1. Introduction
The classical tetrahedral carbon (thC) concept was proposed independently by van’t Hoff and Le Bell in 1874, which formed the cornerstone of the development of organic chemistry [1,2]. In 1968, a hypothetical planar tetracoordinate carbon (ptC) structure was proposed by Monkhorst as a transition state structure to describe the isomerization of a chiral molecule with a four-coordinate asymmetric carbon atom [3]. Compared to the tetrahedral configuration, small bond angles lead to a larger repulsion between the ligands in the planar tetracoordinate carbon (ptC) configuration. Thus, the ptC systems are usually unstable relative to their thC counterparts. How can we stabilize a ptC system? Hoffmann, Alder, and Wilcox proposed the “electronic strategy” for stabilizing ptC species in 1970, based on analyzing the molecular orbital (MO) sequence of a planar methane system [4]. The first representative ptC molecule, 1,1-dilithiocyclopropane, was theoretically predicted by Collins and coworkers in 1976 [5]. Their innovative design ideas have provided us with inspiration and confidence in exploring planar hypercoordinate molecules. Since then, many ptC, planar pentacoordinate carbon (ppC), and planar hexacoordinate carbon (p6C) species have been designed theoretically, characterized by gas spectroscopy, and synthesized experimentally [6,7,8,9,10,11,12,13,14,15]. It should be noted that several aluminum-based ptC clusters, including Al4C−, Al4C2−, CAl3Si−, CAl3Ge−, Al4CH−, Al11C−, and Al5C5−, were experimentally detected in the gas phase via photoelectron spectroscopy (PES) [16,17,18,19,20]. Interestingly, the double-layered Al11C− cluster possesses the exotic dynamic fluxionality, which can be regarded as the first aluminum-based ptC molecular rotor [21]. Interestingly, the concept of ptC can be further extended to the planar pentacoordinate carbon (ppC) and planar hexacoordinate carbon (p6C) species [22,23,24].
The peculiar structures of ptC, ppC, and p6C clusters have aroused great interest among chemists, while less attention has been paid to their silicon and germanium analogues beyond the traditional tetrahedron concept. Silicon, germanium, tin, and lead atoms lie directly under carbon in the same column of the periodic table and have some similarities in bonding properties as congeners. However, silicon, germanium, tin, and lead atoms, with their larger radii than carbon, have more stringent requirements for the coordination environment. Unexpectedly, in 2000, the first ptSi/Ge MAl4− (M = Si, Ge) clusters were detected in a gas phase photoelectron spectroscopy (PES) experiment by Wang, which possess the fan-shaped C2v structures [25]. Subsequently, theoretical researchers carried out a series of theoretical explorations and obtained some local minima systems containing the planar hypercoordinate Si (phSi), such as the C2v BnE2Si series (E = CH, BH, or Si; n = 2–5), B8Si, C58Si, M5H5Si (M = Ag, Au, Pd, Pt), and Cu6H6Si species [26,27,28,29,30]. From an experimental point of view, only the global minima structures on the potential energy surface are most likely to be characterized. Opportunities and challenges coexist in designing and characterizing new forms of ptSi species in chemistry. The ptSi Si(CO)4 (D2h) cluster was reported as the most stable species by Belanzoni in 2006 [31]. ptSi/Ge M4Cl4X (M = Ni, Pd, Pt; X = Si, Ge), X3M3 (M = Cu, Li; X = Si, Ge), and XBe4H5− (X = Si, Ge) as the GMs were predicted by our group [32,33,34]. It is worth mentioning that ppSi XMg4Y− (X = Si, Ge; Y = In, Tl), SiMg3In2, and p6Si SiSb3M3+ (M = Ca, Sr, Ba) as the GM species were predicted, which further stimulated the enthusiasm of theoretical researchers to design phSi systems [35,36]. The phSi molecules have the unique structures, properties, and can serve as high-quality precursors for the design and synthesis of new materials, which can be applied in the fields of nanotechnology, catalysis, and optoelectronics. Based on theoretical calculations, we can predict a series of physical and chemical properties of silicon-containing species, providing theoretical guidance for the design of new silicon-containing complexes and materials. Recently, a series of breakthroughs have been made in the experimental synthesis and characterization of ptSi compounds [37,38,39,40].
How to design the stable ptSi clusters is still an open question to date. Here, we focus on penta-atomic clusters containing ptSis. In 2012, Alexandrova theoretically predicted the ptSi GM SiIn42− with 18 valence electrons (VEs), inspired by the isoelectronic ptC CAl42− cluster [41]. Two years later, Xu reported nine penta-atomic ptSi GMs with 14 VEs, including Li3SiAs2−, HSiY3 (Y = Al/Ga), Ca3SiAl−, Mg4Si2−, C2LiSi, and Si3Y2 (Y = Li/Na/K) [42]. Recently, the ptX XB2Be2 (X = Si, Ge, Sn, Pb) clusters were designed, each of which has 14 VEs [43]. In 2014, a series of ptX GMs, C2Si2Xq (X = C, Si, Ge, Sn, Pb; q = +1, 0, −1), with 19/20/21 VEs, were predicted by Ding [44]. We found that the Si–X distances seem to be conspicuously long in the C2Si2X (X = C, Si, Ge, Sn, Pb) clusters, due to the rigid Si–C–C–Si ligand chain. Can we improve this situation and design the more ideal ptSi/Ge/Sn/Pb systems? The answer is yes.
The proper polarization of ligands is an effective strategy. Based on the fan-shaped structure of SiAl4, we replace two Al atoms on the top with the B atoms. As we all know, the boron atom has the same number of valence electrons as the aluminum atom, and it is more electronegative than aluminum. The isoelectronic substitution strategy is to replace the atoms in the system with one or more isoelectronic atoms, which is an effective way to develop new species. Using two N atoms to replace the remaining Al atoms in SiB2Al2, the ptSi structure is unable to be maintained. The ptSi SiB2P2, SiB2As2, and SiB2Sb2 clusters are all true minima, but their energies differ very little from those of the corresponding second structures. After many calculation attempts, we finally choose to use boron and bismuth atoms as the ligands. Based on the isoelectronic principle, using the flexible Bi−B−B−Bi ligand chain to stabilize the central X (X = Si, Ge, Sn, Pb) atoms, we theoretically predict the ptX XB2Bi2 (X = Si, Ge, Sn, Pb) in the current work. These 20 VEs ptSi/Ge/Sn/Pb clusters possess good thermodynamic and kinetic stability, although the Bi ligand atom has one lone pair (LP). Interestingly, these fan-shaped ptSi/Ge/Sn/Pb species have a unique 2π/2σ double aromaticity. These novel penta-atomic ptSi/Ge/Sn/Pb species not only enrich the family of planar hypercoordinate atoms, but also offer new ideas for designing unclassical molecules.
2. Results and Discussion
2.1. Structure and Stabilities
As depicted in Figure 1, the XB2Bi2 (X = Si, Ge, Sn, Pb) (1–4) clusters assume perfectly planar fan-shaped geometries with C2v (1A1) symmetry, whose X center is tetracoordinated in plane by two boron and two bismuth atoms. The ptSi/Ge/Sn/Pb 1–4 clusters are true GM structures on their potential energy surfaces, according to the unbiased computational global searches. For such penta-atomic clusters, the CK program can accurately achieve their global minima structures.
As shown in Figure 1, the lowest vibrational frequencies of 1–4 are 87.73, 71.47, 71.37, and 70.86 cm−1 at the PBE0-D3(BJ)/def2-TZVP level, respectively. In order to check for validity and reliability in terms of structures and the minima, the structure optimization and frequency analyses are also carried out for 1–4 using the second-order Møller–Plesset perturbation theory (MP2) with the def2-TZVP basis set [45]. As shown in Figure S1, the MP2 procedure produced essentially the same structures for 1–4 as the PBE0-D3(BJ) level, and only for minor bond distance differences. Thus, only PBE0-D3 and single-point CCSD(T)//PBE0-D3 data are to be discussed in the paper.
The Bi–B–B–Bi ligand chains are relatively rigid, and the B–B, B–Bi bond distances change little as the X atom changes. Specifically, the B–B bond distances grow slightly (1.56–1.58 Å) from 1 to 4, while the B–Bi bond distances shrink slightly (2.16–2.11 Å). According to the covalent radii data recommended by Pyykkö, both the B–B and B–Bi links are close to a double bond (1.56 and 2.19 Å). The X–B, X–Bi bond distances become longer as the X atom grows from Si to Pb. The X–B bond distances (2.08/2.23/2.48/2.59 Å) are longer than the recommended covalent single bond lengths (2.01/2.06/2.25/2.29 Å), while the X–Bi bond distances (2.62/2.73/2.97/3.08 Å) are very close to the single bond lengths (2.67/2.72/2.91/2.95 Å). The bonding properties of the XB2Bi2 (X = Si, Ge, Sn, Pb) (1–4) clusters cannot be determined solely by the bond length data.
To facilitate a comparison with the GM structures 1–4, the lowest-lying isomeric nB–nE structures are presented in Figure 2, along with the relative energies at the single-point CCSD(T)/def2-TZVP//PBE0-D3(BJ)/def2-TZVP level. Their optimized Cartesian coordinates are provided in Table S1. As shown in Figure 2, the T1 diagnostic values of the CCSD(T) method for clusters 1–4 are below the recommended threshold of 0.02. Thus, the single-reference method is reliable for the further electronic and structural analyses of these ptSi/Ge/Sn/Pb species. The ptX XB2Bi2 (X = Si, Ge, Sn, Pb) (1–4) are the true GMs, which are 1.32/1.04/5.70/8.04 more stable than the second low-lying isomers at the single-point CCSD(T) level.
Two boron atoms always exist as the B2 unit in isomers 1B–4E, mainly due to the strong B–B covalent bonding. The isomer 1B is formed by interchanging the positions of the boron and silicon atoms in the structure of GM 1. In the periodic table, boron and silicon are diagonal elements, so they have small differences in electronegativity and geometric size. Thus, the interchange of their positions doesn’t make much difference to their energies. 1C possesses a typical three-dimensional structure, while 1/1B/1D/1E are all planar. 1D is obtained by interchanging the Si atom with one Bi atom in structure 1. If the Si atom in structure 1B is exchanged with the adjacent Bi atom, 1E is obtained. Similar associations are found between other isomers. Only a few three-dimensional geometric configurations appear, while the rest maintain the fan-shaped structures in Figure 2. Our global searches of the potential energy surfaces indicate that the GM ptX clusters 1–4 have a reasonably good thermodynamic stability (Figure 2).
Wiberg bond indices (WBIs) and natural atomic charges can help us understand more about the interactions between atoms in clusters 1–4. As shown in Figure 3, the B–B/B–Bi links have WBIs of 1.45–1.37/1.55–1.92, indicating that they possess a certain double bond character. The corresponding X–B/X–Bi WBIs are 0.77–0.53/0.81–0.56, suggesting that they are close to covalent single bonds. In terms of natural atomic charges, the boron atoms carry partial negative charges −0.56/−0.58/−0.59/−0.59|e| in 1/2/3/4, respectively, revealing that the changes in X have little effect on them. Both ptSi/Ge/Sn/Pb and Bi atoms carry partial positive charges in 1–4 (+0.26/+0.30/+0.50/+0.58|e| for X, +0.43/+0.43/+0.34/+0.30 |e| for Bi). The distribution of charge in the clusters is closely related to the electronegativity of the atoms. The degree of polarization of the X–B/X–Bi/B–Bi bonding in clusters 1–4 is not large, owing to small differences in the electronegativities of the elements (Si: 1.90; Ge: 2.01; Sn: 1.96; Pb: 2.33; B: 2.04; Bi: 2.02). Thus, the bonding between atoms in clusters 1–4 is dominated by covalent bonds.
Generally, the energy gap between the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) can reflect the chemical activity of the system. The greater the HOMO–LUMO gaps of one system, the weaker its chemical activity, and vice versa. As the ptSi/Ge/Sn/Pb GM species XB2Bi2 (X = Si, Ge, Sn, Pb) have sizable HOMO–LUMO gaps (2.79, 2.61, 2.52 and 2.46 eV), this suggests that these neutral ptSi/Ge/Sn/Pb species are electronically robust (see Figure S2). The ptC CB2Bi2 structure has a smaller HOMO–LUMO gap than those of XB2Bi2 (X = Si, Ge, Sn, Pb), suggesting its relatively weak stability. Indeed, the overall reactivity of one species is directly related to its absolute HOMO and LUMO energies. The energy of the HOMO usually reflects the tendency to be the electron donor of one system, whereas the energy of the LUMO corresponds to its electron acceptor properties. The HOMO energy increases as the X atom increases in XB2Bi2 (X = Si, Ge, Sn, Pb). Thus, SiB2Bi2 is most stable, while PbB2Bi2 is the easiest electron donor. The LUMO SiB2Bi2 is a typical π orbital whose energy is −2.86 eV. The LUMOs of XB2Bi2 (X = Ge, Sn, Pb) are σ-type orbitals, which are different to those of SiB2Bi2. The LUMO energy increases as X increases from Ge to Pb, although the changes are small. From the energy of LUMO, the activity of SiB2Bi2 is slightly larger than that of XB2Bi2 (X = Ge, Sn, Pb).
From the point of view of experimental characterization, the dynamic stability of a cluster is as important as the thermodynamic stability. To assess the dynamic stability of GM clusters 1–4, we performed Born–Oppenheimer molecular dynamics (BOMD) simulations at the PBE0/def2-SVP level. Each simulation was performed at near room temperature (298 K) for a time duration of 50 ps. The kinetic stability of 1–4 can be evaluated by examining the structural evolution during the BOMD simulations, as quantified by the root-mean-square deviations (RMSDs) in Figure 4. The average RMSDs 0.12–0.13 Å are relatively small for ptX clusters 1–4, indicating good kinetic stability against isomerization or decomposition.
2.2. CMOs and AdNDP Analyses
The canonical molecular orbital (CMO) analyses are important and fundamental, which can help us to understand the bonding characteristics of these ptX XB2Bi2 (X = Si, Ge, Sn, Pb) clusters. Since the electronic structures of clusters 1–4 are similar, we only analyze one representative SiB2Bi2 (1) cluster. SiB2Bi2 (1) has 20 valence electrons. Its ten occupied CMOs are depicted in Figure 5, which can be divided into five subsets based on the atomic orbital composition. The detailed compositions of the CMOs are shown in Table S2.
There are two CMOs (HOMO–7 and HOMO–8) in subset (a), which correspond to the lone pairs (LPs) of two Bi atoms. There are five σ CMOs in subset (b), which are responsible for five peripheral Lewis-type two-center two-electron (2c–2e) σ bonds along the five-membered ring. Subset (c) consists of only one CMO (HOMO–1), which is a delocalized σ framework. It is composed of 35% Si 3s/3p, 55% B 2s/2p, and 8% Bi 6p. Subset (d) includes one π-type CMO (HOMO), which corresponds to the delocalized π bond of the Bi–B–B–Bi ligands chain. The only CMO (HOMO–4) of subset (e) is a fully delocalized π CMO, including the contributions of 27% Si 3p, 46.4% B 2p, 25.5% Bi 6p. The delocalized π CMO (e) and σ CMO (c) cannot be transformed to Lewis-type π/σ bonds, indicating that C2v SiB2Bi2 (1) possesses double (2π and 2σ) aromaticity according to the (4n + 2) Hückel rule. The double (2π and 2σ) aromaticity provides a strong guarantee for the stability of the SiB2Bi2 cluster. The LUMO (f) of SiB2Bi2 is a typical π orbital, endowing the system with a certain activity as an electron acceptor.
Natural Bond Orbitals (NBOs) are highly localized, and the NBO analysis method can generally search for one-center two-electron (1c–2e) bonds and two-center two-electron (2c–2e) bonds, transforming the system into a localized description in order to correspond with the Lewis formula. However, for multicenter systems with more than three centers, the NBO analysis method becomes overwhelmed. On the other hand, molecular orbitals (MOs) are highly delocalized, and the emergence of AdNDP serves as a transition between these two extreme forms of description. Since being proposed by Dmitry Yu. Zubarev and Alexander I. Boldyrev, AdNDP has been widely used as a tool to reveal the existence of delocalized bonds in specific systems, and it is a powerful tool for searching for n-center two-electron (nc–2e) bonds (n is less than the number of atoms contained in the cluster). Specifically, AdNDP can perform multicenter bond searches by utilizing density matrix information, which involves transforming multicenter bonds into localized descriptions to handle the complexity and diversity of chemical bonds. Therefore, it can provide more accurate information about chemical bonds, allowing for a deeper understanding. The closer the occupation numbers (ONs) obtained are to the ideal ON = 2.00|e|, the more strongly the bonding mode analysis can be guaranteed.
In the AdNDP analysis process, the following basic principles should be followed: (1) the fewer the residual electrons, the better; (2) the closer the occupation numbers are to the ideal occupation number of 2.00|e|, the better; (3) the smaller the number of orbital centers, the better; (4) avoid duplicate occupation numbers as much as possible; (5) the AdNDP orbital distribution satisfies molecular symmetry. Although AdNDP partially satisfies people’s needs for the bonding analysis of certain molecules, it also has limitations. For example, there is no absolute rule in searching for n-center two-electron (nc–2e) bonds, which often requires empirical analysis to complete, leading to the analysis results being influenced by human factors to some extent. Therefore, when performing a bonding analysis of a system, we need to consider the AdNDP analysis results in combination with CMO and other bonding analysis methods to ensure the rationality of the corresponding analysis.
To further elucidate the bonding nature of SiB2Bi2 (1), we carried out an AdNDP analysis and the results are given in Figure 6. As expected, the above bonding picture based on the CMO analysis is faithfully borne out from the AdNDP analysis. As shown in Figure 6a, the LPs of two Bi atoms have the occupation numbers (ONs) 1.97|e|, which are close to the ideal value (2.00|e|). In (b), there are one B–B, two B–Bi, and two Si–Bi 2c–2e σ bonds on the periphery, endowing the system with rigid boundaries. There is one delocalized B–Si–B 3c–2e σ bond in (c), which contributes the 2σ aromaticity. The 4c–2e delocalized π bond in (d) can give additional stability to the Bi–B–B–Bi ligand chain. Such a delocalized π bond between ligands is absent in the 16 VEs ptSi SiAl4 cluster. The fully delocalized π bond in (e) endows the ptSi system with 2π aromaticity. Electron delocalization is very beneficial for the stability of one planar cluster because the delocalized bonds can provide additional stabilization energy for the system. Here, the conclusion of the AdNDP is completely consistent with the above CMO analysis. It should be noted that there are two 2c–2e Si–Bi σ bonds, one delocalized 3c–2e σ bond, and one delocalized 5c–2e π bond, around the ptSi atom, which make the ptSi satisfy the stable eight-electron rule. Since the bonding of clusters 2–4 is similar to that of cluster 1, we will not go into details here. Boldyrev and Simons have stressed that three σ bonds and one π bond around the C center are crucial for an 18-electron ptC cluster. This simple and effective judgment is also applicable to these ptSi/Ge/Sn/Pb XB2Bi2 (X = Si, Ge, Sn, Pb) systems. In other words, the eight-electron rule (three σ bonds and one π bond) is also applicable for ptSi/Ge/Sn/Pb species. As shown in Figure S3, the ELFσ and ELFπ analyses indicate that there is double σ and π electronic delocalization in the SiB2Bi2 system. It should be noted that the existence of two π CMOs slightly weakens the aromaticity of the system, but the delocalization nature of the π electrons remains unchanged.
2.3. 2π + 2σ Aromaticity
According to the CMO and AdNDP analyses, the ptSi/Ge/Sn/Pb clusters 1–4 are governed explicitly by double 2π/2σ aromaticity, as independently supported by their NICS data (Figure 7). As one of the main methods of aromaticity characterization, NICS can provide reliable quantitative analysis results of aromaticity. The probe (Bq) atoms are inserted above (0 and 1 Å) of the B–X–B (X = Si, Ge, Sn, Pb) triangle centers, and the magnetic shielding effect at these points is calculated. The negative NICS(0) and NICS(1) values can reflect σ and π aromaticity, respectively. In general, NICS values in the z direction (NICSzz) are more accurate than NICS values in evaluating the aromaticity.
Here, we use the NICS(0)zz and NICS(1)zz data to assess the aromaticity of 1–4. As shown in Figure 7, the NICS(0)zz values at the geometric center of the B–X–B triangles are −32.62/−35.01/−26.70/−27.19 ppm for 1–4, respectively, suggesting that the ptX XB2Bi2 (X = Si, Ge, Sn, Pb) clusters possess good σ aromaticity. The NICS(1)zz values at 1 Å above the B–X–B, B–X–Bi triangles are all negative (from −4.73 to −14.81 ppm), indicating clusters 1–4 are π aromatic. Thus, the NICS(0)zz and NICS(1)zz data further support that systems 1–4 have double σ/π aromaticity, which is consistent with the conclusion obtained from the AdNDP analysis.
With only a few points of NICSzz data, it does not seem enough. The magnetic criterion isochemical shielding surface (ICSS) calculation is handled in a three-dimensional grid of lattice points and direction and anisotropy effects can be quantified in a more straightforward way. In comparison with the NICS values at several certain points in the cluster, the research method of ICSS is more intuitive and vivid, which can comprehensively demonstrate the aromaticity of planar systems. To more intuitively observe the aromaticity, the color-filled maps of ICSS(0)zz and ICSS(1)zz of 1 are shown in Figure 8. Note here that positive ICSSzz values indicate diatropic ring currents and aromaticity. As depicted in Figure 8, the positive ICSS(0)zz and ICSS(1)zz values reveal the corresponding aromaticity of 1. The situation of 2–4 is similar, as shown in Figure S4.
2.4. Simulated IR Spectra
To facilitate further experimental characterization, the IR spectra of the ptX XB2Bi2 (X = Si, Ge, Sn, Pb) clusters were simulated at the theoretical level of PBE0-D3(BJ)/def2-TZVP. As shown in Figure 9, the strongest absorption peak at 470 cm−1 of SiB2Bi2 (1) mainly originates from B–Si anti-symmetry stretching vibration. The second strongest peak at 205 cm−1 originates from its anti-symmetry Si–Bi stretching vibration. The weak absorption peak at 1230 cm−1 corresponds to B–B stretching vibration. The other absorption peaks are mainly generated by coupled vibrations. As shown in Figure S5, the calculated IR spectra of 2–4 turned out to be similar to those of 1. These simulated infrared spectra of the ptX XB2Bi2 (X = Si, Ge, Sn, Pb) clusters will provide a theoretical basis for subsequent experimental characterization.
3. Methods and Materials
The unbiased structural searches for XB2Bi2 (X = Si, Ge, Sn, Pb) clusters were performed at the PBE0/def2-SVP level, using the Coalescence Kick (CK) program [46,47,48]. More than 4000 stationary points (2000 singlets and 2000 triplets) were probed on the potential energy surfaces for each of the XB2Bi2 (X = Si, Ge, Sn, Pb) clusters. The top five low-lying isomer structures obtained in this way were then selected for re-optimization and frequency analyses at the PBE0-D3(BJ)/def2-TZVP level [49]. The higher-level single point calculations at CCSD(T)/def2-TZVP//PBE0-D3(BJ)/def2-TZVP were performed to obtain an accurate stability ordering of the top five isomers [50]. The ultimate relative energies of isomers were determined by the CCSD(T)/def2-TZVP energies plus the PBE0-D3(BJ)/def2-TZVP zero-point energy corrections.
Natural bond orbital (NBO) analyses were performed at the PBE0/def2-TZVP level [51]. Chemical bonding was elucidated via the canonical molecular orbital (CMO), adaptive natural density partitioning (AdNDP), and electron localization function (ELF) analyses [52,53]. The compositions of canonical molecular orbitals (CMOs) were analyzed using the Multiwfn progaram [54]. The Nucleus-independent chemical shifts (NICSs) were calculated to assess the aromatic characteristics of ptX clusters 1–4 [55]. The kinetic stability of the XB2Bi2 (X = Si, Ge, Sn, Pb) clusters were evaluated by Born–Oppenheimer molecular dynamics (BOMD) simulations at the PBE0/def2-SVP level of theory, at 298 K [56]. Isochemical shielding surface (ICSS) visualization was performed using the Multiwfn program [57]. All calculations for electric structures in this work were performed using the Gaussian 16 package [58].
4. Conclusions
We have computationally designed a series of ptSi/Ge/Sn/Pb XB2Bi2 (X = Si, Ge, Sn, Pb) clusters with 20 VEs in this study. These fan-shaped ptSi/Ge/Sn/Pb clusters are true global minima via computer structural searches and quantum chemical calculations. Chemical bonding analyses indicate that these ptX XB2Bi2 (X = Si, Ge, Sn, Pb) clusters have double 2π/2σ aromaticity, as well as LPs of two Bi, five Lewis-type σ single bonds, and one delocalized 4c–2e Bi–B–B–Bi π bond. Thus, the 20 VEs are ideal for these penta-atomic ptSi/Ge/Sn/Pb clusters. These penta-atomic ptSi/Ge/Sn/Pb species with novel and peculiar bonding will further enrich the study of planar tetracoordination compounds.
J.-C.G. designed the study. Y.-X.J. performed the global minima searching and the bonding analysis. Y.-X.J. wrote the draft. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
Data is contained within the article and
The authors declare no conflicts of interest.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Figure 1. Optimized GM structures of XB2Bi2 (X = Si, Ge, Sn, Pb) clusters with bond distances (in Å) at the PBE0-D3(BJ)/def2-TZVP level. The lowest vibrational frequencies are shown (in cm−1).
Figure 2. Optimized global minimum structures 1–4 of XB2Bi2 (X = Si, Ge, Sn, Pb) clusters and their four low-lying isomers (nB–nE) at the PBE0-D3(BJ)/def2-TZVP level. Relative energies are listed in kcal mol−1 at the single-point CCSD(T)/def2-TZVP//PBE0-D3(BJ)/def2-TZVP level, with zero-point energy (ZPE) corrections at PBE0-D3(BJ)/def2-TZVP. The T1 diagnostic values of the converged CCSD wavefunction are shown within parentheses.
Figure 3. Calculated Wiberg bond indices (WBIs; blue) and natural atomic charges (in |e|; red color) of XB2Bi2 (X = Si, Ge, Sn, Pb) clusters.
Figure 4. Calculated root-mean-square deviations (RMSDs) of GM clusters 1–4 of XB2Bi2 (X = Si, Ge, Sn, Pb) during the Born–Oppenheimer molecular dynamics (BOMD) simulations at 298 K.
Figure 5. Analysis of canonical molecular orbitals (CMOs) of C2v SiB2Bi2 (1) cluster. (a) Two Bi lone pairs (LPs); (b) the CMOs for Lewis-type two-center two-electron (2c–2e) B–B, B–Bi, Si–Bi σ bonds; (c) one σ CMO for delocalized B–Si–B 3c–2e bond; (d) one delocalized Bi–B–B–Bi 4c–2e π CMO; (e) one delocalized 5c–2e π CMO; (f) the π-type LUMO.
Figure 6. AdNDP bonding patterns of SiB2Bi2 (1). ONs are shown. (a) Two lone pairs (LPs) of two Bi atoms; (b) two-center two-electron (2c–2e) B–B, B–Bi, Si–Bi σ bonds; (c) one delocalized B–Si–B 3c–2e σ bond; (d) one delocalized Bi–B–B–Bi 4c–2e π bond; (e) one delocalized 5c–2e π bond.
Figure 7. Nucleus-independent chemical shifts (NICSs) for clusters 1–4. NICS(0), shown in blue, is calculated at the center of a triangle. NICS(1), shown in red, is calculated at 1 Å above the center of a triangle.
Figure 8. Color-filled maps of (a) ICSS(0)zz and (b) ICSS(1)zz (in ppm) for the SiB2Bi2 cluster (1). Positive values indicate aromaticity. The values 0 and 1 in parentheses represent the height above the molecular planes (in Å).
Figure 9. Simulated infrared spectra of SiB2Bi2 (1) at the PBE0-D3(BJ)/def2-TZVP level.
Supplementary Materials
The following supporting information can be downloaded at
References
1. Van’t Hoff, J.H. Sur Les Formules De Structure Dans L’espace. Arch. Neerl. Sci. Exactes Nat.; 1874; 9, pp. 445-454.
2. Le Bel, J.A. Sur Les Relations Qui Existent Entre Les Formules Atomiques Des Corps Organiques Et Le Pouvoir Rotatoire De Leurs Dissolutions. Bull. Soc. Chim. Fr.; 1874; 22, pp. 337-347.
3. Monkhorst, H.J. Activation Energy for Interconversion of Enantiomers Containing an Asymmetric Carbon Atom without Breaking Bonds. Chem. Commun.; 1968; 18, pp. 1111-1112. [DOI: https://dx.doi.org/10.1039/c19680001111]
4. Hoffmann, R.; Alder, R.W.; Wilcox, C.F. Planar Tetracoordinate Carbon. J. Am. Chem. Soc.; 1970; 92, pp. 4992-4993. [DOI: https://dx.doi.org/10.1021/ja00719a044]
5. Collins, J.B.; Dill, J.D.; Jemmis, E.D.; Apeloig, Y.; Schleyer, P.v.R.; Seeger, R.; Pople, J.A. Stabilization of Planar Tetracoordinate Carbon. J. Am. Chem. Soc.; 1976; 98, pp. 5419-5427. [DOI: https://dx.doi.org/10.1021/ja00434a001]
6. Sorger, K.; Schleyer, P.v.R. Planar and Inherently Non-tetrahedral Tetracoordinate Carbon: A Status Report. J. Mol. Struct.; 1995; 338, pp. 317-346. [DOI: https://dx.doi.org/10.1016/0166-1280(95)04233-V]
7. Erker, G.; Röttger, D. Compounds Containing Planar-Tetracoordinate Carbon. Angew. Chem. Int. Ed. Engl.; 1997; 36, pp. 812-827. [DOI: https://dx.doi.org/10.1002/anie.199708121]
8. Erker, G. Using Bent Metallocenes for Stabilizing Unusual Coordination Geometries at Carbon. Chem. Soc. Rev.; 1999; 28, pp. 307-314. [DOI: https://dx.doi.org/10.1039/a708611c]
9. Siebert, W.; Gunale, A. Compounds Containing a Planar-Tetracoordinate Carbon Atom as Analogues of Planar Methane. Chem. Soc. Rev.; 1999; 28, pp. 367-371. [DOI: https://dx.doi.org/10.1039/a801225c]
10. Keese, R. Carbon Flatland: Planar Tetracoordinate Carbon and Fenestranes. Chem. Rev.; 2006; 106, pp. 4787-4808. [DOI: https://dx.doi.org/10.1021/cr050545h]
11. Merino, G.; Méndez-Rojas, M.A.; Vela, A.; Heine, T. Recent Advances in Planar Tetracoordinate Carbon Chemistry. J. Comput. Chem.; 2007; 28, pp. 362-372. [DOI: https://dx.doi.org/10.1002/jcc.20515]
12. Yang, L.M.; Ganz, E.; Chen, Z.F.; Wang, Z.X.; Schleyer, P.v.R. Four Decades of the Chemistry of Planar Hypercoordinate Compounds. Angew. Chem. Int. Ed.; 2015; 54, pp. 9468-9501. [DOI: https://dx.doi.org/10.1002/anie.201410407]
13. Vassilev-Galindo, V.; Pan, S.; Donald, K.J.; Merino, G. Planar Pentacoordinate Carbons. Nat. Rev. Chem.; 2018; 2, 0114. [DOI: https://dx.doi.org/10.1038/s41570-018-0114]
14. Das, P.; Chattaraj, P.K. Structure and Bonding in Planar Hypercoordinate Carbon Compounds. Chemistry; 2022; 4, pp. 1723-1756. [DOI: https://dx.doi.org/10.3390/chemistry4040113]
15. Wang, Y.; Li, Y.; Chen, Z. Planar Hypercoordinate Motifs in Two-Dimensional Materials. Acc. Chem. Res.; 2020; 53, pp. 887-895. [DOI: https://dx.doi.org/10.1021/acs.accounts.0c00025] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32223212]
16. Li, X.; Wang, L.S.; Boldyrev, A.I.; Simons, J. Tetracoordinated Planar Carbon in the Al4C− Anion. A Combined Photoelectron Spectroscopy and Ab Initio Study. J. Am. Chem. Soc.; 1999; 121, pp. 6033-6038. [DOI: https://dx.doi.org/10.1021/ja9906204]
17. Li, X.; Zhang, H.F.; Wang, L.S.; Geske, G.D.; Bodyrev, A.I. Pentaatomic Tetracoordinate Plannar Carbon CAl42–: A New Structural Unit and Its Salt Complexes. Angew. Chem. Int. Ed.; 2000; 39, pp. 3630-3632. [DOI: https://dx.doi.org/10.1002/1521-3773(20001016)39:20<3630::AID-ANIE3630>3.0.CO;2-R]
18. Wang, L.S.; Boldyrev, A.I.; Li, X.; Simons, J. Experimental Observation of Pentaatomic Tetracoordinate Planar Carbon–Containing Molecules. J. Am. Chem. Soc.; 2000; 122, pp. 7681-7687. [DOI: https://dx.doi.org/10.1021/ja993081b]
19. Zhang, C.J.; Dai, W.S.; Xu, H.G.; Xu, X.L.; Zheng, W.J. Structural Evolution of Carbon-Doped Aluminum Clusters AlnC− (n = 6–15): Anion Photoelectron Spectroscopy and Theoretical Calculations. J. Phys. Chem.; 2022; 126, pp. 5621-5632. [DOI: https://dx.doi.org/10.1021/acs.jpca.2c04754]
20. Zhang, C.J.; Wang, P.; Xu, X.L.; Xu, H.G.; Zheng, W.J. Photoelectron Spectroscopy and Theoretical Study of AlnC5−/0 (n = 1–5) clusters: Structural Evolution, Relative Stability of Star-Like Cluster, and Planar Tetracoordinate Carbon Structure. Phys. Chem. Chem. Phys.; 2021; 23, pp. 1967-1975. [DOI: https://dx.doi.org/10.1039/D0CP06081J]
21. Bai, L.X.; Barroso, J.; Orozco-Ic, M.; Ortiz-Chi, F.; Guo, J.C.; Merino, G. CAl11−: A Molecular Rotor with a Quasi-Planar Tetracoordinate Carbon. Chem. Commun.; 2023; 59, pp. 4966-4969. [DOI: https://dx.doi.org/10.1039/D3CC00855J]
22. Pei, Y.; An, W.; Ito, K.; Schleyer, P.v.R.; Zeng, X.C. Planar Pentacoordinate Carbon in CAl5+: A Global Minimum. J. Am. Chem. Soc.; 2008; 130, pp. 10394-10400. [DOI: https://dx.doi.org/10.1021/ja803365x]
23. Guo, J.C.; Feng, L.Y.; Barroso, J.; Merino, G.; Zhai, H.J. Planar or Tetrahedral? A Ternary 17-electron CBe5H4+ Cluster with Planar Pentacoordinate Carbon. Chem. Commun.; 2020; 56, pp. 8305-8308. [DOI: https://dx.doi.org/10.1039/D0CC02973D] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32573598]
24. Leyva-Parra, L.; Osvaldo Yañez, L.D.; Inostroza, D.; Barroso, J.; Vasquez-Espinal, A.; Merino, G.; Tiznado, W. Planar Hexacoordinate Carbons: Half Covalent, Half Ionic. Angew. Chem. Int. Ed.; 2021; 16, pp. 8700-8704. [DOI: https://dx.doi.org/10.1002/anie.202100940] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33527696]
25. Boldyrev, A.I.; Li, X.; Wang, L.S. Experimental Observation of Pentaatomic Tetracoordinate Planar Si- and Ge-Containing Molecules: MAl4− and MAl4. Angew. Chem. Int. Ed.; 2000; 39, pp. 3307-3310. [DOI: https://dx.doi.org/10.1002/1521-3773(20000915)39:18<3307::AID-ANIE3307>3.0.CO;2-#]
26. Li, S.D.; Miao, C.Q.; Guo, J.C.; Ren, G.M. Planar Tetra-, Penta-, Hexa-, Hepta-, and Octacoordinate Silicons: A Universal Structural Pattern. J. Am. Chem. Soc.; 2004; 126, pp. 16227-16231. [DOI: https://dx.doi.org/10.1021/ja045303y] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15584759]
27. Minyaev, R.M.; Gribanova, T.N.; Starikov, A.G.; Minkin, V.I. Octacoordinated Main-Group Element Centres in a Planar Cyclic B8 Environment: An Ab Initio Study. Mendeleev Commun.; 2001; 11, pp. 213-214. [DOI: https://dx.doi.org/10.1070/MC2001v011n06ABEH001496]
28. Liu, F.L.; Jalbout, A.F. Structural, Electronic, and Magnetic Properties of Heterofullerene C58Si with Odd Number of Atoms and a Near Planar Tetracoordinate Si Atom. J. Mol. Graph. Model.; 2008; 26, pp. 1327-1332. [DOI: https://dx.doi.org/10.1016/j.jmgm.2008.01.003] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/18328755]
29. Li, S.D.; Miao, C.Q. M5H5X (M = Ag, Au, Pd, Pt; X = Si, Ge, P, S): Hydrometal Pentagons with D5h Planar Pentacoordinate Nonmetal Centers. J. Phys. Chem. A; 2005; 109, pp. 7594-7597. [DOI: https://dx.doi.org/10.1021/jp0530000] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16834129]
30. Li, S.D.; Ren, G.M.; Miao, C.Q. Hexacoordinate Planar Main Group Atoms Centered in Hexagonal Hydrocopper Complexes Cu6H6X (X = Si, P, As). Inorg. Chem.; 2004; 43, pp. 6331-6333. [DOI: https://dx.doi.org/10.1021/ic049623u]
31. Belanzoni, P.; Giorgi, G.; Cerofolini, G.F.; Sgamellotti, A. Planar Tetracoordinated Silicon in Silicon Carbonyl Complexes: A DFT Approach. J. Phys. Chem. A; 2006; 110, pp. 4582-4591. [DOI: https://dx.doi.org/10.1021/jp056829n]
32. Guo, J.C.; Li, S.D. Planar Tetra-Coordinate Si and Ge in Perfectly Squared Ni4Cl4X Complexes. J. Mol. Struct. THEOCHEM; 2007; 816, pp. 59-65. [DOI: https://dx.doi.org/10.1016/j.theochem.2007.03.040]
33. Guo, J.C.; Miao, C.Q.; Ren, G.M. Planar Tetracoordinate Si and Ge in π-aromatic X3Cu3+ (X = Si, Ge) Cations. Comput. Theor. Chem.; 2014; 1032, pp. 7-11. [DOI: https://dx.doi.org/10.1016/j.comptc.2014.01.020]
34. Guo, J.C.; Wu, H.X.; Ren, G.M.; Miao, C.Q.; Li, Y.X. D3h X3Li3+ (X = C, Si and Ge): Superalkali Cations Containing Three Planar Tetracoordinate X atoms. Comput. Theor. Chem.; 2016; 1083, pp. 1-6. [DOI: https://dx.doi.org/10.1016/j.comptc.2016.03.007]
35. Wang, M.H.; Dong, X.; Cui, Z.H.; Orozco-Ic, M.; Ding, Y.H.; Barroso, J.; Merino, G. Planar Pentacoordinate Silicon and Germanium Atoms. Chem. Commun.; 2020; 56, pp. 13772-13775. [DOI: https://dx.doi.org/10.1039/D0CC06107G] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33089264]
36. Chen, C.; Wang, M.H.; Feng, L.Y.; Zhao, L.Q.; Guo, J.C.; Zhai, H.J.; Cui, Z.H.; Pan, S.; Merino, G. Bare and Ligand Protected Planar Hexacoordinate Silicon in SiSb3M3+ (M = Ca, Sr, Ba) Clusters. Chem. Sci.; 2022; 13, pp. 8045-8051. [DOI: https://dx.doi.org/10.1039/D2SC01761J] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35919428]
37. Ebner, F.; Greb, L. Calix [4] pyrrole Hydridosilicate: The Elusive Planar Tetracoordinate Silicon Imparts Striking Stability to Its Anionic Silicon Hydride. J. Am. Chem. Soc.; 2018; 140, pp. 17409-17412. [DOI: https://dx.doi.org/10.1021/jacs.8b11137] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30500194]
38. Nukazawa, T.; Iwamoto, T. An Isolable Tetrasilicon Analogue of a Planar Bicyclo [1.1.0]butane with π-Type Single-Bonding Character. J. Am. Chem. Soc.; 2020; 142, pp. 9920-9924. [DOI: https://dx.doi.org/10.1021/jacs.0c03874] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32375476]
39. Ghana, P.; Rump, J.; Schnakenburg, G.; Arz, M.I.; Filippou, A.C. Planar Tetracoordinated Silicon (ptSi): Room-Temperature Stable Compounds Containing Anti-van’t Hoff/Le Bel Silicon. J. Am. Chem. Soc.; 2021; 143, pp. 420-432. [DOI: https://dx.doi.org/10.1021/jacs.0c11628] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33347313]
40. Shan, C.; Dong, S.; Yao, S.; Zhu, J.; Driess, M. Synthesis and Reactivity of An Anti-van’t Hoff/Le Bel Compound with a Planar Tetracoordinate Silicon(II) Atom. J. Am. Chem. Soc.; 2023; 145, pp. 7084-7089. [DOI: https://dx.doi.org/10.1021/jacs.3c00722]
41. Alexandrova, A.N.; Nayhouse, M.J.; Huynh, M.T.; Kuo, J.L.; Melkonian, A.V.; Chavez, G.; Hernando, N.M.; Kowal, M.D.; Liu, C.P. Selected AB42−/− (A = C, Si, Ge; B = Al, Ga, In) Ions: A Battle between Covalency and Aromaticity, and Prediction of Square Planar Si in SiIn42−/−. Phys. Chem. Chem. Phys.; 2012; 14, pp. 14815-14821. [DOI: https://dx.doi.org/10.1039/c2cp41821e] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22868353]
42. Xu, J.; Ding, Y.H. Pentaatomic Planar Tetracoordinate Silicon with 14 Valence Electrons: A Large-Scale Global Search of SiXnYmq(n + m = 4; q = 0, ±1, −2; X, Y = Main Group Elements From H to Br). J. Comput. Chem.; 2015; 36, pp. 355-360. [DOI: https://dx.doi.org/10.1002/jcc.23792] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25430676]
43. Zhao, L.Q.; Guo, J.C.; Zhai, H.J. Ternary 14-Electron XB2Be2 (X = Si, Ge, Sn, Pb) Clusters: A Planar Tetracoordinate Silicon (ptSi) System and Its ptGe/Sn/Pb Congeners. Phys. Chem. Chem. Phys.; 2022; 24, pp. 7068-7076. [DOI: https://dx.doi.org/10.1039/D1CP05226H] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35258052]
44. Sui, J.J.; Xu, J.; Ding, Y.H. A Template for a Planar Tetracoordinate Heavier Group 14 Atom: A Global Study of C2Si2Xq.(X = C, Si, Ge, Sn, Pb; q = +1, 0, −1). Dalton Trans.; 2016; 45, pp. 56-60. [DOI: https://dx.doi.org/10.1039/C5DT03989D] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26605837]
45. Head-Gordon, M.; Pople, J.A.; Frisch, M.J. MP2 Energy Evaluation by Direct Methods. Chem. Phys. Lett.; 1988; 153, pp. 503-506. [DOI: https://dx.doi.org/10.1016/0009-2614(88)85250-3]
46. Saunders, M. Stochastic Search for Isomers on a Quantum Mechanical Surface. J. Comput. Chem.; 2004; 25, pp. 621-626. [DOI: https://dx.doi.org/10.1002/jcc.10407] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/14978704]
47. Sergeeva, A.P.; Averkiev, B.B.; Zhai, H.J.; Boldyrev, A.I.; Wang, L.S. All-Boron Analogues of Aromatic Hydrocarbons: B17− and B18−. J. Chem. Phys.; 2011; 134, 224304. [DOI: https://dx.doi.org/10.1063/1.3599452]
48. Adamo, C.; Barone, V. Toward Reliable Density Functional Methods without Adjustable Parameters: The PBE0 Model. J. Chem. Phys.; 1999; 110, pp. 6158-6170. [DOI: https://dx.doi.org/10.1063/1.478522]
49. Weigend, F.; Ahlrichs, R. Balanced Basis Sets of Split Valence, Triple Zeta Valence and Quadruple Zeta Valence Quality for H to Rn: Design and Assessment of Accuracy. Phys. Chem. Chem. Phys.; 2005; 7, pp. 3297-3305. [DOI: https://dx.doi.org/10.1039/b508541a]
50. Pople, J.A.; Head-Gordon, M.; Raghavachari, K. Quadratic Configuration Interaction. A General Technique for Determining Electron Correlation Energies. J. Chem. Phys.; 1987; 87, pp. 5968-5975. [DOI: https://dx.doi.org/10.1063/1.453520]
51. Glendening, E.D.; Landis, C.R.; Weinhold, F. NBO 6.0: Natural Bond Orbital Analysis Program. J. Comput. Chem.; 2013; 34, pp. 1429-1437. [DOI: https://dx.doi.org/10.1002/jcc.23266]
52. Zubarev, D.Y.; Boldyrev, A.I. Developing Paradigms of Chemical Bonding: Adaptive Natural Density Partitioning. Phys. Chem. Chem. Phys.; 2008; 10, pp. 5207-5217. [DOI: https://dx.doi.org/10.1039/b804083d]
53. Silvi, B.; Savin, A. Classification of chemical Bonds Based on Topological Analysis of Electron Localization Functions. Nature; 1994; 371, pp. 683-686. [DOI: https://dx.doi.org/10.1038/371683a0]
54. Lu, T.; Chen, F.W. Multiwfn: A Multifunctional Wavefunction Analyzer. J. Comput. Chem.; 2012; 33, pp. 580-592. [DOI: https://dx.doi.org/10.1002/jcc.22885] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22162017]
55. Schleyer, P.v.R.; Maerker, C.; Dransfeld, A.; Jiao, H.J.; Hommes, N.J.R.v.E. Nucleus-Independent Chemical Shifts: A Simple and Efficient Aromaticity Probe. J. Am. Chem. Soc.; 1996; 118, pp. 6317-6318. [DOI: https://dx.doi.org/10.1021/ja960582d] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28872872]
56. Millam, J.M.; Bakken, V.; Chen, W.; Hase, W.L.; Schlegel, H.B. Ab Initio Classical Trajectories on the Born–Oppenheimer Surface: Hessian-Based Integrators Using Fifth-Order Polynomial and Rational Function Fits. J. Chem. Phys.; 1999; 111, pp. 3800-3805. [DOI: https://dx.doi.org/10.1063/1.480037]
57. Kloda, S.; Kleinpeter, E. Ab Initio Calculation of the Anisotropy Effect of Multiple Bonds and the Ring Current Effect of Arenes—Application in Conformational and Configurational Analysis. J. Chem. Soc. Perkin Trans.; 2001; 2, pp. 1893-1898. [DOI: https://dx.doi.org/10.1039/B009809O]
58. Frisch, M.J.; Trucks, G.W.; Schlegel, H.B.; Scuseria, G.E.; Robb, M.A.; Cheeseman, J.R.; Scalmani, G.; Barone, V.; Mennucci, B.; Petersson, G.A. et al. Gaussian 16, Revision C.01; Gaussian, Inc.: Wallingford, CT, USA, 2016.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Planar tetracoordinate silicon, germanium, tin, and lead (ptSi/Ge/Sn/Pb) species are scarce and exotic. Here, we report a series of penta-atomic ptSi/Ge/Sn/Pb XB2Bi2 (X = Si, Ge, Sn, Pb) clusters with 20 valence electrons (VEs). Ternary XB2Bi2 (X = Si, Ge, Sn, Pb) clusters possess beautiful fan-shaped structures, with a Bi–B–B–Bi chain surrounding the central X core. The unbiased density functional theory (DFT) searches and high-level CCSD(T) calculations reveal that these ptSi/Ge/Sn/Pb species are the global minima on their potential energy surfaces. Born–Oppenheimer molecular dynamics (BOMD) simulations indicate that XB2Bi2 (X = Si, Ge, Sn, Pb) clusters are robust. Bonding analyses indicate that 20 VEs are perfect for the ptX XB2Bi2 (X = Si, Ge, Sn, Pb): two lone pairs of Bi atoms; one 5c–2e π, and three σ bonds (two Bi–X 2c–2e and one B–X–B 3c–2e bonds) between the ligands and X atom; three 2c–2e σ bonds and one delocalized 4c–2e π bond between the ligands. The ptSi/Ge/Sn/Pb XB2Bi2 (X = Si, Ge, Sn, Pb) clusters possess 2π/2σ double aromaticity, according to the (4n + 2) Hückel rule.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer