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Article

Incorporation of a Boron–Nitrogen Covalent Bond Improves the Charge-Transport and Charge-Transfer Characteristics of Organoboron Small-Molecule Acceptors for Organic Solar Cells

1
Key Laboratory of Cluster Science of Ministry of Education, Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
2
Beijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
*
Authors to whom correspondence should be addressed.
Molecules 2023, 28(2), 811; https://doi.org/10.3390/molecules28020811
Submission received: 16 December 2022 / Revised: 9 January 2023 / Accepted: 11 January 2023 / Published: 13 January 2023

Abstract

:
An organoboron small-molecular acceptor (OSMA) MB←N containing a boron–nitrogen coordination bond (B←N) exhibits good light absorption in organic solar cells (OSCs). In this work, based on MB←N, OSMA MB-N, with the incorporation of a boron–nitrogen covalent bond (B-N), was designed. We have systematically investigated the charge-transport properties and interfacial charge-transfer characteristics of MB-N, along with MB←N, using the density functional theory (DFT) and the time-dependent density functional theory (TD-DFT). Theoretical calculations show that MB-N can simultaneously boost the open-circuit voltage (from 0.78 V to 0.85 V) and the short-circuit current due to its high-lying lowest unoccupied molecular orbital and the reduced energy gap. Moreover, its large dipole shortens stacking and greatly enhances electron mobility by up to 5.91 × 10−3 cm2·V−1·s−1. Notably, the excellent interfacial properties of PTB7-Th/MB-N, owing to more charge transfer states generated through the direct excitation process and the intermolecular electric field mechanism, are expected to improve OSCs performance. Together with the excellent properties of MB-N, we demonstrate a new OSMA and develop a new organoboron building block with B-N units. The computations also shed light on the structure–property relationships and provide in-depth theoretical guidance for the application of organoboron photovoltaic materials.

Graphical Abstract

1. Introduction

Organoboron plays a crucial role in the field of optoelectronic materials applications [1,2,3]. Over the past few years, the emerging strategy of the incorporation of boron-nitrogen (BN) units into organic structures has been widely applied in optoelectronic devices, attracting great attention due to their interesting electronic and optical properties [4,5]. In 2011, Nakamura et al. synthesized a series of BN-fused polycyclic aromatic compounds with high mobility, especially 4b-aza-12b-boradibenzo[g,p]chrysene, which predicted that BN-substituted aromatic hydrocarbons were potential candidates for organic electronic materials [6]. In 2013, Pei and Wang et al. reported two novel tetrathienonaphthalene derivatives incorporating a BN unit, namely BN-TTN-C3 and BN-TTN-C6, signifying that a boron nitride fused ring had been applied to organic electronic devices for the first time [7]. Later, they developed and studied many BN-embedded compounds with excellent properties which could be applied to organic semiconductor materials in the field of electronics [7,8,9]. In 2015, Liu et al. reported the first BN-based acceptor applied in the field of organic solar cells (OSCs) through replacement of a C-C bond by a boron–nitrogen coordination bond (B←N) [10], which sparked great research interest in the chemistry of organoboron acceptors. In 2022, Liu et al. reported an organoboron compound (SBN-1) based on N-B←N units with a balanced resonance hybrid of boron–nitrogen covalent bond (B-N) and B←N, which can be used as an effective building block to construct small band gap conjugated polymers for OSCs [11].
Organoboron provides a new idea to design optoelectronic materials [12,13,14,15,16,17,18,19,20,21,22]. However, the development of n-type organoboron small-molecular acceptors (OSMAs) with advantages of facile synthesis, synthetic versatility, and simplified purification lags far behind that of their polymer counterparts [23,24]. Therefore, it is necessary to further increase the research on OSMAs. The BN unit is one of effective building structures for the construction of OSMAs, which contain two kinds of chemical bonds between B and N, a boron–nitrogen coordination bond, B←N, and a boron–nitrogen covalent bond, B-N. The former has been widely applied to construct non-fullerene acceptors and has achieved great success. The typical representative form is M-BNBP4P-1, which exhibits superior sunlight harvesting capability because of its unique wide absorption spectrum, with two strong bands in the long-wavelength region (771 nm) and the short-wavelength region (502 nm) [25,26]. Besides, Piers et al. devoted their efforts to synthesizing a series of novel cores with BN units for use in optoelectronic devices [27,28]. Nevertheless, the latter is rarely used in OSCs. Recently, Duan et al. developed a novel OSMA called BNTT2F, which was the first reported B-N covalent bond-based electron acceptor for OSCs, achieving the highest power conversion efficiency (PCE) among OSMAs [29]. At this stage, there are not many computational studies regarding OSMAs at the atomistic level, especially concerning their homojunction interfacial charge-transport characteristics and heterojunction interfacial charge-transfer properties [25]. Inspired by the remarkable characteristics of M-BNBP4P-1 (called MB←N in this work) and the fact that the core of the acceptor could effectively regulate its performance, we introduced the B-N bonds into the core group to design a B-N-containing OSMA MB-N and studied whether the derivative containing B-N bond would prove to be an excellent OSMA. The structures of B←N-based OSMA MB←N, the B-N-containing compound (MB-N), and their carbon-counterpart (MC-N) are shown in Figure 1; density functional theory (DFT) and time-dependent density functional theory (TD-DFT) were used to systematically investigate their electronic, optical, and interfacial properties, particularly their charge-transport properties and charge-transfer characteristics. Our results show that the B-N-embedded compound MB-N is regarded as an excellent OSMA, which is expected to improve open-circuit voltage (VOC), short-circuit current (JSC), and fill factor (FF) originated from the upshifted frontier molecular orbitals, as well as to exhibit superior charge-transport properties with enhanced electron mobility up to 5.91 × 10−3 cm2·V−1·s−1, outstanding optical absorption, and sterling interfacial charge-transfer characteristics. This theoretical work will provide useful guidance for the application of OSMAs in OSCs.

2. Results and Discussion

2.1. Monomolecular Characteristics

In OSCs, determining the energy-level alignment of an acceptor is particularly important since the key photovoltaic parameter VOC is dependent on the difference (ΔEDA) between the LUMO energy level of the acceptor and the HOMO energy level of the donor (ΔEDA = ELUMO(A)−EHOMO(D)) [30,31], which is essential to drive devices [32]. As shown in Figure 2a, MB←N and MB-N possess relatively higher-lying HOMO levels than that of MC-N, indicating less energy loss (Eloss) in the boron-containing acceptors. Moreover, the empty 2p orbital of the boron atom adopts sp2 hybridization in the tri-coordination B-N compounds and sp3 hybridization in the tetra-coordination B←N molecules [15,33]. Therefore, the p-π* conjugation with the π system of MB-N due to the empty 2p orbital of the boron atom upshifts the LUMO energy level (−3.85 eV) in comparison with MB←N (−3.92 eV) and then increases ΔEDA [33,34,35], which equates to a higher VOC in OSCs devices. According to the formula evaluated, VOC (eVOC = ΔEDAEloss) and the experiment value of MB←N (0.78 V), the Eloss is estimated as 0.52 eV. Therefore, MB-N yields a high VOC of 0.85 V, which is enhanced by about 9% compared to the reference acceptor. The energy gap is related to the planarity of the geometry, and organoboron compounds shows a smaller dihedral angle off the plane. In comparison with MC-N, the energy gaps of organoboron compounds greatly decrease because of the substantially upshifted HOMOs; thus, improved absorptions are expected [36]. In terms of MB-N, on one hand, its relatively high-lying LUMO levels can result in high VOC due to increased ΔEDA; on the other hand, high JSC may be realized because of the reduced energy gaps with upshifted HOMOs compared to those of MC-N [37]. The orbital delocalization index (ODI) can quantitatively investigate the degree of orbital delocalization. The smaller the value, the higher the degree of orbit delocalization. As displayed in Figure 2b, the ODI values of the LUMOs are smaller than those of the HOMOs, indicating that the studied molecules have good electron transport properties.
Molecular orbital correlation (MOC) analysis has been proven to be an effective method for analyzing the contribution of each molecular orbital fragment to the entire molecular orbital and further exploring the intramolecular orbital interactions [38,39,40]. To study the influence of different forms of boron and nitrogen substitution on the distribution and energy of frontier molecular orbitals, we carried out MOC analysis on these molecules. The studied molecules can be divided into central cores and electron-withdrawing units on both sides. The results (Figure 2c) show that the contributions of the LUMO of the studied molecules are mainly from the electron-withdrawing groups, and the contributions of the HOMO are mainly from the central cores, which explains why the LUMO energy levels of these molecules show little change, but the HOMO exhibits a large shift. Compared with MC-N, the introduction of B atoms into the system increases the contribution of the HOMO of the central cores to the whole molecular HOMO, and slightly reduces the contribution of the LUMO of the electron-withdrawing group to the overall LUMO. As an important photovoltaic parameter, the absorbance of materials in OSCs equals the power input, which significantly determines the performance of OSCs [41]. Thus the optical characteristics of molecules are widely impacted [42,43]. As depicted in Figure 2d, the maximum absorption wavelengths of MB←N, MB-N, and MC-N are calculated as 696 nm, 654 nm, and 527 nm, respectively. The absorption spectra of the organoboron acceptors MB←N and MB-N are red-shifted relative to that of their carbon-counterpart as a result of the reduced energy gaps mentioned previously. MC-N exhibits the strongest absorption at 527 nm, which loses the energy of the long-wavelength region, thus hindering the increase in JSC. MB←N presents two peaks in the UV-Vis region, which is consistent with previously reported experimental results [25]. Similar to MB←N, there are two unique peaks from 400 nm to 800 nm in MB-N. Different from MB←N, MB-N exhibits stronger absorption at the long wavelength of about 650 nm, while the strongest peak of MB←N is located at 450 nm. In terms of absorption spectra, MB←N and MB-N are expected to be excellent acceptors because they meet the absorption demands of long wavelengths [44,45]. Particularly, MB-N not only exhibits a wide absorption range covering the entire visible region and extending to the near-infrared region with two unique absorption peaks in the visible region, but also presents relatively high absorption intensity, which is expected to improve JSC [46].

2.2. Acceptor/Acceptor Charge Transport Properties

Electron mobility (μe) is the most important property for acceptors in OSCs, which reflects the electron transport behavior [47,48,49]. In this work, the semi-classical Marcus electron-transfer theory, combined with the Einstein relation (Table S1), was employed to assess μe based on the crystal structures predicted by the polymorph module in Materials Studio [50]. According to the Marcus theory, the one factor affecting the rate is reorganization energy (λ): a large λ value will lead to a decrease in mobility, subsequently, to poor electron transport [51,52]. As summarized in Figure 3a, introductions of the boron atoms increase λ values (0.16 eV for MB←N and 0.26 eV for MB-N). The larger λ values in organoboron compounds compared with those in MC-N (0.13 eV) indicate larger energy barriers during the electron transfer process [53]. We have to admit that the introductions of boron atoms are disadvantageous in terms of λ. The other factor is the electron transfer integral v (see Table S1), which reflects the electronic coupling between two neighboring molecules and depends on the relative orientations of adjacent molecules. As shown in Figure 3d, the MC-N molecular stacking includes face-to-face hopping pathways with long distances and edge-to-edge hopping pathways, resulting in relatively small v values. Meanwhile, all hopping pathways in MB←N are face-to-edge stacking, but with a small dipole of 0.61 Debye, giving rise to moderate v values. The large dipole of the B-N unit is expected to shorten the π-π stacking and construct good molecular packing for the transport charge [54,55,56]. Owing to the large dipole of 3.51 Debye in MB-N due to B-N substitution, the stacking exhibits a compact face-to-face π-stacking pattern, leading to large v values and thus, excellent charge transporting properties. As described in the Einstein formula, the maximum electron transfer integral (vmax) plays an important role in μe, which is attributed to its large weight in the investigated pathways. It can be seen from Figure 3b that vmax values of molecules MB←N and MB-N are one order of magnitude larger than those of MC-N, with a vmax of 3.68 × 10−4 eV. MB-N has the largest vmax of 5.36 × 10−3 eV, which is about four times that of MB←N (1.23 × 10−3 eV, Figure 3a). Interestingly, despite a larger λ, MB-N possesses as high as μe of 5.91 × 10−3 cm2·V−1·s−1 (Figure 3c), which is one order of magnitude larger than that of MC-N (1.03 × 10−4 cm2·V−1·s−1), as a result of its excellent vmax. In addition, MB←N delivers a large μe of 2.43 × 10−3 cm2·V−1·s−1, also thanks to its large vmax. In conclusion, although the large λ values of MB←N and MB-N are disadvantageous factors, the significant enhancements of vmax values help to achieve high μe values, especially for B-N-containing MB-N with the largest μe, which are conducive to charge transport and thus, are expected to improve the JSC and FF parameters of the devices. The results show that μe of organoboron compounds are mainly determined by the vmax in this work. Although the active layer is amorphous, the small range of the ordered domains of the non-fullerene acceptor is the key to the charge transport characteristics [57]. Here, the information and calculation results are of significance and of reference value.

2.3. Donor/Acceptor Interfacial Charge Transfer Performance

In OSCs, the excitons photogenerated within the donor or acceptor components dissociate at the donor/acceptor (D/A) interfaces, which significantly control the photocurrent and thus affect the PCE of the devices [58,59,60,61]. To gain a deeper insight into the interfacial optical properties of the organoboron acceptors, the interfaces between the donor PTB7-Th and the investigated organoboron molecules, namely PTB7-Th/MB←N and PTB7-Th/MB-N, were constructed, and the excited-state properties of the D/A interfaces were assessed. These excited states can be divided into three classes, namely, charge-transfer (CT) state, local-excitation (LE) state, and hybrid charge-transfer (HCT) state. Among these, the CT state between the donor and the acceptor at the D/A interface is a paramount intermediate state to realize charge separation [58,62,63], which is characterized by the fact that the two singly occupied molecular orbitals separately locate on the donor and the acceptor. There are generally three mechanisms agreed upon by scientists to form the CT state, namely, the direct excitation mechanism, the intermolecular electric field (IEF) mechanism, and the hot exciton (HE) mechanism [62,64,65]. The LE state refers to an electron excitation localized on the donor or the acceptor, with high transition probability, but which is difficult to separate. The HCT state is another important state which possesses a high exciton utilization, resulting from the CT state, and a large oscillator strength, originating from the LE component; it effectively becomes the CT state in the subsequent process, but only given the relevant mechanisms.
Given that the lower excited states are essential in photo-physical and photochemical processes [66], Figure 4 provides the crucial parameters for the three lowest excited states (S1–S3), including the transition density matrix (TDM), the charge difference density (CDD) map, the net transferred charges (Δq), D index, and the oscillator strength (f), which are widely used to evaluate the features of excited states. Among these, the TDM and CDD maps are usually used to visually study the spatial span and primary sites of electron transitions. A large TDM value in the off-diagonal term denotes that a strong electron-hole coherence presents between the donor and the acceptor, which corresponds to the CT state, while a large value in the diagonal region indicates a strong charge coherence within the donor or acceptor, which represents the LE component. Parameter Δq can quantitatively express electrons transferring from the donor to the acceptor [67]. The degree of charge separation can be represented by the D index, which is defined as the distance from the hole centroid to the electron centroid [68]. Parameter f indicates the transition probability; an excited state with a high f value means strong absorption. The direct excitation process is a paramount mechanism to generate a CT state, that is, charge carriers of D/A interface are directly excited into the CT state manifolds upon illumination [66]. According to Figure 4a, the TDM of the first excited state (S1) shows that the photoexcitation of PTB7-Th/MB←N is mainly distributed on the off-diagonal part. In addition, as shown in the CDD map (Figure 4b), the electron distributes on the MB←N, and the hole distributes on the PTB7-Th; therefore, the S1 of PTB7-Th/MB←N is the CT1 state. However, the S1 of PTB7-Th/MB-N is regarded as the HCT1 state, since the photoexcitation of interface PTB7-Th/MB-N distributes not only in the off-diagonal region, but also in the diagonal part. It can be proven by the CDD map, in which the hole only locates in PTB7-Th, and the electron and hole locate in MB-N. Note that, in the studied distributions of the second excited state (S2), two interfaces are reserved to their S1 states, according to the TDM and CDD maps; thus, the S2 states are HCT1 in the PTB7-Th/MB←N interface and CT1 in the PTB7-Th/MB-N interface. PTB7-Th/MB←N and PTB7-Th/MB-N exhibit similar transition characteristics in the third excited states (S3), and S3 are CT2 states in both of the two interfaces. For CT1 and CT2, the Δq of PTB7-Th/MB-N are larger than those of PTB7-Th/MB←N. MB-N transfers more charge to PTB7-Th compared to MB←N, reflecting stronger charge-separation ability. The calculated D indexes (Figure 4c) follow the order of PTB7-Th/MB←N (2.37 Å) < PTB7-Th/MB-N (3.14 Å) for the CT1 states and PTB7-Th/MB←N (2.58 Å) < PTB7-Th/MB-N (2.81 Å) for the CT2 states. The larger Δq and D index of PTB7-Th/MB-N lead to stronger CT characteristics, which are favorable to the charge separation. In the case of HCT1, PTB7-Th/MB-N has the strongest light-harvesting ability, with an f of 1.17, which is about 1.5 times larger than that of PTB7-Th/MB←N. Our results show that the organoboron MB-N has excellent charge-transfer characteristics of direct excitation into the CT state manifold.
In addition to the interfacial direct excitation mechanism discussed above, the intermolecular electric field (IEF) mechanism is one of the main ways, which separate exciton by producing more CT states [62,69,70]. Two key factors determine the realization of the IEF mechanism, namely energy difference and molecular electrostatic potential (ESP) [71]. The low energy state, with a small energy difference, can generate the CT state through the IEF mechanism driven by the difference in molecular ESP between the donor and the acceptor [72]. The energy difference and average ESP values of these molecules were calculated and summarized in Figure 5. The smaller energy difference of 0.05 eV between the HCT and CT state in PTB7-Th/MB-N can be easier to overcome in comparison with PTB7-Th/MB←N, thus promoting interfacial exciton dissociation. In addition, compared to the value of 3.08 kcal/mol in MB←N, the average ESP values of MB-N are enhanced to 3.28 kcal/mol. The greatly enhanced ESP of MB-N is favorable for attracting negative electrons and improving charge separation, which is expected to improve JSC and FF.
Another frequently discussed mechanism producing the CT state—the hot exciton (HE) mechanism—can generate the CT state from higher-lying states with close energy resonance, which requires the energy difference between adjacent excited states to be as small as possible [43,73,74,75]. For PTB7-Th/MB←N (Figure 5), the energy difference between the high-lying HCT1 and the lower CT1 state is 0.12 eV, which prevents the production of CT from HCT1 through the HE mechanism due to the lack of close energy resonance.

3. Computational Methods

3.1. Computational Details

The energy minima geometries of the investigated molecules were performed at the B3LYP/6-31G (d, p) level [76], which was confirmed to be suitable for the geometrical parameters [77]. It is well known that the highest occupied molecular orbital (HOMO) eigenvalues are relatively sensitive to the fraction of the Hartree–Fock exchange in the exchange-correlation functional; seven functionals (MPWLYP1M, TPSSH, B3PW91, MPW1B95, PBE38, and M06-2X) with a broad range of Hartree–Fock exchange ratios (from 5% to 54%) were used to calculate the HOMO of MB←N to obtain more accurate HOMO eigenvalues (Figure S1). Note that the computed HOMO energy level using the B3PW91 functional (−5.31 eV) was in very good agreement with the experimental value (−5.34 eV) [25]; thus, functional B3PW91 was chosen to calculate HOMOs in this work. Considering that the virtual orbitals are generally more difficult to describe theoretically than the occupied orbitals, the lowest unoccupied molecular orbital (LUMO) eigenvalues were obtained by adding the corrected HOMO energies to the TD-DFT HOMO-LUMO gap (E1), namely ELUMO = EHOMO + E1 [78]. The molecular packings of the acceptors were obtained from the crystal structure prediction at the DREIDING force field [79], which was considered to be a more appropriate force field for molecular crystal prediction [80]. Crystal structure predictions of the studied molecules were performed by using the polymorph predictor module in Materials Studio [50]. Electrostatic potential charges of all atoms were obtained by the DMol3 module, and the crystal structure prediction was then carried out by employing the Perdew–Burke–Ernzerhof (PBE) [81] exchange-correlation energy functional. Finally, we sorted the obtained crystal structures in terms of their total energies and selected crystal structures with the lowest energies for further DFT calculations regarding their electron mobilities. The M06-2X functional is a high nonlocality functional with a double amount of nonlocal exchange (2X), which provides a good description of the non-covalent interaction [82,83]. Thus, the M06-2X functional was employed to calculate the transfer integrals of all hopping pathways based on the direct coupling approach. To obtain a reliable method, the maximum absorption wavelength of MB←N was calculated by functionals B3LYP, PBE33, PBE38, M06-2X, CAM-B3LYP, and wB97XD (Figure S2). The maximum absorption wavelength (696 nm) obtained by PBE38 is in good agreement with the experimental result of 698 nm [25]. Therefore, the excited-state properties of the investigated compounds were characterized at the TD-PBE38/6-31G (d, p) level. The empirical D3 dispersion corrections were included using the Becke−Johnson damping potential in DFT and TD-DFT calculations [84,85]. The polarizable continuum model was employed in the single molecules to consider the solvation effect in chlorobenzene [86]. The above calculations were performed with the Gaussian 16 code [87]. The large overlap between the donor and the acceptor enhances the interface interactions, thus reducing the overall energy [88]. Therefore, the donor PTB7-Th was stacked face-to-face, stacking MB←N and MB-N, respectively, at a distance of 3.5 Å to form the donor/acceptor (D/A) interfaces, which has been proven to obtain essential results [62,89,90]. Then, these D/A interfaces containing a donor/acceptor pair were simulated by molecular dynamics (Figure S3). The equilibrated simulation time was set to 10 ns, with an integration time of 1 fs, using a universal force field [91], which is suitable for organic molecules [92]. The NVE ensemble was performed at 298K using the Forcite module of the Materials Studio software [50]. After reaching equilibrium, the D/A interfacial configuration containing a donor/acceptor pair remained relatively stable, and the lowest energy configurations obtained by equilibrated dynamic simulations were fully optimized at the B3LYP-D3/6-31G (d, p) level with the Gaussian 16 code. Given the slight effect of side chains on the electronic properties, the long alky chains were substituted by the methyl groups in the subsequent computations in order to balance the time and accuracy. The analysis of optical properties was performed using the Multiwfn software [93].

3.2. Orbital Delocalization Index

The orbital delocalization index (ODI) can quantitatively investigate the degree of orbital delocalization, which is expressed as [93]:
O D I i = 0.01 × A ( Θ A , i ) 2 ,
where Θ A , i   represents the composition of the A atom in the i orbital.

3.3. Electron Mobility

The Marcus theory, with the hopping model, was employed to describe the electron transport behavior [94,95]. The charge hopping rate (k) between two identical molecules is [96,97]:
k = 2 π h υ 2 1 4 π k B T exp ( λ 4 k B T )   ,
where k B , T, and h are the Boltzmann constant, the temperature in Kelvin, and the Planck constant, respectively (T = 300 K in our work). λ denotes the reorganization energy, which is calculated using the adiabatic potential energy surface method. In this work, only internal reorganization energy, which mainly originates from the geometrical relaxation during the charge transfer process and reflects the barriers from one molecule to another, was considered. The reorganization energy can be expressed as follows [98]:
λ = ( E 0 * E 0 ) + ( E * E )   ,
where E* and E0 are the energies of neutral species in the anionic and neutral geometries, respectively. E0* and E represent the energies of the anionic species with the geometries of neutral and anionic molecules, respectively.
The transfer integral (v) is obtained by adopting a direct approach at the M06-2X/6-31G (d, p) level [30], which has been proven to be suitable in describing the non-covalent interaction. In our work, v can be calculated by [99]:
υ = Ψ i LUMO | S C ε C 1 | Ψ j LUMO   ,
where ΨiLUMO and ΨjLUMO represent the LUMOs of the isolated molecules i and j. The Kohn–Sham orbital C and eigenvalue ε are evaluated by diagonalizing the zeroth-order Fock matrix. S denotes the overlap matrix for the dimer. The electron mobility of the investigated molecules was calculated using the Einstein relation [99,100]:
μ = 1 2 d e k B T r i 2 k i P i   ,
where d represents the spatial dimensionality and is 3 in our work, i is a selected hopping pathway, and ri and ki are the charge hopping centroid-to-centroid distance and charge hopping rate, respectively. Pi is defined as the hopping probability, which can be obtained using:
P i = k i k i   ,

3.4. Net Transferred Charge

The net transferred electrons from donor (D) to acceptor (A) can be obtained by using the following formula [67,93]:
Δ q = Q D , A Q A , D   ,
where QD,A (QA,D) corresponds to the electron transfer from D (A) to A (D) during the excitation, which can be calculated from:
Q D , A = i OCC a vir [ ( w i a ) 2 ( w i a ) 2 ] R D Θ R , i S A Θ S , a   ,
where wia and wi′a are the configuration coefficient of the excitation molecular orbital i to a and the de-excitation molecular orbital a to i, respectively; ΘR,i (ΘS,a) is the contribution of atom R (S) to the molecular orbital i (a).

3.5. D Index

The distance from the hole centroid to the electron centroid can be expressed from the following equation [68]:
D = D X 2 + D Y 2 + D Z 2   ,
The charge transfer (CT) length in X/Y/Z can be measured by the centroid distances between the hole and the electron in corresponding directions:
D X / Y / Z = | N ele N hole |   ,
The electron centroid (Nele) and hole centroid (Nhole) can be calculated from the following equation:
N ele / hole = n ρ ele / hole ( r ) d r   ,
where n is the X (Y or Z) component of position vector r. ρ ele / hole presents the spatial charge distribution.

4. Conclusions

Our studies on two organoboron small-molecular compounds and their carbon counterpart provide an in-depth understanding of the relationship between structures and their electronic, optical, and charge-transport characteristics, as well as their interfacial charge-transfer properties. In comparison with the carbon-counterpart MC-N, the introduction of boron strongly lowers the optical gaps and concurrently, dramatically enhances electron mobility due to the unique characteristics originating from the presence of a vacant p orbital on the B atom. The results show that boron atoms are necessary, and that the MB-N containing a boron–nitrogen covalent bond outperforms the MB←N comprising the boron–nitrogen coordination bond due to increased VOC (enhanced by about 9% compared to the MB←N) as the result of its high-lying LUMO, and its enhanced JSC and FF because of excellent absorption and significantly increased electron mobility of up to 5.91×10−3 cm2·V−1·s−1. Further, more CT states originating from the direct excitation mechanism and the IEF process help to improve the interfacial charge-transfer properties of PTB7-Th/MB-N; thus, MB-N-based OSCs are expected to achieve a high VOC, JSC, and FF. Our results not only predict an excellent organoboron small-molecular acceptor MB-N by explaining the internal mechanisms, but also provide a theoretical description of the structure–property relationships.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/molecules28020811/s1, Figure S1: The EHOMO of MB←N at the different functionals; Figure S2: Maximum absorption wavelength of MB←N employed different functionals; Figure S3: The potential energy evolutions as a function of simulation time; Figure S4: The dihedral angles of studied molecules; Table S1: Electron transfer intervals of the studied molecules; Table S2: Net transferred charge and D index of the studied interfaces; Table S3: Charge difference density maps of the studied interfaces.

Author Contributions

Conceptualization, J.Y., Q.-S.L. and Z.-S.L.; methodology, J.Y., Q.-S.L. and Z.-S.L.; software, J.Y. and W.-L.D.; validation, J.Y., W.-L.D., Q.-S.L. and Z.-S.L.; formal analysis, J.Y. and W.-L.D.; investigation, J.Y. and Q.-S.L.; resources, Q.-S.L. and Z.-S.L.; data curation, J.Y., Q.-S.L. and Z.-S.L.; writing—original draft preparation, J.Y.; writing—review and editing, W.-L.D., Q.-S.L. and Z.-S.L.; visualization, J.Y. and Q.-S.L.; supervision, Q.-S.L. and Z.-S.L.; project administration, Q.-S.L. and Z.-S.L.; funding acquisition, Q.-S.L. and Z.-S.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Natural Science Foundation of China (grant numbers 22173008) and the Beijing Key Laboratory for Chemical Power Source and Green Catalysis (grant number 2013CX02031).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article or Supplementary Material.

Acknowledgments

We thank Li-Jie Li for the code to predict crystal structures.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds are not available from the authors.

References

  1. Kim, H.J.; Godumala, M.; Kim, S.K.; Yoon, J.; Kim, C.Y.; Park, H.; Kwon, J.H.; Cho, M.J.; Choi, D.H. Color-Tunable Boron-Based Emitters Exhibiting Aggregation-Induced Emission and Thermally Activated Delayed Fluorescence for Efficient Solution-Processable Nondoped Deep-Blue to Sky-Blue OLEDs. Adv. Opt. Mater. 2020, 8, 1902175. [Google Scholar] [CrossRef]
  2. Lu, L.; He, J.; Wu, P.; Wu, Y.; Chao, Y.; Li, H.; Tao, D.; Fan, L.; Li, H.; Zhu, W. Taming electronic properties of boron nitride nanosheets as metal-free catalysts for aerobic oxidative desulfurization of fuels. Green Chem. 2018, 20, 4453–4460. [Google Scholar] [CrossRef]
  3. Lu, H.; Chen, K.; Bobba, R.S.; Shi, J.; Li, M.; Wang, Y.; Xue, J.; Xue, P.; Zheng, X.; Thorn, K.E.; et al. Simultaneously Enhancing Exciton/Charge Transport in Organic Solar Cells by an Organoboron Additive. Adv. Mater. 2022, 34, 2205926. [Google Scholar] [CrossRef] [PubMed]
  4. Kothavale, S.S.; Lee, J.Y. Three- and Four-Coordinate, Boron-Based, Thermally Activated Delayed Fluorescent Emitters. Adv. Opt. Mater. 2020, 8, 2000922. [Google Scholar] [CrossRef]
  5. Ma, X.D.; Tian, Z.W.; Jia, R.; Bai, F.Q. B–N counterpart of biphenylene network: A theoretical investigation. Appl. Surf. Sci. 2022, 598, 153674. [Google Scholar] [CrossRef]
  6. Hatakeyama, T.; Hashimoto, S.; Seki, S.; Nakamura, M. Synthesis of BN-fused polycyclic aromatics via tandem intramolecular electrophilic arene borylation. J. Am. Chem. Soc. 2011, 133, 18614–18617. [Google Scholar] [CrossRef] [PubMed]
  7. Wang, X.Y.; Lin, H.R.; Lei, T.; Yang, D.C.; Zhuang, F.D.; Wang, J.Y.; Yuan, S.C.; Pei, J. Azaborine compounds for organic field-effect transistors: Efficient synthesis, remarkable stability, and BN dipole interactions. Angew. Chem. Int. Ed. 2013, 52, 3117–3120. [Google Scholar] [CrossRef]
  8. Wang, J.Y.; Pei, J. BN-embedded aromatics for optoelectronic applications. Chin. Chem. Lett. 2016, 27, 1139–1146. [Google Scholar] [CrossRef]
  9. Wang, X.Y.; Zhuang, F.D.; Zhou, X.; Yang, D.C.; Wang, J.Y.; Pei, J. Influence of alkyl chain length on the solid-state properties and transistor performance of BN-substituted tetrathienonaphthalenes. J. Mater. Chem. C 2014, 2, 8152–8161. [Google Scholar] [CrossRef]
  10. Dou, C.; Ding, Z.; Zhang, Z.; Xie, Z.; Liu, J.; Wang, L. Developing conjugated polymers with high electron affinity by replacing a C-C unit with a B←N unit. Angew. Chem. Int. Ed. 2015, 54, 3648–3652. [Google Scholar] [CrossRef]
  11. Shao, X.; Liu, M.; Liu, J.; Wang, L. A Resonating B, N Covalent Bond and Coordination Bond in Aromatic Compounds and Conjugated Polymers. Angew. Chem. Int. Ed. 2022, 61, e202205893. [Google Scholar] [CrossRef]
  12. Grandl, M.; Schepper, J.; Maity, S.; Peukert, A.; von Hauff, E.; Pammer, F. N→B Ladder Polymers Prepared by Postfunctionalization: Tuning of Electron Affinity and Evaluation as Acceptors in All-Polymer Solar Cells. Macromolecules 2019, 52, 1013–1024. [Google Scholar] [CrossRef]
  13. Zhao, R.; Liu, J.; Wang, L. Polymer Acceptors Containing B←N Units for Organic Photovoltaics. Acc. Chem. Res. 2020, 53, 1557–1567. [Google Scholar] [CrossRef]
  14. de la Torre, G.; Bottari, G.; Torres, T. Phthalocyanines and Subphthalocyanines: Perfect Partners for Fullerenes and Carbon Nanotubes in Molecular Photovoltaics. Adv. Energy Mater. 2017, 7, 1601700. [Google Scholar] [CrossRef]
  15. Miao, J.; Wang, Y.; Liu, J.; Wang, L. Organoboron molecules and polymers for organic solar cell applications. Chem. Soc. Rev. 2022, 51, 153–187. [Google Scholar] [CrossRef]
  16. Ikeda, N.; Oda, S.; Matsumoto, R.; Yoshioka, M.; Fukushima, D.; Yoshiura, K.; Yasuda, N.; Hatakeyama, T. Solution-Processable Pure Green Thermally Activated Delayed Fluorescence Emitter Based on the Multiple Resonance Effect. Adv. Mater. 2020, 32, 2004072. [Google Scholar] [CrossRef] [PubMed]
  17. Park, I.S.; Min, H.; Yasuda, T. Ultrafast Triplet-Singlet Exciton Interconversion in Narrowband Blue Organoboron Emitters Doped with Heavy Chalcogens. Angew. Chem. Int. Ed. 2022, 61, e202205684. [Google Scholar] [CrossRef] [PubMed]
  18. Wang, X.; Zhang, Y.; Dai, H.; Li, G.; Liu, M.; Meng, G.; Zeng, X.; Huang, T.; Wang, L.; Peng, Q.; et al. Mesityl-Functionalized Multi-Resonance Organoboron Delayed Fluorescent Frameworks with Wide-Range Color Tunability for Narrowband OLEDs. Angew. Chem. Int. Ed. 2022, 61, e202206916. [Google Scholar]
  19. Yan, Z.P.; Yuan, L.; Zhang, Y.; Mao, M.X.; Liao, X.J.; Ni, H.X.; Wang, Z.H.; An, Z.; Zheng, Y.X.; Zuo, J.L. A Chiral Dual-Core Organoboron Structure Realizes Dual-Channel Enhanced Ultrapure Blue Emission and Highly Efficient Circularly Polarized Electroluminescence. Adv. Mater. 2022, 34, 2204253. [Google Scholar] [CrossRef]
  20. Cheon, H.J.; Woo, S.J.; Baek, S.H.; Lee, J.H.; Kim, Y.H. Dense Local Triplet States and Steric Shielding of Multi-Resonance TADF Emitter Enables High-Performance Deep Blue OLEDs. Adv. Mater. 2022, 34, 2207416. [Google Scholar] [CrossRef]
  21. Gurubasavaraj, P.M.; Sajjan, V.P.; Munoz-Flores, B.M.; Jimenez Perez, V.M.; Hosmane, N.S. Recent Advances in BODIPY Compounds: Synthetic Methods, Optical and Nonlinear Optical Properties, and Their Medical Applications. Molecules 2022, 27, 1877. [Google Scholar] [CrossRef]
  22. Nowicki, K.; Pacholak, P.; Lulinski, S. Heteroelement Analogues of Benzoxaborole and Related Ring Expanded Systems. Molecules 2021, 26, 5464. [Google Scholar] [CrossRef]
  23. Dou, C.; Long, X.; Ding, Z.; Xie, Z.; Liu, J.; Wang, L. An Electron-Deficient Building Block Based on the B←N Unit: An Electron Acceptor for All-Polymer Solar Cells. Angew. Chem. Int. Ed. 2016, 55, 1436–1440. [Google Scholar] [CrossRef] [PubMed]
  24. Zhao, R.; Wang, N.; Yu, Y.; Liu, J. Organoboron Polymer for 10% Efficiency All-Polymer Solar Cells. Chem. Mater. 2020, 32, 1308–1314. [Google Scholar] [CrossRef]
  25. Liu, F.; Ding, Z.; Liu, J.; Wang, L. An organoboron compound with a wide absorption spectrum for solar cell applications. Chem. Commun. 2017, 53, 12213–12216. [Google Scholar] [CrossRef]
  26. Liu, F.; Liu, J.; Wang, L. Effect of fluorine substitution in organoboron electron acceptors for photovoltaic application. Org. Chem. Front. 2019, 6, 1996–2003. [Google Scholar] [CrossRef]
  27. Morgan, M.M.; Patrick, E.A.; Rautiainen, J.M.; Tuononen, H.M.; Piers, W.E.; Spasyuk, D.M. Zirconocene-Based Methods for the Preparation of BN-Indenes: Application to the Synthesis of 1,5-Dibora-4a,8a-diaza-1,2,3,5,6,7-hexaaryl-4,8-dimethyl-s-indacenes. Organometallics 2017, 36, 2541–2551. [Google Scholar] [CrossRef] [Green Version]
  28. Morgan, M.M.; Nazari, M.; Pickl, T.; Rautiainen, J.M.; Tuononen, H.M.; Piers, W.E.; Welch, G.C.; Gelfand, B.S. Boron-nitrogen substituted dihydroindeno[1,2-b]fluorene derivatives as acceptors in organic solar cells. Chem. Commun. 2019, 55, 11095–11098. [Google Scholar] [CrossRef]
  29. Liu, X.; Pang, S.; Zeng, L.; Deng, W.; Yang, M.; Yuan, X.; Li, J.; Duan, C.; Huang, F.; Cao, Y. An electron acceptor featuring a B-N covalent bond and small singlet-triplet gap for organic solar cells. Chem. Commun. 2022, 58, 8686–8689. [Google Scholar] [CrossRef]
  30. Blom, P.W.M.; Mihailetchi, V.D.; Koster, L.J.A.; Markov, D.E. Device Physics of Polymer:Fullerene Bulk Heterojunction Solar Cells. Adv. Mater. 2007, 19, 1551–1566. [Google Scholar] [CrossRef] [Green Version]
  31. Liu, Z.; Wang, N. Enhanced Performance and Stability of Ternary Organic Solar Cells Utilizing Two Similar Structure Blend Fullerene-Free Molecules as Electron Acceptor. Adv. Opt. Mater. 2019, 7, 1901241. [Google Scholar] [CrossRef]
  32. Wang, Y.; Fan, Q.; Guo, X.; Li, W.; Guo, B.; Su, W.; Ou, X.; Zhang, M. High-performance nonfullerene polymer solar cells based on a fluorinated wide bandgap copolymer with a high open-circuit voltage of 1.04 V. J. Mater. Chem. A 2017, 5, 22180–22185. [Google Scholar] [CrossRef]
  33. Yin, X.; Liu, J.; Jakle, F. Electron-Deficient Conjugated Materials via p-π* Conjugation with Boron: Extending Monomers to Oligomers, Macrocycles, and Polymers. Chem. Eur. J. 2021, 27, 2973–2986. [Google Scholar] [CrossRef]
  34. Liu, Z.; Wang, N. Small Energy Loss and Broad Energy Levels Offsets Lead to Efficient Ternary Polymer Solar Cells from a Blend of Two Fullerene-Free Small Molecules as Electron Acceptors. Adv. Opt. Mater. 2019, 7, 1900913. [Google Scholar] [CrossRef]
  35. Li, S.Y.; Sun, Z.B.; Zhao, C.H. Charge-Transfer Emitting Triarylborane pi-Electron Systems. Inorg. Chem. 2017, 56, 8705–8717. [Google Scholar] [CrossRef]
  36. Li, C.; Song, J.; Cai, Y.; Han, G.; Zheng, W.; Yi, Y.; Ryu, H.S.; Woo, H.Y.; Sun, Y. Heteroatom substitution-induced asymmetric A–D–A type non-fullerene acceptor for efficient organic solar cells. J. Energy Chem. 2020, 40, 144–150. [Google Scholar] [CrossRef] [Green Version]
  37. Jeon, S.J.; Kim, Y.H.; Kim, I.N.; Yang, N.G.; Yun, J.H.; Moon, D.K. Utilizing 3,4-ethylenedioxythiophene (EDOT)-bridged non-fullerene acceptors for efficient organic solar cells. J. Energy Chem. 2022, 65, 194–204. [Google Scholar] [CrossRef]
  38. Wu, J.; Liao, Y.; Wu, S.X.; Li, H.B.; Su, Z.M. Phenylcarbazole and phosphine oxide/sulfide hybrids as host materials for blue phosphors: Effectively tuning the charge injection property without influencing the triplet energy. Phys. Chem. Chem. Phys. 2012, 14, 1685–1693. [Google Scholar] [CrossRef]
  39. Wang, X.; Liu, Z.; Yan, X.; Lu, T.; Zheng, W.; Xiong, W. Bonding Character, Electron Delocalization, and Aromaticity of Cyclo[18]Carbon (C18) Precursors, C18-(CO)n (n = 6, 4, and 2): Focusing on the Effect of Carbonyl (-CO) Groups. Chem. Eur. J. 2022, 28, e202103815. [Google Scholar]
  40. Wu, J.; Wu, S.; Geng, Y.; Yang, G.; Muhammad, S.; Jin, J.; Liao, Y.; Su, Z. Theoretical study on dithieno[3,2-b:2’,3’-d]phosphole derivatives: High-efficiency blue-emitting materials with ambipolar semiconductor behavior. Theor. Chem. Acc. 2010, 127, 419–427. [Google Scholar] [CrossRef]
  41. Lin, H.; Wang, Q. Non-fullerene small molecule electron acceptors for high-performance organic solar cells. J. Energy Chem. 2018, 27, 990–1016. [Google Scholar] [CrossRef] [Green Version]
  42. Aldrich, T.J.; Matta, M.; Zhu, W.; Swick, S.M.; Stern, C.L.; Schatz, G.C.; Facchetti, A.; Melkonyan, F.S.; Marks, T.J. Fluorination Effects on Indacenodithienothiophene Acceptor Packing and Electronic Structure, End-Group Redistribution, and Solar Cell Photovoltaic Response. J. Am. Chem. Soc. 2019, 141, 3274–3287. [Google Scholar] [CrossRef] [PubMed]
  43. Liang, Y.J.; Zhao, Z.W.; Geng, Y.; Pan, Q.Q.; Gu, H.Y.; Zhao, L.; Zhang, M.; Wu, S.X.; Su, Z.M. Can we utilize the higher Frenkel exciton state in biazulene diimides-based non-fullerene acceptors to promote charge separation at the donor/acceptor interface? New J. Chem. 2020, 44, 9767–9774. [Google Scholar] [CrossRef]
  44. Xia, K.; Li, Y.; Wang, Y.; Portilla, L.; Pecunia, V. Narrowband-Absorption-Type Organic Photodetectors for the Far-Red Range Based on Fullerene-Free Bulk Heterojunctions. Adv. Opt. Mater. 2020, 8, 1902056. [Google Scholar] [CrossRef]
  45. Jia, Z.; Qin, S.; Meng, L.; Ma, Q.; Angunawela, I.; Zhang, J.; Li, X.; He, Y.; Lai, W.; Li, N.; et al. High performance tandem organic solar cells via a strongly infrared-absorbing narrow bandgap acceptor. Nat. Commun. 2021, 12, 178. [Google Scholar] [CrossRef]
  46. Li, Z.; Zhu, C.; Yuan, J.; Zhou, L.; Liu, W.; Xia, X.; Hong, J.; Chen, H.; Wei, Q.; Lu, X.; et al. Optimizing side chains on different nitrogen aromatic rings achieving 17% efficiency for organic photovoltaics. J. Energy Chem. 2022, 65, 173–178. [Google Scholar] [CrossRef]
  47. Guo, Y.; Han, G.; Duan, R.; Geng, H.; Yi, Y. Boosting the electron mobilities of dimeric perylenediimides by simultaneously enhancing intermolecular and intramolecular electronic interactions. J. Mater. Chem. A 2018, 6, 14224–14230. [Google Scholar] [CrossRef]
  48. Koh, S.E.; Risko, C.; da Silva Filho, D.A.; Kwon, O.; Facchetti, A.; Brédas, J.L.; Marks, T.J.; Ratner, M.A. Modeling Electron and Hole Transport in Fluoroarene-Oligothiopene Semiconductors: Investigation of Geometric and Electronic Structure Properties. Adv. Funct. Mater. 2008, 18, 332–340. [Google Scholar] [CrossRef]
  49. Kupgan, G.; Chen, X.K.; Brédas, J.L. Molecular packing of non-fullerene acceptors for organic solar cells: Distinctive local morphology in Y6 vs. ITIC derivatives. Mater. Today Adv. 2021, 11, 100154. [Google Scholar] [CrossRef]
  50. Dassault Systemes. One Molecular Simulation Software. Available online: https://www.accelrys.com (accessed on 28 October 2017).
  51. Shuai, Z.; Wang, L.; Li, Q. Evaluation of charge mobility in organic materials: From localized to delocalized descriptions at a first-principles level. Adv. Mater. 2011, 23, 1145–1153. [Google Scholar] [CrossRef]
  52. Li, G.; Feng, L.W.; Mukherjee, S.; Jones, L.; Jacobberger, R.; Huang, W.; Young, R.M.; Pankow, R.M.; Zhu, W.; Lu, N.; et al. Non-Fullerene Acceptors with Direct and Indirect Hexa-fluorination Afford >17% Efficiency in Polymer Solar Cells. Energy Environ. Sci. 2022, 15, 645–659. [Google Scholar] [CrossRef]
  53. Wang, L.; Nan, G.; Yang, X.; Peng, Q.; Li, Q.; Shuai, Z. Computational methods for design of organic materials with high charge mobility. Chem. Soc. Rev. 2010, 39, 423–434. [Google Scholar] [CrossRef] [PubMed]
  54. Zhang, P.F.; Zeng, J.C.; Zhuang, F.D.; Zhao, K.X.; Sun, Z.H.; Yao, Z.F.; Lu, Y.; Wang, X.Y.; Wang, J.Y.; Pei, J. Parent B2N2-Perylenes with Different BN Orientations. Angew. Chem. Int. Ed. 2021, 60, 23313–23319. [Google Scholar] [CrossRef] [PubMed]
  55. Zhao, K.; Yao, Z.F.; Wang, Z.Y.; Zeng, J.C.; Ding, L.; Xiong, M.; Wang, J.Y.; Pei, J. “Spine Surgery” of Perylene Diimides with Covalent B-N Bonds toward Electron-Deficient BN-Embedded Polycyclic Aromatic Hydrocarbons. J. Am. Chem. Soc. 2022, 144, 3091–3098. [Google Scholar] [CrossRef] [PubMed]
  56. Li, W.; Du, C.Z.; Chen, X.Y.; Fu, L.; Gao, R.R.; Yao, Z.F.; Wang, J.Y.; Hu, W.; Pei, J.; Wang, X.Y. BN-Anthracene for High-Mobility Organic Optoelectronic Materials through Periphery Engineering. Angew. Chem. Int. Ed. 2022, 61, e202201464. [Google Scholar]
  57. Oh, C.M.; Jang, S.; Lee, J.; Park, S.H.; Hwang, I.W. Versatile control of concentration gradients in non-fullerene acceptor-based bulk heterojunction films using solvent rinse treatments. Green Energy Environ. 2022, 7, 1102–1110. [Google Scholar] [CrossRef]
  58. Cao, Z.; Yang, S.; Wang, B.; Shen, X.; Han, G.; Yi, Y. Multi-channel exciton dissociation in D18/Y6 complexes for high-efficiency organic photovoltaics. J. Mater. Chem. A 2020, 8, 20408–20413. [Google Scholar] [CrossRef]
  59. Wang, J.; Jiang, X.; Wu, H.; Feng, G.; Wu, H.; Li, J.; Yi, Y.; Feng, X.; Ma, Z.; Li, W.; et al. Increasing donor-acceptor spacing for reduced voltage loss in organic solar cells. Nat. Commun. 2021, 12, 6679. [Google Scholar] [CrossRef]
  60. Rahmanudin, A.; Yao, L.; Jeanbourquin, X.A.; Liu, Y.; Sekar, A.; Ripaud, E.; Sivula, K. Melt-processing of small molecule organic photovoltaics via bulk heterojunction compatibilization. Green Chem. 2018, 20, 2218–2224. [Google Scholar] [CrossRef] [Green Version]
  61. Holmes, N.P.; Munday, H.; Barr, M.G.; Thomsen, L.; Marcus, M.A.; Kilcoyne, A.L.D.; Fahy, A.; van Stam, J.; Dastoor, P.C.; Moons, E. Unravelling donor–acceptor film morphology formation for environmentally-friendly OPV ink formulations. Green Chem. 2019, 21, 5090–5103. [Google Scholar] [CrossRef] [Green Version]
  62. Zhao, Z.W.; Pan, Q.Q.; Geng, Y.; Wu, Y.; Zhao, L.; Zhang, M.; Su, Z.M. Theoretical Insight into Multiple Charge-Transfer Mechanisms at the P3HT/Nonfullerenes Interface in Organic Solar Cells. ACS Sustain. Chem. Eng. 2019, 7, 19699–19707. [Google Scholar] [CrossRef]
  63. Zarrabi, N.; Sandberg, O.J.; Zeiske, S.; Li, W.; Riley, D.B.; Meredith, P.; Armin, A. Charge-generating mid-gap trap states define the thermodynamic limit of organic photovoltaic devices. Nat. Commun. 2020, 11, 5567. [Google Scholar] [CrossRef]
  64. Gao, F.; Inganas, O. Charge generation in polymer-fullerene bulk-heterojunction solar cells. Phys. Chem. Chem. Phys. 2014, 16, 20291–20304. [Google Scholar] [CrossRef] [PubMed]
  65. Yang, J.; Li, Q.S.; Li, Z.S. End-capped group manipulation of indacenodithienothiophene-based non-fullerene small molecule acceptors for efficient organic solar cells. Nanoscale 2020, 12, 17795–17804. [Google Scholar] [CrossRef] [PubMed]
  66. Vandewal, K.; Albrecht, S.; Hoke, E.T.; Graham, K.R.; Widmer, J.; Douglas, J.D.; Schubert, M.; Mateker, W.R.; Bloking, J.T.; Burkhard, G.F.; et al. Efficient charge generation by relaxed charge-transfer states at organic interfaces. Nat. Mater. 2013, 13, 63–68. [Google Scholar] [CrossRef]
  67. Shi, X.; Yang, Y.; Wang, L.; Li, Y. Introducing Asymmetry Induced by Benzene Substitution in a Rigid Fused π Spacer of D−π–A-Type Solar Cells: A Computational Investigation. J. Phys. Chem. C 2019, 123, 4007–4021. [Google Scholar] [CrossRef]
  68. Yao, C.; Yang, Y.; Li, L.; Bo, M.; Zhang, J.; Peng, C.; Huang, Z.; Wang, J. Elucidating the Key Role of the Cyano (−C≡N) Group to Construct Environmentally Friendly Fused-Ring Electron Acceptors. J. Phys. Chem. C 2020, 124, 23059–23068. [Google Scholar] [CrossRef]
  69. Sobolewski, A.L. Organic photovoltaics without p-n junctions: A computational study of ferroelectric columnar molecular clusters. Phys. Chem. Chem. Phys. 2015, 17, 20580–20587. [Google Scholar] [CrossRef] [Green Version]
  70. Schwarz, C.; Bassler, H.; Bauer, I.; Koenen, J.M.; Preis, E.; Scherf, U.; Kohler, A. Does conjugation help exciton dissociation? a study on poly(p-phenylene)s in planar heterojunctions with C60 or TNF. Adv. Mater. 2012, 24, 922–925. [Google Scholar] [CrossRef]
  71. Yao, H.; Cui, Y.; Qian, D.; Ponseca, C.S., Jr.; Honarfar, A.; Xu, Y.; Xin, J.; Chen, Z.; Hong, L.; Gao, B.; et al. 14.7% Efficiency Organic Photovoltaic Cells Enabled by Active Materials with a Large Electrostatic Potential Difference. J. Am. Chem. Soc. 2019, 141, 7743–7750. [Google Scholar] [CrossRef]
  72. Yao, H.; Qian, D.; Zhang, H.; Qin, Y.; Xu, B.; Cui, Y.; Yu, R.; Gao, F.; Hou, J. Critical Role of Molecular Electrostatic Potential on Charge Generation in Organic Solar Cells. Chin. J. Chem. 2018, 36, 491–494. [Google Scholar] [CrossRef]
  73. Zhu, X.Y.; Yang, Q.; Muntwiler, M. Charge-transfer excitons at organic semiconductor surfaces and interfaces. Acc. Chem. Res. 2009, 42, 1779–1787. [Google Scholar] [CrossRef]
  74. Grancini, G.; Maiuri, M.; Fazzi, D.; Petrozza, A.; Egelhaaf, H.J.; Brida, D.; Cerullo, G.; Lanzani, G. Hot exciton dissociation in polymer solar cells. Nat. Mater. 2013, 12, 29–33. [Google Scholar] [CrossRef] [PubMed]
  75. Iizuka, H.; Nakayama, T. Quantum process of exciton dissociation at organic semiconductor interfaces: Effects of interface roughness and hot exciton. Jpn. J. Appl. Phys. 2016, 55, 021601. [Google Scholar] [CrossRef]
  76. Becke, A.D. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys. Rev. A 1988, 38, 3098–3100. [Google Scholar] [CrossRef]
  77. Grimme, S. Semiempirical GGA-type density functional constructed with a long-range dispersion correction. J. Comput. Chem. 2006, 27, 1787–1799. [Google Scholar] [CrossRef] [PubMed]
  78. Zhang, G.; Musgrave, C.B. Comparison of DFT methods for molecular orbital eigenvalue calculations. J. Phys. Chem. A 2007, 111, 1554–1561. [Google Scholar] [CrossRef]
  79. Mayo, S.L.; Olafson, B.D.; Goddard, W.A. DREIDING: A generic force field for molecular simulations. J. Chem. Phys. 1990, 94, 8897–8909. [Google Scholar] [CrossRef]
  80. Sokolov, A.N.; Atahan-Evrenk, S.; Mondal, R.; Akkerman, H.B.; Sánchez-Carrera, R.S.; Granados-Focil, S.; Schrier, J.; Mannsfeld, S.C.B.; Zoombelt, A.P.; Bao, Z.; et al. From computational discovery to experimental characterization of a high hole mobility organic crystal. Nat. Commun. 2011, 2, 437. [Google Scholar] [CrossRef] [Green Version]
  81. Ernzerhof, M.; Scuseria, G.E. Assessment of the Perdew–Burke–Ernzerhof exchange-correlation functional. J. Chem. Phys. 1999, 110, 5029–5036. [Google Scholar] [CrossRef] [Green Version]
  82. Zhao, Y.; Truhlar, D.G. The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: Two new functionals and systematic testing of four M06-class functionals and 12 other functionals. Theor. Chem. Acc. 2008, 120, 215–241. [Google Scholar]
  83. Geng, Y.; Wu, S.X.; Li, H.B.; Tang, X.D.; Wu, Y.; Su, Z.M.; Liao, Y. A theoretical discussion on the relationships among molecular packings, intermolecular interactions, and electron transport properties for naphthalene tetracarboxylic diimide derivatives. J. Mater. Chem. 2011, 21, 15558–15566. [Google Scholar] [CrossRef]
  84. Grimme, S.; Antony, J.; Ehrlich, S.; Krieg, H. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. J. Chem. Phys. 2010, 132, 154104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Becke, A.D.; Johnson, E.R. A density-functional model of the dispersion interaction. J. Chem. Phys. 2005, 123, 154101. [Google Scholar] [CrossRef]
  86. Mennucci, B. Polarizable continuum model. WIREs Comput. Mol. Sci. 2012, 2, 386–404. [Google Scholar] [CrossRef]
  87. Frisch, M.J.; Trucks, G.W.; Schlegel, H.B.; Scuseria, G.E.; Robb, M.A.; Cheeseman, J.R.; Scalmani, G.; Barone, V.; Petersson, G.A.; Nakatsuji, H.; et al. Gaussian 16, Revision A.03; Gaussian, Inc.: Wallingford, CT, USA, 2016; Volume 3. [Google Scholar]
  88. Mahmood, A.; Irfan, A.; Wang, J.L. Molecular level understanding of the chalcogen atom effect on chalcogen-based polymers through electrostatic potential, non-covalent interactions, excited state behaviour, and radial distribution function. Polym. Chem. 2022, 13, 5993–6001. [Google Scholar] [CrossRef]
  89. Pan, Q.Q.; Li, S.B.; Duan, Y.C.; Wu, Y.; Zhang, J.; Geng, Y.; Zhao, L.; Su, Z.M. Exploring what prompts ITIC to become a superior acceptor in organic solar cell by combining molecular dynamics simulation with quantum chemistry calculation. Phys. Chem. Chem. Phys. 2017, 19, 31227–31235. [Google Scholar] [CrossRef] [PubMed]
  90. Cui, Y.; Li, P.; Song, C.; Zhang, H. Terminal Modulation of D−π–A Small Molecule for Organic Photovoltaic Materials: A Theoretical Molecular Design. J. Phys. Chem. C 2016, 120, 28939–28950. [Google Scholar] [CrossRef]
  91. Rappe, A.K.; Casewit, C.J.; Colwell, K.S.; Goddard, W.A.; Skiff, W.M. UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations. J. Am. Chem. Soc. 2002, 114, 10024–10035. [Google Scholar] [CrossRef]
  92. Casewit, C.J.; Colwell, K.S.; Rappe, A.K. Application of a universal force field to organic molecules. J. Am. Chem. Soc. 2002, 114, 10035–10046. [Google Scholar] [CrossRef]
  93. Lu, T.; Chen, F.J. Multiwfn: A multifunctional wavefunction analyzer. J. Comput. Chem. 2012, 33, 580–592. [Google Scholar] [CrossRef] [PubMed]
  94. Tender, L.; Carter, M.T.; Murray, R.W. Cyclic Voltammetric Analysis of Ferrocene Alkanethiol Monolayer Electrode Kinetics Based on Marcus Theory. Anal. Chem. 1994, 66, 3173–3181. [Google Scholar] [CrossRef]
  95. Mayer, J.M. Understanding Hydrogen Atom Transfer: From Bond Strengths to Marcus Theory. Acc. Chem. Res. 2011, 44, 36–46. [Google Scholar] [CrossRef] [Green Version]
  96. Cornil, J.; Brédas, J.L.; Zaumseil, J.; Sirringhaus, H. Ambipolar Transport in Organic Conjugated Materials. Adv. Mater. 2007, 19, 1791–1799. [Google Scholar] [CrossRef]
  97. Marcus, R.A. Electron transfer reactions in chemistry. Theory and experiment. Rev. Mod. Phys. 1993, 65, 599–610. [Google Scholar] [CrossRef] [Green Version]
  98. Chen, H.Y.; Chao, I. Effect of perfluorination on the charge-transport properties of organic semiconductors: Density functional theory study of perfluorinated pentacene and sexithiophene. Chem. Phys. Lett. 2005, 401, 539–545. [Google Scholar] [CrossRef]
  99. Yang, X.; Li, Q.; Shuai, Z. Theoretical modelling of carrier transports in molecular semiconductors: Molecular design of triphenylamine dimer systems. Nanotechnology 2007, 18, 424029. [Google Scholar] [CrossRef]
  100. Coropceanu, V.; Cornil, J.; da Silva Filho, D.A.; Olivier, Y.; Silbey, R.; Brédas, J.L. Charge Transport in Organic Semiconductors. Chem. Rev. 2007, 107, 926–952. [Google Scholar] [CrossRef]
Figure 1. Molecular structures of the investigated acceptors and donor PTB7-Th.
Figure 1. Molecular structures of the investigated acceptors and donor PTB7-Th.
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Figure 2. (a) Frontier molecular orbital energy levels, (b) orbital delocalization index, (c) orbital interaction diagram, and (d) absorption spectra of MB←N, MB-N, and MC-N (H: the highest occupied molecular orbital; L: the lowest unoccupied molecular orbital; green texts indicate the major contribution of the molecular orbitals from the fragments to the orbitals of the complex).
Figure 2. (a) Frontier molecular orbital energy levels, (b) orbital delocalization index, (c) orbital interaction diagram, and (d) absorption spectra of MB←N, MB-N, and MC-N (H: the highest occupied molecular orbital; L: the lowest unoccupied molecular orbital; green texts indicate the major contribution of the molecular orbitals from the fragments to the orbitals of the complex).
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Figure 3. (a) Internal reorganization energy (λ), (b) maximum transfer integral (vmax), (c) electron mobility (μe), and (d) charge hopping pathways of the studied compounds.
Figure 3. (a) Internal reorganization energy (λ), (b) maximum transfer integral (vmax), (c) electron mobility (μe), and (d) charge hopping pathways of the studied compounds.
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Figure 4. (a) 2D site representation of the transition density matrix (TDM), (b) charge difference density (CDD) maps with net transferred charge (Δq), (c) D index, and (d) oscillator strengths of the lowest three excited states (S1–S3) of the studied interfaces (CDD: red/yellow stands for accumulation/depletion of negative charges).
Figure 4. (a) 2D site representation of the transition density matrix (TDM), (b) charge difference density (CDD) maps with net transferred charge (Δq), (c) D index, and (d) oscillator strengths of the lowest three excited states (S1–S3) of the studied interfaces (CDD: red/yellow stands for accumulation/depletion of negative charges).
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Figure 5. Charge-transfer mechanisms of the lowest three excited states (S1–S3) for the studied interfaces (IEF: intermolecular electric field mechanism; HE: hot exciton mechanism; ESP: molecular electrostatic potential).
Figure 5. Charge-transfer mechanisms of the lowest three excited states (S1–S3) for the studied interfaces (IEF: intermolecular electric field mechanism; HE: hot exciton mechanism; ESP: molecular electrostatic potential).
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MDPI and ACS Style

Yang, J.; Ding, W.-L.; Li, Q.-S.; Li, Z.-S. Incorporation of a Boron–Nitrogen Covalent Bond Improves the Charge-Transport and Charge-Transfer Characteristics of Organoboron Small-Molecule Acceptors for Organic Solar Cells. Molecules 2023, 28, 811. https://doi.org/10.3390/molecules28020811

AMA Style

Yang J, Ding W-L, Li Q-S, Li Z-S. Incorporation of a Boron–Nitrogen Covalent Bond Improves the Charge-Transport and Charge-Transfer Characteristics of Organoboron Small-Molecule Acceptors for Organic Solar Cells. Molecules. 2023; 28(2):811. https://doi.org/10.3390/molecules28020811

Chicago/Turabian Style

Yang, Jie, Wei-Lu Ding, Quan-Song Li, and Ze-Sheng Li. 2023. "Incorporation of a Boron–Nitrogen Covalent Bond Improves the Charge-Transport and Charge-Transfer Characteristics of Organoboron Small-Molecule Acceptors for Organic Solar Cells" Molecules 28, no. 2: 811. https://doi.org/10.3390/molecules28020811

APA Style

Yang, J., Ding, W. -L., Li, Q. -S., & Li, Z. -S. (2023). Incorporation of a Boron–Nitrogen Covalent Bond Improves the Charge-Transport and Charge-Transfer Characteristics of Organoboron Small-Molecule Acceptors for Organic Solar Cells. Molecules, 28(2), 811. https://doi.org/10.3390/molecules28020811

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