Next Article in Journal
Synergistic Effects between Lignin, Cellulose and Coal in the Co-Pyrolysis Process of Coal and Cotton Stalk
Previous Article in Journal
A Sustainable Green Enzymatic Method for Amide Bond Formation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Systematic Exploration of B–F Bond Dissociation Enthalpies of Fluoroborane-Type Molecules at the CCSD(T)/CBS Level

School of Science and Technology, University of New England, Armidale, NSW 2351, Australia
*
Authors to whom correspondence should be addressed.
Molecules 2023, 28(15), 5707; https://doi.org/10.3390/molecules28155707
Submission received: 27 June 2023 / Revised: 19 July 2023 / Accepted: 26 July 2023 / Published: 28 July 2023

Abstract

:
Fluoroborane-type molecules (R1R2B–F) are of interest in synthetic chemistry, but to date, apart from a handful of small species (such as H2BF, HBF2, and BF3), little is known concerning the effect of substituents in governing the strength of the B–F bonds of such species toward homolytic dissociation in the gas phase. In this study, we have calculated the bond dissociation enthalpies (BDEs) of thirty unique B–F bonds at the CCSD(T)/CBS level using the high-level W1w thermochemical protocol. The B–F bonds in all species considered are very strong, ranging from 545.9 kJ mol−1 in (H2B)2B–F to 729.2 kJ mol−1 HBF2. Nevertheless, these BDEs still vary over a wide range of 183.3 kJ mol−1. The structural properties that affect the BDEs are examined in detail, and the homolytic BDEs are rationalized based on molecule stabilization enthalpies and radical stabilization enthalpies. Since polar B–F bonds may represent a challenging test case for density functional theory (DFT) methods, we proceed to examine the performance of a wide range of DFT methods across the rungs of Jacob′s Ladder for their ability to compute B–F BDEs. We find that only a handful of DFT methods can reproduce the CCSD(T)/CBS BDEs with mean absolute deviations (MADs) below the threshold of chemical accuracy (i.e., with average deviations below 4.2 kJ mol−1). The only functionals capable of achieving this feat were (MADs given in parentheses): ωB97M-V (4.0), BMK (3.5), DSD-BLYP (3.8), and DSD-PBEB95 (1.8 kJ mol−1).

Graphical Abstract

1. Introduction

The chemistry of the boron trifluoride (BF3) and the so-called fluoroborane (R1R2BF) and difluoroborane (RBF2) derivatives are of relevance to both industrial and synthetic organic chemistry [1]. Beginning with BF3, which is perhaps the most widely studied of these compounds, a diverse range of reactions involving this molecule have been reported. From the perspective of its reaction in the gas phase, representative examples of such studies include its reaction with (i) catecholate and related anions [2], (ii) the gas phase ion chemistry of BF3/CH4 mixtures [3], and (iii) the reaction of ammonia and methylamine [4,5]. From the perspective of the reactions of BF3 in solution (where it is often used in the form of its etherate adduct), it has been shown to play a role in facilitating various polymerization reactions [6,7,8], dehydration reactions of alcohols [9,10], esterification reactions [11,12,13], alkylation reactions [14,15], as well as the synthesis of syn-fluorohydrins from epoxides [16]. It has also been reported that triplet diphenylcarbene could be inserted into the B–F bond of BF3 [17].
Turning our attention now to monofluoroboranes (i.e., of the type R1R2BF), we note that several such species have been synthesized previously. The prototypical fluoroborane, BH2F, has been detected using microwave spectroscopy [18], and using the experimental ground-state rotational constants and ab initio vibration-rotation coupling constants, an accurate geometry of H2BF has been determined [19]. In addition, by way of microwave spectroscopy, the adduct formed between the interaction of H2BF and trimethylamine has also been investigated spectroscopically [20]. A particularly well-studied monofluoroborane, which is commercially available, is dimesitylboron fluoride (Mes2BF), for which a crystal structure has been obtained [21]. This reagent has been used in, for example, the synthesis of o-carborane-substituted triarylboranes [22] and also the synthesis of a series of two-coordinate and quasi-two-coordinate transition metal complexes [23]. Another reagent that has broader potential use in synthetic chemistry is pinacolatoboron fluoride (pinBF), which was shown to be an efficient fluoride transfer agent for the diastereoselective synthesis of benzylic fluorides [24]. In addition, fluorodihydroxy borane, BF(OH)2, has also been synthesized in the gas phase [25]. We also note that numerous difluoroborane species (i.e., RBF2) have also been produced previously. The prototypical molecule HBF2 has been synthesized [26], while several alkyl-substituted difluoroboranes [27], vinyl [28], and aryl-substituted [29,30] species have also been prepared. In addition to carbon-based substituents, we also note that the synthesis of aminodifluoroborane (H2NBF2) has also been reported, and its IR [31] and microwave spectra [32] have been obtained and analyzed.
To better understand the thermodynamic stability of fluoroborane-type species, it would be insightful to have a greater understanding of the effect that substituents play in governing the strength of the B–F bonds toward homolytic cleavage (i.e., the energies associated with Equation (1)).
R1R2B–F → R1R2B + F
To date, the only reliable data that have been reported concerning the gas-phase homolytic B–F BDEs of such species are limited to the BH2F, BHF2, and BF3. The first study reporting the BDEs of these species, which was reported by Rablen and Hartwig, used the more approximate G2 and CBS-4 protocols [33]. A second and more recent study, which utilized a more robust level of theory, in particular, a layered extrapolation to the all-electron relativistic CCSD(T)/CBS level of theory (coupled-cluster with single, double, and perturbative triple excitations at the complete basis set limit), was reported by Grant and Dixon [34]. The results of this investigation provided B–F BDEs (at 0 K) for these three molecules of 703.7 (BH2F), 721.7 (HBF2), and 712.5 (BF3) kJ mol−1. By any measure, the fact that only three homolytic gas-phase B–F BDEs of fluoroborane-type molecules have been obtained using reliable thermochemical methods clearly constitutes a void regarding our knowledge of the broader extent to which substituents affect the strength of B–F bonds toward homolytic dissociation.
To address the lack of a broad survey of the effect of substituents in governing the strength of B–F bonds toward homolytic dissociation, the present study reports a set of thirty gas-phase B–F BDEs obtained using the benchmark-quality W1w thermochemical protocol [35], which constitutes a layered extrapolation to the all-electron relativistic CCSD(T)/CBS energy [36]. Furthermore, using the thirty B–F BDEs obtained using the W1w thermochemical protocol as reference values, we have also assessed the performance of a plethora of DFT methods (in conjunction with the A′VQZ basis set) for their ability to compute accurate B–F BDEs.

2. Results and Discussion

2.1. Insights Concerning the Performance of B3LYP/A′VTZ for Obtaining the Geometries of Fluoroborane-Type Molecules

We begin by making some comparisons between various geometric parameters for several fluoroborane-type molecules and fluoroboryl radicals, optimized at the B3LYP/A′VTZ level of theory, versus the corresponding values obtained previously using the more rigorous the CCSD(T)/aug-cc-pVTZ level of theory (abbreviated as CCSD(T)/aVTZ) [34]. The geometric parameters for these species obtained at these two levels of theory are provided in Table 1.
For this set of molecules, we note that there is generally good agreement between the values obtained at the B3LYP/A′VTZ level of theory and those obtained by way of higher-level CCSD(T)/aug-cc-pVTZ calculations. This finding is consistent with a recent benchmark study, in which it was noted that the B3LYP functional was found to perform well for the computation of equilibrium bond lengths when assessed against a dataset containing a diverse array of 246 different bond types (including a number of B–H, B–F, and B–C bonds), attaining a root-mean-square deviation (RMSD) of 0.0059 Å [37]. In the context of the present study, and beginning with H2BF, we note that both CCSD(T) and B3LYP afford the same value for the H–B–F angle (117.8°), while there is also good agreement between the two levels of theory concerning the B–H and B–F bond lengths, which differ by just 0.002 Å and 0.003 Å, respectively. In addition, for H2BF, it is possible to make a comparison between the theoretically determined values and those obtained via experiment [19]. In this regard, we note that the theoretically determined bond lengths are in good agreement with the experimentally reported re values of 1.1891(3) and 1.3155(2) Å for the B–H and B–F bonds, respectively. Turning our attention now to the structure of difluoroborane (HBF2), we note that the B–H and B–F bonds lengths differ by just 0.001 Å from the CCSD(T)/aug-cc-pVTZ values, while a 0.1° difference is noted in the case of both the ∠HBF and ∠FBF values. A previous microwave spectroscopy study of HBF2 [38] provided B–F and B–H bond lengths of 1.311 ± 0.005 Å and 1.189 ± 0.010 Å, respectively. In the same study, the F–B–F bond angle was also reported as 118.3 ± 1°. Concerning the fluoroboryl radical (FHB•), the CCSD(T)/aVTZ level provides r(B–H) and r(B–F) distances that are 0.002 Å and 0.004 Å longer than those obtained at the B3LYP/A′VTZ level. We also note that, although not directly comparable with the re values obtained by way of our calculations, a previous experimental study [39] reported the following geometric parameters for FHB•: r0(B–H) = 1.214(2) Å, r0(B–F) = 1.3034(5) Å, as well as an F–B–H angle of 120.7(1)°. In the case of boron trifluoride (BF3), the B–F bond length obtained at the B3LYP/A′VTZ level is only 0.001 Å longer than that obtained at the CCSD(T)/aug-cc-pVTZ level of theory. We note that the B3LYP/A′VTZ bond length (1.316 Å) differs by 0.009 Å from the experimentally reported value, re = 1.3070(1) Å, which was obtained by infrared diode laser spectroscopy [40]. Finally, in the case of the difluoroboryl radical (F2B•), the B3LYP/A′VTZ level provides a B–F bond length that is 0.002 Å shorter than that obtained at the CCSD(T)/aug-cc-pVTZ level, while there is a 0.4° difference between these two methods with respect to ∠FBF.

2.2. Benchmark-Quality B–F BDEs via the W1w Thermochemical Protocol

Prior to presenting the B–F BDEs for the thirty molecules included in the BFBDE dataset, and subsequently discussing the effect that substituents play in governing the magnitude of these quantities, it is initially worthwhile commenting on the likely reliability of the W1w thermochemical protocol in the context of computing accurate B–F BDEs (i.e., with sub-kcal/mol accuracy) [41]. As the W1w thermochemical protocol: (i) makes use of the single-reference CCSD(T) method and (ii) does not include post-CCSD(T) corrections, we sought to elucidate whether such corrections are likely to result in significant additional contributions to the B–F BDEs.
To address the validity of the use of a single-reference method such as CCSD(T) for the calculation of the energies of the molecules of the species in this set, we have employed the T1 diagnostic proposed by Lee and Taylor [42], which has been shown to be a predictor of the quality of single-reference electron correlation methods. According to their findings, a T1 diagnostic for a given molecule of ≤0.02 indicates that a single-reference method should be sufficient for describing the electronic structure of the said molecule (i.e., such species are not likely to be subject to significant degrees of non-dynamical correlation). In this light, we note that the T1 diagnostics (calculated at the CCSD/A′VTZ level of theory) for nearly all the molecules considered in this study fall within this threshold of ≤0.02. The only exceptions to this were noted in the case of (HC2)HB• and (H2P)HB•, for which we computed T1 diagnostics of 0.03.
We now turn our attention to considering the likely magnitude of any post-CCSD(T) contributions to the energies, which the W1w protocol does not consider (i.e., only going so far as the CCSD(T) level). To achieve this, we considered an energy-based diagnostic, namely the percentage of the atomization energy accounted for by parenthetically connected triple excitations, %TAE[(T)] [36,43]. This diagnostic has been shown to shed valuable insights concerning whether the inclusion of post-CCSD(T) corrections is necessary for computing reliable energies and was initially developed with regard to the computation of total atomization energies [44,45]. In particular, it has been demonstrated that for species with %TAE[(T)] ≤ 5%, post-CCSD(T) contributions are unlikely to exceed 2 kJ mol−1. The same diagnostic has also been employed previously for the purposes of validation of datasets of the BDEs for a range of other chemical bonds, including, for example, S–F [46], C–Cl [47], Al–H [48], and B–Cl bonds [49].
In the context of the molecules considered in the present study, we note that both the closed-shell parent precursor molecules, as well as the product radicals are all associated with %TAE[(T)] diagnostics that fall comfortably below the 5% threshold. In particular, (NC)2B• is associated with the largest %TAE[(T)] value of 3.8%. More broadly, we note that for approximately 92% of the species, the %TAE[(T)] diagnostics are ≤2.5%. Taking this finding into account, it would stand to reason that the inclusion of post-CCSD(T) contributions is unlikely to affect the B–F BDEs to a significant extent. Consequently, it is anticipated that the B–F BDEs reported in this study are expected to be within chemical accuracy (i.e., with deviations well below 4 kJ mol−1) from those that would be obtained at the full configuration interaction (FCI) infinite basis-set limit.
It should be noted that for three boron fluorides (BF, BHF2, and BF3), high-level TAEs at the CCSDTQ5/CBS level of theory are available in the W4-17 database [41,44,45]. For these molecules, the post-CCSD(T) contributions amount to −0.25 (BF), −0.84 (BHF2), and −1.30 (BF3) kJ mol−1.

2.3. Effect of Substituents on the Strength of B–F Bonds toward Homolytic Dissociation

We now turn our attention to the set of 30 gas-phase homolytic B–F bond dissociation energies for a diverse array of fluoroborane-type molecules. This dataset is presented in Table 2, and we report BDEs at both 0 K (BDE0) and 298 K (BDE298), as well as non-relativistic bottom-of-the-well all-electron BDEs (BDEe), which will be used later in this article for the purposes of assessing a wide range of DFT functionals for their ability to compute B–F BDEs. We have also reported the equilibrium B–F bond lengths (rB–F) for each molecule. In addition, to facilitate an analysis of any stabilizing/destabilizing effects induced by the substituents in both the reactant closed-shell precursor and the product radicals, we have tabulated two other quantities. The so-called molecule stabilization enthalpy (MSE, Equation (2)) has been employed for considering the relative stabilizing/destabilizing effect of substituents in the closed-shell precursor molecules. In the context of the product radicals (R1R2B•), a similar approach has been taken, and thus we define the so-called radical stabilization enthalpy (RSE, Equation (3)).
R1R2B–F + H2B–H → R1R2B–H + H2B–F
R1R2B–H + H2B• → R1R2B• + H2B–H
Defined in this way, a positive MSE for a given system indicates that the substituents exert a relative stabilizing effect in R1R2B–F, while a negative value would indicate the existence of a relative destabilizing effect. In the context of the product radical, a positive RSE would indicate a relative destabilizing effect of the substituents in the substituted radical (R1R2B•), while a negative value would indicate a relative stabilizing effect. This type of approach has been employed previously for examining the effect of substituents in governing the strength of, for example, S–Cl [50], S–Br [51], C–Cl [52], and N–X (X = F and Cl) bonds [53].
Prior to considering the effect of substituents in governing the magnitude of the B–F BDEs, we begin by noting that the BDEs we have obtained for H2BF, HBF2, and BF3 (at 0 K) are in generally good agreement with those reported previously by Grant and Dixon [34]. In this regard, we note that our W1w values differ by 3.8 kJ mol−1 in the case of H2BF and 2.0 kJ mol−1 (in the case of both HBF2 and BF3). Furthermore, concerning the effect of substituents in governing the B–F bond distances, we note that these differ by as much as 0.049 Å. The shortest bond lengths were noted in the case of both (F3C)BHF and (NC)2BF (1.310 Å), while the longest B–F bond was observed in the case of (H2N)(H2B)BF (1.359 Å).
Moving on to considering the broader effect of substituents in governing the B–F BDEs of the thirty molecules in the BFBDE dataset, we note that the BDEs (at 298 K) differ by up to 183.3 kJ mol−1 (Table 2). The results of our analysis clearly demonstrate that substitution with two –BH2 substituents (as in (H2B)2B–F) affords a molecule with the lowest BDE (545.9 kJ mol−1). This significant reduction appears to arise because of the combined effect of both a relative destabilizing effect in the parent fluoroborane derivative (MSE = −63.8 kJ mol−1) as well as a significant stabilizing effect in the product (H2B)2B• radical (RSE = −103.9 kJ mol−1). As noted previously in the context of B–Cl BDEs [49], an inspection of the spin densities (obtained at the B3LYP/A′VTZ level) of (H2B)2B• indicate a fair degree of delocalization of the unpaired electron onto the two substituent boron atoms (which are both associated with spin densities of 0.170). Such delocalization effects would contribute to this relatively high degree of stabilization of the product radical. In contrast, the highest B–F BDE is noted in the case of FHB–F (729.2 kJ mol−1), which is 15.7 kJ mol−1 higher in energy than that of the prototypical molecule H2B–F (BDE = 713.5 kJ mol−1). The fact that FHB–F has a higher BDE than H2B–F can be accounted for on the basis that the additional fluorine atom appears to induce a relative stabilizing effect in FHB–F (MSE = +17.1 kJ mol−1) that is of greater magnitude than that observed in the product radical (RSE = −1.4 kJ mol−1). Apart from FHB–F, we note that the second highest B–F BDE was noted in the case of BF3 (719.5 kJ mol−1).
Of the monosubstituted species (i.e., R1HB–F), we note that the presence of a single formyl substituent appears to exert the most dramatic effect in terms of lowering the B–F BDE, even more so than substitution with a single –BH2 moiety. Thus, we find that the BDE of (HCO)HB–F (585.0 kJ mol−1) is 21.5 kJ mol−1 lower than that of (H2B)HB–F (606.5 kJ mol−1). Upon inspection of the MSEs and RSEs associated with these two species, it is evident that the lower BDE of (HCO)HB–F arises, for the most part, because the product radical is subject to a greater degree of stabilizing effects than observed in the case of (H2B)HB• (RSEs = −121.3 vs. −81.8 kJ mol−1, respectively). In fact, upon inspection of the geometry of the radical arising via dissociation of the B–F bond in (HCO)HB–F, we note that it adopts a three-membered ring structure (in which r(B–O) = 1.409 Å, r(C–O) = 1.437 Å, r(C = B) = 1.421 Å, and ∠COB = 59.9° at the B3LYP/A′VTZ level) which is subject to significant delocalization of the unpaired electron. Thus, for this radical, we have obtained spin densities (at the B3LYP/A′VTZ level of theory) of 0.307 on the O atom, 0.672 on the C atom, and only 0.037 on the B atom. For the remainder of the monosubstituted fluoroborane-type species, we note that for those substituents consisting of elements belonging to the second period, the BDEs (included in parentheses and expressed in kJ mol−1) increase in the order: HC(=O) (585.0) < BH2 (606.5) < HC≡C (688.0) < CN (696.7) < NH2 (706.0) < CH3 (715.8) < OH (717.0) < CF3 (718.7) < F (729.2).
Regarding those monosubstituted species containing third-period elements, we obtain the following trends in BDEs (included in parentheses and expressed in kJ mol−1): AlH2 (637.5) < PH2 (685.2) < SiH3 (686.6) < SH (687.3) < Cl (708.3). It is of interest to note that, apart from comparing BH2 and AlH2 (where substitution by –BH2 reduces the B–F BDE by 31.0 kJ mol−1 compared with the –AlH2 substituted molecule), it can be seen that for a given group (i.e., groups 14–17), substitution by elements belonging to the third period give rise to B–F BDEs that are smaller than those obtained in the case of substituents belonging to the second period. The following BDE reductions are noted in the case of each group: 29.2 (Group 14), 20.8 (Group 15), 29.7 (Group 16), and 20.9 kJ mol−1 (Group 17). In the case of comparing the effect of substitution by an -SiH3 vs. -CH3 substituent (i.e., where the atoms directly attached to the boron belong to Group 14), we note that the lower BDE of (H3Si)HB–F can be rationalized for on the basis that: (i) whereas (H3Si)HB–F is subject to a relative destabilizing effect (MSE = −9.4 kJ mol−1), the methyl-substituted species ((H3C)HB–F) is subject to a relative stabilizing effect (MSE = +6.4 kJ mol−1), and (ii) whereas both product radicals are subject to relative stabilizing effects (i.e., the RSE values are negative), the degree of relative stabilization in the case of (H3Si)HB• is larger (with the RSE of the silyl-substituted radical being 13.4 kJ mol−1 more exothermic than that of the methyl-substituted radical). In accounting for the fact that (H2P)HB–F has a lower BDE than that of (H2N)HB–F, we note that: (i) compared with (H2N)HB–F, the phosphine-substituted precursor has a more negative MSE (−18.1 vs. −11.3 kJ mol−1, respectively), and (ii) whereas there appears to be a relative destabilizing effect in (H2N)HB• (RSE = +3.7 kJ mol−1), the phosphine substituent in (H2P)HB• appears to induce a relative stabilizing effect (RSE = −10.2 kJ mol−1). Moving to a comparison of the Group 16 substituents, we note that the lower BDE of (HS)HB–F (687.3 kJ mol−1) vs. (OH)HB–F (717.0 kJ mol−1) evidently arises because of significant differences in the effect of substituents in the precursor fluorinated reactants, rather than any effects in the product radicals, given that both radicals are associated with RSE values that differ by just 1.0 kJ mol−1. In this regard, we note that whereas the MSE of (HO)HB–F is +8.1 kJ mol−1, the MSE of (HS)HB–F is −20.6 kJ mol−1. Similarly, we find that in comparing the Group 17 substituents, the larger BDE of FHB–F (729.2 kJ mol−1) compared with ClHB–F (708.3 kJ mol−1) also appears to arise because of a greater difference in the effect of substituents in the closed-shell precursor molecules (where the MSEs differ by 18.5 kJ mol−1), rather than differences in the product radicals (where the RSEs differ by just 2.4 kJ mol−1).

2.4. Performance of DFT Methods for Computing B–F BDEs

We now shift the focus of our attention to considering how a wide range of DFT methods performs in the context of their ability to provide accurate homolytic gas-phase B–F BDEs. To perform this assessment, we have performed the calculations in conjunction with the A′VQZ basis set (and using geometries obtained at the B3LYP/A′VTZ level), as this is expected to give results close to the basis set limit for each functional. It should be pointed out that in all cases, the B–F bond is homolytically cleaved to produce a fluorine atom and boron-centered radical in their doublet ground states. We also note that spin contamination does not represent a serious problem for the considered DFT methods, as indicated by <S2> ≈ 0.75 for the radicals at hand. Furthermore, as the reference set of BDEs, we have employed the full set of thirty non-relativistic bottom-of-the-well all-electron W1w BDEs as reference values (BDEe, Table 2). The results of this analysis are provided in Table 3. For each functional, we have reported the mean absolute deviations (MADs), mean deviations (MDs), largest deviations (LDs), and the number of outliers (NOs, which constitute the number of species with an absolute deviation from the W1w reference value larger than 10 kJ mol−1).
We begin by offering a few general comments concerning the performance of the selected DFT methods for the computation of gas-phase homolytic B–F BDEs. First, the best-performing method appears to be DSD-PBEB95/A′VQZ, for which we compute an MAD of just 1.8 kJ mol−1 and an LD of 6.4 kJ mol−1. In contrast, the worst-performing method was shown to be the HGGA functional BH&HLYP, which afforded an unacceptably large MAD of 45.6 kJ mol−1 and an LD of 54.2 kJ mol−1. The poor performance of BH&HLYP in the computation of BDEs has been noted previously, for example, the computation of Al–H [48], B–Cl [49], and N–X (X = F, Cl, and Br) bonds [54,55]. Second, in all but four cases, it is evident that the functionals considered in this study tend to underestimate the BDEs (i.e., the MD values adopt negative values in most cases). Third, for the majority of functionals, the most problematic BDE to compute appears to be that of (NC)2B–F (molecule 10), with approximately two-thirds of the functionals appearing to struggle with the computation of this bond dissociation energy. Prior to discussing the specific performance of the various functionals within each rung of Jacob’s Ladder (i.e., GGA, MGGA, HGGA, HMGGA, and DHDFT), Figure 1 provides a graphical representation of the MADs of the three best-performing functionals in each rung of Jacob′s Ladder.
Of the GGA functionals, we note that the MADs differ by up to 27.4 kJ mol−1, with revPBE offering the worst performance (MAD = 36.9 kJ mol−1 and LD = 54.6 kJ mol−1), while the best performing was PBE, with an MAD of 9.5 kJ mol−1, an LD of 26.4 kJ mol−1, and with 13 of the thirty BDEs having deviations from the W1w reference values ≥ 10 kJ mol−1. For all the GGA functionals, the most challenging molecule for which to calculate the BDE was (NC)2B–F (molecule 10).
We now turn our attention to the performance of the MGGA functionals (for which we have considered the performance of seven such methods), in which the kinetic energy density is included. The best-performing MGGA functionals are MN12-L and t-HCTH, with MADs of 12.9 and 13.0 kJ mol−1, respectively. The worst performing MGGAs for the computation of B–F BDEs were shown to be r2SCAN and TPSS, with MADs of 25.4 and 28.7 kJ mol−1, respectively. Moving on to the hybrid GGA functionals (HGGA), we find that ωB97 and N12-SX both offer the lowest MADs (4.8 kJ mol−1 for both functionals), but we note that there is a significant difference in the magnitude of the LDs for these two functionals. In particular, whereas ωB97 has an LD of 15.4 kJ mol−1 (observed for the computation of the B–F BDE of molecule 3, and which was the only BDE with a deviation ≥ 10 kJ mol−1), the LD of N12-SX is observed in the case of molecule 10 and amounts to 20.7 kJ mol−1. The BH&HLYP functional, as mentioned previously, performed the worst of any of the functionals considered in this study, with an MAD of 45.6 kJ mol−1 and an LD of 54.2 kJ mol−1. The particularly poor performance of this HGGA functional sets it apart from the others in the HGGA family. In that regard, the next worst method was shown to be B3PW91 which attained an MAD of 27.5 kJ mol−1 (admittedly still offering unacceptable performance). The popular B3LYP functional attained an MAD of 22.2 kJ mol−1, which is better than its performance for the computation of gas-phase homolytic B–Cl BDEs, where it had attained an MAD of 30.1 kJ mol−1 in conjunction with the A′VQZ basis set [49]. Finally, we note that the ωB97-X functional offered an MAD that was 5.4 kJ mol−1 lower than that obtained with the related ωB97X-D functional.
Concerning the performance of the hybrid-meta-GGAs (HMGGAs), for which we have considered the performance of eleven such functionals, we note that these methods differ by up to 30.8 kJ mol−1 in terms of the MADs. In considering the worst performing of the HMGGAs, we note that TPSSh offered particularly poor performance (MAD = 34.3 kJ mol−1) given that the second worst performing method, namely PW6B95, attained an MAD of 12.7 kJ mol−1. The best performing HMGGA functional for the computation of B–F BDEs was BMK, and we note that the MAD of this functional (3.5 kJ mol−1) is similar to its MAD for the computation of B–Cl BDEs (4.0 kJ mol−1) [49]. The range-separated ωB97M-V functional performed only slightly worse, with an MAD of 4.0 kJ mol−1 and four BDEs that were ≥10 kJ mol−1 from the W1w reference values.
Of the ten double-hybrid DFT functionals that we have considered in this study, we note that two of these give MADs from the W1w reference values that are lower than 4 kJ mol−1. The DSD-PBEB95 functional, with an MAD of 1.8 kJ mol−1 and an LD of 6.4 kJ mol−1, attained the best overall performance of any of the functionals considered in this study. The next best performing DH functional was DSD-BLYP with an MAD of 3.8 kJ mol−1 and an LD of 10.0 kJ mol−1 (molecule 10). Beyond these two better-performing DH functionals, the rest attained MADs between 6.8 kJ mol−1 (B2K-PLYP) and 25.4 kJ mol−1 (PBE0-DH).
As previous studies have shown that the inclusion of empirical dispersion corrections may improve the performance of the underlying DFT functionals for the computation of various BDEs [48,49,55], we have additionally surveyed the effect of the inclusion of the Becke–Johnson D3 dispersion correction for twelve functionals (Table 4). In addition to reporting the effect that inclusion of such corrections has on the MADs (∆MAD = MAD(DFT-D3) − MAD(DFT)), we have also looked at the effect on largest deviations (∆LD = LD(DFT-D3) − LD(DFT)). It follows that a negative ∆MAD or ∆LD value indicates that the inclusion of the D3BJ dispersion correction results in improved performance compared with that of the uncorrected functional.
The results of our analysis reveal that it is indeed the case that the inclusion of a Becke–Johnson D3 dispersion correction serves to improve the performance of all the functionals to which it has been appended for the computation of B–F BDEs. The largest performance improvement was noted in the case of revPBE, in which the MAD was reduced by 3.6 kJ mol−1 from that of the uncorrected functional (36.9 kJ mol−1), while there was a reduction in the LD by 3.8 kJ mol−1. The smallest performance enhancements in MAD were noted in the case of PW6B96 and BMK (∆MAD = −0.6 kJ mol−1), although we note that there was a larger decrease in the LD of BMK compared with that of PW6B95 (∆LD = −2.1 vs. −0.9 kJ mol−1, respectively).

3. Computational Methods

In order to obtain equilibrium geometries for all of the molecules in this study, the B3LYP/A′VTZ level of theory (where A′VnZ denotes the use of cc-pVnZ basis sets for hydrogen, aug-cc-pVnZ for first-row elements, and aug-cc-pV(n+d)Z basis sets for second-row elements) has been utilized [56,57]. To confirm that the geometry of each molecule does indeed correspond to an equilibrium structure (i.e., a minimum) on the potential energy surface, we performed harmonic vibrational frequency calculations at the same level of theory, such as to ensure the absence of any imaginary frequencies. See Table S1 of the Supplementary Materials for additional details.
We then sought to perform calculations using the benchmark-quality W1w thermochemical protocol [35], which constitutes a layered extrapolation to the all-electron relativistic CCSD(T)/basis-set-limit, based on geometries obtained at the B3LYP/A′VTZ level of theory. We note that W1w theory has been found to consistently obtain BDEs and even total atomization energies (TAEs) with sub-chemical accuracy for systems that are not dominated by a strong multireference character [35,36,41,44,45,58]. With the intention of keeping this article self-contained, we will now briefly outline the protocol employed for obtaining the W1w energies. Initially, the underlying SCF/CBS energy was obtained using a two-point extrapolation of form E(L) = E + A/L5 in conjunction with the A′VTZ and A′VQZ basis sets. Here, L is the highest angular momentum represented in the basis set, and E and E(L) are the energies calculated with the finite basis set and at the infinite basis limit, respectively. Subsequently, we added the following corrections to the underlying SCF/CBS energy: (i) a correction for single and double excitations at the CCSD level (i.e., ∆CCSD), which is obtained using a two-point extrapolation of the form E(L) = E + A/L3.22 in conjunction with the A′VTZ and A′VQZ basis sets), (ii) a correction for parenthetical triples excitations (i.e., ∆(T)), which is obtained using a two-point extrapolation of the form E(L) = E + A/L3.22 in conjunction with the A′VDZ and A′VTZ basis sets), (iii) a core-valence correction (∆CV), which is computed as the difference between the all-electron CCSD(T)/MTsmall energies (with the exception of second-row elements, in which the 1s electrons are frozen) and the corresponding frozen core calculations, and finally (iv) a scalar relativistic correction (∆Rel.), which is obtained by way of Douglass–Kroll–Hess (DKH) calculations [59,60] and is computed as the difference in energy between a frozen-core DKH-CCSD(T)/MTsmall and frozen-core CCSD(T)/MTsmall calculation. The bottom-of-the-well non-relativistic all-electron W1w energy (i.e., W1wAE,Rel.) is obtained as the sum of the SCF/CBS, ∆CCSD, ∆(T), ∆CV, and ∆Rel. components. In computing the W1w energy for fluorine atom, we have additionally included an atomic spin-orbit correction of 1.60 kJ mol−1 as taken from Ref. [35].
To obtain W1w energies at 0 K (i.e., W1w0) we added scaled ZPVE corrections, which were obtained at the B3LYP/A′VTZ level and scaled by 0.9884 (as recommended in the literature) [61] to the underlying W1wAE,Rel. energies. To obtain the enthalpies at 298 K (i.e., W1w298) we added Hvib corrections (obtained at the B3LYP/A′VTZ level of theory and scaled by 0.9987 as recommended in the literature) [61] to the W1w0 energies.
We have also sought to identify more computationally efficient methods for the computation of homolytic gas-phase B–F BDEs, given that for larger molecules, the use of thermochemical protocols such as W1w may be computationally prohibitive. In this regard, we have assessed the performance of a plethora of DFT functionals for their ability to compute gas-phase homolytic B–F BDEs (in conjunction with the A′VQZ basis set and using geometries obtained at the B3LYP/A′VTZ level of theory). To perform this assessment, we have used, as reference values, the set of 30 W1w non-relativistic bottom-of-the-well BDEs (which do not include an atomic spin-orbit correction of 1.60 kJ mol−1 for fluorine atom). The DFT exchange-correlation functionals considered in this study, ordered by their rung on Jacob’s Ladder are the generalized gradient approximation (GGA) functionals: BLYP [62,63], B97-D [64], HCTH407 [65], PBE [66], revPBE [67], PB86 [63,68], and BPW91 [63,69], the meta-GGA functionals: TPSS [70], τ-HCTH [71], VSXC [72], MN12-L [73], MN15-L [74], r2SCAN [75], and B97M-V [76]; the hybrid-GGAs: BH&HLYP [77], B3LYP [62,78,79], B3PW91 [69,78], PBE0 [80], B97-1 [81], X3LYP [82], SOGGA11-X [83], APF [84], and the range-separated functionals ωB97 [85], ωB97X [85], N12-SX [86], CAM-B3LYP [87], ωB97X-V [88]; the hybrid-meta GGAs (HMGGAs): M06 [89], M06-2X [89], M08-HX [90], MN15 [74], BMK [91], TPSSh [92], τ-HCTHh [71], PW6B95 [93], and the range-separated functionals M11 [94], and ωB97M-V [95]; and the double hybrid (DH) functionals: B2-PLYP [96], B2K-PLYP [97], B2GP-PLYP [98], mPW2-PLYP [99], DSD-PBEP86 [100,101], DSD-BLYP [102], DSD-PBEB95 [100], PBE0-DH [103], PBEQI-DH [104] and PWPB95 [105]. For twelve functionals, for which Becke–Johnson D3 dispersion corrections are available, we have also assessed the performance of the inclusion of such corrections [106]. All DFT calculations for the open-shell species have been carried out using unrestricted formalism for the reference wave functions. All calculations have been performed using the Gaussian 16 program (Revision C.01) [107] and ORCA 5.0 programs [108,109].

4. Conclusions

In the present study, we have computed the gas-phase homolytic B–F BDEs of a set of thirty fluoroborane-type molecules at the CCSD(T)/CBS level of theory using the benchmark quality W1w thermochemical protocol. Using energy-based %TAE[(T)] diagnostics, we have validated the applicability of the W1w thermochemical protocol for the computation of gas-phase B–F BDEs. In this regard, we show that all the molecules considered in the study fall below the 5% threshold as suggested in the literature (the species in this set have %TAE[(T)] values that range from 0.2% in the case of H2B• to 3.8% in the case of (CN)2B•). The structural properties that affect the BDEs are examined in detail, and the homolytic BDEs are rationalized based on molecule stabilization enthalpies (MSEs) and radical stabilization enthalpies (RSEs). The B–F BDEs of the molecules in this set differ by up to as much as 183.3 kJ mol−1, with (H2B)2BF having the lowest BDE (545.9 kJ mol−1) and HBF2 having the largest (729.2 kJ mol−1). Apart from substituents belonging to Group 13 (i.e., BH2 and AlH2), we note that for the rest (Groups 14–17), substitution with third-period elements give rise to lower B–F BDEs than those molecules containing substituents belonging to the second period. We have additionally assessed the performance of a wide range of DFT methods, in conjunction with the A′VQZ basis set, against the complete set of thirty gas-phase B–F BDEs obtained at the W1w level of theory. We find that, of all the methods examined, the double-hybrid functional DSD-PBEB95 offers the best performance, with a mean absolute deviation (MAD) of just 1.8 kJ mol−1 and the largest deviation (LD) of just 6.4 kJ mol−1. We have also shown that the inclusion of a Becke–Johnson D3 dispersion correction is advantageous, resulting in generally modest improvements in performance relative to that obtained with the uncorrected functionals. In this light, we observe improvements in MADs by amounts ranging from 0.6 kJ mol−1 (in the case of both PW6B95 and BMK) to 3.6 kJ mol−1 in the case of revPBE.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/molecules28155707/s1. Optimized geometries (in Cartesian coordinates) of all molecules investigated in this study (obtained at the B3LYP/A′VTZ level of theory) are provided in Table S1. In addition, the raw W1w energies (including the various individual energies that led to the computation of these quantities for each molecule), as well as the raw DFT energies used in assessing the performance of such methods for the computation of gas-phase B–F BDEs have been included as an Excel spreadsheet.

Author Contributions

Conceptualization, R.J.O.; Methodology, R.J.O. and A.K.; Software, A.K.; Validation, R.J.O.; Formal analysis, R.J.O.; Investigation, A.K.; Resources, A.K.; Data curation, R.J.O.; Writing—original draft, R.J.O.; Writing—review & editing, R.J.O. and A.K.; Supervision, A.K.; Project administration, A.K. All authors have read and agreed to the published version of the manuscript.

Funding

Computational time and resources were provided by the National Computational Infrastructure (NCI) National Facility; project dv9.

Data Availability Statement

Not applicable.

Acknowledgments

The authors gratefully acknowledge the generous allocation of computing time from the National Computational Infrastructure (NCI) National Facility and system administration support provided by the Faculty of Science, Agriculture, Business and Law at the University of New England to the Linux cluster of the Karton group.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Matteson, D.S. Product Subclass 5: Haloboranes. In Science of Synthesis, 6: Category 1, Organometallics; Kaufmann, D.E., Matteson, D.S., Schaumann, E., Regitz, M., Eds.; Thieme: Stuttgart, Germany, 2005. [Google Scholar] [CrossRef]
  2. Taylor, W.S.; Babcock, L.M. Gas-Phase Reactions of Catecholate and Related Anions with BF3 and SiF4. J. Am. Chem. Soc. 1995, 117, 6497–6503. [Google Scholar] [CrossRef]
  3. Pepi, F.; Tata, A.; Garzoli, S.; Rosi, M. Gas-phase ion chemistry of BF3/CH4 mixtures: Activation of methane by BF2+ ions. Chem. Phys. Lett. 2008, 461, 21–27. [Google Scholar] [CrossRef]
  4. Glicker, S.; Marcus, R.A. Rapid Gas-Phase Reactions. Amines and Boron Trifluoride. II. Pressure Dependence of Rate Constant. J. Am. Chem. Soc. 1969, 91, 7607–7610. [Google Scholar] [CrossRef]
  5. Glicker, S. Rapid gas-phase reactions. Reaction of ammonia and the methylamines with boron trifluoride. III. Pressure dependence of rate constant. J. Phys. Chem. 1973, 77, 1093–1095. [Google Scholar] [CrossRef]
  6. Evans, A.G. Polymerization of isobutene by boron trifluoride. J. Appl. Chem. 1951, 1, 240–242. [Google Scholar] [CrossRef]
  7. Miki, T.; Higashimura, T.; Okamura, S. Kinetic Studies of the Solution Polymerization of Trioxane Catalyzed by BF3•O(C2H5)2. VI. The Catalytic Mechanism of Boron Trifluoride Coordination Complexes in Ethylene Dichloride. Bull. Chem. Soc. Jpn. 1966, 39, 2480–2485. [Google Scholar] [CrossRef] [Green Version]
  8. Liu, Z.; Doll, K.M.; Holser, R.A. Boron trifluoride catalyzed ring-opening polymerization of epoxidized soybean oil in liquid carbon dioxide. Green Chem. 2009, 11, 1774–1780. [Google Scholar] [CrossRef]
  9. Mooney, E.F.; Qaseem, M.A. The cleavage of ethers, and the dehydration of alcohols, by boron trifluoride. Chem. Commun. 1967, 230–231. [Google Scholar] [CrossRef]
  10. Posner, G.H.; Shulman-Roskes, E.M.; Oh, C.H.; Carry, J.C.; Green, J.V.; Clark, A.B.; Dai, H.; Anjeh, T.E.N. BF3·OEt2 promotes fast, mild, clean and regioselective dehydration of tertiary alcohols. Tetrahedron Lett. 1991, 32, 6489–6492. [Google Scholar] [CrossRef]
  11. Lough, A.K. Use of Methanol containing Boron Trifluoride for the Esterification of Unsaturated Fatty Acids. Nature 1964, 202, 795. [Google Scholar] [CrossRef]
  12. Schaefer, J.J.; Doub, L. Boron Trifluoride Catalyzed Esterification of p-Aminosalicylic Acid. J. Am. Chem. Soc. 1949, 71, 3564. [Google Scholar] [CrossRef]
  13. Kleiman, R.; Spencer, G.F.; Earle, F.R. Boron trifluoride as catalyst to prepare methyl esters from oils containing unusual acyl groups. Lipids 1969, 4, 118–122. [Google Scholar] [CrossRef]
  14. Chen, Q.; Mollat du Jourdin, X.; Knochel, P. Transition-Metal-Free BF3-Mediated Regioselective Direct Alkylation and Arylation of Functionalized Pyridines Using Grignard or Organozinc Reagents. J. Am. Chem. Soc. 2013, 135, 4958–4961. [Google Scholar] [CrossRef]
  15. Denis Jumbam, N.D.; Maganga, Y.; Masamba, W.; Mbunye, N.I.; Mgoqi, E.; Mtwa, S. A New Alkylation of Aryl Alcohols by Boron Trifluoride Etherate. Molecules 2019, 24, 3720. [Google Scholar] [CrossRef] [Green Version]
  16. Cresswell, A.J.; Davies, S.G.; Lee, J.A.; Roberts, P.M.; Russell, A.J.; Thomson, J.E.; Tyte, M.J. β-Fluoroamphetamines via the Stereoselective Synthesis of Benzylic Fluorides. Org. Lett. 2010, 12, 2936–2939. [Google Scholar] [CrossRef]
  17. Costa, P.; Mieres-Perez, J.; Özkan, N.; Sander, W. Activation of the B−F Bond by Diphenylcarbene: A Reversible 1,2-Fluorine Migration between Boron and Carbon. Angew. Chem. Int. Ed. 2017, 56, 1760–1764. [Google Scholar] [CrossRef]
  18. Takeo, H.; Sugie, M.; Matsumura, C. Microwave Spectroscopic Detection of Fluoroborane, BH2F. J. Mol. Spectrosc. 1993, 158, 201–207. [Google Scholar] [CrossRef]
  19. Oswald, M.; Flügge, J.; Botschwina, P. The equilibrium geometry of H2BF and H2BCl. J. Mol. Struct. 1994, 320, 227–236. [Google Scholar] [CrossRef]
  20. Cassoux, P.; Kuczkowski, R.L.; Fong, G.D.; Geanagel, R.A. The microwave spectrum and structure of trimethylamine-monofluoroborane. J. Mol. Struct. 1978, 48, 25–32. [Google Scholar] [CrossRef] [Green Version]
  21. Cornet, S.M.; Dillon, K.B.; Entwistle, C.D.; Fox, M.A.; Goeta, A.E.; Goodwin, H.P.; Marder, T.B.; Thompson, A.L. Synthesis and characterisation of some new boron compounds containing the 2,4,6-(CF3)3C6H2 (fluoromes = Ar), 2,6-(CF3)2C6H3 (fluoroxyl = Ar’), or 2,4-(CF3)2C6H3 (Ar’’) ligands. Dalton Trans. 2003, 4395–4405. [Google Scholar] [CrossRef]
  22. Huh, J.O.; Kim, H.; Lee, K.M.; Lee, Y.S.; Do, Y.; Lee, M.H. o-Carborane-assisted Lewis acidity enhancement of triarylboranes. Chem. Commun. 2010, 46, 1138–1140. [Google Scholar] [CrossRef] [PubMed]
  23. Chen, H.; Bartlett, R.A.; Olmstead, M.M.; Power, P.P.; Shoner, S.C. Series of two-coordinate and quasi-two-coordinate transition-metal complexes: Synthesis, structural, and spectroscopic studies of sterically demanding borylamide ligands -NRBR′2 (R = Ph, R′ = Mes, Xyl; R = R′ = Mes), their lithium salts, Li(Et2O)2NRBR′2, and their transition-metal derivatives, M(NPhBMes2)2 (M = Cr, Co, Ni), Co(NPhBXyl2)2 and M(NMesBMes2)2 (M = Cr → Ni). J. Am. Chem. Soc. 1990, 112, 1048–1055. [Google Scholar] [CrossRef]
  24. Cresswell, A.J.; Davies, S.G.; Figuccia, A.L.A.; Fletcher, A.M.; Heijnen, D.; Lee, J.A.; Morris, M.J.; Kennett, A.M.R.; Roberts, P.M.; Thomson, J.E. Pinacolatoboron fluoride (pinBF) is an efficient fluoride transfer agent for diastereoselective synthesis of benzylic fluorides. Tetrahedron Lett. 2015, 56, 3373–3377. [Google Scholar] [CrossRef]
  25. Kawashima, Y.; Takeo, H.; Matsumura, C. Microwave spectrum of fluorodihydroxy borane, BF(OH)2. J. Mol. Spectrosc. 1979, 78, 493–505. [Google Scholar] [CrossRef]
  26. Coyle, T.D.; Cooper, J.; Ritter, J.J. Preparation and some reactions of difluoroborane. Inorg. Chem. 1968, 7, 1014–1020. [Google Scholar] [CrossRef]
  27. McCusker, P.A.; Glunz, L.J. Organoboron Compounds. I. Preparation and Properties of Some Alkyldifluoroboranes. J. Am. Chem. Soc. 1955, 77, 4253–4255. [Google Scholar] [CrossRef]
  28. Fox, M.A.; Greatrex, R.; Ormsby, D.L. Unexpected formation of new fluoroboranes from the reaction of NMe4B3H8 with BF3 and MeC≡CH: exo-2-FB4H9 and trans-MeCH=CHBF2. Chem. Commun. 2002, 2052–2053. [Google Scholar] [CrossRef]
  29. McCusker, P.A.; Makowski, H.S. Organoboron Compounds. IV. Phenyldifluoroborane and Other Aryldihalogenoboranes. J. Am. Chem. Soc. 1957, 79, 5185–5188. [Google Scholar] [CrossRef]
  30. Vedejs, E.; Chapman, R.W.; Fields, S.C.; Lin, S.; Schrimpf, M.R. Conversion of Arylboronic Acids into Potassium Aryltrifluoroborates: Convenient Precursors of Arylboron Difluoride Lewis Acids. J. Org. Chem. 1995, 60, 3020–3027. [Google Scholar] [CrossRef]
  31. Jemson, H.M.; Lewis-Bevan, W.; Gerry, M.C.L. The infrared spectrum of aminodifluoroborane, NH2BF2: Partial assignment of the fundamentals and analysis of the band near 1608 cm−1. Can. J. Chem. 2011, 66, 2088–2099. [Google Scholar] [CrossRef]
  32. Lovas, F.J.; Johnson, D.R. Reaction of BF3 with NH3: Microwave spectrum of BF2NH2. J. Chem. Phys. 1973, 59, 2347–2353. [Google Scholar] [CrossRef]
  33. Rablen, P.R.; Hartwig, J.F. Accurate Borane Sequential Bond Dissociation Energies by High-Level ab Initio Computational Methods. J. Am. Chem. Soc. 1996, 118, 4648–4653. [Google Scholar] [CrossRef]
  34. Grant, D.J.; Dixon, D.A. Heats of Formation and Bond Energies of the H(3–n)BXn Compounds for (X = F, Cl, Br, I, NH2, OH, and SH). J. Phys. Chem. A 2009, 113, 777–787. [Google Scholar] [CrossRef] [PubMed]
  35. Martin, J.M.; de Oliveira, G. Towards standard methods for benchmark quality ab initio thermochemistry—W1 and W2 theory. J. Chem. Phys. 1999, 111, 1843–1856. [Google Scholar] [CrossRef]
  36. Karton, A. A computational chemist’s guide to accurate thermochemistry for organic molecules. WIREs Comput. Mol. Sci. 2016, 6, 292–310. [Google Scholar] [CrossRef]
  37. Karton, A.; Spackman, P.R. Evaluation of density functional theory for a large and diverse set of organic and inorganic equilibrium structures. J. Comput. Chem. 2021, 42, 1590. [Google Scholar] [CrossRef]
  38. Kasuya, T.; Lafferty, W.J.; Lide, D.R. Microwave Spectrum, Structure, Boron Quadrupole Coupling Constants, and Dipole Moment of Difluoroborane. J. Chem. Phys. 1968, 48, 1–4. [Google Scholar] [CrossRef]
  39. Sunahori, F.X.; Clouthier, D.J. The electronic spectrum of the fluoroborane free radical. II. Analysis of laser-induced fluorescence and single vibronic level emission spectra. J. Chem. Phys. 2009, 130, 164310. [Google Scholar] [CrossRef]
  40. Yamamoto, S.; Kuwabara, R.; Takami, M.; Kuchitsu, K. Infrared Diode Laser Spectroscopy of the ν2 Band of BF3. J. Mol. Spectrosc. 1986, 115, 333–352. [Google Scholar] [CrossRef]
  41. Karton, A. Quantum Mechanical Thermochemical Predictions 100 years after the Schrödinger Equation. In Annual Reports in Computational Chemistry; Elsevier: Amsterdam, The Netherlands, 2022; Volume 18, pp. 123–166. [Google Scholar] [CrossRef]
  42. Lee, T.J.; Taylor, P.R. A diagnostic for determining the quality of single-reference electron correlation methods. Int. J. Quantum Chem. 1989, 36, 199–207. [Google Scholar] [CrossRef] [Green Version]
  43. Karton, A.; Rabinovich, E.; Martin, J.M.L. W4 theory for computational thermochemistry: In pursuit of confident sub-kJ/mol predictions. J. Chem. Phys. 2006, 125, 144108. [Google Scholar] [CrossRef] [Green Version]
  44. Karton, A.; Sylvetsky, N.; Martin, J.M.L. W4-17: A diverse and high-confidence dataset of atomization energies for benchmarking high-level electronic structure methods. J. Comput. Chem. 2017, 38, 2063–2075. [Google Scholar] [CrossRef]
  45. Karton, A.; Daon, S.; Martin, J.M.L. W4-11: A high-confidence benchmark dataset for computational thermochemistry derived from first-principles W4 data. Chem. Phys. Lett. 2011, 510, 165–178. [Google Scholar] [CrossRef]
  46. O’Reilly, R.J.; Balanay, M.P. A quantum chemical study of the effect of substituents in governing the strength of the S–F bonds of sulfenyl-type fluorides toward homolytic dissociation and fluorine atom transfer. Chem. Data Collect. 2019, 20, 100186. [Google Scholar] [CrossRef]
  47. Garifullina, A.; Mahboob, A.; O’Reilly, R.J. A dataset of homolytic C–Cl bond dissociation energies obtained by means of W1w theory. Chem. Data Collect. 2016, 3–4, 21–25. [Google Scholar] [CrossRef]
  48. O’Reilly, R.J.; Karton, A. Highly accurate CCSD(T) homolytic Al–H bond dissociation enthalpies—Chemical insights and performance of density functional theory. Aust. J. Chem. 2023, in press. [Google Scholar] [CrossRef]
  49. Lu, W.; O’Reilly, R.J. Homolytic B–Cl bond dissociation energies of chloroborane-type molecules. Mong. J. Chem. 2022, 23, 9–18. [Google Scholar] [CrossRef]
  50. O’Reilly, R.J.; Balanay, M. Homolytic S–Cl bond dissociation enthalpies of sulfenyl chlorides—A high-level G4 thermochemical study. Chem. Data Collect. 2019, 19, 100180. [Google Scholar] [CrossRef]
  51. Zhu, S.; O’Reilly, R.J. A quantum chemical study of the gas-phase homolytic S–Br bond dissociation enthalpies of sulfenyl bromides. Chem. Data Collect. 2020, 28, 100430. [Google Scholar] [CrossRef]
  52. Kaliyeva, L.; Zhumagali, S.; Akhmetova, N.; Karton, A.; O’Reilly, R.J. Stability of the chlorinated derivatives of the DNA/RNA nucleobases, purine and pyrimidine toward radical formation via homolytic C–Cl bond dissociation. Int. J. Quantum Chem. 2017, 117, e25319. [Google Scholar] [CrossRef] [Green Version]
  53. O’Reilly, R.J.; Karton, A.; Radom, L. Effect of substituents on the strength of N–X (X = H, F, and Cl) bond dissociation energies: A high-level quantum chemical study. J. Phys. Chem. A 2011, 115, 5496–5504. [Google Scholar] [CrossRef] [PubMed]
  54. O’Reilly, R.J.; Karton, A.; Radom, L. N–H and N–Cl Homolytic Bond Dissociation Energies and Radical Stabilization Energies: An Assessment of Theoretical Procedures Through Comparison With Benchmark-Quality W2w Data. Int. J. Quantum Chem. 2012, 112, 1862–1878. [Google Scholar] [CrossRef]
  55. O’Reilly, R.J.; Karton, A. A Dataset of Highly Accurate Homolytic N–Br Bond Dissociation Energies Obtained by Means of W2 Theory. Int. J. Quantum Chem. 2016, 116, 52–60. [Google Scholar] [CrossRef]
  56. Dunning, T.H., Jr. Gaussian basis sets for use in correlated molecular calculations. I. The atoms boron through neon and hydrogen. J. Chem. Phys. 1989, 90, 1007–1023. [Google Scholar] [CrossRef] [Green Version]
  57. Wilson, A.K.; Woon, D.E.; Peterson, K.A.; Dunning, T.H., Jr. Gaussian basis sets for use in correlated molecular calculations. IX. The atoms gallium through krypton. J. Chem. Phys. 1999, 110, 7667–7676. [Google Scholar] [CrossRef] [Green Version]
  58. Karton, A.; Martin, J.M.L. Explicitly correlated Wn theory: W1-F12 and W2-F12. J. Chem. Phys. 2012, 136, 124114. [Google Scholar] [CrossRef] [Green Version]
  59. Douglas, M.; Kroll, N.M. Quantum electrodynamical corrections to the fine structure of helium. Ann. Phys. 1974, 82, 89–155. [Google Scholar] [CrossRef]
  60. Hess, B.A. Applicability of the no-pair equation with free-particle projection operators to atomic and molecular structure calculations. Phys. Rev. A 1985, 32, 756–763. [Google Scholar] [CrossRef]
  61. Merrick, J.P.; Moran, D.; Radom, L. An evaluation of harmonic vibrational frequency scale factors. J. Phys. Chem. A 2007, 111, 11683–11700. [Google Scholar] [CrossRef]
  62. Lee, C.; Yang, W.; Parr, R.G. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Phys. Rev. B 1988, 37, 785–789. [Google Scholar] [CrossRef] [Green Version]
  63. Becke, A.D. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys. Rev. A 1988, 38, 3098–3100. [Google Scholar] [CrossRef]
  64. Grimme, S. Semiempirical GGA-type density functional constructed with a long-range dispersion correction. J. Comput. Chem. 2006, 27, 1787–1799. [Google Scholar] [CrossRef]
  65. Boese, A.D.; Handy, N.C. A new parametrization of exchange–correlation generalized gradient approximation functionals. J. Chem. Phys. 2001, 114, 5497–5503. [Google Scholar] [CrossRef]
  66. Perdew, J.P.; Burke, K.; Ernzerhof, M. Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 1996, 77, 3865–3868. [Google Scholar] [CrossRef] [Green Version]
  67. Ernzerhof, M.; Perdew, J.P. Generalized gradient approximation to the angle- and system-averaged exchange hole. J. Chem. Phys. 1998, 109, 3313–3320. [Google Scholar] [CrossRef]
  68. Perdew, J.P. Density-functional approximation for the correlation energy of the inhomogeneous electron gas. Phys. Rev. B 1986, 33, 8822–8824. [Google Scholar] [CrossRef]
  69. Perdew, J.P.; Chevary, J.A.; Vosko, S.H.; Jackson, K.A.; Pederson, M.R.; Singh, D.J.; Fiolhais, C. Atoms, molecules, solids, and surfaces: Applications of the generalized gradient approximation for exchange and correlation. Phys. Rev. B 1992, 46, 6671–6687. [Google Scholar] [CrossRef]
  70. Tao, J.M.; Perdew, J.P.; Staroverov, V.N.; Scuseria, G.E. Climbing the Density Functional Ladder: Nonempirical Meta–Generalized Gradient Approximation Designed for Molecules and Solids. Phys. Rev. Lett. 2003, 91, 146401. [Google Scholar] [CrossRef] [Green Version]
  71. Boese, A.D.; Handy, N.C. New exchange-correlation density functionals: The role of the kinetic-energy density. J. Chem. Phys. 2002, 116, 9559–9569. [Google Scholar] [CrossRef]
  72. van Voorhis, T.; Scuseria, G.E. A novel form for the exchange-correlation energy functional. J. Chem. Phys. 1998, 109, 400–410. [Google Scholar] [CrossRef]
  73. Peverati, R.; Truhlar, D.G. An improved and broadly accurate local approximation to the exchange–correlation density functional: The MN12-L functional for electronic structure calculations in chemistry and physics. Phys. Chem. Chem. Phys. 2012, 10, 13171. [Google Scholar] [CrossRef] [PubMed]
  74. Yu, H.S.; He, X.; Li, S.L.; Truhlar, D.G. MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent interactions. Chem. Sci. 2016, 7, 5032–5051. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Furness, J.W.; Kaplan, A.D.; Ning, J.; Perdew, J.P.; Sun, J. Accurate and numerically efficient r2SCAN meta-generalized gradient approximation. J. Phys. Chem. Lett. 2020, 11, 8208–8215. [Google Scholar] [CrossRef] [PubMed]
  76. Mardirossian, N.; Head-Gordon, M. Mapping the genome of meta-generalized gradient approximation density functionals: The search for B97M-V. J. Chem. Phys. 2015, 142, 074111. [Google Scholar] [CrossRef] [PubMed]
  77. Becke, A.D. A new mixing of Hartree–Fock and local density-functional theories. J. Chem. Phys. 1993, 98, 1372–1377. [Google Scholar] [CrossRef]
  78. Becke, A.D. Density-functional thermochemistry. III. The role of exact exchange. J. Chem. Phys. 1993, 98, 5648–5652. [Google Scholar] [CrossRef] [Green Version]
  79. Stephens, P.J.; Devlin, F.J.; Chabalowski, C.F.; Frisch, M.J. Ab Initio Calculation of Vibrational Absorption and Circular Dichroism Spectra Using Density Functional Force Fields. J. Phys. Chem. 1994, 98, 11623–11627. [Google Scholar] [CrossRef]
  80. Adamo, C.; Barone, V. Toward reliable density functional methods without adjustable parameters: The PBE0 model. J. Chem. Phys. 1999, 110, 6158–6170. [Google Scholar] [CrossRef]
  81. Hamprecht, F.A.; Cohen, A.J.; Tozer, D.J.; Handy, N.C. Development and assessment of new exchange-correlation functionals. J. Chem. Phys. 1998, 109, 6264–6271. [Google Scholar] [CrossRef]
  82. Xu, X.; Zhang, Q.; Muller, R.P.; Goddard, W.A. An extended hybrid density functional (X3LYP) with improved descriptions of nonbond interactions and thermodynamic properties of molecular systems. J. Chem. Phys. 2005, 122, 014105. [Google Scholar] [CrossRef] [Green Version]
  83. Peverati, R.; Truhlar, D.G. A global hybrid generalized gradient approximation to the exchange-correlation functional that satisfies the second-order density-gradient constraint and has broad applicability in chemistry. J. Chem. Phys. 2011, 135, 191102. [Google Scholar] [CrossRef]
  84. Austin, A.; Petersson, G.; Frisch, M.J.; Dobek, F.J.; Scalmani, G.; Throssell, K. A Density Functional with Spherical Atom Dispersion Terms. J. Chem. Theory. Comput. 2012, 8, 4989–5007. [Google Scholar] [CrossRef]
  85. Chai, J.-D.; Head-Gordon, M. Systematic optimization of long-range corrected hybrid density functionals. J. Chem. Phys. 2008, 128, 084106. [Google Scholar] [CrossRef] [Green Version]
  86. Peverati, R.; Truhlar, D.G. Screened-exchange density functionals with broad accuracy for chemistry and solid-state physics. Phys. Chem. Chem. Phys. 2012, 14, 16187. [Google Scholar] [CrossRef]
  87. Yanai, T.; Tew, D.; Handy, N.C. A new hybrid exchange–correlation functional using the Coulomb-attenuating method (CAM-B3LYP). Chem. Phys. Lett. 2004, 393, 51–57. [Google Scholar] [CrossRef] [Green Version]
  88. Mardirossian, N.; Head-Gordon, M. ωB97X-V: A 10-parameter, range-separated hybrid, generalized gradient approximation density functional with nonlocal correlation, designed by a survival-of-the-fittest strategy. Phys. Chem. Chem. Phys. 2014, 16, 9904–9924. [Google Scholar] [CrossRef] [Green Version]
  89. 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] [CrossRef] [Green Version]
  90. Zhao, Y.; Truhlar, D.G. Exploring the Limit of Accuracy of the Global Hybrid Meta Density Functional for Main-Group Thermochemistry, Kinetics, and Noncovalent Interactions. J. Chem. Theory Comput. 2008, 4, 1849–1868. [Google Scholar] [CrossRef]
  91. Boese, A.D.; Martin, J.M.L. Development of density functionals for thermochemical kinetics. J. Chem. Phys. 2004, 121, 3405–3416. [Google Scholar] [CrossRef]
  92. Staroverov, V.N.; Scuseria, G.E.; Tao, J.; Perdew, J.P. Comparative assessment of a new nonempirical density functional: Molecules and hydrogen-bonded complexes. J. Chem. Phys. 2003, 119, 12129–12137. [Google Scholar] [CrossRef]
  93. Zhao, Y.; Truhlar, D.G. Design of Density Functionals That Are Broadly Accurate for Thermochemistry, Thermochemical Kinetics, and Nonbonded Interactions. J. Phys. Chem. A 2005, 109, 5656–5667. [Google Scholar] [CrossRef] [PubMed]
  94. Peverati, R.; Truhlar, D.G. Improving the Accuracy of Hybrid Meta-GGA Density Functionals by Range Separation. J. Phys. Chem. Lett. 2011, 2, 2810–2817. [Google Scholar] [CrossRef]
  95. Mardirossian, N.; Head-Gordon, M. ωB97M-V: A combinatorially optimized, range-separated hybrid, meta-GGA density functional with VV10 nonlocal correlation. J. Chem. Phys. 2006, 144, 214110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Grimme, S. Semiempirical hybrid density functional with perturbative second-order correlation. J. Chem. Phys. 2006, 124, 034108. [Google Scholar] [CrossRef] [Green Version]
  97. Tarnopolsky, A.; Karton, A.; Sertchook, R.; Vuzman, D.; Martin, J.M.L. Double-Hybrid Functionals for Thermochemical Kinetics. J. Phys. Chem. Lett. 2008, 112, 3–8. [Google Scholar] [CrossRef]
  98. Karton, A.; Tarnopolsky, A.; Lamere, J.F.; Schatz, G.C.; Martin, J.M.L. Highly Accurate First-Principles Benchmark Data Sets for the Parameterization and Validation of Density Functional and Other Approximate Methods. Derivation of a Robust, Generally Applicable, Double-Hybrid Functional for Thermochemistry and Thermochemical Kinetics. J. Phys. Chem. A 2008, 112, 12868–12886. [Google Scholar] [CrossRef]
  99. Schwabe, T.; Grimme, S. Towards chemical accuracy for the thermodynamics of large molecules: New hybrid density functionals including non-local correlation effects. Phys. Chem. Chem. Phys. 2006, 8, 4398. [Google Scholar] [CrossRef]
  100. Kozuch, S.; Martin, J.M.L. Spin-component-scaled double hybrids: An extensive search for the best fifth-rung functionals blending DFT and perturbation theory. J. Comput. Chem. 2013, 34, 2327–2344. [Google Scholar] [CrossRef]
  101. Kozuch, S.; Martin, J.M.L. DSD-PBEP86: In search of the best double-hybrid DFT with spin-component scaled MP2 and dispersion corrections. Phys. Chem. Chem. Phys. 2011, 13, 20104. [Google Scholar] [CrossRef]
  102. Kozuch, S.; Gruzman, D.; Martin, J.M.L. DSD-BLYP: A General Purpose Double Hybrid Density Functional Including Spin Component Scaling and Dispersion Correction. J. Phys. Chem. C 2010, 114, 20801–20808. [Google Scholar] [CrossRef]
  103. Brémond, É.; Adamo, C. Seeking for parameter-free double-hybrid functionals: The PBE0-DH model. J. Chem. Phys. 2011, 135, 024106. [Google Scholar] [CrossRef]
  104. Brémond, É.; Sancho-Garcia, J.C.; Pérez-Jiménez, Á.J.; Adamo, C. Double-hybrid functionals from adiabatic-connection: The QIDH model. J. Chem. Phys. 2014, 141, 031101. [Google Scholar] [CrossRef] [Green Version]
  105. Goerigk, L.; Grimme, S. Efficient and Accurate Double-Hybrid-Meta-GGA Density Functionals—Evaluation with the Extended GMTKN30 Database for General Man Group Thermochemistry, Kinetics, and Noncovalent Interactions. J. Chem. Theory Comput. 2011, 7, 291–309. [Google Scholar] [CrossRef]
  106. Becke, A.D.; Johnson, E.R. A density-functional model of the dispersion interaction. J. Chem. Phys. 2005, 123, 154101. [Google Scholar] [CrossRef]
  107. 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, 2009. [Google Scholar]
  108. Neese, F. The ORCA program system. WIREs Comput. Mol. Sci. 2012, 2, 73–78. [Google Scholar] [CrossRef]
  109. Neese, F.; Wennmohs, F.; Becker, U.; Riplinger, C. The ORCA quantum chemistry program package. J. Chem. Phys. 2020, 152, 224108. [Google Scholar] [CrossRef]
Figure 1. Mean absolute deviations (MADs) of the three best-performing functionals within each rung of Jacob′s Ladder (kJ mol−1).
Figure 1. Mean absolute deviations (MADs) of the three best-performing functionals within each rung of Jacob′s Ladder (kJ mol−1).
Molecules 28 05707 g001
Table 1. Comparison of Various Geometric Parameters Obtained at the B3LYP/A′VTZ Level versus those Reported Previously at the CCSD(T)/aug-cc-pVTZ Level of Theory (denoted as CCSD(T)/aVTZ) for a Set of Fluoroborane-Type Molecules and Radicals (Bond Lengths Expressed in Angstrom (Å) Units and Bond Angles in Degrees).
Table 1. Comparison of Various Geometric Parameters Obtained at the B3LYP/A′VTZ Level versus those Reported Previously at the CCSD(T)/aug-cc-pVTZ Level of Theory (denoted as CCSD(T)/aVTZ) for a Set of Fluoroborane-Type Molecules and Radicals (Bond Lengths Expressed in Angstrom (Å) Units and Bond Angles in Degrees).
MoleculeLevelr(B–H)r(B–F)∠HBF∠FBF
H2BFB3LYP/A′VTZ1.1911.322117.8
CCSD(T)/aVTZ a1.1931.325117.8
HBF2B3LYP/A′VTZ1.1851.318120.9118.1
CCSD(T)/aVTZ a1.1861.319121.0118.0
FHB•B3LYP/A′VTZ1.2011.305121.1
CCSD(T)/aVTZ a1.2031.309121.0
BF3B3LYP/A′VTZ1.316120.0
CCSD(T)/aVTZ a1.315120.0
F2B•B3LYP/A′VTZ1.310121.4
CCSD(T)/aVTZ a1.312121.0
a Values taken from Reference [34].
Table 2. Gas-Phase Homolytic B–F Bond Dissociation Enthalpies (BDEs) for Boron Fluorides (R1R2B–F), Molecule Stabilization Enthalpies (MSEs), Radical Stabilization Enthalpies (RSEs) and Equilibrium B–F Bond Lengths for All Molecules in the BFBDE Dataset (All Energies Expressed in kJ mol−1).
Table 2. Gas-Phase Homolytic B–F Bond Dissociation Enthalpies (BDEs) for Boron Fluorides (R1R2B–F), Molecule Stabilization Enthalpies (MSEs), Radical Stabilization Enthalpies (RSEs) and Equilibrium B–F Bond Lengths for All Molecules in the BFBDE Dataset (All Energies Expressed in kJ mol−1).
MoleculeR1R2BDE0BDE298BDEeMSERSErB–F (Å)
1BH2BH2542.4545.9554.6−63.8−103.91.352
2AlH2AlH2576.2578.1585.2−56.0−79.51.347
3HC(=O)H581.5585.0597.2−7.3−121.31.321
4NH2BH2594.6598.5609.1−19.5−95.61.359
5BH2H601.9606.5618.3−25.2−81.81.335
6AlH2H634.0637.5648.4−17.5−58.51.336
7SiH3SiH3652.0655.7665.3−23.4−34.41.333
8PH2PH2657.5661.5671.0−29.9−22.21.335
9SHSH668.0672.3682.2−32.8−8.41.332
10CNCN680.3684.7696.9−20.6−8.21.310
11PH2H680.7685.2697.6−18.1−10.21.328
12SiH3H682.1686.6700.1−9.4−17.51.327
13SHH682.6687.3699.7−20.6−5.61.328
14HC≡CH682.4688.0704.2−8.6−16.91.327
15ClCl691.2695.7706.0−16.4−1.41.315
16CNH691.6696.7712.0−11.3−5.51.314
17NH2H700.9706.0719.1−11.33.71.343
18NH2NH2703.2708.0720.0−14.48.91.356
19ClH703.1708.3722.0−1.4−3.81.315
20ClF705.3710.1721.1−9.25.71.315
21SiH3F706.1710.3721.419.1−22.41.325
22OHOH705.8711.0722.3−7.75.11.338
23HH707.5713.5731.00.00.01.322
24CH3H710.9715.8731.36.4−4.11.332
25CH3CH3711.8716.1729.38.7−6.11.344
26OHH711.7717.0730.68.1−4.61.337
27NH2F712.7717.6729.1−7.811.91.335
28CF3H714.2718.7733.3−3.48.51.310
29FF714.5719.5730.9−9.615.61.316
30FH723.7729.2743.817.1−1.41.318
Table 3. Performance of a Diverse Array of DFT Methods for the Computation of Gas-Phase Homolytic B–F Bond Dissociation Energies in Conjunction with the A′VQZ Basis Set (All Energies Are Expressed in kJ mol−1).
Table 3. Performance of a Diverse Array of DFT Methods for the Computation of Gas-Phase Homolytic B–F Bond Dissociation Energies in Conjunction with the A′VQZ Basis Set (All Energies Are Expressed in kJ mol−1).
Class aMethodMADMDLD cNO
GGArevPBE36.9−36.954.6 (10)30
BPW9122.5−22.540.8 (10)29
HCTH40720.4−20.440.9 (10)27
B97-D19.1−19.141.5 (10)27
BLYP19.0−19.040.6 (10)25
BP8611.7−11.330.3 (10)19
PBE9.5−7.926.4 (10)13
MGGATPSS28.7−28.743.4 (10)30
r2SCAN25.4−25.442.4 (10)30
MN15-L20.2−20.239.2 (4)30
B97M-V16.0−16.039.0 (10)23
VSXC13.8−13.837.1 (10)17
τ-HCTH13.0−12.835.1 (10)19
MN12-L12.9−12.937.0 (10)15
HGGABH&HLYP45.6−45.654.2 (10)30
B3PW9127.5−27.540.5 (10)30
APF26.8−26.838.8 (10)30
PBE026.3−26.337.6 (10)30
APF-D23.6−23.635.5 (10)30
B3LYP22.2−22.237.7 (10)30
X3LYP20.4−20.435.5 (10)30
SOGGA11-X19.0−19.027.6 (10)30
ωB97X-D b16.7−16.723.6 (10)29
B97-112.7−12.727.2 (10)20
ωB97-X b11.3−11.316.2 (10)20
CAM-B3LYP b8.5−8.516.7 (10)10
ωB97X-V b7.8−7.815.5 (3)7
N12-SX b4.8−4.220.7 (10)3
ωB97 b4.8−4.815.4 (3)1
HMGGATPSSh34.3−34.346.3 (10)30
PW6B9512.7−12.724.4 (3)19
τ-HCTHh9.1−9.026.4 (10)13
M05-2X9.0+8.414.2 (29)11
M06-2X7.3−7.115.3 (3)7
M08-HX7.3−7.312.1 (23)8
MN156.2+2.316.4 (3)5
M11 b5.8+0.418.9 (1)5
M065.0−4.518.5 (10)4
ωB97M-V b4.0−3.814.1 (4)4
BMK3.5−2.615.7 (3)2
DHDFTPBE0-DH25.4−25.432.4 (3)30
PBE-QIDH13.8−13.820.3 (10)30
mPW2-PLYP11.0−11.016.6 (10)21
B2-PLYP10.6−10.616.5 (10)17
DSD-PBEP869.3−9.313.2 (29)14
PWPB958.6−8.614.5 (3)8
B2GP-PLYP8.4−8.411.8 (29)5
B2K-PLYP6.8−6.89.9 (29)0
DSD-BLYP3.8+3.810.0 (10)0
DSD-PBEB951.8−1.16.4 (3)0
a GGA, generalized gradient approximation; MGGA, meta-GGA; HGGA, hybrid-GGA; HMGGA, hybrid-meta-GGA; DH, double hybrid). b Range separated XC functional. c The molecule giving rise to the largest deviation is included in parentheses.
Table 4. Effect of the Inclusion of the Becke–Johnson D3 Dispersion Correction on the MADs and LDs of Selected Functionals (All Energies Are Expressed in kJ mol−1).
Table 4. Effect of the Inclusion of the Becke–Johnson D3 Dispersion Correction on the MADs and LDs of Selected Functionals (All Energies Are Expressed in kJ mol−1).
ClassFunctional∆MAD a∆LD b
GGArevPBE−3.6−3.8
BLYP−2.7−3.1
BP86−1.6−2.4
PBE−1.0−1.6
MGGATPSS−1.8−2.0
HGGAB3PW91−2.3−2.6
PBE0−1.1−1.4
B3LYP−2.3−2.5
CAM-B3LYP−1.0−1.3
HMGGAPW6B95−0.6−0.9
BMK−0.6−2.1
DHB2-PLYP−1.0−1.1
a ∆MAD = MAD (DFT-D3) − MAD (DFT). b ∆LD = LD (DFT-D3) − LD (DFT).
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.

Share and Cite

MDPI and ACS Style

O’Reilly, R.J.; Karton, A. A Systematic Exploration of B–F Bond Dissociation Enthalpies of Fluoroborane-Type Molecules at the CCSD(T)/CBS Level. Molecules 2023, 28, 5707. https://doi.org/10.3390/molecules28155707

AMA Style

O’Reilly RJ, Karton A. A Systematic Exploration of B–F Bond Dissociation Enthalpies of Fluoroborane-Type Molecules at the CCSD(T)/CBS Level. Molecules. 2023; 28(15):5707. https://doi.org/10.3390/molecules28155707

Chicago/Turabian Style

O’Reilly, Robert J., and Amir Karton. 2023. "A Systematic Exploration of B–F Bond Dissociation Enthalpies of Fluoroborane-Type Molecules at the CCSD(T)/CBS Level" Molecules 28, no. 15: 5707. https://doi.org/10.3390/molecules28155707

APA Style

O’Reilly, R. J., & Karton, A. (2023). A Systematic Exploration of B–F Bond Dissociation Enthalpies of Fluoroborane-Type Molecules at the CCSD(T)/CBS Level. Molecules, 28(15), 5707. https://doi.org/10.3390/molecules28155707

Article Metrics

Back to TopTop