter (by ca. 0.89 Å) than d2 in [10]MCPP. Such bending increases the strain of the belt and destabilizes the HOMO and LUMO.

The geometrical distortion caused by the methylene or ethene bridges certainly contributes to the modulation of the electronic properties of CNBs. However, such a significant difference in the orbital energies of [10]ECPP and [10]MCPP suggests that the structural changes are not the only factor affecting these values. The electronic nature of the bridge also has a significant impact. To confirm this, we calculated partial charges on the bridges using the Merz–Singh–Kollman scheme.47 Despite the similar non-polar character of the methylene and ethene fragments, the calculation predicts a different charge distribution (Fig. 2). In particular, the average charge on each methylene bridge turned out to be 0.08e, while the charge on each ethene bridge was found to be negative and equal to −0.14e. Note that in phenanthrene, which is structurally similar to [10]ECPP, the charge on this fragment is −0.19e.


image file: d3nr04045c-f2.tif
Fig. 2 Structure, interaction energies (in kcal mol−1), and HOMO/LUMO energies of [10]CPP⊃C60, [10]MCPP⊃C60, and [10]ECPP⊃C60 complexes and their subunits, as well as the average charge on each bridge.

Thus, a significant shift in the orbital energies of the nanobelts compared to [10]CPP seems to be due to two main factors: pronounced structural deformation (bending and reduced twisting) and partial charge separation within the nanobelt.

An appropriate size of the [10]CPP cavity makes it an ideal host for the C60 fullerene.64 The similar sizes of [10]MCPP and [10]ECPP with the original [10]CPP prompted us to investigate their complexes with C60. Taking into account the different electronic nature of the studied carbon nanostructures, we expect to find notably different behaviors of their inclusion complexes in the ground and excited states.

Comparing the orbital energies of the [10]CPP⊃C60, [10]MCPP⊃C60, and [10]ECPP⊃C60 complexes, as well as their individual fragments, we see that fullerene binding has a rather weak effect on the HOMO and LUMO energies of individual fragments. Important to note is that, in the complexes, the HOMO is always localized on the host unit, while the LUMO remains on the C60 fullerene. Thus, the nanobelts act as an electron donor in complex with the fullerene, similar to CPP. The changes in the HOMO energies observed during the complex formation are less than 0.1 eV. The LUMO energy shifts by 0.3–0.4 eV, depending on the specific complex. Small changes in orbital energies upon complexation indicate that there is no or very little charge separation in the ground state (GS). This result was confirmed by the population analysis. For all complexes, the charge separation between the host and guest molecules does not exceed 0.1e (Table S1 in the ESI).

We calculated the interaction energy (ΔEint) between the host molecules and fullerene to assess the relative stability of the complexes. To increase the accuracy of results, we performed single-point energy calculations at the B3LYP-D3(BJ)/TZ2P level for the B3LYP-D3(BJ)/def2-SVP optimized structures. As shown in Table S2, increasing the basis set significantly affects the interaction energy values. For [10]CPP⊃C60, [10]MCPP⊃C60, and [10]ECPP⊃C60 systems, ΔEint was found to be −51.9, −66.9 and −65.3 kcal mol−1, respectively, at the B3LYP-D3(BJ)/TZ2P//B3LYP-D3(BJ)/def2-SVP level of theory. The ΔEint value for [10]CPP⊃C60 is in good agreement with the values obtained using the B97-D2 and TPSS-D3(BJ) functionals and def2-TZVP basis set.65 As can be seen, C60 forms stronger non-covalent interactions with nanobelts than with [10]CPP by more than 10 kcal mol−1. Previously, we showed that dispersion interactions play an important role in the stability of nanoring complexes with fullerenes.66–69 To understand the nature of interactions in nanobelt-based complexes, a Morokuma-type energy decomposition analysis (EDA) was performed for the interaction energy and compared with the EDA data for [10]CPP⊃C60 (Table 1).

Table 1 EDA results for [10]CPP⊃C60, [10]MCPP⊃C60 and [10]ECPP⊃C60 complexes obtained at B3LYP-D3(BJ)/TZ2P//B3LYP-D3(BJ)/def2-SVP
Complex Energy terms,a kcal mol−1
ΔEPauli ΔEelstat ΔEoi ΔEdisp ΔEint
a The percentage contributions to the sum of all attractive energy terms (ΔEelstat + ΔEoi + ΔEdisp) are listed in parentheses.
[10]CPP⊃C60 74.07 −36.43 (29%) −15.02 (12%) −74.56 (59%) −51.94
[10]MCPP⊃C60 107.24 −54.54 (31%) −23.00 (13%) −96.63 (55%) −66.94
[10]ECPP⊃C60 62.99 −31.12 (24%) −13.05 (10%) −84.09 (66%) −65.26


The analysis revealed that among the binding forces (electrostatic, orbital, and dispersion), the dispersion term is dominant with a contribution from 55 to 66%. The absolute values of ΔEdisp in nanobelt-based complexes are much higher than those in [10]CPP⊃C60, which is explained by the more extended structure of nanobelts. The second important term is electrostatic interactions. Contribution of this term was between 24 and 31%, depending on the system. The orbital interactions provide 12, 13, and 10% for the [10]CPP⊃C60, [10]MCPP⊃C60, and [10]ECPP⊃C60 complexes, correspondingly. The destabilizing term ΔEPauli for [10]MCPP⊃C60 is much larger than those for [10]CPP⊃C60 and [10]ECPP⊃C60 (107.2 vs. 74.1 and 63.0 kcal mol−1). This difference is directly related to the geometrical structure of the complexes. The diameter of [10]MCPP is about 0.4 Å smaller than that of [10]CPP and [10]ECPP (Fig. 1).

The topology of non-covalent interactions in the complexes was studied using QTAIM and NCI tools and is shown in Figs. S1–S3, ESI. As expected, π⋯π interactions between the host and guest molecules are dominant. For [10]ECPP⊃C60, bond critical points (BCPs) were found only between the carbon atoms of subunits, while for [10]MCPP⊃C60, BCPs were also detected between the hydrogen atoms of the methylene bridge and the carbon atoms of fullerenes. Thus, the [10]MCPP⊃C60 complex is characterized by more number of BCPs than [10]ECPP⊃C60 (30 vs. 24), which is in agreement with its stronger ΔEoi. The electron density, its Laplacian, and other topological parameters at BCPs related to non-covalent interactions are given in Table S3, ESI. The NCI isosurfaces demonstrate similar weak attractive dispersion interactions between the fragments in the [10]MCPP⊃C60 and [10]ECPP⊃C60 complexes. The reduced density gradient (RDG) plots and NCI isosurfaces are shown in Figs. S2 and S3, ESI.

Different orbital energies observed in the studied inclusion complexes suggest their different behaviors upon photoexcitation. We studied 80 lowest singlet excited states of each complex using the TDA-DFT method at the CAM-B3LYP-D3(BJ)/def2-SVP//B3LYP-D3(BJ)/def2-SVP level of theory. The CAM-B3LYP functional is highly suitable for modeling charge transfer processes in fullerene-based complexes.70 The complexes were divided into 2 fragments: guest C60 and host nanoring/nanobelts. All excited states were classified into three groups: (1) locally excited (LE) states with excitation on one of the fragments and very low charge separation, CS < 0.1e; (2) charge transfer (CT) states with CS > 0.8e between fragments, and (3) mixed states with 0.1e < CS < 0.8e. Table 2 contains the characteristics of the lowest excited states of each type.

Table 2 Excitation energy (Ex, eV), main singly excited configuration (HOMO(H)–LUMO(L)) with the largest squared coefficient in the configuration-interaction (CI coef.), oscillator strength (f), extent of charge transfer (CT, e) or localization of exciton (X) computed for [10]CPP⊃C60 in equilibrium and modified geometries, as well as for [10]ECPP⊃C60 and [10]MCPP⊃C60 in equilibrium geometries. All calculations were performed in the gas phase
  Supramolecular system
[10]CPP⊃C60 [10]ECPP⊃C60 [10]MCPP⊃C60
Equilibrium Generated from [10]ECPP⊃C60 Generated from [10]MCPP⊃C60
LEGuest (C60)
E x (S0 → Sn) 2.546 2.559 2.519 2.562 2.523
Transition (CI coef.) H−3 → L+1 (0.58) H−3 → L+2 (0.67) H−3 → L (0.60) H−4 → L (0.23) H−3 → L+1 (0.30)
f <0.001 <0.001 <0.001 <0.001 <0.001
X 0.952 0.966 0.940 0.960 0.929
LEHost ([10]XCPP)
E x (S0 → Sn) 3.493 2.789 3.146 3.274 3.009
Transition (CI coef.) H → L+6 (0.26) H → L+3 (0.71) H → L+7 (0.41) H−1 → L+3 (0.35) H → L+3 (0.31)
f <0.001 <0.001 1.581 0.006 <0.001
X 0.943 0.963 0.947 0.968 0.948
Most intense absorption band
E x (S0 → Sn) 3.885 3.385 3.146 3.937 3.556
Transition (CI coef.) H → L+7 (0.29) H → L+7 (0.42) H → L+7 (0.41) H → L+10 (0.18) H → L+7 (0.32)
f 1.586 2.761 1.581 3.998 1.897
Localization [10]CPP [10]CPP [10]CPP [10]ECPP [10]MCPP
X 0.801 0.936 0.947 0.818 0.850
CT ([10]XCPPC60)
E x (S0 → Sn) 2.759 2.400 2.153 2.816 2.183
Transition (CI coef.) H → L+1 (0.95) H → L+2 (0.95) H → L (0.93) H → L+2 (0.88) H → L (0.66)
f 0.007 0.001 0.002 <0.001 <0.001
CT 0.982 0.987 0.981 0.984 0.976


The energy of the lowest LEGuest state in [10]CPP⊃C60, [10]MCPP⊃C60 and [10]ECPP⊃C60 complexes is almost the same and lies at the range of 2.52–2.56 eV (Table 2). In turn, the energy of the lowest LEHost is higher in energy in all cases and its value strongly depends on the complex. For [10]CPP⊃C60, this value is 3.49 eV, while for the [10]ECPP⊃C60 and [10]MCPP⊃C60 complexes, the energy of this state is lower by 0.22 and 0.48 eV, respectively. The LEHost energy correlates with the energy difference between the occupied and unoccupied orbitals of the host for the corresponding transition (Table 3). The greater the difference between these orbitals, the higher the energy of the LEHost state. The oscillator strength for the lowest LE states of both types is very weak; however, excited states with high probability of light absorption were found within the studied energy range. In each case, this state is localized on the host unit.

Table 3 Energies of frontier molecular orbitals participating in LEHost and CT states for [10]XCPP⊃C60 and [10]CPP⊃C60 in non-equilibrium ([10]CPP) and equilibrium ([10]CPP=) geometries
Complex E(HOMO), eV E(LUMO), eV E(H–L), eV E(LEHost/CT), eV
LEHost ([10]XCPP)
[10]MCPP⊃C60 = −6.02 −1.09 4.93 3.01
[10]ECPP⊃C60 = −6.56 −1.28 5.28 3.27
[10]CPP⊃C60 = −6.59 −1.16 5.43 3.49
CT ([10]XCPPC60)
[10]MCPP⊃C60 = −6.02 −2.33 3.69 2.18
[10]ECPP⊃C60 = −6.54 −2.26 4.28 2.82
[10]CPP⊃C60 = −6.59 −2.37 4.22 2.76
LEHost ([10]XCPP)
[10]CPP⊃C60 (M) −5.92 −0.80 5.12 3.15
[10]CPP⊃C60 (E) −6.12 −1.42 4.70 2.79
CT ([10]XCPPC60)
[10]CPP⊃C60 (M) −5.92 −2.26 3.66 2.15
[10]CPP⊃C60 (E) −6.12 −2.26 3.86 2.40


Among the analyzed excited states, only one type of CT states was found. This corresponds to the electron transfer from the HOMO of the host to one of the three-fold degenerate LUMOs of the guest. The energy of the CT state is 2.76 eV for [10]CPP⊃C60. This is about 0.21 eV above the lowest excited state. When considering the complex with the methylene-bridged nanobelt, a significant decrease in the energy of the CT state by almost 0.6 eV was observed. This stabilization of the CT state in [10]MCPP⊃C60 makes it the lowest excited state. Interesting to note is that for the [10]ECPP⊃C60 complex, the bridge has an opposite effect, increasing the energy of the CT state compared to the original [10]CPP⊃C60. This adversely affects the population of such a state through the decay of the lowest LE state. The opposite effect of the bridge on the energy of the CT state is consistent with the increase and decrease in the HOMO–LUMO gap compared to the [10]CPP⊃C60 complex (Table 3). The gap change is mainly caused by a shift in the host HOMO. Thus, the methylene-bridged nanobelt with a more destabilized HOMO is more attractive for photoinduced electron transfer in the complex with C60. The frontier molecular orbitals representing the LE and CT states in the studied complexes are shown in Figs. S4–S6, ESI.

Additional calculations were performed to semi-quantitatively evaluate the electronic effect as well as the effect of geometric distortion caused by the bridge. In particular, we transformed [10]MCPP⊃C60 and [10]ECPP⊃C60 into two corresponding [10]CPP⊃C60, where the host geometry was preserved and all bridge fragments were replaced by hydrogen atoms with a fixed C–H distance of 1.09 Å (Fig. 3). As expected, such transformation almost did not affect the lowest LEGuest states – its energy changed by less than 0.01 eV. However, the changes that were made affected the LEHost states. The removal of the methylene bridge led to the destabilization of the corresponding LE state by 0.14 eV, while removal of the ethene bridge caused a strong stabilization of the LE state; its energy shifted from 3.27 to 2.79 eV. Similar changes were observed for CT states. In particular, the removal of the methylene bridge caused only minor changes in the CT state energy, but for [10]ECPP⊃C60, the removal of the bridge led to stabilization of the CT state by 0.42 eV (Fig. 3). Thus, the ethene bridge with partial negative charge destabilizes both the LE and CT states mainly due to the significant stabilization of the HOMO and increase in the orbital energy difference. In turn, the effect of the methylene bridge is less pronounced. Bearing in mind that this analysis was done without geometry relaxation, we assume that the observed changes characterize the electronic effect of the bridges.


image file: d3nr04045c-f3.tif
Fig. 3 Representative structure of [10]XCPP⊃C60 and [10]CPP⊃C60 in their non-equilibrium ([10]CPP) and equilibrium ([10]CPP=) geometries (top), as well as comparison of the LEHost (left) and CT state (right) energies for different geometries.

Relaxation of the non-equilibrium complexes obviously leads to the equilibrium [10]CPP⊃C60 structure. Thus, a comparison of the energies of the LE and CT states in non-equilibrium and equilibrium complexes will indicate geometric distortion effects. The data presented in Fig. 3 clearly show that the twisting of the phenylene units and the opening of the angle α observed during relaxation lead to destabilization of both the LE and CT states due to an increase in the energy difference between orbitals associated with the excitation. Geometry relaxation causes stabilization of both occupied and unoccupied orbitals of CPP, but the effect is more pronounced at the HOMO. Interesting to note is that changing the geometry affects the LE and CT states of [10]MCPP⊃C60 and [10]ECPP⊃C60 differently. In particular, structural changes have a stronger effect on the LEHost states in [10]ECPP⊃C60E = 0.70 eV) and on the CT states in [10]MCPP⊃C60E = 0.61 eV).

Summing up, we have successfully distinguished the electronic and geometric factors that affect the energies of the LEHost and CT states of the complexes based on CPP and CNBs. The electronic effects in CNBs are in good agreement with the partial charge on the bridge. Negative charge stabilizes the HOMO of the electron donor, thereby destabilizing both the LEHost and CT states. Small positive charge weakly affects the CT state and stabilizes the LEHost. At the same time, geometry change upon introduction of bridges leads to the stabilization of the LE and CT states in all cases, mainly due to destabilization of the donor HOMO. Since we are interested in the process of electron transfer, which depends on the energy of the nanobelt HOMO, the changes caused by methylene bridges are more favorable than those of ethene bridges.

3.2. Heteroatom-bridged nanobelts

In the previous section, we demonstrated that the electron-donating properties of the methylene-bridged nanobelt in the complex with fullerene are better that those of [10]CPP and the ethene-bridged nanobelt. The inclusion of heteroatoms instead of the methylene bridge can further modify both the geometrical structure and electronic properties of nanobelts, as well as improve the electron transfer characteristics of their fullerene inclusion complexes. Taking into account the recent advances in the synthesis of heteroatom-embedded carbon nanobelts,23,25,26 we constructed the N, O, and S analogs of [10]MCPP⊃C60, and studied their excited state properties.

As can be seen in Fig. 4, the studied complexes can be divided into two main groups depending on the HOMO energy. The first group consists of the [10]MCPP⊃C60 and [10]NCPP⊃C60 complexes, in which the HOMO energy is higher than that in the original [10]CPP⊃C60 (HOMO = −6.59 eV). The second group consists of the [10]OCPP⊃C60 and [10]SCPP⊃C60 complexes, in which the HOMO lies lower than that in [10]CPP⊃C60. We compared some selected characteristics of the complexes to find the reason for their different orbital energies (Table 4).


image file: d3nr04045c-f4.tif
Fig. 4 Structure, interaction energies (in kcal/mol), and HOMO/LUMO energies (in eV) of [10]MCPP⊃C60, [10]NCPP⊃C60, [10]OCPP⊃C60, and [10]SCPP⊃C60 complexes. HL corresponds to the HOMO–LUMO gap.
Table 4 Selected characteristics of the [10]MCPP⊃C60, [10]NCPP⊃C60, [10]OCPP⊃C60, and [10]SCPP⊃C60 complexes and unbridged, undistorted [10]CPP⊃C60 as a reference
Parameter [10]CPP⊃C60 [10]MCPP⊃C60 [10]NCPP⊃C60 [10]OCPP⊃C60 [10]SCPP⊃C60
a The average Merz–Singh–Kollman charge on each bridge.
∠α, ° 103.6 82.6 79.1 77.7 87.0
∠D, ° 28.82 0.04 0.02 0.02 0.03
d1, Å 2.982 2.365 2.268 2.208 2.511
d2, Å 2.981 3.238 3.299 3.340 3.147
|d2 − d1|, Å 0.001 0.872 1.031 1.132 0.635
Radius, Å 6.890 6.676 6.630 6.588 6.734
q (bridge), ea n/a 0.09 −0.10 −0.30 −0.10


The comparison of the data for the complexes of the first group shows that the similar values of the HOMO energy were caused by different effects. As we mentioned earlier, the electronic properties of [10]MCPP⊃C60 are determined by two factors – geometrical distortion and partial positive charge on the methylene bridge (both push the HOMO up). In the [10]NCPP⊃C60 complex, the geometry deformation is even stronger (smaller ∠α and bigger |d2 − d1| difference), but the bridge in this case is negatively charged. Thus, the geometrical effect destabilizes the HOMO, while the partial negative charge on the NH-bridge acts oppositely and reduces the HOMO energy.

In the second group, both O- and S- bridges are negatively charged. As expected, the negative charge on the O-bridge is significantly higher than that on the S-bridge (−0.30e vs. −0.10e), suggesting stronger HOMO stabilization in the case of [10]OCPP⊃C60. Although geometrical distortion in [10]OCPP⊃C60, which causes destabilization of the HOMO, is the largest among the studied complexes, the electronic effect of the O-bridge dominates and its HOMO lies lower than that in [10]CPP⊃C60. In [10]SCPP⊃C60, the negative charge on the S-bridge is less than that on the O-bridge and geometry deformation is also less pronounced: ∠α is equal to 77.7° and 87.0°, and |d2 − d1| is 1.132 and 0.635 Å for the [10]OCPP⊃C60 and [10]SCPP⊃C60 complexes, respectively. The HOMO of this complex is the lowest among all the complexes, therefore [10]SCPP is the worst donor among the studied nanobelts.

Important to note is that the interaction energy in [10]OCPP⊃C60 is about 10 kcal mol−1 less than those in other heteroatom-bridged nanobelts. Energy decomposition analysis showed that the stronger Pauli repulsion caused by a smaller diameter of the [10]OCPP nanobelt is the main factor for this finding. The EDA results for the heteroatom-bridged nanobelts are given in Table S4, ESI.

To describe the photoinduced electron transfer properties of these complexes, we analyzed the lowest 80 singlet excited states (Table 5). In all complexes, the lowest LE state is localized on the C60 fullerene. The lowest LEHost state is 0.50–0.65 eV higher in energy compared to the lowest LEGuest. Despite the different geometric characteristics, all complexes have relatively close values of the LEHost energy. This agrees well with the observation made for [10]MCPP⊃C60, namely, that the geometric distortion caused by the bridge affects the LE states less than the CT states.

Table 5 Excitation energy (Ex, eV), main singly excited configuration (HOMO(H)–LUMO(L)) with the largest squared coefficient in the configuration-interaction (CI coef.), oscillator strength (f), extent of charge transfer (CT, e) or localization of exciton (X) computed for [10]MCPP⊃C60, [10]NCPP⊃C60, [10]OCPP⊃C60 and [10]SCPP⊃C60 in the gas phase
  Supramolecular system
  [10]MCPP⊃C60 [10]NCPP⊃C60 [10]OCPP⊃C60 [10]SCPP⊃C60
a Mixed state with significant contributions of both LE and CT.
LEGuest (C60)
E x (S0 → Sn) 2.523 2.514 2.526 2.539
Transition (CI coef.) H−3–L+1 (0.30) H−9–L+1 (0.39) H−2–L (0.21) H−5–L (0.47)
f <0.001 <0.001 <0.001 <0.001
X 0.929 0.837 0.926 0.949
LEHost ([10]XCPP)
E x (S0 → Sn) 3.009 3.174 3.037 3.154
Transition (CI coef.) H–L+3 (0.31) H−1–L+3 (0.59) H–L+3 (0.73) H–L+3(0.71)
f <0.001 0.139 <0.001 <0.001
X 0.948 0.938 0.964 0.968
Most intense absorption band
E x (S0 → Sn) 3.556 3.480 3.627a 3.717
Transition (CI coef.) H–L+7 (0.32) H–L+7 (0.24) H–L+6 (0.21) H–L+6 (0.38)
f 1.897 1.194 0.703 1.852
Localization [10]MCPP [10]NCPP/C60 [10]OCPP/C60 [10]SCPP
X 0.850 0.55/0.35 0.48/0.27 0.893
CT ([10]XCPPC60)
E x (S0 → Sn) 2.183 2.101 2.684 2.859
Transition (CI coef.) H–L (0.66) H–L+1 (0.61) H–L (0.74) H–L (0.75)
f <0.001 0.001 0.002 0.001
CT 0.976 0.972 0.975 0.976


In the [10]MCPP⊃C60 and [10]NCPP⊃C60 complexes, the CT states corresponding to the electron transfer from the nanobelt to C60 are the lowest excited states and can be experimentally observed. This CT state is 0.34 and 0.41 eV more stable than the lowest LE states of [10]MCPP⊃C60 and [10]NCPP⊃C60. In turn, for [10]OCPP⊃C60 and [10]SCPP⊃C60 complexes, the CT states with 0.98e transferred lie 0.16 and 0.32 eV higher in energy than the lowest LE states. No other types of CT states were found within the studied number of excited states. The frontier MOs representing the LE and CT states for all complexes are shown in Figs. S7–S9, ESI.

3.3. Environmental effects and electron transfer rates

The COSMO-like model with dichloromethane (DCM) as a solvent was used to study the effect of the polar environment on electronic excitation.71,72 The application of this model previously showed a good agreement between the results of calculations and experimental data for the CPP-based inclusion complexes and other donor–acceptor conjugates.67,73–75 The dipole moment of all studied complexes was calculated to be smaller than 0.1 D. Low dipole moment of the complexes can be explained by the high symmetry of the units (nanobelts and C60) and their symmetric mutual arrangement. The GS solvation energies of [10]CPP⊃C60, [10]ECPP⊃C60, [10]MCPP⊃C60, [10]OCPP⊃C60 and [10]SCPP⊃C60 range from −0.39 to −0.52 eV. However, the solvation energy of [10]NCPP⊃C60 was estimated to be −0.98 eV. To explain this difference, we compared the molecular electrostatic potentials (MEP) of the complexes (Fig. S10, ESI). In the [10]CPP⊃C60, [10]ECPP⊃C60, [10]MCPP⊃C60, and [10]SCPP⊃C60 complexes, the MEP isosurface is almost evenly distributed over the host unit, therefore, certain charged regions cannot be distinguished. At the same time, the [10]OCPP⊃C60 and [10]NCPP⊃C60 complexes clearly show spots, in which the negative charge is localized. Important to note is that, in contrast to [10]NCPP⊃C60, in [10]OCPP⊃C60, the negatively charged regions are surrounded by the zones with opposite charges. As expected, a close location of positively and negatively charged regions on the MEP of [10]OCPP⊃C60 reduces its solvation energy compared to [10]NCPP⊃C60.

Changes in the dipole moment during the transition from the GS to any of the LE states are quite small and does not exceed 0.2 D; thus, the solvation energies of these states are very close to each other. The solvation energies of the CT states do not differ much from the solvation energies of the GS and LE states due to the high symmetry of the complexes and the extensive charge delocalization in C60 and the nanobelt. Details of solvation in DCM are given in Table S5, ESI. Important to note is that the CT state is the lowest excited state in DCM only in [10]MCPP⊃C60 and [10]NCPP⊃C60, as in the gas phase. In all other cases, the stabilization of the CT state by the solvent is not enough to reorder the CT and LE states. The energies of the LE and CT states of all complexes in a vacuum and DCM are shown in Fig. 5.


image file: d3nr04045c-f5.tif
Fig. 5 Relative energies of the LE and CT states (in eV) for [10]CPP⊃C60, [10]ECPP⊃C60, [10]MCPP⊃C60, [10]NCPP⊃C60, [10]OCPP⊃C60, and [10]SCPP⊃C60 complexes calculated under vacuum (VAC) and in dichloromethane (DCM).

Similar to the complexes of all-carbon nanobelts, the CT states of the complexes with heteroatom-bridged nanobelts have a very low probability of light absorption, and therefore cannot be directly populated. Thus, a decay of the lowest LE state (LEGuest) was considered as the main channel for generating states with election transfer. The semi-classical method of Ulstrup and Jortner76,77 was used to calculate the rates of electron transfer (kET) and charge recombination (kCR) processes. The rates were estimated using an effective frequency of 1600 cm−1, corresponding to the C[double bond, length as m-dash]C bond stretching. Earlier, it was established that varying the effective frequency from 1400 to 1800 cm−1 does not significantly affect the electron transfer rate for similar systems.75,78,79 Our assessment on selected complexes, [10]MCPP⊃C60 and [10]NCPP⊃C60, confirms the negligible impact of the effective frequency on the calculated ET rate (Table S6, ESI). Important parameters controlling the kET and kCR rates in DCM are listed in Table 6.

Table 6 Gibbs energy (ΔG°, eV), electronic coupling (|Vij|, eV), reorganization energy (λ, eV), Huang–Rhys factor (Seff), activation energy (Ea, eV) and rates (kx, s−1) of ET and CR processes in [10]CPP⊃C60, [10]ECPP⊃C60, [10]MCPP⊃C60, [10]NCPP⊃C60, [10]OCPP⊃C60, and [10]SCPP⊃C60 calculated in DCM
Complex ΔG°a |Vij| λ E a S eff k x
λ int λ solv
a ΔG° is approximated by the difference in the solvated electronic energies of the corresponding states. b Activation energy for the LEGuest → CT reaction. c Effective value of the Huang–Rhys factor Seff = λI/ħωeff, where ħωeff is set to 1600 cm−1.
Electron transfer (LE Guest → CT)
[10]CPP⊃C60 0.140 1.31 × 10−4 0.170 0.147 0.140 0.857 1.37 × 106
[10]ECPP⊃C60 0.111 1.01 × 10−4 0.204 0.135 0.112 1.028 2.13 × 106
[10]MCPP⊃C60
GS geometry −0.370 2.87 × 10−4 0.215 0.128 0.011 1.084 1.37 × 109
LE relaxed geometry −0.477 3.30 × 10−4 0.207 0.138 0.018 1.043 1.20 × 109
[10]NCPP⊃C60
GS geometry −0.344 3.14 × 10−4 0.220 0.143 0.012 1.109 1.76 × 109
LE relaxed geometry −0.447 1.42 × 10−4 0.213 0.139 0.019 1.074 2.48 × 109
[10]OCPP⊃C60 0.110 9.24 × 10−5 0.208 0.160 0.114 1.049 1.49 × 106
[10]SCPP⊃C60 0.239 8.86 × 10−5 0.140 0.152 0.251 0.706 4.14 × 104
Charge recombination (CT → GS)
[10]MCPP⊃C60
GS geometry −2.160 1.79 × 10−4 0.163 0.128 0.019 0.822 2.48 × 102
CT relaxed geometry −1.898 2.17 × 10−4 0.161 0.150 0.032 0.812 1.21 × 103
[10]NCPP⊃C60
GS geometry −2.215 2.50 × 10−4 0.175 0.143 0.022 0.882 6.02 × 102
CT relaxed geometry −1.950 3.72 × 10−4 0.170 0.152 0.029 0.857 3.26 × 103


Table 6 shows that the electron transfer reactions in the complexes are characterized by moderate reorganization energies ranging from 0.29 to 0.37 eV. The LEGuest → CT charge separation process in the [10]CPP⊃C60, [10]ECPP⊃C60, [10]OCPP⊃C60, and [10]SCPP⊃C60 complexes is unlikely due to the positive Gibbs energy. Such states are barely populated and therefore hard to detect. At the same time, the electron transfer in the [10]MCPP⊃C60 and [10]NCPP⊃C60 complexes is favorable and proceeds almost barrier-free in the normal Marcus regime (|ΔG°| ≤ λ). The calculated rate constants indicate sub-nanosecond charge separation between C60 and [10]MCPP/[10]NCPP nanobelts. Considering that the electronic coupling values for the studied complexes exhibit fairly similar values, the rate of the charge separation process correlates well with the activation energies. In particular, the [10]MCPP⊃C60 and [10]NCPP⊃C60 complexes, with the fastest electron transfer rates, are characterized by the smallest activation energy values. On the other hand, the activation energies for the [10]CPP⊃C60, [10]ECPP⊃C60, [10]OCPP⊃C60, and [10]SCPP⊃C60 complexes are more than an order of magnitude higher, resulting in significantly slower electron transfer.

The generated CT states usually decay to the ground state in the charge recombination process. We considered this process only for [10]MCPP⊃C60 and [10]NCPP⊃C60, since other complexes are characterized by a low probability of the CT generation. The charge recombination proceeds in the deep inverted Marcus region (|ΔG°| ≫ λ) and its rates are dramatically lower (by more than 5 orders of magnitude) compared to the charge separation rates.

Internal geometry reorganization can be an important factor that affects the lifetime of the CT state.80 Thus, we studied the effect of geometry relaxation of the LEGuest and CT states on the rates of charge separation and recombination in the [10]MCPP⊃C60 and [10]NCPP⊃C60 complexes (Table 6). For the charge separation, this effect is rather small. The changes in ΔG° values are about 0.1 eV, while the kET rates change insignificantly. In turn, for the charge recombination, the relaxation of the CT state geometry leads to an increase in kCR. The CR rates for the relaxed geometries are about 5 times higher than the rates estimated for the GS geometries. Since the CR rates are always much slower than the corresponding ET rates, regardless of the geometry relaxation effect, this suggests a sufficient lifetime of the CT state for efficient charge separation.

4. Conclusions

In this work, we considered a series of nanobelts with different bridges between phenylene units, as well as their host–guest complexes with fullerene. To estimate the effect of the bridge, we compared the properties of the CNB-based complexes with those of the CPP-based ones. As a result, we successfully distinguished the electronic and geometric components of the bridge effect on the HOMO energy of the belts. From our results, we can formulate the following basic principles for the design of novel nanobelts with better electron-donating properties:

(1) Given that the electronic effect of the bridge depends on its charge, nanobelts with a partially positive charged bridge will have a more destabilized HOMO and therefore will be better donors of electrons.

(2) Given that the geometric distortion of CPP leads to energetic destabilization of its HOMO, nanobelts with reduced out-of-plane twisting and increased in-plane bending of adjacent phenylene units will be the best option.

(3) When designing nanobelts, both electronic and geometric components should be taken into account, since the overall effect on the electronic properties of nanobelts is additive to some extent.

Destabilization of the HOMO of nanobelts facilitates the electron transfer from the nanobelt to fullerene and makes the CT state the most stable among the excited states. Analysis of the excited states revealed the sub-nanosecond charge separation and slow charge recombination in [10]MCPP⊃C60 and [10]NCPP⊃C60, confirming that [10]MCPP and [10]NCPP are the best donors among the studied nanobelts. These two nanobelts are illustrative examples of the usefulness of the proposed rules.

Conflicts of interest

There are no conflicts to declare.

Author contributions

G. G.: investigation and formal analysis. O. A. S.: investigation, formal analysis, writing – original draft, and writing – review and editing. A. J. S.: investigation, supervision, and writing – review and editing. M. S.: supervision, writing – review and editing, and funding acquisition.

Acknowledgements

We are grateful for financial support from the Spanish Ministerio de Ciencia e Innovación (Network RED2018-102815-T, project PID2020-113711GB-I00, and Juan de la Cierva contract IJC2019-039846-I to A. J. S.), the Catalan Conselleria de Recerca i Universitats of the Generalitat de Catalunya (project 2021SGR623 and contract 2020 FISDU 00345 to G. G.) and the University of Girona (María Zambrano fellowship REQ2021_C_31 to O. A. S.). A. J. S. gratefully acknowledges Poland's high-performance computing infrastructure PLGrid (HPC Centers: ACK Cyfronet AGH) for providing computer facilities and support within computational grant no. PLG/2022/015756.

References

  1. R. Jasti, J. Bhattacharjee, J. B. Neaton and C. R. Bertozzi, J. Am. Chem. Soc., 2008, 130, 17646–17647 CrossRef CAS PubMed.
  2. H. Takaba, H. Omachi, Y. Yamamoto, J. Bouffard and K. Itami, Angew. Chem., Int. Ed., 2009, 48, 6112–6116 CrossRef CAS PubMed.
  3. S. Yamago, Y. Watanabe and T. Iwamoto, Angew. Chem., Int. Ed., 2010, 49, 757–759 CrossRef CAS PubMed.
  4. E. S. Hirst and R. Jasti, J. Org. Chem., 2012, 77, 10473–10478 CrossRef CAS PubMed.
  5. S. E. Lewis, Chem. Soc. Rev., 2015, 44, 2221–2304 RSC.
  6. K. Y. Cheung, Y. Segawa and K. Itami, Chem. – Eur. J., 2020, 26, 14791–14801 CrossRef CAS PubMed.
  7. Y. Segawa, D. R. Levine and K. Itami, Acc. Chem. Res., 2019, 52, 2760–2767 CrossRef CAS PubMed.
  8. M. Hermann, D. Wassy and B. Esser, Angew. Chem., Int. Ed., 2021, 60, 15743–15766 CrossRef CAS PubMed.
  9. J. Lin, S. Wang, F. Zhang, B. Yang, P. Du, C. Chen, Y. Zang and D. Zhu, Sci. Adv., 2022, 8, eade4692 CrossRef CAS PubMed.
  10. L. Jones, L. Lin and T. W. Chamberlain, Nanoscale, 2018, 10, 7639–7648 RSC.
  11. G. Aydın, O. Koçak, C. Güleryüz and I. Yavuz, New J. Chem., 2020, 44, 15769–15775 RSC.
  12. L. O. Jones, M. A. Mosquera, G. C. Schatz and M. A. Ratner, Chem. Mater., 2019, 31, 6506–6518 CrossRef CAS.
  13. D. H. Ahn and J. W. Song, J. Comput. Chem., 2021, 42, 505–515 CrossRef CAS PubMed.
  14. V. M. Freixas, N. Oldani, R. Franklin-Mergarejo, S. Tretiak and S. Fernandez-Alberti, J. Phys. Chem. Lett., 2020, 11, 4711–4719 CrossRef CAS PubMed.
  15. J. B. Lin, E. R. Darzi, R. Jasti, I. Yavuz and K. N. Houk, J. Am. Chem. Soc., 2019, 141, 952–960 CrossRef CAS PubMed.
  16. G. Aydın, O. Koçak, C. Güleryüz and I. Yavuz, New J. Chem., 2020, 44, 15769–15775 RSC.
  17. G. Povie, Y. Segawa, T. Nishihara, Y. Miyauchi and K. Itami, Science, 2017, 356, 172–175 CrossRef CAS PubMed.
  18. G. Povie, Y. Segawa, T. Nishihara, Y. Miyauchi and K. Itami, J. Am. Chem. Soc., 2018, 140, 10054–10059 CrossRef CAS PubMed.
  19. Y. Han, S. Q. Dong, J. W. Shao, W. Fan and C. Y. Chi, Angew. Chem., Int. Ed., 2021, 60, 2658–2662 CrossRef CAS PubMed.
  20. K. Y. Cheung, K. Watanabe, Y. Segawa and K. Itami, Nat. Chem., 2021, 13, 255 CrossRef CAS PubMed.
  21. K. Y. Cheung, S. J. Gui, C. F. Deng, H. F. Liang, Z. M. Xia, Z. Liu, L. F. Chi and Q. Miao, Chem, 2019, 5, 838–847 CAS.
  22. H. Chen, Z. M. Xia and Q. Miao, Chem. Sci., 2022, 13, 2280–2285 RSC.
  23. Y. Li, H. Kono, T. Maekawa, Y. Segawa, A. Yagi and K. Itami, Acc. Mater. Res., 2021, 2, 681–691 CrossRef CAS.
  24. Q. H. Guo, Y. Y. Qiu, M. X. Wang and J. F. Stoddart, Nat. Chem., 2021, 13, 402–419 CrossRef CAS PubMed.
  25. H. Chen and Q. Miao, J. Phys. Org. Chem., 2020, 33, e4145 CrossRef CAS.
  26. Y. Li, Y. Segawa, A. Yagi and K. Itami, J. Am. Chem. Soc., 2020, 142, 12850–12856 CrossRef CAS PubMed.
  27. N. Kai, H. Kono, A. Yagi and K. Itami, Synlett, 2023, 34, 1433–1436 CrossRef CAS.
  28. H. Kono, Y. Li, R. Zanasi, G. Monaco, F. F. Summa, L. T. Scott, A. Yagi and K. Itami, J. Am. Chem. Soc., 2023, 145, 8939–8946 CrossRef CAS PubMed.
  29. W. Fan, T. Matsuno, Y. Han, X. Wang, Q. Zhou, H. Isobe and J. Wu, J. Am. Chem. Soc., 2021, 143, 15924–15929 CrossRef CAS PubMed.
  30. J. Xie, X. Li, S. Wang, A. Li, L. Jiang and K. Zhu, Nat. Commun., 2020, 11, 3348 CrossRef CAS PubMed.
  31. X. Lu, T. Y. Gopalakrishna, Y. Han, Y. Ni, Y. Zou and J. Wu, J. Am. Chem. Soc., 2019, 141, 5934–5941 CrossRef CAS PubMed.
  32. Y. Segawa, T. Watanabe, K. Yamanoue, M. Kuwayama, K. Watanabe, J. Pirillo, Y. Hijikata and K. Itami, Nat. Synth., 2022, 1, 535–541 CrossRef.
  33. J. Zhu, Y. Han, Y. Ni, G. Li and J. Wu, J. Am. Chem. Soc., 2021, 143, 2716–2721 CrossRef CAS PubMed.
  34. F. Zhang, X.-S. Du, D.-W. Zhang, Y.-F. Wang, H.-Y. Lu and C.-F. Chen, Angew. Chem., Int. Ed., 2021, 60, 15291–15295 CrossRef CAS PubMed.
  35. H. Chen, S. J. Gui, Y. Q. Zhang, Z. F. Liu and Q. Miao, CCS Chem., 2021, 3, 613–619 CrossRef CAS.
  36. M.-L. Tan, Q.-H. Guo, X.-Y. Wang, T.-H. Shi, Q. Zhang, S.-K. Hou, S. Tong, J. You and M.-X. Wang, Angew. Chem., Int. Ed., 2020, 59, 23649–23658 CrossRef CAS PubMed.
  37. L. Jones, L. Lin and T. W. Chamberlain, Nanoscale, 2018, 10, 7639–7648 RSC.
  38. T. Kawase, K. Tanaka, N. Fujiwara, H. R. Darabi and M. Oda, Angew. Chem., Int. Ed., 2003, 42, 1624–1628 CrossRef CAS PubMed.
  39. Q. Huang, G. Zhuang, H. Jia, M. Qian, S. Cui, S. Yang and P. Du, Angew. Chem., Int. Ed., 2019, 58, 6244–6249 CrossRef CAS PubMed.
  40. Y. Xu, B. Wang, R. Kaur, M. B. Minameyer, M. Bothe, T. Drewello, D. M. Guldi and M. von Delius, Angew. Chem., Int. Ed., 2018, 57, 11549–11553 CrossRef CAS PubMed.
  41. J. C. Barnes, E. J. Dale, A. Prokofjevs, A. Narayanan, I. C. Gibbs-Hall, M. Juríček, C. L. Stern, A. A. Sarjeant, Y. Y. Botros, S. I. Stupp and J. F. Stoddart, J. Am. Chem. Soc., 2015, 137, 2392–2399 CrossRef CAS PubMed.
  42. S. Wang, X. Li, X. Zhang, P. Huang, P. Fang, J. Wang, S. Yang, K. Wu and P. Du, Chem. Sci., 2021, 12, 10506–10513 RSC.
  43. J. Xia, J. W. Bacon and R. Jasti, Chem. Sci., 2012, 3, 3018–3021 RSC.
  44. A. D. Becke, J. Chem. Phys., 1993, 98, 5648–5652 CrossRef CAS.
  45. C. Lee, W. Yang and R. G. Parr, Phys. Rev. B: Condens. Matter Mater. Phys., 1988, 37, 785–789 CrossRef CAS PubMed.
  46. P. J. Stephens, F. J. Devlin, C. F. Chabalowski and M. J. Frisch, J. Phys. Chem., 1994, 98, 11623–11627 CrossRef CAS.
  47. F. Weigend and R. Ahlrichs, Phys. Chem. Chem. Phys., 2005, 7, 3297–3305 RSC.
  48. F. Weigend, Phys. Chem. Chem. Phys., 2006, 8, 1057–1065 RSC.
  49. S. Grimme, J. Antony, S. Ehrlich and H. Krieg, J. Chem. Phys., 2010, 132, 154104 CrossRef PubMed.
  50. F. Neese, Wiley Interdiscip. Rev.: Comput. Mol. Sci., 2022, 12, e1606 Search PubMed.
  51. ORCA – an ab initio density functional, and semiempirical program package, version 5.0.3  Search PubMed.
  52. S. Hirata and M. Head-Gordon, Chem. Phys. Lett., 1999, 314, 291–299 CrossRef CAS.
  53. T. Yanai, D. P. Tew and N. C. Handy, Chem. Phys. Lett., 2004, 393, 51–57 CrossRef CAS.
  54. M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, G. A. Petersson, H. Nakatsuji, X. Li, M. Caricato, A. V. Marenich, J. Bloino, B. G. Janesko, R. Gomperts, B. Mennucci, H. P. Hratchian, J. V. Ortiz, A. F. Izmaylov, J. L. Sonnenberg, D. Williams-Young, F. Ding, F. Lipparini, F. Egidi, J. Goings, B. Peng, A. Petrone, T. Henderson, D. Ranasinghe, V. G. Zakrzewski, J. Gao, N. Rega, G. Zheng, W. Liang, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, K. Throssell, J. A. Montgomery Jr., J. E. Peralta, F. Ogliaro, M. J. Bearpark, J. J. Heyd, E. N. Brothers, K. N. Kudin, V. N. Staroverov, T. A. Keith, R. Kobayashi, J. Normand, K. Raghavachari, A. P. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi, J. M. Millam, M. Klene, C. Adamo, R. Cammi, J. W. Ochterski, R. L. Martin, K. Morokuma, O. Farkas, J. B. Foresman and D. J. Fox, Gaussian 16 Rev. C.01, Wallingford, CT, 2016 Search PubMed.
  55. R. S. Mulliken, J. Chem. Phys., 1955, 23, 1833–1840 CrossRef CAS.
  56. F. L. Hirshfeld, Theor. Chim. Acta, 1977, 44, 129–138 CrossRef CAS.
  57. P. Bultinck, C. V. Alsenoy, P. W. Ayers and R. Carbó-Dorca, J. Chem. Phys., 2007, 126, 144111 CrossRef PubMed.
  58. A. V. Marenich, S. V. Jerome, C. J. Cramer and D. G. Truhlar, J. Chem. Theory Comput., 2012, 8, 527–541 CrossRef CAS PubMed.
  59. A. E. Reed, R. B. Weinstock and F. Weinhold, J. Chem. Phys., 1985, 83, 735–746 CrossRef CAS.
  60. U. C. Singh and P. A. Kollman, J. Comput. Chem., 1984, 5, 129–145 CrossRef CAS.
  61. T. Ziegler and A. Rauk, Theor. Chim. Acta, 1977, 46, 1–10 CrossRef CAS.
  62. K. Morokuma, Acc. Chem. Res., 1977, 10, 294–300 CrossRef CAS.
  63. ADF 2018, SCM, Theoretical Chemistry, Vrije Universiteit, Amsterdam, The Netherlands, https://www.scm.com.
  64. T. Iwamoto, Y. Watanabe, T. Sadahiro, T. Haino and S. Yamago, Angew. Chem., Int. Ed., 2011, 50, 8342–8344 CrossRef CAS PubMed.
  65. I. González-Veloso, J. Rodríguez-Otero and E. M. Cabaleiro-Lago, Phys. Chem. Chem. Phys., 2019, 21, 16665–16675 RSC.
  66. G. George, O. A. Stasyuk, A. A. Voityuk, A. J. Stasyuk and M. Solà, Nanoscale, 2023, 15, 1221–1229 RSC.
  67. O. A. Stasyuk, A. J. Stasyuk, M. Solà and A. A. Voityuk, J. Nanostruct. Chem., 2022 DOI:10.1007/s40097-022-00518-w.
  68. O. A. Stasyuk, A. J. Stasyuk, M. Solà and A. A. Voityuk, Chem. – Eur. J., 2021, 27, 8737–8744 CrossRef CAS PubMed.
  69. O. A. Stasyuk, A. J. Stasyuk, M. Solà and A. A. Voityuk, ChemPhysChem, 2022, 23, e202200226 CrossRef CAS PubMed.
  70. P. Besalú-Sala, A. A. Voityuk, J. M. Luis and M. Solà, Phys. Chem. Chem. Phys., 2021, 23, 5376–5384 RSC.
  71. A. Klamt and G. Schüürmann, J. Chem. Soc., Perkin Trans. 2, 1993, 799–805 RSC.
  72. A. Klamt, J. Phys. Chem., 1996, 100, 3349–3353 CrossRef CAS.
  73. A. J. Stasyuk, O. A. Stasyuk, M. Solà and A. A. Voityuk, J. Phys. Chem. B, 2020, 124, 9095–9102 CrossRef CAS PubMed.
  74. A. J. Stasyuk, O. A. Stasyuk, M. Solà and A. A. Voityuk, Chem. Commun., 2019, 55, 11195–11198 RSC.
  75. A. J. Stasyuk, O. A. Stasyuk, M. Solà and A. A. Voityuk, Chem. Commun., 2020, 56, 12624–12627 RSC.
  76. J. Ulstrup and J. Jortner, J. Chem. Phys., 1975, 63, 4358–4368 CrossRef CAS.
  77. J. Jortner, J. Chem. Phys., 1976, 64, 4860–4867 CrossRef CAS.
  78. T. Liu and A. Troisi, J. Phys. Chem. C, 2011, 115, 2406–2415 CrossRef CAS.
  79. O. A. Stasyuk, A. J. Stasyuk, M. Solà and A. A. Voityuk, Chem. – Eur. J., 2021, 27, 8737–8744 CrossRef CAS PubMed.
  80. O. A. Stasyuk, A. J. Stasyuk, M. Solà and A. A. Voityuk, Nanoscale Adv., 2022, 4, 2180–2188 RSC.

Footnote

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3nr04045c

This journal is © The Royal Society of Chemistry 2023
Click here to see how this site uses Cookies. View our privacy policy here.