JOURNAL OF CHEMICAL PHYSICS VOLUME 118, NUMBER 8 22 FEBRUARY 2003 Performance of coupled cluster theory in thermochemical calculations of small halogenated compounds David Feller,a) Kirk A. Peterson,b) Wibe A. de Jong,c) and David A. Dixond) Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, MS K8-91, Richland, Washington 99352 共Received 25 September 2002; accepted 1 November 2002兲 Atomization energies at 0 K and heats of formation at 298 K were obtained for a collection of small halogenated molecules from coupled cluster theory including noniterative, quasiperturbative triple excitations calculations with large basis sets 共up through augmented septuple zeta quality in some cases兲. In order to achieve near chemical accuracy 共⫾1 kcal/mol兲 in the thermodynamic properties, we adopted a composite theoretical approach which incorporated estimated complete basis set binding energies based on frozen core coupled cluster theory energies and 共up to兲 five corrections: 共1兲 a core/valence correction; 共2兲 a Douglas–Kroll–Hess scalar relativistic correction; 共3兲 a first-order atomic spin–orbit correction; 共4兲 a second-order spin–orbit correction for heavy elements; and 共5兲 an approximate correction to account for the remaining correlation energy. The last of these corrections is based on a recently proposed approximation to full configuration interaction via a continued fraction approximant for coupled cluster theory 关CCSD共T兲-cf兴. Failure to consider corrections 共1兲 to 共4兲 can introduce errors significantly in excess of the target accuracy of ⫾1 kcal/mol. Although some cancellation of error may occur if one or more of these corrections is omitted, such a situation is by no means universal and cannot be relied upon for high accuracy. The accuracy of the Douglas–Kroll–Hess approach was calibrated against both new and previously published four-component Dirac Coulomb results at the coupled cluster level of theory. In addition, vibrational zero-point energies were computed at the coupled cluster level of theory for those polyatomic systems lacking an experimental anharmonic value. © 2003 American Institute of Physics. 关DOI: 10.1063/1.1532314兴 I. INTRODUCTION The ability to theoretically model the thermochemistry of halogenated compounds is of importance due to the scarcity of experimental information, especially for Br- and I-containing molecules. In a recent large-scale benchmark study of 17 small halogenated molecules, as well as H2 and CH4 , Lazarou et al.2,3 found the B3P86 density functional theory 共DFT兲 method4,5 共averaged over 37 basis sets兲 to be the most accurate procedure for computing bond dissociation energies. However, B3P86 displayed a systematic tendency to overbind open-shell molecules, a tendency which increased with the size of the system. By applying an empirical correction to increase the total electronic energy of openshell systems, the root-mean-squared 共rms兲 deviation with respect to experiment, rms , was reduced from 3.0 to 1.9 kcal/mol. Isolated atoms were excluded from this correction. Note that this is a second level of empirical correction, as Becke’s three-parameter exchange functional is already empirically fit to experimental thermodynamic data for small molecules. While performing very well for bond dissociation energies, B3P86 did rather poorly for heats of formation, underestimating experiment by ⬃7 kcal/mol. The parametrized Gaussian-2 model chemistry,6 B3PW91,7 and B3LYP8 proved to be the most accurate methods for heats of formation. In all, Lazarou et al.2 examined over 800 different combinations of basis sets and levels of theory. Somewhat surprisingly, Lazarou et al. found that coupled cluster theory with quasiperturbative connected Halogenated compounds constitute a diverse class of molecules that has received much attention in recent years as a result of its importance in the area of atmospheric chemistry. Photolysis by sunlight, which gives rise to free halogen atoms, is the first step in the stratospheric degradation of halogenated compounds. It is these free halogens that catalytically contribute to the destruction of atmospheric ozone. Of key interest are halocarbons that contain bromine, as bromine is several orders of magnitude more catalytically active in ozone destruction than chlorine. Sources for brominated hydrocarbons in the atmosphere include those arising from natural as well as anthropogenic processes. Examples of the former include bromoform (CHBr3 ), which is synthesized and released by various forms of marine algae and phytoplankton. Examples of the latter include small brominated compounds that are released from fire-fighting systems 共halons兲 and from fumigants 共methyl bromide, CH3 Br). To place these sources in perspective, bromoform from natural sources contributes more stratospheric bromine than all of the combined anthropogenic sources of halons and methyl bromide.1 a兲 Electronic mail: [email protected] Also at the Department of Chemistry, Washington State University. Electronic mail: [email protected] c兲 Electronic mail: [email protected] d兲 Electronic mail: [email protected] b兲 0021-9606/2003/118(8)/3510/13/$20.00 3510 © 2003 American Institute of Physics Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 triples 关CCSD共T兲兴9–11 was much less accurate than the best performing DFT methods. For example, the uncorrected B3P86 rms deviation with respect to experiment was 3.0 kcal/mol for bond dissociation energies, whereas the CCSD共T兲 error was reported to be 7.0 kcal/mol. Three basis sets were used with CCSD共T兲: 6-311⫹⫹G(2d f ,pd), LANL2DZ⫹⫹(2d f , p), and LANL2DZ⫹⫹(3d2 f ,2pd). For heats of formation, DFT with the B3LYP functional4,8 and a 3-21⫹⫹G(3d f ,2p) basis set gave a value of rms ⫽2.2 kcal/mol, whereas the errors at the CCSD共T兲 level were in the range of 4.5 to 10.6 kcal/mol, depending upon the choice of basis set. The authors noted that the poor showing of CCSD共T兲 and the related QCISD共T兲 method as compared to the DFT approaches could ‘‘be attributed to deficiencies of the basis sets employed.’’ 2 It should also be noted that increasing the size of the basis set used with B3LYP increased the size of rms to 3.5 kcal/mol. Previously, we have examined a small number of halogenated compounds in conjunction with several CCSD共T兲 studies of the G2/97 collection of molecules12,13 and have generally found this method to be capable of high accuracy.14,15 The approach adopted in these studies begins with a systematic sequence of extended basis set, frozen core CCSD共T兲共FC兲 calculations that approach the complete basis set 共CBS兲 limit. The resulting total energies are extrapolated to the CBS limit in an attempt to eliminate basis set truncation error. They are further adjusted to include core–valence correlation, molecular scalar relativistic corrections, and atomic spin–orbit corrections.16 –23 Our composite, nonparametrized approach implicitly assumes that the effects of the smaller corrections are additive to the extrapolated CBS energies which only account for valence correlation effects. Whenever possible, a further correction is applied to the total dissociation energy in order to account for the intrinsic error in CCSD共T兲. Ideally, this correction should be based on a full configuration interaction 共FCI兲 wave function using a basis set that is capable of at least semiquantitatively reflecting the true magnitude of the effect. For small systems such as H2 O and OH, the use of FCI and valence triple zeta basis sets in combination with the composite approach described above can be used to differentiate between experimental heats of formation that differ by as little as 0.5 kcal/mol.24,25 Unfortunately, the use of FCI is currently limited to small basis sets and small chemical systems. Alternatively, we have sometimes elected to use coupled cluster theory including fully iterative triple excitations 共CCSDT兲, which involves an iterative ⬃n 8 step, where n is the number of basis functions. In previous work, we have carried out CCSDT calculations on systems as large as benzene with a triple zeta basis set.21 Earlier studies of the effects of iterative triple excitations via the CCSDT method produced mixed results in terms of the level of agreement with FCI or experimental dissociation energies. On average, CCSDT produced a small improvement. This finding is consistent with a comparison of CCSD共T兲, CCSDT, and FCI total energies by He et al.,26 who reported a decrease in the error with respect to FCI, MAD⫽0.49E h 关CCSD共T兲兴 vs 0.30 E h 共CCSDT兲, for molecules without significant multiconfiguration character. However, the work of He et al. was limited to small double Thermochemical calculations 3511 zeta quality basis sets, which are likely to be too small to reflect the true effect of including iterative triples. In a study of diatomic molecules, we found that for systems with significant multiconfiguration character 共e.g., C2 and CN兲, the CCSDT method predicted changes with respect to CCSD共T兲 results which were of the opposite sign to the change predicted by FCI calculations.19 Finally, for light systems we have also computed diagonal corrections due to the Born–Oppenheimer approximation.24,25 These calculations used the formulas as implemented in MOLPRO27 by Schwenke28 at the complete active space self-consistent field level 共CASSCF兲 level of theory. Zero-point vibrational energies, ZPEs, are needed for the calculation of zero-point inclusive atomization energies, ⌺D 0 . Because the magnitude of the ZPE correction can easily be tens of kcals/mol for molecules such as those examined in this study, care must be taken so as not to introduce significant errors into the dissociation energies. ZPEs can be taken from experiment, from quartic theoretical force fields, from a combination of experimental frequencies including anharmonic corrections and calculated CCSD共T兲 harmonic frequencies, or, as a last resort, from CCSD共T兲 harmonic frequencies when no experimental data exist. In general, the composite CCSD共T兲 approach described above appears capable of achieving near chemical accuracy, i.e., ⫾1 kcal/mol with respect to experiment, in thermochemical calculations for chemical systems composed of first- and second row elements, as documented for nearly 300 compounds in the Environmental and Molecular Sciences Laboratory Computational Results Database.29 Very recent work by Dixon et al.30 on the three brominated compounds, CBr, CHBr, and CBr2 , failed to uncover any systematic error with coupled cluster theory, although the large size of the experimental error bars made it difficult to draw any definitive conclusion regarding the accuracy of CCSD共T兲. In order to determine if the CCSD共T兲 calculations of Lazarou et al.,2 which led to anomalously large errors for the heats of formation of halogenated compounds, are due, as suggested, to the relatively small size of their basis sets, it is necessary to perform calculations with basis sets that converge properly to the complete basis set limit. The purpose of the present study is to determine the intrinsic accuracy of coupled cluster theory through triple excitations for predicting atomization energies of small halogenated compounds, such as those examined by Lazarou et al.2 II. METHODS Experience has shown that, in most CCSD共T兲 calculations of atomization energies 共or heats of formation兲, the largest source of error typically arises from the finite basis set approximation. Consequently, our composite approach makes use of the systematic convergence properties of the valence correlation consistent family of basis sets containing additional diffuse functions. These basis sets are conventionally denoted aug-cc-pVnZ, n⫽D⫺7.15,31,32 Only the spherical component subset 共e.g., five-term d functions, seven-term f functions, etc.兲 of the Cartesian polarization functions were used. All CCSD共T兲 calculations were performed with Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3512 Feller et al. J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 33 and DALTON 1.234 on a single processor of an SGI Origin 2000. The largest CCSD共T兲 calculation undertaken in the present study, corresponding to C2 Cl4 in D 2h symmetry, involved 798 total basis functions and required 5.2 days of computer time. Some preliminary second-order Møller–Plesset perturbation theory geometry optimizations were run with NWCHEM35 on the 512 node IBM SP massively parallel computer in the Molecular Science Computing Facility. Optimized bond lengths and harmonic frequencies for the diatomic molecules examined in this study were obtained from a seventh degree Dunham fit of the potential energy surface.36 For polyatomic molecules, geometry optimizations were performed with a convergence threshold on the gradient of approximately 10⫺4 E h /bohr or smaller. Those optimizations, performed with GAUSSIAN 98, used the ‘‘Opt⫽tight’’ option. Explicit geometry optimization of polyatomic molecules with the large aug-cc-pV5Z basis set proved to be prohibitively expensive. Therefore, these geometries were estimated by performing an exponential extrapolation of the aug-cc-pVDZ, aug-cc-pVTZ, and aug-cc-pVQZ bond lengths. Bond angles were taken from the aug-cc-pVQZ values, which experience suggests are typically within 0.1° of the basis set limit. Of the three reported coupled cluster approaches to handling open-shell systems, we have chosen to use the completely restricted method. This method, which is conventionally labeled RCCSD共T兲,37–39 is based on restricted openshell Hartree–Fock 共ROHF兲 orbitals and retains the spin restriction throughout the coupled cluster portion of the calculation. The completely unrestricted approach is labeled UCCSD共T兲. For small systems, such as those in the present study, the difference in atomization energies between the use of RCCSD共T兲 and UCCSD共T兲 atomic asymptotes is ⬍0.8 kcal/mol. However, this difference grows with the size of the molecule, and can meet or exceed the target⫾1 kcal/mol for some of the G2/97 molecules. The largest basis set used in the present study was of valence septuple zeta quality. In keeping with the correlation consistent convention, wherein both the number of functions in each angular momentum shell and ᐉ max 共the highest angular momentum functions present in a given basis set兲 simultaneously increase as the basis set approaches completeness, the aug-cc-pV7Z basis set would be expected to contain two sets of k functions (ᐉ max⫽7). However, software limitations prevented us from explicitly including k functions in our molecular calculations. Instead, their contribution to the total energy was estimated by performing an exponential extrapolation of the incremental correlation energy contributions due to h (ᐉ⫽5) and i (ᐉ⫽6) functions. Checks on the accuracy of this method of approximating the small k function contribution were obtained from atomic calculations at the configuration interaction singles and doubles 共CISD兲 and CCSD共T兲 levels of theory using computer codes capable of explicitly handling k functions. These tests suggest that the exponential extrapolation of the correlation energy contributed by the missing k functions should be accurate to better than 10⫺4 hartree. For second row elements it is known that the presence of GAUSSIAN 98, 27 MOLPRO-2000, TABLE I. Valence basis set composition. Name Elements aug-cc-pVTZ H C, F Br H C, F Br H C, F Br H C, F H C, F Cl Cl Cl Cl I I I aug-cc-pVQZ aug-cc-pV5Z aug-cc-pV6Z aug-cc-pV7Z aug-cc-pV(T⫹d)Z aug-cc-pV(Q⫹d)Z aug-cc-pV(5⫹d)Z aug-cc-pV(6⫹d)Z aug-cc-pRVTZ/RECPa aug-cc-pRVQZ/RECPa aug-cc-pRV5Z/RECPa Contraction 关 4s,3p,2d 兴 关 5s,4p,3d,2 f 兴 关 7s,6p,4d,2 f 兴 关 5s,4p,3d,2 f 兴 关 6s,5p,4d,3f ,2g 兴 关 8s,7p,5d,3f ,2g 兴 关 6s,5p,4d,3f ,2g 兴 关 7s,6p,5d,4f ,3g,2h 兴 关 9s,8p,6d,4f ,3g,2h 兴 关 7s,6p,5d,4f ,3g,2h 兴 关 8s,7p,6d,5f ,4g,3h,2i 兴 关 8s,7p,6d,5f ,4g,3h,2i 兴 关 9s,8p,7d,6f ,5g,4h,3i,(2k) 兴 关 6s,5p,4d,2 f 兴 关 7s,6p,5d,3f ,2g 兴 关 8s,7p,6d,4f ,3g,2h 兴 关 9s,8p,7d,5f ,4g,3h,2i 兴 关 6s,5p,4d,2 f 兴 关 7s,7p,5d,3f ,2g 兴 关 8s,8p,6d,4f ,3g,2h 兴 a The I RECP has a 28 electron core, leaving 25 electrons to be explicitly treated. tight polarization functions are important at the Hartree– Fock 共HF兲 level of theory. In recognition of this fact, the original correlation consistent basis sets40 for second row elements have been superceded by the aug-cc-pV(n⫹d)Z sequence of basis sets,41 which contain an additional tight d function. Compared with the original second row basis sets, the aug-cc-pV(n⫹d)Z sets converge to the complete basis set limit significantly more rapidly and reduce the error accompanying basis set extrapolation 共discussed below兲. Consequently, we have used the aug-cc-pV(n⫹d)Z basis sets for chlorine. The bromine valence basis sets are taken from the aug-cc-pVnZ sets of Wilson et al.42 It should be noted that these sets are intended for use with a 14-orbital frozen core, i.e. (1s,2s,2p x ,2p y ,2p z ,3s,3p x ,3p y ,3p z ,3d z2 ,3d x2⫺y2 ,3d xy , 3d xz ,3d yz ) atomic orbitals. This differs from the default in GAUSSIAN 98, which retains the 3d space as active. For iodine, we adopted preliminary versions of newly created valence basis sets designed for use with a small core relativistic effective core potential 共RECP兲.43 The RECP subsumes the (1s 2 , 2s 2 , 2 p 6 , 3s 2 , 3 p 6 , and 3d 10) orbital space into the 28-electron core set, leaving the (4s 2 , 4p 6 , 5s 2 , 4d 10, and 5p 5 ) space with 25 electrons to be handled explicitly. Of the latter, only the (5s 2 ,5p 5 ) are active in our valence correlation treatment. These polarized relativistic basis sets are denoted aug-cc-pRVnZ. 43 The contracted function composition of the valence basis sets is shown in Table I. The present basis sets are among the largest currently being used in ab initio electronic structure calculations on polyatomic molecules. Nonetheless, due to the well-known slow convergence of one-electron functions to the CBS limit, the remaining basis set truncation error remains unacceptably large if accuracy on the order of ⫾1 kcal/mol is desired. For example, raw aug-cc-pV5Z basis set atomization energies for systems the size of benzene can differ by as much as 3– 4 Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 Thermochemical calculations FIG. 1. The Ne atom incremental valence CCSD共T兲 correlation energy as a function of the basis set size. kcal/mol from the CBS limit. For small systems, such as isolated atoms, basis sets of 8-zeta quality or better are required in order to achieve convergence in the frozen core total energy to ⬃0.001 E h . This can be seen in Fig. 1 for the neon atom, where the incremental valence correlation energy is plotted as a function of the basis set size. The cc-pV8Z basis set corresponds to a 关 9s,8p,7d,6f ,5g,4h,3i,2k,1l 兴 contraction, and the k- and l functions were treated explicitly in the calculations. Fortunately, by exploiting the systematic convergence properties of the correlation consistent basis sets, it is possible to obtain reasonably accurate estimates of the CBS limit without having to resort to such extremely large basis sets that would unavoidably limit the use of our composite approach to small diatomic molecules. In previous work, we based our CBS estimates on one or more of the following formulas: a mixed exponential/Gaussian function of the form44 E 共 n 兲 ⫽E CBS⫹b * exp关 ⫺ 共 n⫺1 兲兴 ⫹c * exp关 ⫺ 共 n⫺1 兲 2 兴 , 共1兲 where n⫽2(aVDZ), 3共aVTZ兲, 4共aVQZ兲; a simple exponential function45– 47 E 共 n 兲 ⫽E CBS⫹b * exp共 ⫺cx 兲 , 共2兲 or one of three formulas that involves the reciprocal of ᐉ max48 –51 E 共 ᐉ max兲 ⫽E CBS⫹B/ 共 ᐉ max⫹0.5兲 4 , 共3a兲 3 4 E 共 ᐉ max兲 ⫽E CBS⫹B/ᐉ max ⫹C/ᐉ max , 共3b兲 3 . E 共 ᐉ max兲 ⫽E CBS⫹B/ᐉ max 共3c兲 The latter three formulas are formally to be applied to the correlation component of the total energy only, with the HF 3513 FIG. 2. CBS estimates of the frozen core total energy of the neon atom as a function of the basis sets used in the extrapolations. The largest value of ᐉ max used in the extrapolation is given on the x axis. For example, n⫽4 implies that the double through quadruple zeta basis sets were used in the exponential and mixed extrapolations, and the triple and quadruple zeta sets were used for the 1/(ᐉ max⫹0.5) 4 and 1/ᐉ max3 extrapolations. component extrapolated separately or taken from the largest basis set value. In practice, the effect on energy differences of treating the HF component separately or extrapolating the total energy is small. Other extrapolation approaches have also been proposed.52–57 Experience has shown that the ‘‘best’’ extrapolation formula varies with the level of basis set and the molecular system and there is no universally agreed upon definition of best. Equations 共1兲 and 共2兲 are based on the observed convergence pattern displayed by the double through quadruple zeta correlation consistent basis sets. In a large number of comparisons of computed and experimental atomization energies, Eq. 共1兲 was statistically slightly superior to Eq. 共3a兲 when the largest affordable basis sets were of quadruple zeta quality.14,15 Both of these expressions, in turn, were better than Eq. 共2兲, the simple exponential fit. Equations 共3a兲 to 共3c兲 and similar expressions involving 1/ᐉ max are best suited for basis sets beyond quadruple zeta, since they are motivated by the 1/Z perturbation theory work of Schwartz, who dealt with two-electron systems in the case where each angular momentum space was saturated.58 In Fig. 2, a variety of Ne ( 1 S) CBS estimates obtained from Eqs. 共1兲, 共2兲, 共3a兲, and 共3c兲 is plotted as a function of the basis sets used in the extrapolation. Although not apparent in the figure, all of the extrapolations represent a considerable improvement over the raw total energies. Equation 共3a兲 provides the best overall agreement with the CCSD共T兲R12B result of Klopper,59 especially for sextuple zeta and larger basis sets. Interestingly, the simple exponential fit which significantly underestimates the CCSD共T兲-R12B energy for small ᐉ max , gradually converges to the energies predicted by the 1/(ᐉ max⫹0.5) 4 formula 关Eq. 共3a兲兴 for ᐉ max⫽7 Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3514 J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 and 8. The spread in CBS estimates can serve as a crude measure of the uncertainty in the CBS extrapolation. Throughout the remainder of this paper we will use Eq. 共3a兲 to obtain CBS estimates of the total energy and Eq. 共2兲 for CBS estimates of bond lengths and harmonic frequencies. Additional insight into the absolute accuracy of the CBS extrapolations can be obtained from examining the results of all-electron calculations. Equation 共3a兲 yields a neon atom energy of ⫺128.9372 E h when extrapolating from cc-pV6Z and cc-pV7Z energies, compared to a CCSD共T兲-R12B value of ⫺128.9376 E h . The latter value is somewhat fortuitously in exact agreement with the latest exact nonrelativistic energy reported by Chakravorty et al.60 Because thermochemical properties such as atomization energies involve energy differences, high absolute accuracy in the total energy is not a prerequisite for obtaining good agreement with experiment. Some cancellation of error between the CBS energy estimates for a molecule and its constituent atoms can be expected. Normally, even with the use of large basis sets, it would be necessary to correct our theoretical binding energies for the undesirable effects of basis set superposition error 共BSSE兲 when attempting to achieve accurate results. To the extent that simple formulas such as Eqs. 共1兲–共3兲 provide an effective means of estimating the CBS limit, they allow us to circumvent the controversy surrounding how best to correct for BSSE. To convert vibrationless atomization energies; ⌺D e , to ⌺D 00 , and ultimately ⌬H 298 f , we require accurate molecular zero-point vibrational energy corrections, ⌬E ZPE . For this purpose, we rely on anharmonic zero-point energies obtained from experimental or theoretical sources, whenever possible. In the case of the 13 diatomics examined in this study, we used the values given by Huber and Herzberg.61 For larger systems we estimated the anharmonic zero-point energy by following the suggestion of Grev et al.62 They observed that by averaging the zero-point energies based on calculated harmonic frequencies, 0.5⌺ i , and experimental fundamentals, 0.5⌺ i , one can obtain a better approximation to the true zero-point energy than with either set of frequencies alone. In a previous study, we compared the accuracy of averaging the harmonic and fundamental frequencies for 29 molecules for which anharmonic zero-point energies were available.21 The root-mean-square errors, rms , in the ⌬E ZPE’s based on aug-cc-pVDZ, aug-cc-pVTZ, and aug-cc-VQZ harmonic frequencies are 0.23, 0.11, and 0.09 kcal/mol, respectively. Since experimental fundamentals are available for most of the polyatomic molecules in this study, we made use of this procedure in the majority of cases. Finally, in cases where experimental fundamentals have not been reported, or if there is a predominantly incomplete set of fundamentals, we rely on the best available theoretical harmonic frequencies. All theoretical normal mode frequencies in the present work were obtained at the CCSD共T兲/aug-cc-pVDZ level of theory. Most electronic structure calculations invoke the frozen core approximation, in which the energetically lower lying orbitals, e.g. (1s) in carbon or (1s,2s,2p) in chlorine, are excluded from the correlation treatment. However, in order to achieve thermochemical properties within ⫾1 kcal/mol of Feller et al. experiment it is necessary to account for both core–core 共intrashell 1s 2 in C兲 and core–valence 共intershell 1s 2 – 2s 2 2p n in C兲 correlation energy effects. Core–valence 共CV兲 calculations were carried out with new weighted core–valence basis sets, i.e., cc-pwCVnZ, or their diffuse function augmented counterpart, aug-cc-pwCVnZ. 63 Compared to the older cc-pCVnZ basis sets,64 which were optimized with respect to the difference between all-electron and valence-electron calculations, the new sets emphasize the intershell component of the CV correlation energy. This component tends to dominate molecular properties obtained from calculations where CV correlation energy contributions are included. Thus, the weighted sets show improved convergence characteristics for most spectroscopic properties. All CV calculations utilized a quadruple zeta level basis set. For Br and I, the cc-pwCVnZ basis set contains up through h functions in order to provide a consistent degree of angular correlation for the now active 3d electrons. The cc-pwCVnZ basis set for I is based on the cc-pRVQZ basis set and accompanying small core RECP. Core/valence calculations for I involve all 25 electrons outside the RECP core, i.e. (4s 2 , 4p 6 , 5s 2 , 4d 10, and 5p 5 ). Up to three adjustments to ⌺D 0 are necessary in order to account for relativistic effects in atoms and molecules. The first correction lowers the sum of the atomic energies 共decreasing ⌺D 0 ) by replacing energies that correspond to an average over the available spin multiplets with energies for the lowest multiplets. Most electronic structure codes are only capable of producing spin multiplet averaged wave functions. The atomic spin–orbit corrections, ⌬E SO , were based on the tables of Moore,65 and are as follows 共in kcal/ mol兲: 0.08 共C兲, 0.39 共F兲, 0.84 共Cl兲, 3.51 共Br兲, and 7.24 共I兲. A second relativistic correction to the atomization energy was designed to account for molecular scalar relativistic effects, ⌬E SR . In previous work, we evaluated ⌬E SR by using expectation values for the two dominant terms in the Breit– Pauli Hamiltonian, the so-called mass-velocity and oneelectron Darwin 共MVD兲 corrections from configuration interaction singles and doubles 共CISD兲 calculations. Explicitly, ⌬E SR was obtained from CISD wave functions with a VTZ basis set at the optimal CCSD共T兲/aVTZ geometry. Although the CISD共MVD兲 approach yields ⌬E SR values in good agreement 共⫾0.3 kcal/mol兲 with more accurate values for most G2/97 molecules, Bauschlicher66 has suggested that this approach can sometimes be in error by as much as 0.6 kcal/mol, an unacceptable amount in light of our target accuracy. Consequently, in the present work, we used the spin-free one-electron Douglas–Kroll–Hess 共DKH兲 Hamiltonian.67– 69 For molecules treated with the DKH approach, ⌬E SR was defined as the difference in atomization energy between the result obtained from basis sets recontracted for DKH calculations70 and the atomization energy obtained with the normal valence basis set of the same quality. DKH calculations were carried out at the CCSD共T兲/ccpVQZ and the CCSD共T兲/cc-pVQZ – DK levels of theory. A potential problem arises in computing the scalar relativistic correction for molecules in this study which contain a combination of iodine and one or more lighter elements. Attempts to combine the DKH approach with an RECP proved unsuccessful with our software. Furthermore, there is the Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 possibility of ‘‘double counting’’ the relativistic effect on iodine when applying an MVD correction to an energy which already includes some relativistic effects via the RECP. However, because the MVD and DKH operators mainly sample the core region where the pseudo-orbitals are small, it is tempting to assume that any double counting would be small. In order to determine the size of any double counting, a series of RECP and all-electron calculations was run on Br2 with configuration interaction at the singles and doubles 共CISD兲 level. The small-core RECP and all-electron DKH dissociation energies agreed to within 0.06 kcal/mol, in contrast to the nonrelativistic value, which was 0.5 kcal/mol larger. The RECP and RECP⫹MVD results differed by only 0.01 kcal/mol, indicating that any double counting was minimal. The RECP⫹MVD total energy was ⫺0.748 E h lower than the straight RECP energy, suggesting that there is a significant residual relativistic contribution from the valence electrons. Fortunately, this component seems to cancel completely between Br2 and two Br atoms. RECP and RECP ⫹MVD calculations on I2 also yielded dissociation energies within 0.01 kcal/mol of each other. A final test on the heteronuclear diatomic BrCl showed that the RECP⫹MVD value of D e was within 0.02 kcal/mol of the all-electron DKH value. Since the sign of ⌬E SR is negative, and most of the iodine-containing molecules overestimate the experimental atomization energy 共with the exception of IF兲, the inclusion of MVD contributions from other elements in the molecule would tend to improve agreement with experiment, although the effect might be small. A third relativistic correction was applied to molecules containing the heavy bromine and iodine atoms. For these molecules, second-order spin–orbit corrections were carried out by using new relativistic, small-core pseudopotentials with correlation consistent-like basis sets, denoted cc-pRVnZ, that are currently under development.43 The pseudopotentials are similar to those previously constructed by Metz et al.,71 where the accompanying basis sets have been constructed in a manner similar to the usual all-electron cc-pVnZ sets but with the pseudopotentials included at all stages. The lowest spin–orbit coupled eigenstates were obtained by diagonalizing relatively small spin–orbit matrices in a basis of pure spin 共⌳–S兲 eigenstates. In each case, the identity of the electronic states used as an expansion basis was restricted to all states 共singlets and triplets兲 that correlated in the dissociation limit to ground-state atomic products. For the dihalogens, this corresponded to 12 states 共6 singlets and 6 triplets兲, whereas for the hydrogen halides 6 states 共3 singlets and 3 triplets兲 correlating to ground-state products were used.72 Basis sets of triple-zeta quality augmented with diffuse functions were used, and the electronic states and SO matrix elements were obtained in singles-only multireference configuration interaction calculations with a full valence complete active space 共CAS兲 reference function. III. RESULTS Values of selected bond distances obtained from frozen core CCSD共T兲 calculations carried out with the largest available valence basis sets are compared with experimental Thermochemical calculations 3515 values61,73,74 in Table II. The mean absolute deviation, MAD , for the 13 diatomics, with r e values taken from the compilation of Huber and Herzberg,61 is 0.003 Å, with a maximum deviation of 0.014 Å 共for Br2 ) and a signed average error of 0.003 Å. Deviations for the polyatomic molecules are somewhat worse, although the experimental uncertainty is larger. Extrapolating to the CBS limit leads to a slight shortening of the bond lengths. For example, the raw CCSD(T)/aug-cc-pV(6⫹d)Z optimized bond length of Cl2 is 1.9907 Å compared to the estimated CBS limit of 1.9891 Å, obtained from extrapolating the aug-cc-pV(n⫹d)Z, n ⫽Q, 5 and 6 basis sets with an exponential fit. The relatively small magnitude of the CBS correction is a consequence of the large size of the underlying basis sets and the relatively rapid rate with which r e converges as a function of basis set size. Introducing core/valence correlation at the aug-ccpCVQZ 共or aug-cc-pwCVQZ兲 level produces a further shortening of the bond lengths which is typically 3 to 4 times larger than the shortening accompanying the CBS correction as compared to the largest basis set used. For example, in Cl2 the CCSD共T兲/aug-cc-pwCVQZ CV correction is ⫺0.0042 Å and the basis set extrapolation correction is ⫺0.0016 Å. Additional improvement in the level of agreement with experiment may be possible by addressing the difference between CCSD共T兲 and FCI. Conceptually, this might be accomplished in the coupled cluster realm by performing CCSD, CCSDT, and CCSDTQ calculations and extrapolating to the CC⬁limit. However, the n 10 scaling of CCSDTQ, where n is the number of basis functions, would currently preclude its use for all but the smallest systems. We have previously described a CI procedure for estimating FCI wave functions in cases where explicit FCI is intractable, but software limitations effectively restrict its use to di- and triatomics.17,75 An empirically motivated approach based on the use of a continued fraction 共cf兲 approximant E CCcf⫽ ␦1 , ␦2 /␦1 1⫺ 1⫺ ␦ 3 / ␦ 2 共4兲 where ␦ 1 ⫽ESCF , ␦ 2 ⫽ECCSD⫺ESCF , and ␦ 3 ⫽ECCSD(T) ⫺ECCSD , has been proposed for extrapolating CCSD共T兲 energies to the full CI limit. In his paper introducing the CCSD共T兲-cf approximation, Goodson76 grouped his results into two categories, characterized by whether the energies from perturbation theory converge monotonically 共class A兲 or not 共class B兲. Whether a chemical system is identified as class A or class B is determined by computing the location of the dominant singularity, z d , in the complex plane of the perturbation parameter from a fourth-order perturbation theory calculation. Class A molecules have values of z d in the positive half plane, whereas class B systems have z d in the negative half plane. For 20 class A chemical systems, the CCSD共T兲-cf energies were always closer to the FCI energy than CCSD共T兲, although sometimes the differences were small. For example, for AlH ( 1 ⌺ ⫹ ) with a cc-pVDZ basis, the differences with respect to FCI were 0.39 关CCSD共T兲兴 vs Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3516 Feller et al. J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 TABLE II. Comparison of selected theoretical CCSD共T兲 bond lengths with experiment. Molecule F2 ( 1 ⌺ ⫹ g ) Cl2 ( 1 ⌺ ⫹ g ) Br2 ( 1 ⌺ ⫹ g ) I2 ( 1 ⌺ ⫹ g ) HF ( 1 ⌺ ⫹ ) HCl ( 1 ⌺ ⫹ ) HBr ( 1 ⌺ ⫹ ) HI ( 1 ⌺ ⫹ ) ClF ( 1 ⌺ ⫹ ) BrF ( 1 ⌺ ⫹ ) IF ( 1 ⌺ ⫹ ) BrCl ( 1 ⌺ ⫹ ) ICl ( 1 ⌺ ⫹ ) CH3 F ( 1 A 1 ) CH3 Cl ( 1 A 1 ) CH3 Br ( 1 A 1 ) CH3 I ( 1 A 1 ) C2 F4 ( 1 A ⬘g ) Basis set/method aug-cc-pV6Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(6⫹d)Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pRV5Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV6Z CBS(FC)⫹CV⫹FCIc aug-cc-pV(6⫹d)Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pRV5Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(6⫹d)Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pRV5Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(5⫹d)Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(5⫹d)Z CBS(FC)⫹CV CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS共FC兲 aug-cc-pV(5⫹d)Z CBS共FC兲 aug-cc-pV5Z CBS共FC兲 aug-cc-pV5Z aug-cc-pV5Z CBS共FC兲 C2 Cl4 ( 1 A ⬘g ) aug-cc-pV5Z CBS共FC兲 r e 共Å兲 Expt. r e 共Å兲a 1.4103 1.4085 1.4112 1.9907 1.9849 1.9857 2.2945 2.2809 2.2816 2.6728 2.6465 2.6473 0.9173 0.9167 1.2761 1.2763 1.2765 1.4212 1.4155 1.4157 1.6134 1.5995 1.5998 1.6288 1.6254 1.6267 1.7598 1.7538 1.7548 1.9110 1.8980 1.8991 2.1435 2.1334 2.1343 2.3235 2.3065 2.3075 1.3848d 1.3847 1.7817e 1.7808 1.9429f 1.9425 2.1418g 1.3345h 1.3134d 1.3344h 1.3132d 1.3441h 1.7115e 1.3440h 1.7109e 1.4119 HH 1.9879 HH 2.2810 HH 2.6663 HH 0.9168 HH 1.2746 HH 1.4144 HH 1.6092 HH 1.6283 HH 1.7589 HH 1.9098 HH 2.1361 HH 2.3209 HH 1.391 JANAF 1.7810 Kuchitsu 1.9340 Kuchitsu 2.1358 Kuchitsu 1.313 JANAF 1.313 JANAF 1.327 JANAF 1.724 JANAF a HH⫽Huber and Herzberg, Ref. 61. JANAF⫽M. W. Chase Jr., Ref. 73. Kuchitsu⫽Kuchitsu, Ref. 74. Frozen core complete basis set estimate based on an exponential fit. Core/valence effects were obtained with aug-cc-pCVQZ basis set. Estimated FCI based on the continued fraction approximation applied to the largest basis set CCSD共T兲 results. c Correction for full CI effects based on explicit FCI/VTZ calculations involving 3.8⫻109 determinants. d r(CF). e r(CCl). f r(CBr). g r(CI). h r(CC). b Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 Thermochemical calculations 3517 TABLE III. Comparison of FCI and CCSD共T兲-cf estimates of FCI total energies 共a.u.兲. Errors 共⌬兲 with respect to FCI are given in mE h . Values in parentheses are estimated FCI energies taken from R. J. Cave et al., Ref. 75, D. Feller and J. A. Sordo, Ref. 77, and D. Feller 共unpublished兲. System Basis set E(FCI) E(CCSD(T)) ⌬ CCSD(T) E(CCSD(T)cf) ⌬ CCSD(T)cf H2 O 1 A 1 VDZ VDZ/VTZ VDZ VTZ VDZ VTZ VDZ VTZ VQZ VDZ VTZ VQZ VTZ VTZ VTZ VTZ VQZ ⫺76.241 802 ⫺76.317 404 ⫺75.729 821 共⫺75.785 72兲 ⫺92.494 413 共⫺92.568 89兲 ⫺109.278 340 共⫺109.373 42兲 共⫺109.405 01兲 共⫺113.056 31兲 共⫺113.156 09兲 共⫺113.188 64兲 ⫺39.078 343 ⫺39.062 394 ⫺99.620 536 ⫺128.802 533 ⫺38.419 484 ⫺76.241 164 ⫺76.317 002 ⫺75.727 818 ⫺75.782 634 ⫺92.490 858 ⫺92.566 198 ⫺109.276 478 ⫺109.373 266 ⫺109.403 405 ⫺113.054 814 ⫺113.155 578 ⫺113.187 860 ⫺39.077 586 ⫺39.061 384 ⫺99.620 216 ⫺128.802 453 ⫺38.418 640 0.64 0.40 2.00 3.09 3.56 2.69 1.86 0.15 1.61 1.50 0.51 0.78 0.76 1.01 0.32 0.08 0.84 ⫺76.241 816 ⫺76.318 137 ⫺75.732 119 ⫺75.788 258 ⫺92.492 645 ⫺92.568 979 ⫺109.277 990 ⫺109.375 763 ⫺109.406 205 ⫺113.056 066 ⫺113.157 704 ⫺113.190 262 ⫺39.078 221 ⫺39.062 270 ⫺99.620 763 ⫺128.803 094 ⫺38.419 262 ⫺0.01 ⫺0.73 ⫺2.30 ⫺2.54 1.77 ⫺0.09 0.35 ⫺2.34 ⫺1.20 0.24 ⫺1.61 ⫺1.62 0.12 0.12 ⫺0.23 ⫺0.56 0.22 C2 1 ⌺ ⫹ g CN 2 ⌺ N2 1 ⌺ ⫹ g CO 1 ⌺ ⫹ CH2 3 B 1 CH2 1 A 1 F 2P Ne 1 S CH 2 ⌸ 0.35 关CCSD共T兲-cf兴 mE h and, with the aug-cc-pVQZ basis set, the differences are 0.43 关CCSD共T兲兴 versus 0.36 关CCSD共T兲-cf兴 mE h . For class B systems the level of agreement between CCSD共T兲-cf and FCI was worse. In six out of 19 cases the CCSD共T兲-cf energy was further from FCI than CCSD共T兲. For example, for CN⫹ the E(approx.) ⫺E(FCI) differences were ⫺0.23 关CCSD共T兲兴 versus ⫺5.41 关CCSD共T兲-cf兴 mE h with the cc-pVDZ basis set. In Table III we compare the CCSD共T兲-cf approximation with 17 explicit FCI and estimated FCI energies.17,77 Without attempting to classify the molecules as A or B, the results are mixed. In ten of the cases, CCSD共T兲-cf energies are in closer agreement with the FCI energies than CCSD共T兲. Very recent work by Goodson and Zheng78 suggests that CCSD共T兲-cf provides an improved approximation to FCI, compared to CCSD共T兲, not only near r c but also as a function of bond distance. This conclusion was based on an analysis of the energies of HF, BH, and CH3 as a function of bond distance. In the present work we have investigated the effect of using CCSD共T兲-cf to estimate bond distances at the FCI limit for a subset of the molecules. In lieu of a larger body of FCI benchmarks, we can use agreement with experiment as the measure of accuracy for CCSD共T兲-cf. As expected based on other FCI results, the estimated FCI correction based on the CCSD共T兲-cf technique typically produces a slight lengthening of the diatomic bond distances 共see Table II兲. For HF, the FCI correction was based on an explicit FCI/VTZ calculation involving 3.8⫻109 determinants. In general, this bond lengthening is insufficient to compensate for the shrinkage due to CBS extrapolation and CV effects. Thus, the overall effect of the CBS⫹CV⫹est. FCI set of corrections is to reduce the frozen core bond lengths. The mean absolute deviation for the bond distances is 0.004 Å and the signed average error is ⫺0.003 Å, nearly identical to the raw frozen core results, although the latter overestimated the experimental values and the CBS⫹CV⫹est. FCI results underestimate experiment. Comparing CCSD共T兲-cf atomization energies with ex- periment is complicated by the individual uncertainties arising from the CBS extrapolation and each of the smaller energetic corrections. As discussed below, CCSD共T兲-cf improved agreement with experiment for some molecules but, in a substantial number of cases, it worsened agreement. To what extent this reflects a failure of the CCSD共T兲-cf approximation or other errors in our theoretical approach 共or in the experimental values兲 is unclear. Thus, at this point there is insufficient evidence to indicate whether properties based on energy differences, such as those associated with thermochemical properties, would be generally improved by application of the CCSD共T兲-cf approximation. In Table IV, we compare the theoretical harmonic frequencies for the 13 diatomic molecules examined in this study with the corresponding experimental values.61 Also shown are CBS⫹CV⫹est. FCI values, based on an exponential fit of the three best e values, plus core–valence and estimated FCI corrections using the CCSD共T兲-cf approximation. For those molecules not displaying monotonic convergence of the frequencies to the CBS limit 共HBr and HI兲, and which therefore precluded CBS extrapolation, the largest basis set value of e was used. Core/valence corrections were obtained from CCSD共T兲/aug-cc-pwCVQZ calculations. The mean absolute deviation is 12.3 cm⫺1 and the maximum error is 45.7 cm⫺1 共HI兲. In general, the CBS and CV corrections both tend to increase e and the FCI correction tends to decrease it, as expected from the preceding discussion of trends in bond lengths. In order to investigate the magnitudes of the errors, we also present the percent errors in Table IV. In general, the calculated values are greater than the experimental ones. The errors for the molecules HF, HCl, Cl2 , F2 , and ClF are essentially 1% or less. The molecules containing Br have a slightly larger error, on the order of up to 1.5% except for the CBS(FC)⫹CV⫹est. FCI calculation for BrCl, where the error is 1.9%. The molecules containing the I atom have the largest errors, with values up to 5%. The CBS(FC)⫹CV⫹est. FCI results for molecules containing I Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3518 Feller et al. J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 TABLE IV. Comparison of theoretical CCSD共T兲 frequencies with experiment. Molecule Basis set/Method e 共cm⫺1兲 Expt. e 共cm⫺1兲a Error 共%兲 F2 ( 1 ⌺ ⫹ g ) aug-cc-pV6Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(6⫹d)Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pRV5Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV6Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(5⫹d)Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z aV5Z⫹CV⫹est. FCIb aug-cc-pRV5Z aV5Z⫹CV⫹est. FCIb aug-cc-pV(6⫹d)Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pRV5Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV(5⫹d)Z CBS(FC)⫹CV⫹est. FCIb aug-cc-pV5Z CBS(FC)⫹CV⫹est. FCIb 927.0 911.1 562.7 563.7 327.4 330.3 220.8 225.2 4141.9 4151.8 2995.3 2997.5 2655.0 2666.0 2317.3 2354.7 789.9 784.4 678.7 678.8 627.3 634.7 447.1 451.9 393.4 391.6 916.64 ⫹1.1 ⫺0.6 ⫹0.5 ⫹0.7 ⫹0.6 ⫹1.5 ⫹2.9 ⫹5.0 ⫹0.1 ⫹0.3 ⫹0.1 ⫹0.2 ⫹0.2 ⫹0.6 ⫹0.4 ⫹2.0 ⫹0.5 ⫺0.2 ⫹1.2 ⫹1.2 ⫹2.8 ⫹4.0 ⫹0.8 ⫹1.9 ⫹2.4 ⫹1.9 Cl2 ( 1 ⌺ ⫹ g ) Br2 ( 1 ⌺ ⫹ g ) I2 ( 1 ⌺ ⫹ g ) HF ( 1 ⌺ ⫹ ) HCl ( 1 ⌺ ⫹ ) HBr ( 1 ⌺ ⫹ ) HI ( 1 ⌺ ⫹ ) ClF ( 1 ⌺ ⫹ ) BrF ( 1 ⌺ ⫹ ) IF ( 1 ⌺ ⫹ ) BrCl ( 1 ⌺ ⫹ ) ICl ( 1 ⌺ ⫹ ) 559.72 325.32 214.50 4138.32 2990.95 2648.98 2309.01 786.15 670.75 610.24 443.35 384.29 a Huber and Herzberg, Ref. 61. Frozen core complete basis set estimate with aug-cc-pCVQZ correction for core/valence effects. The estimated FCI correction is based on the CCSD共T兲-cf approximation. b generally are worse than the ones obtained at the CCSD共T兲 valence only level with the largest basis set. Comparison of the current relativistic corrections 共molecular scalar, molecular second order, and atomic SO兲 to relativistic corrections reported for previously published four-component Dirac Coulomb CCSD共T兲 calculations79– 81 shows agreement to within 0.2 kcal/mol. The errors increase slightly as one progresses down the halogen column of the periodic table. For example, the total DKH/VQZ relativistic correction for Br2 computed in this work was ⫺7.1 kcal/mol, whereas the four-component CCSD共T兲/VTZ value of Visscher and Dyall79 is somewhat smaller, at ⫺6.9 kcal/mol. However, a new CCSD共T兲 four-component calculation 共described below兲 with the larger VQZ basis set yields a relativistic correction of ⫺7.0 kcal/mol, just 0.1 kcal/mol smaller in magnitude than the DKH/VQZ value. The relativistic correction for I2 is ⫺12.5 共DKH/VTZ, this work兲 vs ⫺12.7 共4-component, CCSD共T兲/VTZ兲 kcal/mol, where the nonrelativistic result is taken from the VTZ D e of Visscher and Dyall. The fully relativistic 共four-component兲 and nonrelativistic CCSD共T兲/VQZ calculations on Br2 were done using the latest parallel version of the MOLFDIR program package.82,83 A Br2 bond distance of 2.2986 Å was used and the dissociation limit was calculated for the 2 P 3/2 ground state of the Br atom. A Gaussian distribution with an exponent of 241 301 637.1909 was used to represent the spatial extent of the nucleus in both the relativistic and nonrelativistic calculation. The speed of light 共in atomic units兲 was taken to be 137.035 989 5. Both the nonrelativistic and relativistic contracted VQZ bromine basis set for use in MOLFDIR were generated by recontracting the exponents of the nonrelativistic cc-pVQZ basis set42 with the basis set extension feature of the atomic GRASP code.84 The set of exponents for the s- and p functions is flexible and tight enough to provide a good description of the relativistically contracted s- and p orbitals as well as for the p-orbital spin–orbit splitting; hence, no tight functions needed to be added to the basis set. In the CCSD共T兲 calculations, the 4s and 4p electrons were correlated and the full virtual space was included. In Tables V and VI, the calculated atomization energies at 0 K, ⌺D 0 , and the heats of formation at 298 K, ⌬H f (298), are compared with the available experimentally derived values.61,73,85– 88 Also shown in Table V are the variations of the frozen core, estimated CBS values of ⌺D e as a function of the underlying basis sets used in the 1/ᐉ max , Eq. 共3a兲, extrapolation. This information sheds light on the relative stability of the extrapolation, allowing one to crudely gauge the degree of convergence in CBS ⌺D e . In many cases, the variation is no more than a few tenths of a kcal/ mol. The largest variations occur for CF4 and C2 F4 , where the aVTQ and aVQ5 CBS estimates differ by 1.3 and 1.8 kcal/mol, respectively. This behavior in CF4 has previously been reported.23 To put these numbers in perspective, the average change in the raw ⌺D e values that occurs when expanding the basis set from aVQZ to aV5Z is ⬃2 kcal/mol for the molecules in this study. For example, the change for Cl2 is 1.9 kcal/mol and for C2 F4 is 2.2 kcal/mol. Although Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 Thermochemical calculations 3519 TABLE V. CCSD共T兲 and experimental atomization energies. Results are given in kcal/mol. The atomic asymptotes were calculated with the RCCSD共T兲 method. Experimental values: HH⫽Huber and Herzberg, Ref. 61; JANAF⫽Chase, Ref. 73; GGBVMKY⫽Glushko et al., Ref. 85; Ferguson⫽Ferguson et al., Ref. 86; Cox⫽Cox and Pilcher, Ref. 87; DeMore⫽DeMore et al., Ref. 88. Est. CBS ⌺D e Basis Setsa Corrections Theoretical ⌺D 0 共0 K兲g Molecule aVTQ aVQ5 aV56 aV67 ⌬EZPEb ⌬ECVc ⌬ESRd ⌬ESOe F2 ( 1 ⌺ ⫹ g ) Cl2 ( 1 ⌺ ⫹ g ) Br2 ( 1 ⌺ ⫹ g ) I2 ( 1 ⌺ ⫹ g ) HF ( 1 ⌺ ⫹ ) HCl ( 1 ⌺ ⫹ ) HBr ( 1 ⌺ ⫹ ) HI ( 1 ⌺ ⫹ ) ClF ( 1 ⌺ ⫹ ) 38.6 59.4 52.4 46.8 142.0 107.4 93.7 79.6 62.8 38.6 60.0 52.6 47.0 141.6 107.7 93.7 79.5 62.8 38.6 59.8 38.6 ⫺1.3 ⫺0.8 ⫺0.5 ⫺0.3 ⫺5.9 ⫺4.3 ⫺3.8 ⫺3.3 ⫺1.1 ⫺0.1 0.2 0.4 2.0 0.2 0.7 0.6 1.7 0.1 0.0 ⫺0.2 ⫺0.5 0.0 ⫺0.2 ⫺0.3 ⫺0.6 0.0 ⫺0.2 ⫺0.8 ⫺1.7 ⫺7.0 ⫺14.4 ⫺0.4 ⫺0.8 ⫺3.5 ⫺7.2 ⫺1.2 BrF ( 1 ⌺ ⫹ ) IF ( 1 ⌺ ⫹ ) 64.2 70.4 64.0 70.2 ⫺1.0 ⫺0.9 ⫺0.2 0.2 ⫺0.6 ⫺0.1 ⫺3.9 ⫺7.6 0.3 1.7 58.6 63.5 BrCl ( 1 ⌺ ⫹ ) ICl ( 1 ⌺ ⫹ ) CH3 F ( 1 A 1 ) 56.2 56.0 422.4 56.6 56.3 422.0 ⫺0.6 ⫺0.6 ⫺24.2 0.4 0.8 1.1 ⫺0.4 ⫺0.1 ⫺0.5 ⫺4.4 ⫺8.0 ⫺0.5 0.2 1.3 51.8 49.7 397.9 CH3 Cl ( 1 A 1 ) 395.3 395.3 ⫺23.3 1.2 ⫺0.5 ⫺0.9 372.2 CH3 Br ( 1 A 1 ) CH3 I ( 1 A 1 ) CF4 ( 1 A 1 ) CCl4 ( 1 A 1 ) CH2 F ( 2 A ⬘ ) CH2 Cl ( 2 A ⬘ ) CH2 F2 ( 1 A 1 ) CH2 Cl2 ( 1 A 1 ) C2 F4 ( 1 A g⬘ ) C2 Cl4 ( 1 A g⬘ ) 383.9 372.3 479.2 315.1 313.5 288.1 437.7 371.1 589.0 471.0 383.8 ⫺22.8 ⫺22.4 ⫺10.9 ⫺6.0 ⫺15.6 ⫺14.2 ⫺20.4 ⫺18.4 ⫺13.4 ⫺9.6 1.6 3.7 1.0 1.4 1.0 1.1 1.0 1.2 2.5 2.7 ⫺0.8 ⫺0.9 ⫺0.9 ⫺0.6 ⫺0.4 ⫺0.5 ⫺0.6 ⫺0.6 ⫺1.1 ⫺1.1 ⫺3.6 ⫺7.3 ⫺1.6 ⫺3.4 ⫺0.5 ⫺0.9 ⫺0.9 ⫺1.8 ⫺1.7 ⫺3.5 358.2 345.4 465.5 307.2 297.6 273.6 416.1 351.3 573.5 459.9 477.9 315.8 313.1 288.1 437.0 371.3 587.2 471.4 141.6 107.5 62.9 141.6 ⌬ESOf 0.4 2.0 0.1 0.5 36.4 57.3 45.4 36.3 135.3 102.8 86.5 71.2 60.5 Experimental ⌺D 0 共0 K兲 36.9⫾0.1 JANAF 57.18⫾0.01 JANAF 45.44⫾0.03 JANAF 35.57⫾0.02 JANAF 135.2⫾0.2 JANAF 102.23⫾0.05 JANAF 86.64⫾0.04 JANAF 70.42⫾0.05 JANAF 60.4⫾0.07 HH 59.1⫾0.1 JANAF 58.8⫾0.4 JANAF 65.3⫾0.9 JANAF 66.4 HH 51.5⫾0.3 JANAF 49.64⫾0.03 JANAF 397.4⫾7.9 JANAF 397⫾1 DeMore 371.6⫾0.5 JANAF 371.0 GGBVMKY 357.6⫾0.2 Ferguson 344.8⫾0.3 Cox 465.5⫾0.3 JANAF 307.3⫾0.5 JANAF 298.9⫾2.0 DeMore 272.2⫾1.0 DeMore 416.1⫾0.4 JANAF 351.6⫾0.3 JANAF 570.4⫾0.7 JANAF 457.1⫾0.7 JANAF Extrapolated by using E(ᐉ max)⫽ECBS⫹b/(ᐉ max⫹0.5) 4 . The basis set designations refer to the two basis sets that were used in performing the extrapolation. For example, aVTQ means that the aug-cc-pVTZ and aug-cc-pVQZ basis set molecular and atomic energies were extrapolated to obtain a CBS value of ⌺D e . b The zero-point energies are taken from the following sources: 共1兲 for diatomics, the anharmonic ZPEs were taken from Huber and Herberg, Ref. 61, and computed as 0.5 e ⫺0.25 e xe ; 共2兲 for polyatomics, the anharmonic ZPEs were taken as the average of the zero-point energies based on the experimental fundamental and the CCSD共T兲 harmonics. If a complete set of experimental frequencies was not available, as was the case for the halomethyl radicals (CH2 F and CH2 Cl), the zero-point energy is based simply on the harmonic CCSD共T兲 frequencies. c Core/valence corrections were obtained with the cc-pCVQZ 共C and F兲 and cc-pwCVQZ 共for Cl, Br, and I兲 basis sets at the optimized CCSD共T兲/aug-cc-pVTZ geometries. d For those molecules that do not contain iodine, the scalar relativistic correction is based on DK-CCSD共T兲共FC兲/cc-pVQZ calculations evaluated at the CCSD共T兲共FC兲/aug-cc-pVQZ geometry. For the molecules containing iodine, the scalar relativistic correction is based on a CISD共FC兲/cc-pRVQZ-cc-pVQZ MVD calculation and is expressed relative to the CISD result without the MVD correction, i.e., including the existing relativistic effects resulting from the use of a relativistic effective core potential. e Correction due to the incorrect treatment of the atomic asymptotes as an average of spin multiplets. Values are based on Moore’s Tables, Ref. 65. f Second-order molecular spin–orbit effects obtained with an aRVTZ basis set and a relativistic ECP. g The theoretical value of ⌺D 0 共0 K兲 was computed with the best available CBS estimate. a the change in CBS ⌺D e for C2 F4 is in the direction of improving agreement with experiment, it is unlikely that a CBS extrapolation based on an aug-cc-pV6Z energy would reconcile the large remaining difference between theory and experiment. With our present hardware and software, it is not possible to answer this question definitively, since a CCSD共T兲/aug-cc-pV6Z calculation with 1134 basis functions is prohibitively expensive. Among the energetic corrections to ⌺D 0 listed in Table V, the atomic spin–orbit corrections dominate for the diatomics, whereas zero-point vibrational energies are clearly the largest correction for the polyatomic species. The importance of the latter can be seen in molecules like CH3 F (⌬E ZPE⫽⫺24.2 kcal/mol) and CH3 Cl, (⌬E ZPE⫽⫺23.3 kcal/mol), where this correction is more than an order of magnitude larger than the other corrections. Uncertainty in ⌬E ZPE can easily be the largest source of error in the theoretical atomization energy, thus underlining the general need for the development of new methods that will allow us to accurately determine ZPEs for polyatomic species. The inclusion of the CCSD共T兲-cf estimate for the FCI correction to CCSD共T兲 uniformly increased the atomization energies, improving agreement with experiment for some and worsening it for others. Among the diatomics, the magnitude of this correction ranges from as little as 0.003 kcal/ mol 共HCl兲 to as much as 0.80 kcal/mol (F2 ). Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3520 TABLE VI. CCSD共T兲 and experimental heats of formation at 298 K 共kcal/ mol兲. Theory Experimenta F2 ( 1 ⌺ ⫹ g ) Cl2 ( 1 ⌺ ⫹ g ) Br2 ( 1 ⌺ ⫹ g ) I2 ( 1 ⌺ ⫹ g ) HF ( 1 ⌺ ⫹ ) HCl ( 1 ⌺ ⫹ ) HBr ( 1 ⌺ ⫹ ) HI ( 1 ⌺ ⫹ ) ClF ( 1 ⌺ ⫹ ) ⫺0.5 ⫺0.1 7.4 14.2 ⫺65.2 ⫺22.6 ⫺8.6 5.5 ⫺13.4 BrF ( 1 ⌺ ⫹ ) IF ( 1 ⌺ ⫹ ) ⫺13.8 ⫺20.9 BrCl ( 1 ⌺ ⫹ ) ICl ( 1 ⌺ ⫹ ) CH3 F ( 1 A 1 ) 3.2 4.1 ⫺56.5 CH3 Cl ( 1 A 1 ) ⫺20.6 CH2 Br ( 1 A 1 ) CH3 I ( 1 A 1 ) CF4 ( 1 A 1 ) CCl4 ( 1 A 1 ) CH2 F ( 2 A ⬘ ) CH2 Cl ( 2 A ⬘ ) CH2 F2 ( 1 A 1 ) CH2 Cl2 ( 1 A 1 ) C2 F4 ( 1 A ⬘g ) C2 Cl4 ( 1 A g⬘ ) ⫺8.8 2.8 ⫺223.0 ⫺22.3 ⫺6.7 27.6 ⫺107.7 ⫺22.4 ⫺160.5 ⫺5.7 0.0 0.0 7.39⫾0.03 14.92⫾0.02 ⫺65.1⫾0.2 ⫺22.06⫾0.05 ⫺8.71⫾0.04 6.30⫾0.05 ⫺13.3⫾0.1 ⫺12.0⫾0.1 ⫺14.0⫾0.4 ⫺22.7⫾0.9 ⫺24.1 3.5⫾0.3 4.18⫾0.03 ⫺56⫾7 ⫺56⫾1 ⫺20.0⫾0.5 ⫺19.4 ⫺8.2⫾0.2 3.4⫾0.3 ⫺223.0⫾0.3 ⫺22.4⫾0.5 ⫺8.0⫾2.0 29.0⫾1.0 ⫺107.7⫾0.4 ⫺22.8⫾0.3 ⫺157.4⫾0.7 ⫺3.0⫾0.7 Molecule a Feller et al. J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 Experimental references are given in Table V. The mean absolute deviation with respect to experiment for the atomization energies shown in Table V is 0.8 kcal/ mol, roughly equivalent to the value obtained for the much larger collection of molecules taken from the G2/97 benchmark set.15 Errors exceeding 2 kcal/mol were found in only two molecules (C2 F4 and C2 Cl4 ), of which one (C2 F4 ) has an experimental value that has previously been questioned. In contrast to the present results, Lazarou et al.2 reported CCSD共T兲 mean absolute deviations for heats of formation in the range of 4 to 10 kcal/mol, depending on the choice of basis set. In subsequent work, Lazarou et al.3 used the infinite basis set extrapolation technique of Truhlar and co-workers,57,89 in conjunction with double and triple zeta basis sets and an empirical correction to account for errors in the extrapolation, to obtain a root-mean-square deviation of 1.4 kcal/mol for 57 molecules. Although, in general, the errors for the dissociation energies of the 13 diatomic molecules are small, for IF ( 1 ⌺ ⫹ ) the error is ⫺1.8 kcal/mol. On the basis of their study of halogenated compounds, Lazarou et al.2 have previously questioned the accuracy of the experimental value for IF. We raise the same question and propose that the heat of formation of IF be revised to a less negative value of ⫺20.9 ⫾1.0 kcal/mol. We note that IF is difficult to work with experimentally and that the IF heat of formation is based on a spectral observation of the dissociation limit.72 There are questions about the value originally assigned to the dissocia- tion energy.72 This suggests that the experimental value may have larger error bars than are currently employed. We and others have suggested that there is an error in the experimental heat of formation of C2 F4 based on high level computational results.23,90,91 In all cases, the heat of formation is predicted to be more negative than the currently accepted experimental value. The present theoretical value of ⫺160.5 kcal/mol for ⌬H 298 f (C2 F4 ) is consistent with the previously calculated values of ⫺160.6 kcal/mol from Dixon et al.23 and ⫺160.5 kcal/mol from Bauschlicher and Ricca.91 Again, we would recommend using the more negative calculated value for ⌬H f (C2 F4 ). For C2 Cl4 , which has a similar valence electronic structure to that of C2 F4 , the calculated heat of formation is too negative as compared to the experimental result. This was also the case for C2 F4 . Based on the C2 F4 result, it may also be appropriate to revise the heat of formation of C2 Cl4 to be more negative in agreement with the theoretical value. In addition, we note that if there is a problem in the calculation of the heats of formation of C2 F4 and C2 Cl4 , it must be in the interaction of the halogen atoms with the double bond, since we can calculate the heat of formation of C2 H4 to within a few tenths of a kcal/mol.21 The current calculated value for the heat of formation of CH3 F is consistent with previous isodesmic reaction calculations92 on fluorinated methanes, as well as with the NASA value of ⫺56⫾1 kcal/mol. 88 We suggest that the NASA error bars for ⌬H 298 f (CH3 F) of ⫾1.0 kcal/mol are realistic and should be used in the future. The heats of formation of the radicals CH2 F 共⫺6.7 kcal/ mol兲 and CH2 Cl 共27.6 kcal/mol兲 are consistent with previously calculated values of ⫺6.8⫾1.3 kcal/mol and 29.4 ⫾0.8 kcal/mol, respectively, based on MP2 calculations and isodesmic reactions.93 The previous calculated value for CH2 Cl is closer to the experimental value (29.0 ⫾1.0 kcal/mol) than to the current calculated value. The current calculations are reliable enough that we suggest revising the heats of formation at 298 K of CH2 F and CH2 Cl to ⫺6.7⫾1.0 and 27.6⫾1.0 kcal/mol, respectively. The predicted value for ⌬H 298 f (CH3 I) is 0.6 kcal/mol below the experimental value, which is similar to the error for HI, where the predicted value is 0.8 kcal/mol below the experiment. This is consistent with the similarity in bonding for HI and CH3 I. IV. CONCLUSION A composite CCSD共T兲-based approach was used to compute geometries, normal mode frequencies, atomization energies, and heats of formation for a collection of 25 small halogenated compounds in an effort to determine if this class of molecules presented systematic problems to our theoretical approach. Basically, this approach involves extrapolating the results of large basis set, frozen core CCSD共T兲 calculations to the complete basis set limit, followed by inclusion of a number of smaller energetic corrections. For the molecules examined in the present study, the mean absolute deviation with respect to experiment for heats of formation was 0.8 kcal/mol. This value is very similar to the mean absolute Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 deviation of ⬃1 kcal/mol accuracy found for a large number of molecules with reliable experimental heats of formation. Thus, in combination with the results of previous studies, the present results on halogenated compounds provide further evidence that our approach is generally capable of predicting thermochemical properties to chemical accuracy for a wide range of molecular systems. Errors with respect to experiment greater than 2 kcal/mol were found for only two molecules (C2 F4 , and C2 Cl4 ). We suggest that for these molecules the experimental values be revised to be more in line with the calculated values. For the other molecules, the largest errors in the calculated heats of formation are found in molecules containing the I atom. ACKNOWLEDGMENTS Dr. Y. Lazarou is thanked for early access to his infinite basis set work. Professor D. Z. Goodson is thanked for early access to his work on the reliability of the CCSD共T兲-cf approximation as a function of bond length. Professor H. Stoll is thanked for helpful discussions on the mixed RECP/allelectron basis set problem with ⌬E SR . Dr. S. Hirata is thanked for a critical reading of this manuscript prior to publication. This research was supported, in part, by the U.S. Department of Energy, Office of Basis Energy Research, Chemical Sciences, under Contract No. DE-AC06-76RLO 1830. This research was performed, in part, using the Molecular Science Computing Facility 共MSCF兲 in the William R. Wiley Environmental Molecular Sciences Laboratory at the Pacific Northwest National Laboratory. The MSCF is a national user facility funded by the Office of Biological and Environmental Research in the U.S. Department of Energy. The Pacific Northwest National Laboratory is a multiprogram national laboratory operated by Battelle Memorial Institute. 1 V. L. Dvortsov, M. A. Geller, S. Solomon, S. M. Schauffler, E. L. Atlas, and D. R. Blake, Geophys. Res. Lett. 26, 1699 共1999兲. 2 Y. G. Lazarou, A. V. Prosmitis, V. C. Papadimitriou, and P. Papagiannakopoulos, J. Phys. Chem. A 105, 6729 共2001兲. 3 Y. G. Lazarou, V. C. Papadimitriou, A. V. Prosmitis, and P. Papagiannakopoulos, J. Phys. Chem. A 106, 11502 共2002兲. 4 A. D. Becke, J. Chem. Phys. 98, 5648 共1993兲. 5 J. P. Perdew, Phys. Rev. B 33, 8822 共1986兲. 6 L. A. Curtiss, K. Raghavachari, G. W. Trucks, and J. A. Pople, J. Chem. Phys. 94, 7221 共1991兲. 7 J. P. Perdew and Y. Wang, Phys. Rev. B 46, 6671 共1992兲. 8 C. Lee, W. Yang, and R. G. Parr, Phys. Rev. B 37, 785 共1988兲. 9 G. D. Purvis III and R. J. Bartlett, J. Chem. Phys. 76, 1910 共1982兲. 10 K. Raghavachari, G. W. Trucks, J. A. Pople, and M. Head-Gordon, Chem. Phys. Lett. 157, 479 共1989兲. 11 J. D. Watts, J. Gauss, and R. J. Bartlett, J. Chem. Phys. 98, 8718 共1993兲. 12 L. A. Curtiss, K. Raghavachari, P. C. Redfern, and J. A. Pople, J. Chem. Phys. 106, 1063 共1997兲. 13 L. A. Curtiss, K. Raghavachari, P. C. Redfern, and J. A. Pople, J. Chem. Phys. 109, 42 共1998兲. 14 D. Feller and K. A. Peterson, J. Chem. Phys. 108, 154 共1998兲. 15 D. Feller and K. A. Peterson, J. Chem. Phys. 110, 8384 共1999兲. 16 D. Feller and D. A. Dixon, J. Phys. Chem. A 103, 6413 共1999兲. 17 D. Feller, J. Chem. Phys. 111, 4373 共1999兲. 18 D. Feller and D. A. Dixon, J. Phys. Chem. A 104, 3048 共2000兲. 19 D. Feller and J. A. Sordo, J. Chem. Phys. 113, 485 共2000兲. 20 D. Feller and J. A. Franz, J. Phys. Chem. A 104, 9017 共2000兲. 21 D. Feller and D. A. Dixon, J. Chem. Phys. 115, 3484 共2001兲. 22 D. A. Dixon and D. Feller, J. Phys. Chem. A 102, 8209 共1998兲. Thermochemical calculations 3521 23 D. A. Dixon, D. Feller, and G. Sandrone, J. Phys. Chem. A 103, 4744 共1999兲. 24 B. Ruscic, D. Feller, D. A. Dixon, K. A. Peterson, L. B. Harding, R. L. Asher, and A. F. Wagner, J. Phys. Chem. A 105, 1 共2001兲. 25 B. Ruscic, A. F. Wagner, L. B. Harding et al., J. Phys. Chem. A 106, 2727 共2002兲. 26 Y. He, Z. He, and D. Cremer, Chem. Phys. Lett. 317, 535 共2000兲. 27 H.-J. Werner, P. J. Knowles, R. D. Amos et al. MOLPRO, Universität Stüttgart, Stüttgart, Germany, University of Birmingham, Birmingham, United Kingdom, 2000. 28 D. W. Schwenke, J. Phys. Chem. A 105, 2352 共2001兲. 29 D. Feller, J. Comput. Chem. 17, 1571 共1996兲. 30 D. A. Dixon, W. A. deJong, K. A. Peterson, and J. S. Francisco, J. Phys. Chem. A 106, 4725 共2002兲. 31 T. H. Dunning, Jr., J. Chem. Phys. 90, 1007 共1989兲. 32 R. A. Kendall, T. H. Dunning, Jr., and R. J. Harrison, J. Chem. Phys. 96, 6796 共1992兲. 33 M. J. Frisch, G. W. Trucks, H. B. Schlegel et al. GAUSSIAN 98, Gaussian, Inc., Pittsburgh, PA, 1998. 34 T. Helgaker, H. J. A. Jensen, P. Jørgensen et al. DALTON 1.2 共2001兲. 35 J. Anchell, E. Apra, D. Bernholdt et al. NWCHEM 共1999兲. 36 J. L. Dunham, Phys. Rev. 41, 713 共1932兲. 37 C. Hampel, K. A. Peterson, and H. J. Werner, Chem. Phys. Lett. 190, 1 共1990兲. 38 M. J. O. Deegan and P. J. Knowles, Chem. Phys. Lett. 227, 321 共1994兲. 39 P. J. Knowles, C. Hampel, and H. J. Werner, J. Chem. Phys. 99, 5219 共1988兲. 40 D. Woon and T. H. Dunning, Jr., J. Chem. Phys. 98, 1358 共1993兲. 41 T. H. Dunning, Jr., K. A. Peterson, and A. K. Wilson, J. Chem. Phys. 114, 9244 共2001兲. 42 A. K. Wilson, D. E. Woon, K. A. Peterson, and T. H. Dunning, Jr., J. Chem. Phys. 110, 7667 共1999兲. 43 K. A. Peterson, D. Figgen, E. Goll, and H. Stoll 共unpublished兲. 44 K. A. Peterson, D. E. Woon, and T. H. Dunning, Jr., J. Chem. Phys. 100, 7410 共1994兲. 45 D. Feller, J. Chem. Phys. 96, 6104 共1992兲. 46 S. S. Xantheas and T. H. Dunning, Jr., J. Phys. Chem. 97, 18 共1993兲. 47 D. Feller, J. Chem. Phys. 98, 7059 共1993兲. 48 J. M. L. Martin, Chem. Phys. Lett. 259, 669 共1996兲. 49 W. Klopper, K. L. Bak, P. Jørgensen, J. Olsen, and T. Helgaker, J. Phys. B 32, R103 共1999兲. 50 T. Helgaker, W. Klopper, H. Koch, and J. Nago, J. Chem. Phys. 106, 9639 共1997兲. 51 A. Halkier, T. Helgaker, P. Jørgensen, W. Klopper, H. Koch, J. Olsen, and A. K. Wilson, Chem. Phys. Lett. 286, 243 共1998兲. 52 J. M. L. Martin, J. Chem. Phys. 97, 5012 共1992兲. 53 J. M. L. Martin, J. Chem. Phys. 100, 8186 共1994兲. 54 A. K. Wilson and T. H. Dunning, Jr., J. Chem. Phys. 106, 8718 共1997兲. 55 J. S. Lee and S. Y. Park, J. Chem. Phys. 112, 10746 共2000兲. 56 A. J. C. Varandas, J. Chem. Phys. 113, 8880 共2000兲. 57 D. G. Truhlar, Chem. Phys. Lett. 294, 45 共1998兲. 58 C. Schwartz, in Methods in Computational Physics, edited by B. J. Alder, S. Fernbach, and M. Rotenberg 共Academic, New York, 1963兲, Vol. 2, pp. 262. 59 W. Klopper, Mol. Phys. 99, 481 共2001兲. 60 S. J. Chakravorty and E. R. Davidson, Phys. Rev. A 47, 3649 共1993兲. 61 K. P. Huber and G. Herzberg, Molecular Spectra and Molecular Structure IV: Constants of Diatomic Molecules 共Van Nostrand Reinhold, New York, 1979兲. 62 R. S. Grev, C. L. Janssen, and H. F. Schaefer, III, J. Chem. Phys. 95, 5128 共1991兲. 63 K. A. Peterson and T. H. Dunning, Jr., J. Chem. Phys. 117, 10548 共2002兲. 64 D. E. Woon and T. H. Dunning, Jr., J. Chem. Phys. 103, 4572 共1995兲. 65 C. E. Moore, Atomic Energy Levels 共Washington, D.C., 1949兲. 66 C. W. Bauschlicher, Jr., J. Phys. Chem. A 104, 2281 共2000兲. 67 M. Douglas and N. M. Kroll, Ann. Phys. 共Leipzig兲 82, 89 共1974兲. 68 B. A. Hess, Phys. Rev. A 32, 756 共1985兲. 69 B. A. Hess, Phys. Rev. A 33, 3742 共1986兲. 70 W. A. de Jong, R. J. Harrison, and D. A. Dixon, J. Chem. Phys. 114, 48 共2001兲. 71 B. Metz, H. Stoll, and M. Dolg, J. Chem. Phys. 113, 2563 共2000兲. 72 G. Herzberg, Molecular Spectra and Molecular Structure I. Spectra of Diatomic Molecules 共Van Nostrand Reinhold, New York, 1950兲. Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3522 J. Chem. Phys., Vol. 118, No. 8, 22 February 2003 M. W. Chase, Jr., NIST-JANAF Tables 共4th Edition兲, J. Phys. Chem. Ref. Data Monogr. 9, Suppl. 1 共1998兲. 74 K. Kuchitsu, Structure of Free Polyatomic Molecules—Basic Data 共Springer, Berlin, 1998兲. 75 R. J. Cave, S. S. Xantheas, and D. Feller, Theor. Chim. Acta 83, 31 共1992兲. 76 D. Z. Goodson, J. Chem. Phys. 116, 6948 共2002兲. 77 D. Feller and J. A. Sordo, J. Chem. Phys. 112, 5604 共2000兲. 78 D. Z. Goodson and M. Zheng, Chem. Phys. Lett. 365, 396 共2002兲. 79 L. Visscher and K. G. Dyall, J. Chem. Phys. 104, 9040 共1996兲. 80 L. Visscher, J. Styszynski, and W. C. Nieuwpoort, J. Chem. Phys. 105, 1987 共1998兲. 81 W. A. de Jong, J. Styszynski, L. Visscher, and W. C. Nieuwpoort, J. Chem. Phys. 108, 5177 共1998兲. 82 L. Visscher, O. Visser, P. J. C. Aerts, H. Merenga, and W. C. Nieuwpoort, Comput. Phys. Commun. 81, 120 共1994兲. 83 M. Pernpointer, L. Visscher, W. A. deJong, and R. Broer, J. Comput. Chem. 21, 1176 共2000兲. 84 K. G. Dyall and K. Faegri, Jr., Theor. Chim. Acta 94, 39 共1996兲. 85 V. P. Glushko, L. V. Gurvich, V. A. Bergman, I. V. Veits, V. A. Medvedev, 73 Feller et al. G. A. Khachkunuzov, and V. S. Yungman, Teomodinamicheshki Svosita Individual’nikh Veschestv 共Nauka, Moscow, 1978兲. 86 K. C. Ferguson, E. N. Okafo, and E. Whittle, J. Chem. Soc., Faraday Trans. 1 69, 295 共1973兲. 87 J. D. Cox and G. Pilcher, Thermochemistry of Organic and Organometallic Compounds 共Academic, London, 1970兲. 88 W. B. DeMore, S. P. Sander, D. M. Golden, R. F. Hampson, M. J. Kurylo, C. J. Howard, A. R. Ravishankara, C. E. Kolb, and M. J. Molina, Chemical Kinetics and Photochemical Data for Use in Stratospheric Modeling 关Evaluation Number 12, Jet Propulsion Laboratory 共JPL兲 Publication 97-4, JPL, California Institute of Technology, Pasadena, CA, 1997兴. 89 P. L. Fast, M. L. Sánchez, and D. G. Truhlar, J. Chem. Phys. 111, 2921 共1999兲. 90 C. W. Bauschlicher, Jr. and A. Ricca, J. Phys. Chem. A 104, 4581 共2000兲. 91 C. W. Bauschlicher, Jr. and A. Ricca, Chem. Phys. Lett. 315, 449 共1999兲. 92 D. A. Dixon, J. Phys. Chem. 92, 86 共1988兲. 93 S. S. Kumaran, M. C. Su, K. P. Lim, J. V. Michael, A. F. Wagner, L. B. Harding, and D. A. Dixon, J. Phys. Chem. 100, 7541 共1996兲. Downloaded 11 Feb 2003 to 134.121.44.19. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp
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