SCAN-based hybrid and double-hybrid density functionals from models without fitted parameters
Kerwin Hui and Jeng-Da Chai
Citation: The Journal of Chemical Physics 144, 044114 (2016); doi: 10.1063/1.4940734 View online: http://dx.doi.org/10.1063/1.4940734
View Table of Contents: http://scitation.aip.org/content/aip/journal/jcp/144/4?ver=pdfcov Published by the AIP Publishing
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SCAN-based hybrid and double-hybrid density functionals from models without fitted parameters
Kerwin Hui1and Jeng-Da Chai1,2,a)
1Department of Physics, National Taiwan University, Taipei 10617, Taiwan
2Center for Theoretical Sciences and Center for Quantum Science and Engineering, National Taiwan University, Taipei 10617, Taiwan
(Received 5 October 2015; accepted 13 January 2016; published online 29 January 2016)
By incorporating the nonempirical strongly constrained and appropriately normed (SCAN) semilocal density functional [J. Sun, A. Ruzsinszky, and J. P. Perdew, Phys. Rev. Lett.115, 036402 (2015)] in the underlying expression of four existing hybrid and double-hybrid models, we propose one hybrid (SCAN0) and three double-hybrid (SCAN0-DH, SCAN-QIDH, and SCAN0-2) density functionals, which are free from any fitted parameters. The SCAN-based double-hybrid functionals consistently outperform their parent SCAN semilocal functional for self-interaction problems and noncovalent interactions. In particular, SCAN0-2, which includes about 79% of Hartree-Fock exchange and 50%
of second-order Møller-Plesset correlation, is shown to be reliably accurate for a very diverse range of applications, such as thermochemistry, kinetics, noncovalent interactions, and self-interaction problems. C 2016 AIP Publishing LLC. [http://dx.doi.org/10.1063/1.4940734]
I. INTRODUCTION
Since the 1990s, Kohn-Sham density functional theory (KS-DFT)1,2 has emerged as one of the most popular methods for studying the ground-state properties of large electronic systems, due to its low computational complexity and reasonable accuracy. However, as the exact exchange- correlation (XC) energy functional Exc[⇢] in KS-DFT has not been found, density functional approximations (DFAs) for Exc[⇢] have been constantly developed to improve the accuracy of KS-DFT for a diverse range of applications.3–6
The various levels of DFAs to Exc[⇢] have been commonly categorized into five di↵erent rungs of Jacob’s ladder, connecting the Hartree approximation on earth to the heaven of chemical accuracy.7The first rung of the ladder is the local density approximation (LDA),8,9 which represents the XC energy density by the local electron density. By construction, LDA is exact for a uniform electron gas, which provides a good starting point for more accurate and sophisticated DFAs.
Going beyond the LDA, the second rung of the ladder is the generalized gradient approximation (GGA), modeling the XC energy density by the local electron density and its gradient to capture the e↵ects of inhomogeneities. The third rung of the ladder is the meta-GGA (MGGA), which incorporates the ingredients of the noninteracting Kohn-Sham (KS) kinetic energy density and/or the Laplacian of the electron density into the GGA.
The functionals on the first three rungs are often called semilocal density functionals. They are reliably accurate for the properties governed by short-range XC e↵ects and are computationally efficient for large systems. Besides, as more exact constraints are likely to be satisfied by construction
a)Author to whom correspondence should be addressed. Electronic mail:
with the functionals on higher rungs of the ladder, semilocal density functionals are expected to achieve higher accuracy by climbing up the ladder at the expense of a slight increase in computational cost.7 However, due to the lack of an accurate description of nonlocal XC e↵ects, semilocal density functionals can yield erroneous results in situations where the self-interaction error (SIE), noncovalent interaction error (NCIE), or static correlation error (SCE) is enormous.3–6,10–15 Recently, there has been an increasing interest in the nonempirical semilocal density functionals developed by Perdew and co-workers, such as the Perdew-Burke-Ernzerhof (PBE) GGA functional16 and the Tao-Perdew-Staroverov- Scuseria (TPSS) MGGA functional,17 demonstrating the usefulness of the functionals developed by the method of constraint satisfaction (without fitting to a large set of experimental or high-level theoretical data).7 Very recently, Sun, Ruzsinszky, and Perdew proposed the strongly constrained and appropriately normed (SCAN) functional,18a nonempirical MGGA satisfying all 17 known exact constraints that a semilocal functional can.19Besides, SCAN is exact or nearly exact for a set of appropriate norms, including rare-gas atoms and noncovalent interactions. Nevertheless, as SCAN is a semilocal functional, it can yield qualitative failures for the SIE, NCIE, and SCE problems.
Aiming to reduce the SIE and NCIE associated with the SCAN semilocal functional, in this work, we propose SCAN- based hybrid and double-hybrid (DH) density functionals based on four existing hybrid and double-hybrid models without fitted parameters. The rest of this paper is organized as follows. We describe the models without fitted parameters for the SCAN- based hybrid and double-hybrid functionals in Section II, and computational details in SectionIII. In Section IV, we examine the performance of SCAN-based and PBE-based semilocal, hybrid, and double-hybrid functionals for a diverse range of applications. Our conclusions are given in SectionV.
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044114-2 K. Hui and J.-D. Chai J. Chem. Phys. 144, 044114 (2016)
II. HYBRID AND DOUBLE-HYBRID MODELS WITHOUT FITTED PARAMETERS
A. DFA0 hybrid model
In KS-DFT, the adiabatic-connection (AC) formalism20–24 provides a very powerful approach to the development of accurate and theoretically justifiable Exc[⇢]. Based on the AC formalism, the electron-electron interaction (↵ ˆVee) of a system is switched on by a linear scaling using a coupling- strength parameter ↵. Accordingly, the system changes from the noninteracting KS reference system (↵ = 0) to the fully interacting real system (↵ = 1), through a continuum of partially interacting systems (0 ↵ 1), all of which have the same ground-state electron density ⇢(r) as that of the fully interacting real system. Consequently, Exc[⇢] can be formally expressed as an integral over ↵,
Exc[⇢] =
⌅ 1
0 Exc,↵d↵, (1)
where the AC integrand
Exc,↵=h ↵ | ˆVee| ↵i e2 2
⌅ ⌅ ⇢(r)⇢(r0)
|r r0| drdr0 (2) is the potential energy of exchange-correlation at intermediate coupling strength ↵, with ↵being the corresponding ground- state wavefunction.
While the exact Exc,↵ remains unknown, the nonin- teracting limit (↵ = 0) is given by the Hartree-Fock (HF) exchange energy of the KS orbitals (due to the lack of electron correlation at ↵ = 0),
Exc,↵=0=EHFx , (3)
and the fully interacting limit (↵ = 1) can be well approximated by that of a DFA semilocal functional,
Exc,↵=1⇡ Exc,↵=1DFA , (4) as the XC hole is deeper and thus more localized around its electron at ↵ = 1 than at ↵ = 0.25–28Note that Exc,↵DFA(i.e., a DFA to Exc,↵) can be obtained from a DFA semilocal functional EDFAxc [⇢] via the coordinate scaling,29,30
EDFAxc,↵= @
@↵{↵2ExcDFA[⇢1/↵]}, (5) where ⇢1/↵(r) = ↵ 3⇢(r/↵) is the coordinate-scaled electron density.
Therefore, a hybrid functional (the fourth rung of the ladder),25–28,31,32which incorporates a fraction of HF exchange into a DFA semilocal functional, can be theoretically justified by the AC formalism using a simple integrand Exc,↵ that connects the noninteracting [Eq. (3)] and fully interacting [Eq. (4)] limits. Due to the adoption of an improved Exc,↵, a hybrid functional is expected to enhance the description of nonlocal exchange e↵ects and the overall accuracy with respect to its parent DFA semilocal functional, wherein a less accurate integrand Exc,↵⇡ Exc,↵DFAis e↵ectively employed.
Based on the AC formalism, Perdew, Ernzerhof, and Burke proposed the following DFA0 integrand (where n 1 is an integer):27
Exc,↵DFA0=Exc,↵DFA+(ExHF ExDFA)(1 ↵)n 1. (6)
As shown in Eq.(6), Exc,↵=0DFA0 =ExHFand Exc,↵=1DFA0 =Exc,↵=1DFA can be correctly achieved. Substituting Eq.(6)into Eq.(1)yields the DFA0 hybrid model,
ExcDFA0=ExcDFA+1
n (EHFx EDFAx )
=EDFAx +EcDFA+1
n (EHFx EDFAx )
=1
nEHFx +(1 1
n )EDFAx +EcDFA, (7) where EHFx is the HF exchange energy, ExDFA is the DFA exchange energy, EcDFA is the DFA correlation energy, and n = 4 is chosen due to the generally good performance of the fourth-order Møller-Plesset (MP4) perturbation theory for most molecules.27
To construct a DFA0 hybrid functional without fitted parameters, it is essential to adopt a nonempirical DFA semilocal functional in Eq.(7). By adopting PBE as the parent DFA functional, one obtains PBE0,32,33a very popular PBE- based hybrid functional. In this work, we adopt the recently developed SCAN semilocal functional as the underlying DFA in Eq.(7), and denominate the resulting SCAN-based hybrid functional as SCAN0.
B. DFA0-DH, DFA-QIDH, and DFA0-2 double-hybrid models
In the DFA0 hybrid model, while the exchange part of a DFA is enhanced with the nonlocal character, the correlation part remains the same. Consequently, a DFA0 hybrid functional can fail to describe the properties governed by nonlocal correlation e↵ects, such as noncovalent interactions.
To make progress, relevant physical constraints may be imposed on the AC integrand Exc,↵.
At the weakly interacting limit (↵ ! 0), Exc,↵ has a perturbation expansion,34–36
Exc,↵=ExHF+2EcGL2↵ +· · ·, (8) where EcGL2 is the second-order Görling-Levy (GL2) correlation energy, which can be well approximated by the second-order Møller-Plesset (MP2) correlation energy of the KS orbitals for most of the systems,37
EcGL2⇡ EMP2c . (9) Therefore, a DH functional (the fifth rung of the ladder),38–55 combining a fraction of HF exchange and a fraction of MP2 correlation with a DFA semilocal functional, can be theoretically justified by the AC formalism employing a simple interpolation between the weakly interacting [Eq.(8)]
and fully interacting [Eq. (4)] limits of Exc,↵ as a function of ↵. Owing to the use of an improved version of Exc,↵, a double-hybrid functional should improve the description of nonlocal XC e↵ects and the overall accuracy with respect to its parent DFA semilocal functional. Note that a double-hybrid functional can be generally expressed as
ExcDH=axExHF+(1 ax)EDFAx +(1 ac)EDFAc +acEcMP2, (10)
where EcMP2is the MP2 correlation energy, a perturbative term evaluated with the orbitals obtained using the first three terms.
The two mixing parameters {ax,ac} can be determined by empirical fitting or physical arguments.
Recently, Sharkas et al.45 provided a rigorous theo- retical justification for double-hybrid functionals based on the AC formalism, leading to the density-scaled one- parameter double-hybrid (DS1DH) approximation. Following the DS1DH approximation, Toulouse et al.47 proposed a sensible approximation to the density-scaled correlation functional (see Eq. (9) of Ref. 47), yielding the linearly scaled one-parameter double-hybrid (LS1DH) approximation, wherein a cubic relation between the two mixing parameters {ax,ac} in a double-hybrid functional is shown,
ac =(ax)3. (11)
After substituting Eq.(11)into Eq.(10), only one parameter (either axor ac) needs to be determined.
To determine {ax,ac} without empirical fitting, various arguments were recently proposed and applied to the LS1DH approximation, yielding the following three double-hybrid models (in order of increasing axor ac):
• DFA0-DH model:46{ax=1/2, ac=(1/2)3=1/8},
• DFA-QIDH model:52 {ax=(1/3)1/3⇡ 0.693361, ac =1/3},
• DFA0-2 model:49 {ax=(1/2)1/3⇡ 0.793701, ac =1/2}.
To develop a double-hybrid functional from one of these double-hybrid models without fitted parameters, a nonempirical DFA semilocal functional should be employed in Eq.(10). In previous studies, PBE was commonly adopted as the underlying DFA in these double-hybrid models, and the corresponding double-hybrid functionals were denominated PBE0-DH46 for the DFA0-DH model, PBE-QIDH52 for the DFA-QIDH model, and PBE0-249 for the DFA0-2 model.
In this work, we adopt SCAN as the parent DFA semilocal functional in the DFA0-DH, DFA-QIDH, and DFA0-2 models and denominate the resulting SCAN-based double-hybrid functionals as SCAN0-DH, SCAN-QIDH, and SCAN0-2, respectively.
III. COMPUTATIONAL DETAILS
For a comprehensive comparison, we examine the following 10 PBE-based and SCAN-based semilocal, hybrid, and double-hybrid functionals:
• DFA semilocal functionals: PBE16and SCAN,18
• DFA0 hybrid functionals: PBE032,33and SCAN0,
• DFA0-DH double-hybrid functionals: PBE0-DH46and SCAN0-DH,
• DFA-QIDH double-hybrid functionals: PBE-QIDH52 and SCAN-QIDH,
• DFA0-2 double-hybrid functionals: PBE0-249 and SCAN0-2
on various test sets involving
• the 223 atomization energies (AEs) of the G3/99 set,56–58
• the 40 ionization potentials (IPs), 25 electron affinities (EAs), and 8 proton affinities (PAs) of the G2-1 set,59
• the 76 barrier heights of the NHTBH38/04 and HTBH38/04 sets,60,61
• the 22 noncovalent interactions of the S22 set,62,63
• the 66 noncovalent interactions of the S66 set,64
• two interaction energy curves of the benzene dimer from the S66⇥8 set,64
• seven isodesmic reaction energies of n-alkanes to ethane,65–69
• two dissociation energy curves of symmetric radical cations,70–74
• the dissociation energy curve of H2.
Detailed information about these test sets can be found in Refs.12,49, and75.
All calculations are performed with a development version of Q-Chem 4.3.76 Spin-restricted theory is used for singlet states and spin-unrestricted theory for others, unless noted otherwise. Results are computed using the 6-311++G(3df,3pd) basis set with the ultrafine grid EML(99,590), consisting of 99 Euler-Maclaurin radial grid points77 and 590 Lebedev angular grid points.78 The MP2 calculations are done without frozen core (i.e., all electrons are included in the perturbation). For computational efficiency, the resolution-of-identity (RI) approximation79 is used for calculations with the MP2 correlation (using sufficiently large auxiliary basis sets). For the interaction energies of the weakly bound systems, the counterpoise correction80is employed to reduce basis set superposition error (BSSE). The error for each entry is defined as (error = theoretical value reference value). The notation used for characterizing statistical errors is as follows: mean signed errors (MSEs), mean absolute errors (MAEs), root-mean-square (rms) errors, maximum negative errors (Max( )), and maximum positive errors (Max(+)).
IV. RESULTS AND DISCUSSION
For the test sets shown in TableI, the functionals on higher rungs of Jacob’s ladder generally perform better than those on lower rungs, though there are some exceptions.81For the AEs of the G3/99 set, the SCAN0-2 double-hybrid functional has the best performance. Surprisingly, the SCAN semilocal func- tional performs comparably to the PBE0-DH, PBE-QIDH, PBE0-2, and SCAN-QIDH double-hybrid functionals and the PBE0 hybrid functional. SCAN and SCAN0-2 are consistently better than their PBE-based counterparts (i.e., PBE and PBE0-2, respectively) in performance, while SCAN0, SCAN0-DH, and SCAN-QIDH fail to outperform their PBE-based counterparts (i.e., PBE0, PBE0-DH, and PBE-QIDH, respectively). Nevertheless, for the IPs, EAs, and PAs of the G2-1 set, all the functionals have similar performance.
For the barrier heights of the NHTBH38/04 and HTBH38/04 sets, SCAN slightly outperforms PBE, whereas SCAN0 and PBE0 are significantly better than SCAN and PBE, respectively, in performance. PBE-QIDH performs
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044114-4 K. Hui and J.-D. Chai J. Chem. Phys. 144, 044114 (2016) TABLE I. Statistical errors (in kcal/mol) of the PBE-based and SCAN-based semilocal, hybrid, and double-hybrid density functionals for the 223 atomization energies (AEs) of the G3/99 set,56–58the 40 ionization potentials (IPs), 25 electron affinities (EAs), and 8 proton affinities (PAs) of the G2-1 set,59the 76 barrier heights of the NHTBH38/04 and HTBH38/04 sets,60,61the 22 noncovalent interactions of the S22 set,62,63and the 66 noncovalent interactions of the S66 set.64
DFA DFA0 DFA0-DH DFA-QIDH DFA0-2
System Error PBE SCAN PBE0 SCAN0 PBE0-DH SCAN0-DH PBE-QIDH SCAN-QIDH PBE0-2 SCAN0-2
G3/99 MSE 20.90 4.27 3.91 10.18 0.24 10.52 1.54 5.96 3.08 2.18
(223) MAE 21.51 5.52 6.30 10.50 5.11 10.77 5.37 6.31 5.82 4.18
rms 26.30 6.68 8.65 12.34 7.05 13.01 7.23 8.22 7.95 5.39
IP MSE 0.04 0.08 0.19 0.05 0.22 0.39 0.27 0.29 0.32 0.44
(40) MAE 3.44 4.24 3.48 4.57 3.17 3.75 2.43 3.22 2.38 2.83
rms 4.35 5.27 4.21 5.81 3.96 4.75 2.93 3.95 3.17 3.50
EA MSE 1.72 0.31 1.07 2.19 2.03 2.53 2.23 2.37 1.95 2.16
(25) MAE 2.42 3.91 3.10 5.08 3.54 4.76 3.26 3.97 2.91 3.38
rms 3.06 4.57 3.53 6.03 4.17 5.65 3.89 4.62 3.65 4.05
PA MSE 0.83 0.03 0.18 0.01 0.47 0.25 0.33 0.52 0.07 0.67
(8) MAE 1.60 1.17 1.14 1.27 1.09 1.32 1.04 1.20 0.96 1.07
rms 1.91 1.61 1.61 1.82 1.67 1.73 1.45 1.49 1.21 1.33
NHTBH MSE 8.52 7.48 3.13 3.28 0.32 0.83 1.39 0.87 2.34 1.94
(38) MAE 8.62 7.62 3.63 3.84 1.57 2.24 1.62 1.63 2.44 2.03
rms 10.61 8.72 4.63 4.63 2.19 2.82 2.58 2.55 3.71 3.43
HTBH MSE 9.67 7.49 4.60 3.99 1.87 1.81 0.28 0.56 0.50 0.19
(38) MAE 9.67 7.49 4.60 4.06 1.93 2.00 0.99 1.14 1.39 1.18
rms 10.37 7.94 4.88 4.46 2.19 2.48 1.30 1.43 1.74 1.45
S22 MSE 2.72 0.69 2.45 0.85 1.75 0.60 1.03 0.28 0.61 0.09
(22) MAE 2.72 0.92 2.46 1.11 1.78 0.84 1.05 0.43 0.61 0.19
rms 3.73 1.22 3.45 1.54 2.49 1.19 1.42 0.59 0.78 0.25
S66 MSE 2.22 0.61 2.09 0.77 1.56 0.58 1.00 0.33 0.66 0.19
(66) MAE 2.23 0.85 2.10 1.01 1.58 0.81 1.01 0.49 0.67 0.27
rms 2.75 1.04 2.61 1.25 1.98 1.01 1.27 0.63 0.83 0.40
best, followed by SCAN-QIDH. Overall, the SCAN-based and PBE-based double-hybrid functionals are comparable in performance, and are much more accurate than the corresponding hybrid and semilocal functionals.
For the noncovalent interactions of the S22 and S66 sets, the SCAN-based semilocal, hybrid, and double- hybrid functionals consistently outperform their PBE-based counterparts, which may be attributed to the improved performance of SCAN for noncovalent interactions (mainly due to its improved treatment of medium-range dynamical correlation e↵ects), with respect to PBE. Nonetheless, as SCAN and PBE are both semilocal functionals, they cannot adequately describe the van der Waals (vdW) asymptote,10,15 which requires an accurate treatment of long-range dynamical correlation e↵ects. Incorporating SCAN and PBE with the double-hybrid schemes,38–55 the DFT-D (KS-DFT with empirical dispersion corrections) schemes,44,82–88 or fully nonlocal density functionals89–91 may greatly improve the accuracy of SCAN and PBE for vdW interactions. Among the functionals examined on the S22 and S66 sets, SCAN0-2 ranks first, while SCAN-QIDH and PBE0-2 rank second and third, respectively. SCAN0-DH only slightly improves upon SCAN due to its relatively small fraction (12.5%) of MP2 correlation. To the best of our knowledge, the MAEs of
SCAN0-2 on the S22 and S66 sets are record low. Therefore, SCAN0-2 should outperform most existing density functionals here, and possibly, for other noncovalent interactions as well.
In addition, our investigation is extended to the interaction energy curves of the benzene dimer in the S66⇥8 set.
Specifically, we calculate the interaction energy curves for the parallel-displaced (in Figure 1) and T-shaped (in Figure 2) configurations of the benzene dimer as functions of the intermonomer distance R (defined in Ref. 64), where the optimized geometries and reference values are taken from the S66⇥8 set. Overall, the predicted interaction energy curves of SCAN0-2 are extremely close to the accurate reference curves (within an error of 0.28 kcal/mol), followed by PBE0-2 (within an error of 0.80 kcal/mol) and SCAN-QIDH (within an error of 0.84 kcal/mol). All the other functionals predict severely underbinding or even repulsive curves.
The isodesmic reaction energies (see Eq. (12) for the considered bond separation reaction) of the linear conformations of the n-alkanes to form ethane have been discovered to yield systematic errors in standard KS-DFT calculations, when the number of protobranches in n-alkanes, m, increases,65–69
CH3(CH2)mCH3+mCH4! (m + 1)C2H6. (12)
FIG. 1. Interaction energy curve for the parallel-displaced configuration of the benzene dimer as a function of the intermonomer distance R (defined in the S66⇥8 set64), where R0is the equilibrium distance.
To assess if the SCAN-based hybrid and double-hybrid func- tionals alleviate this problem, we calculate seven isodesmic reaction energies of n-alkanes to ethane, where the optimized geometries and reference values are taken from Ref.68. As shown in Figure3, due to the accurate treatment of medium- range electron correlation e↵ects,68the predicted reaction ener- gies of PBE0-2 are the closest ones to the reference values (within an error of 0.02 kcal/mol), followed by SCAN-QIDH (within an error of 0.39 kcal/mol) and SCAN0-2 (within an error of 1.19 kcal/mol). By contrast, all the other functionals exhibit considerable errors with the increase of m.
Owing to the severe SIEs associated with semilocal functionals, spurious fractional charge dissociation can occur for symmetric charged radicals.70–74 To investigate how the SCAN-based hybrid and double-hybrid functionals improve upon the SIE problems, spin-unrestricted calculations are performed for the dissociation energy curves of He+2and Ar+2. The results are compared with those calculated using the highly accurate CCSD(T) theory (coupled-cluster theory with iterative singles and doubles and perturbative treatment of
FIG. 2. Interaction energy curve for the T-shaped configuration of the ben- zene dimer as a function of the intermonomer distance R (defined in the S66⇥8 set64), where R0is the equilibrium distance.
FIG. 3. Errors for isodesmic reaction energies of n-alkanes to ethane.
triple substitutions).92 As shown in Figure 4, the predicted He+2 dissociation energy curves of SCAN0-2 and PBE0-2 are very close to the CCSD(T) curve. It appears that the SIEs associated with SCAN0-2 and PBE0-2 are more than six times smaller than their parent semilocal functionals, SCAN and PBE, respectively. As can be seen in Figure5, in contrast to the other functionals, both SCAN0-2 and PBE0-2 can dissociate Ar+2 correctly, which are indeed very promising.
Note that a discontinuity undesirably appears in the derivative of the SCAN0-2 (or PBE0-2) dissociation energy curve for Ar+2, due to the use of MP2 correlation (as discussed in Refs. 43, 49, and 93). Overall, the SCAN-based semilocal, hybrid, and double-hybrid functionals consistently outperform their PBE-based counterparts.
Due to the presence of strong static correlation e↵ects, H2
dissociation (a single-bond breaking system) has been very challenging for conventional density functionals in KS-DFT.
Based on the symmetry constraint, the spin-restricted and spin-unrestricted dissociation energy curves of H2calculated by the exact theory, should be identical, implying that H2 should be properly separated into two H atoms at the dissociation limit. Therefore, the di↵erence between the dissociation limit of the spin-restricted dissociation energy curve and the sum of the energies of two H atoms can be
FIG. 4. Dissociation energy curve of He+2. Zero level is set to E(He) + E(He+) for each method.
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044114-6 K. Hui and J.-D. Chai J. Chem. Phys. 144, 044114 (2016)
FIG. 5. Dissociation energy curve of Ar+2. Zero level is set to E(Ar) + E(Ar+) for each method.
FIG. 6. Spin-restricted dissociation energy curve of H2. The exact curve is calculated using the CCSD theory. Zero level is set to 2E(H) for each method.
adopted as a quantitative measure of SCEs of approximate density functional methods.11–13To examine the performance of the SCAN-based and PBE-based functionals upon the SCE problems, spin-restricted calculations are performed for the dissociation energy curves of H2. As shown in Figure6, all the functionals perform comparably to the CCSD theory94(exact for any two-electron system) near the equilibrium bond length of H2, where the single-reference character is predominant.
Nevertheless, all the functionals yield enormous SCEs at the dissociation limit, where the multi-reference character becomes significant. It is worthwhile to note that any double- hybrid functional must fail for H2 dissociation, as the MP2 correlation energy unphysically diverges to minus infinity for systems with vanishing energy di↵erences between the highest occupied and lowest unoccupied molecular orbitals (HOMO-LUMO gaps). Note also that hybrid and double- hybrid functionals may not improve upon the parent semilocal functionals for the SCE problems.11–13
V. CONCLUSIONS
In summary, by incorporating the nonempirical SCAN semilocal density functional as the parent DFA functional in
the hybrid and double-hybrid models discussed in this work, we have developed one hybrid (SCAN0) and three double- hybrid (SCAN0-DH, SCAN-QIDH, and SCAN0-2) density functionals, which are free from any fitted parameters. Owing to the significant improvement over their parent semilocal functional SCAN (the third rung of Jacob’s ladder) for a wide range of systems, SCAN0 fits reasonably well into the fourth rung of the ladder, while SCAN0-DH, SCAN-QIDH, and SCAN0-2 fit well into the fifth rung of the ladder.
For the SIE and NCIE problems, the SCAN-based semilocal, hybrid, and double-hybrid functionals consistently outperform their PBE-based counterparts. In particular, SCAN0-2 is generally superior in performance for a very diverse range of applications (including the SIE and NCIE problems, but not the SCE problems), extending the applicability of SCAN- based functionals to a very wide variety of systems. It remains very difficult to devise a generally accurate density functional method resolving the SIE, NCIE, and SCE problems at a↵ordable computational costs. Work in this direction is in progress.
ACKNOWLEDGMENTS
This work was supported by the Ministry of Science and Technology of Taiwan (Grant No. MOST104-2628- M-002-011-MY3), National Taiwan University (Grant No.
NTU-CDP-104R7818), the Center for Quantum Science and Engineering at NTU (Subproject Nos. NTU-ERP-104R891401 and NTU-ERP-104R891403), and the National Center for Theoretical Sciences of Taiwan.
1P. Hohenberg and W. Kohn,Phys. Rev.136, B864 (1964).
2W. Kohn and L. J. Sham,Phys. Rev.140, A1133 (1965).
3R. G. Parr and W. Yang, Density-Functional Theory of Atoms and Molecules (Oxford University, New York, 1989).
4S. Kümmel and L. Kronik,Rev. Mod. Phys.80, 3 (2008).
5A. J. Cohen, P. Mori-Sánchez, and W. Yang,Chem. Rev.112, 289 (2011).
6E. Engel and R. M. Dreizler, Density Functional Theory: An Advanced Course (Springer, Heidelberg, 2011).
7J. P. Perdew, A. Ruzsinszky, J. Tao, V. N. Staroverov, G. E. Scuseria, and G. I. Csonka,J. Chem. Phys.123, 062201 (2005).
8P. A. M. Dirac,Math. Proc. Cambridge Philos. Soc.26, 376 (1930).
9J. P. Perdew and Y. Wang,Phys. Rev. B45, 13244 (1992).
10J. F. Dobson, K. McLennan, A. Rubio, J. Wang, T. Gould, H. M. Le, and B. P. Dinte,Aust. J. Chem.54, 513 (2001).
11A. J. Cohen, P. Mori-Sánchez, and W. Yang,Science321, 792 (2008).
12J.-D. Chai,J. Chem. Phys.136, 154104 (2012).
13J.-D. Chai,J. Chem. Phys.140, 18A521 (2014).
14C.-S. Wu and J.-D. Chai,J. Chem. Theory Comput.11, 2003 (2015).
15Y.-T. Chen, K. Hui, and J.-D. Chai,Phys. Chem. Chem. Phys.18, 3011 (2016).
16J. P. Perdew, K. Burke, and M. Ernzerhof,Phys. Rev. Lett.77, 3865 (1996).
17J. Tao, J. P. Perdew, V. N. Staroverov, and G. E. Scuseria,Phys. Rev. Lett.
91, 146401 (2003).
18J. Sun, A. Ruzsinszky, and J. P. Perdew,Phys. Rev. Lett.115, 036402 (2015).
19J. P. Perdew, J. Sun, A. Ruzsinszky, P. D. Mezei, and G. I. Csonka,Period.
Polytech., Chem. Eng.60, 2 (2016).
20J. Harris and R. O. Jones,J. Phys. F4, 1170 (1974).
21D. C. Langreth and J. P. Perdew,Solid State Commun.17, 1425 (1975).
22O. Gunnarsson and B. I. Lundqvist,Phys. Rev. B13, 4274 (1976).
23D. C. Langreth and J. P. Perdew,Phys. Rev. B15, 2884 (1977).
24J. Harris,Phys. Rev. A29, 1648 (1984).
25A. D. Becke,J. Chem. Phys.98, 1372 (1993).
26A. D. Becke,J. Chem. Phys.98, 5648 (1993).
27J. P. Perdew, M. Ernzerhof, and K. Burke,J. Chem. Phys.105, 9982 (1996).
28K. Burke, M. Ernzerhof, and J. P. Perdew,Chem. Phys. Lett.265, 115 (1997).
29M. Levy and J. P. Perdew,Phys. Rev. A32, 2010 (1985).
30M. Levy, W. Yang, and R. G. Parr,J. Chem. Phys.83, 2334 (1985).
31P. J. Stephens, F. J. Devlin, C. F. Chabalowski, and M. J. Frisch,J. Phys.
Chem.98, 11623 (1994).
32C. Adamo and V. Barone,J. Chem. Phys.110, 6158 (1999).
33M. Ernzerhof and G. E. Scuseria,J. Chem. Phys.110, 5029 (1999).
34A. Görling and M. Levy,Phys. Rev. B47, 13105 (1993).
35A. Görling and M. Levy,Phys. Rev. A50, 196 (1994).
36A. Görling and M. Levy,Phys. Rev. A52, 4493 (1995).
37E. Engel, A Primer in Density Functional Theory, Lecture Notes in Physics Vol. 620, edited by C. Fiolhais, F. Nogueira, and M. A. L. Marques (Springer, Berlin, 2003), pp. 56-122.
38M. Ernzerhof,Chem. Phys. Lett.263, 499 (1996).
39Y. Zhao, B. J. Lynch, and D. G. Truhlar,J. Phys. Chem. A108, 4786 (2004).
40Y. Zhao, B. J. Lynch, and D. G. Truhlar,Phys. Chem. Chem. Phys.7, 43 (2005).
41S. Grimme,J. Chem. Phys.124, 034108 (2006).
42I. Y. Zhang, X. Xu, and W. A. Goddard III,Proc. Natl. Acad. Sci. U. S. A.
106, 4963 (2009).
43J.-D. Chai and M. Head-Gordon,J. Chem. Phys.131, 174105 (2009).
44S. Grimme, J. Antony, S. Ehrlich, and H. Krieg,J. Chem. Phys.132, 154104 (2010).
45K. Sharkas, J. Toulouse, and A. Savin,J. Chem. Phys.134, 064113 (2011).
46E. Brémond and C. Adamo,J. Chem. Phys.135, 024106 (2011).
47J. Toulouse, K. Sharkas, E. Brémond, and C. Adamo,J. Chem. Phys.135, 101102 (2011).
48I. Y. Zhang, N. Q. Su, É. A. G. Brémond, C. Adamo, and X. Xu,J. Chem.
Phys.136, 174103 (2012).
49J.-D. Chai and S.-P. Mao,Chem. Phys. Lett.538, 121 (2012).
50S. M. O. Souvi, K. Sharkas, and J. Toulouse,J. Chem. Phys.140, 084107 (2014).
51N. Q. Su and X. Xu,J. Chem. Phys.140, 18A512 (2014).
52E. Brémond, J. C. Sancho-García, A. J. Pérez-Jiménez, and C. Adamo, J. Chem. Phys.141, 031101 (2014).
53J. Kim and Y. Jung,J. Chem. Theory Comput.11, 45 (2015).
54M. Alipour,Theor. Chem. Acc.134, 87 (2015).
55É. Brémond, M. Savarese, Á. J. Pérez-Jiménez, J. C. Sancho-García, and C.
Adamo,J. Phys. Chem. Lett.6, 3540 (2015).
56L. A. Curtiss, K. Raghavachari, P. C. Redfern, and J. A. Pople,J. Chem. Phys.
106, 1063 (1997).
57L. A. Curtiss, P. C. Redfern, K. Raghavachari, and J. A. Pople,J. Chem. Phys.
109, 42 (1998).
58L. A. Curtiss, K. Raghavachari, P. C. Redfern, and J. A. Pople,J. Chem. Phys.
112, 7374 (2000).
59J. A. Pople, M. Head-Gordon, D. J. Fox, K. Raghavachari, and L. A. Curtiss, J. Chem. Phys.90, 5622 (1989).
60Y. Zhao, B. J. Lynch, and D. G. Truhlar,J. Phys. Chem. A108, 2715 (2004).
61Y. Zhao, N. González-García, and D. G. Truhlar,J. Phys. Chem. A109, 2012 (2005);110,4942(E)(2006).
62P. Jureˇcka, J. Šponer, J. ˇCerný, and P. Hobza,Phys. Chem. Chem. Phys.8, 1985 (2006).
63T. Takatani, E. G. Hohenstein, M. Malagoli, M. S. Marshall, and C. D.
Sherrill,J. Chem. Phys.132, 144104 (2010).
64J. Rezac, K. E. Riley, and P. Hobza,J. Chem. Theory Comput.7, 2427 (2011).
65P. C. Redfern, P. Zapol, L. A. Curtiss, and K. Raghavachari,J. Phys. Chem.
A104, 5850 (2000).
66M. D. Wodrich, C. Corminboeuf, and P. v. R. Schleyer,Org. Lett.8, 3631 (2006).
67J.-W. Song, T. Tsuneda, T. Sato, and K. Hirao,Org. Lett.12, 1440 (2010).
68S. Grimme,Org. Lett.12, 4670 (2010).
69S. N. Steinmann, M. D. Wodrich, and C. Corminboeuf,Theor. Chem. Acc.
127, 429 (2010).
70T. Bally and G. N. Sastry,J. Phys. Chem. A101, 7923 (1997).
71B. Braïda, P. C. Hiberty, and A. Savin, J. Phys. Chem. A 102, 7872 (1998).
72P. Mori-Sánchez, A. J. Cohen, and W. Yang,J. Chem. Phys.125, 201102 (2006).
73A. Ruzsinszky, J. P. Perdew, G. I. Csonka, O. A. Vydrov, and G. E. Scuseria, J. Chem. Phys.126, 104102 (2007).
74O. A. Vydrov, G. E. Scuseria, and J. P. Perdew,J. Chem. Phys.126, 154109 (2007).
75J.-D. Chai and M. Head-Gordon,J. Chem. Phys.128, 084106 (2008).
76Y. Shao, Z. Gan, E. Epifanovsky, A. T. B. Gilbert, M. Wormit, J. Kussmann, A. W. Lange, A. Behn, J. Deng, X. Feng, D. Ghosh, M. Goldey, P. R. Horn, L. D. Jacobson, I. Kaliman, R. Z. Khaliullin, T. Ku´s, A. Landau, J. Liu, E.
I. Proynov, Y. M. Rhee, R. M. Richard, M. A. Rohrdanz, R. P. Steele, E. J.
Sundstrom, H. L. Woodcock III, P. M. Zimmerman, D. Zuev, B. Albrecht, E.
Alguire, B. Austin, G. J. O. Beran, Y. A. Bernard, E. Berquist, K. Brandhorst, K. B. Bravaya, S. T. Brown, D. Casanova, C.-M. Chang, Y. Chen, S. H.
Chien, K. D. Closser, D. L. Crittenden, M. Diedenhofen, R. A. DiStasio, Jr., H. Do, A. D. Dutoi, R. G. Edgar, S. Fatehi, L. Fusti-Molnar, A. Ghysels, A. Golubeva-Zadorozhnaya, J. Gomes, M. W. D. Hanson-Heine, P. H. P.
Harbach, A. W. Hauser, E. G. Hohenstein, Z. C. Holden, T.-C. Jagau, H.
Ji, B. Kaduk, K. Khistyaev, J. Kim, J. Kim, R. A. King, P. Klunzinger, D.
Kosenkov, T. Kowalczyk, C. M. Krauter, K. U. Lao, A. Laurent, K. V. Lawler, S. V. Levchenko, C. Y. Lin, F. Liu, E. Livshits, R. C. Lochan, A. Luenser, P.
Manohar, S. F. Manzer, S.-P. Mao, N. Mardirossian, A. V. Marenich, S. A.
Maurer, N. J. Mayhall, E. Neuscamman, C. M. Oana, R. Olivares-Amaya, D.
P. O’Neill, J. A. Parkhill, T. M. Perrine, R. Peverati, A. Prociuk, D. R. Rehn, E. Rosta, N. J. Russ, S. M. Sharada, S. Sharma, D. W. Small, A. Sodt, T. Stein, D. Stück, Y.-C. Su, A. J. W. Thom, T. Tsuchimochi, V. Vanovschi, L. Vogt, O. Vydrov, T. Wang, M. A. Watson, J. Wenzel, A. White, C. F. Williams, J.
Yang, S. Yeganeh, S. R. Yost, Z.-Q. You, I. Y. Zhang, X. Zhang, Y. Zhao, B.
R. Brooks, G. K. L. Chan, D. M. Chipman, C. J. Cramer, W. A. Goddard III, M. S. Gordon, W. J. Hehre, A. Klamt, H. F. Schaefer III, M. W. Schmidt, C.
D. Sherrill, D. G. Truhlar, A. Warshel, X. Xu, A. Aspuru-Guzik, R. Baer, A.
T. Bell, N. A. Besley, J.-D. Chai, A. Dreuw, B. D. Dunietz, T. R. Furlani, S.
R. Gwaltney, C.-P. Hsu, Y. Jung, J. Kong, D. S. Lambrecht, W. Z. Liang, C.
Ochsenfeld, V. A. Rassolov, L. V. Slipchenko, J. E. Subotnik, T. Van Voorhis, J. M. Herbert, A. I. Krylov, P. M. W. Gill, and M. Head-Gordon,Mol. Phys.
113, 184 (2015).
77C. W. Murray, N. C. Handy, and G. J. Laming,Mol. Phys.78, 997 (1993).
78V. I. Lebedev and D. N. Laikov, Dokl. Math.59, 477 (1999).
79R. A. Kendall and H. A. Früchtl,Theor. Chem. Acc.97, 158 (1997).
80S. F. Boys and F. Bernardi,Mol. Phys.19, 553 (1970).
81See supplementary material at http://dx.doi.org/10.1063/1.4940734 for further numerical results.
82S. Grimme,J. Comput. Chem.25, 1463 (2004).
83S. Grimme,J. Comput. Chem.27, 1787 (2006).
84J.-D. Chai and M. Head-Gordon,Phys. Chem. Chem. Phys.10, 6615 (2008).
85L. A. Burns, Á. Vázquez-Mayagoitia, B. G. Sumpter, and C. D. Sherrill, J. Chem. Phys.134, 084107 (2011).
86L. Goerigk and S. Grimme,Phys. Chem. Chem. Phys.13, 6670 (2011).
87Y.-S. Lin, C.-W. Tsai, G.-D. Li, and J.-D. Chai,J. Chem. Phys.136, 154109 (2012).
88Y.-S. Lin, G.-D. Li, S.-P. Mao, and J.-D. Chai,J. Chem. Theory Comput.9, 263 (2013).
89M. Dion, H. Rydberg, E. Schröder, D. C. Langreth, and B. I. Lundqvist,Phys.
Rev. Lett.92, 246401 (2004).
90O. A. Vydrov and T. Van Voorhis,J. Chem. Phys.133, 244103 (2010).
91W. Hujo and S. Grimme,J. Chem. Theory Comput.7, 3866 (2011).
92K. Raghavachari, G. W. Trucks, J. A. Pople, and M. Head-Gordon,Chem.
Phys. Lett.157, 479 (1989).
93W. Kurlancheek and M. Head-Gordon,Mol. Phys.107, 1223 (2009).
94G. D. Purvis and R. J. Bartlett,J. Chem. Phys.76, 1910 (1982).
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