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Quantum Electronic Structure

The LDA-1/2 method applied to atoms and molecules Ronaldo Rodrigues Pela, Andris Gulans, and Claudia Draxl J. Chem. Theory Comput., Just Accepted Manuscript • DOI: 10.1021/acs.jctc.8b00518 • Publication Date (Web): 17 Aug 2018 Downloaded from http://pubs.acs.org on August 19, 2018

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The LDA-1/2 method applied to atoms and molecules Ronaldo Rodrigues Pela,∗,†,‡,¶ Andris Gulans,‡,¶ and Claudia Draxl‡,¶ †Departamento de Física, Instituto Tecnológico de Aeronáutica (ITA), 12228-900 São José dos Campos/SP, Brazil ‡Physics Department and IRIS Adlershof, Humboldt-Universität zu Berlin, Zum Großen Windkanal 6, D-12489 Berlin ¶European Theoretical Spectroscopy Facility (ETSF) E-mail: [email protected]

Abstract The LDA-1/2 method evaluates ionization potentials as the energy of the highest occupied molecular orbitals (HOMOs) at half occupation. It has proven to be a viable approach for calculating band gaps of semiconductors. To address its accuracy for finite systems, we apply LDA-1/2 to the atoms and molecules of the GW 100 test set. The obtained HOMO energies are validated against CCSD(T) data and the G0 W0 approach of many-body perturbation theory. The accuracy of LDA-1/2 and G0 W0 is found to be the same, where the latter is computationally much more involved. To get insight into the benefits and limitations of the LDA-1/2 method, we analyze the impact of each assumption made in deriving the methodology.

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Introduction

A long-standing issue of approximate functionals in density-functional theory (DFT), especially the local-density approximation (LDA), is that they do not obey Koopmans’ theorem. This implies that even the Kohn-Sham (KS) eigenvalue corresponding to the highest occupied molecular level (HOMO) in theory lacks a physical meaning. 1,2 This problem can be resolved, e. g., by applying a self-energy correction as obtained from the GW approach of many-body perturbation theory, to obtain the corresponding quasi-particle energy. It is highly desirable though to stay within the KS framework due to the lower computational costs of semi-local density functionals with its more favorable scaling with respect to the system size (third vs. fourth power of the number of atoms in the unit cell). 3 While there are numerous other approaches for correcting KS eigenvalues in order to obtain improved ionization energies (IEs), 4–10 in this work, we focus on the LDA-1/2 method. 11–13 It has been shown to give good results for solids, alloys, interfaces, 2D materials, and impurities. 13–19 In a recent investigation, 20 LDA-1/2 also proved to be a good starting point for G0 W0 calculations of solids, suggesting that the method provides a good estimate to quasiparticle energies. For finite systems, its accuracy has not been assessed yet. It is therefore important to verify to which extent the LDA-1/2 method can be applied to accurately describe the single-particle spectra in atoms and molecules. In this work, we perform benchmark calculations for the IEs of the atoms and molecules from the GW 100 test set. 21 For comparison, we also use the local-density approximation (LDA), the hybrid functional PBE0, the Hartree-Fock (HF) method, a long-range-corrected generalized gradient approximation (LC-ωPBE), 22 and the ∆SCF approach based on LDA. To establish the accuracy of each approach, we compare our results to IEs obtained in Ref. 23 with coupled-cluster calculations that include singles, doubles, and perturbative triples CCSD(T), which is considered the gold standard among the quantum chemistry methods. 24,25 The comparison with CCSD(T) rather than with experiments allows us to safely ignore effects of temperature, nuclear vibrations, and interaction with the environment, 2

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which affect experimental values. 26,27 Further, we select 6 molecules from the GW 100 set and determine the impact of each approximation assumed in the LDA-1/2 method. Finally, for a representative subset of 5 molecules, we evaluate the accuracy of each method in describing not only the HOMO, but also lower-lying KS levels.

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The LDA-1/2 method

The LDA-1/2 method resembles Slater’s transition state technique, in which a ∆SCF calculation of the IE is replaced by a single calculation of the HOMO with half-occupation. Mathematically, this reads

E(N − 1) − E(N ) = −εα (N − 1/2),

(1)

where E(N ) is the total energy of a N -electron system, and εα (N − 1/2) is the HOMO eigenvalue with half-ionization. It is possible to obtain εα (N − 1/2) without explicitly removing half an electron from the molecule. This is achieved by evaluating the following inner product: 11,12   ∇2 + vext + vH + vXC − VS φα . εα (N − 1/2) = φα − 2

(2)

Here, we denote the HOMO wavefunction of a system with N electrons as φα , while the external (vext ), Hartree (vH ) and exchange-correlation (vXC ) potentials are the contributions to the KS potential. The term VS , called self-energy potential due to its similarity to its electrostatic counterpart, carries the information about the half-ionization. 20 It can be expressed as the difference between the KS potentials of the N and N − 1/2 electron systems, respectively. 11,12 Conceptually, VS is the potential needed to create half a hole in the HOMO. 11,12 A good approximation to VS is to consider it as a sum of the self-energy potentials of its

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atoms, 12 VS (compound) ∼ =

X

VS (fi , atomi ),

(3)

i

where fi is the fractional charge removed from the i-th atom. Each self-energy potential VS (fi , atomi ) is then obtained in a separate calculation, as a difference between the KS potential of the atom and its corresponding ion with charge fi . fi should reflect how much each atom contributes to the HOMO of the actual system. To create the half hole, the total P degree of ionization must satisfy i fi = 1/2. Equation (3) enables us to easily obtain the self-energy potential of a system, without half-ionizing it, as just the constituent atoms need to be ionized separately. The last approximation in LDA-1/2 is to self-consistently solve the KS equations of the N -electron system with a modified XC potential according to 

 ∇2 0 + vext + vH + vXC φj = εj φj , − 2

(4)

0 where vXC = vXC −VS . This expression facilitates the implementation, since one just needs to

modify the XC potential to employ the LDA-1/2 method in practice. Neglecting the changes in the KS wavefunctions of Eq. (4) due to the inclusion of VS , the HOMO eigenvalue from Eq. (4) is equal to the inner product of Eq. (2), and hence is equal to an eigenvalue with half-occupation. For the sake of clarity, we enumerate all the assumptions of the LDA-1/2 method: 1. LDA is accurate enough to calculate IEs within a ∆SCF procedure; 2. A half-occupied eigenvalue is a good approximation to the IE calculated this way; 3. The half-occupied eigenvalue can be obtained by means of an inner product given by Eq. (2); 4. The self-energy potential can be expanded in terms of atomic self-energy potentials;

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5. Changes in the KS wavefunction are neglected, giving the HOMO eigenvalue according to Eq. (2). Further below, we shall examine these points one by one to assess their effect on the accuracy of the method.

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Computational details

LDA and LDA-1/2 calculations are performed with the full-potential linearized augmented planewaves (LAPW) code exciting. 28–30 Since periodic boundary conditions are used, we place the atoms and molecules in a box with a sufficient amount of vacuum to isolate the replicas. Based on our convergence tests, we can ensure a precision of the HOMO energies of about 10-25 meV. In order to carry out PBE0, HF, LC-ωPBE, and ∆SCF calculations, we resort to the NWChem 31 code. For LC-ωPBE, a range-separation parameter 32 ω = 0.3 bohr−1 is adopted. The Def2-QZVPP basis 33 is used. Differences between this basis and LAPW have been carefully checked by comparing the LDA HOMO eigenvalues obtained with both codes. The mean absolute deviation is 28 meV. For the molecules, we adopt here the experimental molecular geometries, previously employed by van Setten and coworkers 21 in their G0 W0 benchmark calculations. These geometries were also used in the CCSD(T) study in Ref. 23.

4 4.1

Results and discussion HOMO energies of atoms and molecules

In Table 1, we present the calculated HOMO eigenvalues of the atoms and molecules from the GW 100 test set. We also show CCSD(T) IEs, extracted from the literature. 23 CCSD(T) data are not available for Xe. 5

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Table 1: HOMO energies (in eV) of atoms and molecules calculated with LDA, PBE0, HF, LDA-1/2, LC-ωPBE, and IEs (in eV) obtained by means of CCSD(T) 23 and ∆SCF calculations employing LDA. The first column is the index of each atom/molecule as defined by van Setten et al. 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

CCSD(T) He 24.51 Ne 21.32 Ar 15.54 Kr 13.94 Xe H2 16.40 Li2 5.27 Na2 4.95 Na4 4.23 Na6 4.35 K2 4.06 Rb2 3.93 N2 15.57 P2 10.47 As2 9.78 F2 15.71 Cl2 11.41 Br2 10.54 I2 9.51 CH4 14.37 C 2 H6 13.04 C 3 H8 12.05 C4 H10 11.57 C 2 H4 10.67 C 2 H2 11.42 C4 11.26 C 3 H6 10.87 C 6 H6 9.29 C 8 H8 8.35 C 5 H6 8.68 C 2 H3 F 10.55 C2 H3 Cl 10.09 C2 H3 Br 9.27 C 2 H3 I 9.33 CF4 16.30 CCl4 11.56 CBr4 10.46 CI4 9.27 SiH4 12.80 GeH4 12.50

LDA 15.52 13.55 10.40 9.39 8.38 10.26 3.24 3.23 2.76 3.10 2.70 2.64 10.40 7.25 6.69 9.64 7.42 6.95 6.42 9.47 8.14 7.72 7.56 6.96 7.38 7.35 7.20 6.54 5.49 5.60 6.74 6.61 6.00 6.21 10.66 7.80 7.10 6.37 8.52 8.37

PBE0 18.21 15.98 11.97 10.77 9.51 12.00 3.79 3.61 3.08 3.39 2.94 2.84 12.16 8.10 7.48 11.79 8.71 8.12 7.37 11.00 9.61 9.17 8.97 7.89 8.43 8.62 8.34 7.29 6.25 6.39 7.78 7.58 6.91 7.09 12.67 9.10 8.27 7.31 9.87 9.67 6

HF 24.98 23.14 16.08 14.26 12.41 16.18 4.95 4.53 3.83 4.07 3.60 3.42 16.69 10.09 9.29 18.13 12.07 11.04 9.82 14.84 13.25 12.74 12.42 10.29 11.19 11.49 11.36 9.16 8.29 8.41 10.49 10.11 9.19 9.37 18.65 12.52 11.24 9.80 13.24 12.89

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LDA-1/2 24.51 20.54 15.16 13.61 12.05 15.39 5.03 4.99 3.84 3.94 3.94 3.78 14.65 10.20 9.46 14.56 10.80 9.99 9.07 13.02 11.01 10.40 10.01 10.42 11.04 10.40 10.15 9.01 7.58 8.28 10.07 9.57 8.90 8.94 14.15 10.28 9.33 8.25 11.42 11.24

LC-ωPBE 19.89 17.67 14.23 13.07 11.79 14.24 5.44 5.12 4.42 4.69 4.18 4.03 14.36 10.31 9.61 13.67 10.95 10.35 9.56 13.25 11.77 11.30 11.09 10.35 10.87 10.82 10.68 9.56 8.48 8.73 10.12 9.88 9.15 9.31 14.60 11.34 10.50 9.49 12.10 11.90

∆SCF 24.29 22.17 15.99 14.35 12.06 16.23 5.32 5.26 4.39 4.60 4.36 4.27 15.60 10.79 10.00 15.64 11.36 10.51 9.46 14.23 11.92 11.09 10.62 11.01 11.75 11.07 10.96 9.54 8.11 8.77 10.70 10.09 9.40 9.33 14.92 10.69 9.75 8.65 12.18 12.20

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41 Si2 H6 42 Si5 H12 43 LiH 44 KH 45 BH3 46 B 2 H6 47 NH3 48 HN3 49 PH3 50 AsH3 51 SH2 52 FH 53 ClH 54 LiF 55 MgF2 56 TiF4 57 AlF3 58 BF 59 SF4 60 BrK 61 GaCl 62 NaCl 63 MgCl2 64 AlI3 65 BN 66 HCN 67 PN 68 H2 NNH2 69 H2 CO 70 CH4 O 71 C2 H6 O 72 C2 H4 O 73 C4 H10 O 74 CH2 O2 75 HOOH 76 H2 O 77 CO2 78 CS2 79 OCS 80 OCSe 81 CO 82 O3 83 SO2 84 BeO 85 MgO

CCSD(T) 10.65 9.27 7.96 6.13 13.28 12.26 10.81 10.68 10.52 10.40 10.31 16.03 12.59 11.32 13.71 15.48 15.46 11.09 12.59 8.13 9.77 9.03 11.67 9.82 11.89 13.87 11.74 9.72 10.84 11.04 10.69 10.21 9.82 11.42 11.59 12.57 13.71 9.98 11.17 10.79 14.21 12.55 13.49 9.94 7.49

LDA 7.34 6.66 4.39 3.58 8.49 7.85 6.29 7.01 6.78 6.89 6.41 9.82 8.15 6.36 8.55 10.70 9.98 6.82 8.46 4.90 6.77 5.44 7.78 6.81 7.46 9.18 7.85 5.39 6.38 6.45 6.27 6.09 5.92 7.12 6.62 7.41 9.32 6.93 7.64 7.12 9.11 8.18 8.29 6.30 4.95

PBE0 8.40 7.55 5.44 4.27 9.94 9.27 7.70 8.04 7.87 7.84 7.55 11.79 9.49 7.91 10.22 12.50 11.77 8.02 9.82 5.85 7.49 6.52 9.00 7.75 8.73 10.41 9.30 6.80 7.88 8.01 7.80 7.54 7.36 8.59 8.31 9.03 10.72 7.85 8.70 8.10 11.03 9.84 9.61 7.36 6.07 7

HF 11.06 9.81 8.21 6.56 13.57 12.85 11.69 10.99 10.58 10.39 10.48 17.68 12.97 12.93 15.41 17.96 17.26 11.02 13.81 8.56 9.55 9.63 12.25 10.18 11.54 13.52 12.06 10.72 12.05 12.34 12.04 11.58 11.39 12.92 13.31 13.87 14.83 10.13 11.46 10.57 15.38 13.29 13.53 10.57 8.74

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LDA-1/2 9.62 7.99 8.13 6.57 11.90 10.61 10.52 10.59 9.84 10.04 10.10 15.71 12.36 11.57 12.11 13.76 13.33 10.51 11.76 8.26 9.64 9.15 10.37 8.56 11.40 13.29 11.41 8.78 10.16 10.24 9.82 9.61 8.84 10.95 10.73 12.48 13.29 9.78 10.84 10.26 13.26 12.09 11.77 10.26 8.23

LC-ωPBE 10.56 9.57 7.75 6.39 12.20 11.44 9.99 10.24 10.12 10.07 9.87 13.80 11.81 10.15 12.41 14.52 13.84 10.36 11.92 8.11 9.70 8.82 11.32 9.93 11.07 12.87 11.49 9.01 9.96 10.14 9.94 9.66 9.45 10.75 10.44 11.24 12.88 9.91 10.88 10.27 13.28 11.94 11.82 9.70 8.19

∆SCF 10.48 8.85 8.21 6.60 13.01 11.34 11.24 11.22 10.65 10.59 10.63 16.74 12.98 12.32 12.62 14.30 13.89 11.04 12.42 8.69 10.07 9.62 10.87 9.15 12.01 14.15 11.96 9.51 10.93 10.93 10.30 10.20 9.41 11.60 11.50 13.16 14.03 10.24 11.51 10.83 14.28 12.82 12.38 10.69 8.49

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86 87 88 89 90 91 92 93 94 95 96 97 98 99 100

CCSD(T) C 7 H8 8.90 C8 H10 8.85 C 6 F6 9.93 C6 H5 OH 8.70 C6 H5 NH2 7.99 C 5 H5 N 9.66 C5 H5 N5 O 8.03 C5 H5 N5 8.33 C4 H5 N3 O 9.51 C5 H6 N2 O2 9.08 C4 H4 N2 O2 10.13 CH4 N2 O 10.05 Ag2 7.49 Cu2 7.57 NCCu 10.85

LDA 6.19 6.20 6.90 5.83 5.22 6.04 5.54 5.76 5.95 6.24 6.49 6.12 5.55 4.98 7.05

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-HOMO [eV]

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

15

PBE0 6.95 6.95 7.90 6.68 6.03 7.49 6.22 6.47 6.82 7.13 7.49 7.53 5.71 5.73 8.18

HF 8.81 8.80 10.49 8.77 8.11 9.46 8.16 8.39 9.35 9.61 10.04 11.39 6.34 6.45 11.32

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LDA-1/2 8.40 8.36 9.17 8.27 7.57 8.83 7.54 7.88 8.38 8.43 8.86 9.53 8.06 8.05 10.38

LC-ωPBE 9.17 9.17 10.01 8.86 8.18 9.63 8.33 8.61 8.99 9.25 9.65 9.74 7.70 7.90 10.51

∆SCF 8.99 8.93 9.81 8.76 8.04 10.02 8.09 8.39 8.84 9.03 9.73 10.07 8.47 8.49 10.78

LDA PBE0 HF LDA-1/2 LC- PBE

10 5 00

5

10

15

20

IE from CCSD(T) [eV]

25

Figure 1: HOMO eigenvalues as calculated with different methods in comparison with IEs from CCSD(T). The dashed line indicates perfect agreement. In Fig. 1, we plot the HOMO eigenvalues as calculated by different functionals against the IEs from CCSD(T). The straight line corresponds to perfect agreement. For each method, a linear fit, y = γx, is performed to assess this accuracy quantitatively. The respective coefficients are given in Table 2. With γ = 0.65, LDA is the least accurate method. As expected, an improvement is found when PBE0 is employed, giving γ = 0.76. Finally, HF,

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Deviation from CCSD(T) [eV]

HD HG NT O AR NB TM

HC

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AT D

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2 0 2 4 6 8 100

25

50

75

Molecule index

100

Figure 2: Deviation of each −εHOM O from CCSD(T) IE. The color code is consistent with Fig. 1. The molecules are grouped as in Ref. 27. AT: atoms, D: dimers, HC: hydrocarbons, HD: hydrides, HG: halogenides, NT: nitrides, O: oxides, AR: aromatics, NB: nucleobases, TM: transition metals. LDA-1/2, and LC-ωPBE provide even better agreement with CCSD(T). A notable difference between them is that HF tends to overestimate IEs, whereas LDA-1/2 and LC-ωPBE tend to underestimate them. The level of accuracy of these three approaches is very similar though, with linear coefficients of 1.05 for HF, and 0.94 for LDA-1/2 and LC-ωPBE. This means that, on average, the predictions are 5% higher and 6% lower, respectively, than the ideal values. In Fig. 2, the deviation of the HOMO eigenvalues with respect to CCSD(T) is plotted against the molecular index. Like in Ref. 27, the atoms/molecules are grouped according to their similarities. With this grouping, it is easy to identify that LDA-1/2 tends to be more accurate than HF for atoms, dimers, nitrides, oxides, and compounds with transition metals. For hydrocarbons, hydrides, halogenides, aromatic systems, and nucleobases, HF tends to be more accurate, although the accuracy of LDA-1/2 in aromatic systems is still decent (mean absolute error smaller than 0.6 eV). LC-ωPBE is the most accurate method for dimers and the least accurate one for atoms. 9

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In Fig. 3, we show histograms with the distribution of errors among LDA, PBE0, HF, LDA-1/2, and LC-ωPBE. The mean errors (ME) and the mean absolute errors (MAE) are presented in Table 2 together with the mean square (RMS) errors, and the maximum (MAX) and minimum (MIN) absolute errors. We now discuss our results in terms of ME and MAE, but an analogous interpretation of the results can be provided in terms of the other types of errors (RMS, MAX, and MIN). For the 100 molecules and atoms of the GW 100 test set, the underestimation of the LDA HOMO eigenvalues compared to CCSD(T) shows up in a MAE of 3.84 eV and the same value for the ME. The HOMO levels obtained with PBE0 are also underestimated, with a MAE of 2.66 eV. As expected, the HOMO energies calculated with HF tend to overestimate IEs, while the opposite is the case for LDA-1/2 and LC-ωPBE. Their MAEs of 0.64 eV (HF), 0.70 eV (LDA-1/2), and 0.63 eV(LC-ωPBE) are very similar. It is also interesting to note that the accuracy of these methods is comparable to G0 W0 @PBE, which yields a MAE of 0.69 eV, as reported by Caruso and coworkers. 27 This similarity between LDA-1/2 and G0 W0 @PBE can be understood if we recall that LDA-1/2 is intended to reproduce the HOMO eigenvalue as the IE of a ∆SCF calculation, which may reach similar accuracy to GW approaches, 34 as it can be learned from Table 2. Table 2: Different types of errors (MAE, ME, RMS, MAX, and MIN, in eV) for different approaches considered in this work and extracted from Ref. 27. γ is the coefficient of a linear fit (see also Fig. 1). LDA PBE0 HF LDA-1/2 LC-ωPBE ∆SCF G0 W0 @PBEa G0 W0 @HFa GW0 @PBEa GW0 @HFa GW a qsGW a

ME MAE RMS -3.84 3.84 4.03 -2.66 2.66 2.78 0.46 0.64 0.86 -0.63 0.70 0.86 -0.52 0.63 0.95 -0.01 0.38 0.52 -0.69 0.69 0.26 0.35 -0.34 0.35 0.40 0.06 0.20 0.27 -0.30 0.32 0.42 0.15 0.22 0.29 a Obtained from Ref. 10

MAX MIN γ 8.99 1.25 0.65 6.30 0.96 0.76 2.48 0.01 1.05 2.15 0.00 0.94 4.62 0.02 0.94 1.57 0.00 1.00

1.43 0.95 1.44 0.95 27.

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0.97 1.01 0.98 1.01

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Number of molecules

1.0 25

LDA

20

15 0.8 10 5 0.6 0 6 4 2 0 2 25 0.4 20

Number of molecules

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Error [eV] LDA

25 20

PBE0

25

HF

20

25 20

LDA-1/2

25 20

15

15

15

15

10

10

10

10

5

5

5

5

0 6 4 2 0 2

0 6 4 2 0 2

0 6 4 2 0 2

0 6 4 2 0 2

25 20

Error [eV] PBE0

25 20

Error [eV] HF

25 20

Error [eV] LDA-1/2

25 20

15 0.2 10

15

15

15

15

10

10

10

10

5

5

5

5

5

0.000.0 0 1 2 3 4 5 6

Abs. error [eV]

LC- PBE

Error [eV] LC- PBE

0 0 1 2 3 4 5 6 0.4 0 0 1 2 3 4 5 6 0.60 0 1 2 3 4 5 6 0.80 0 1 2 3 4 5 6 1.0 0.2

Abs. error [eV]

Abs. error [eV]

Abs. error [eV]

Abs. error [eV]

Figure 3: Histograms showing the deviation of the HOMO energies obtained by different methods with respect to the CCSD(T) results of Ref. 23. Mean errors and absolute errors are shown in the top and bottom panels, respectively. Since HF, LDA-1/2, and LC-ωPBE yield HOMO energies with an accuracy similar to G0 W0 , it is interesting to compare our results with other GW flavors reported by Caruso and coworkers. 27 This is done in Fig. 4, where we recognize that the methods can be grouped in three classes, according to their performance. The first class, with least accuracy, contains LDA and PBE0, which underestimate the IEs with a MAE larger than 2.0 eV. The second class, comprising HF, LDA-1/2, LC-ωPBE, and G0 W0 @PBE, exhibits absolute MEs and MAEs between 0.4 and 0.7 eV. The third class includes the most accurate methods, ∆SCF, G0 W0 @HF, GW0 @PBE, GW0 @HF, self-consistent GW , and quasi-particle self-consistent GW (qsGW ) with absolute MEs and MAEs smaller than 0.4 eV. It must be underlined that LDA-1/2 is the only method entirely based on a KS scheme with a local potential, while all other approaches with reasonable or good performance go beyond KS and employ non-local operators.

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Figure 4: Mean error (top) and mean absolute error (bottom) of HOMO energies of the of GW 100 molecules obtained with a range of methods. The colored bars correspond to the data calculated in this paper, and the gray ones to the data from Ref. 27. We recall that an assumption behind LDA-1/2 is to recover, by means of the self-energy potential, HOMO energies which match IEs obtained with ∆SCF calculations. Table 2 tells us that this is not perfectly fulfilled. In other words, there is still space for improvements so that LDA-1/2 could belong to the third class.

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4.2

Planar vs. non-planar molecules

To understand better how systematic the performance of LDA-1/2 is, we list the molecules whose IE is predicted with an absolute error larger than 1 eV: H2 , CI4 , Si2 H6 , CBr4 , C4 H5 N3 O, F2 , AlI3 , GeH4 , C4 H4 N2 O2 , CCl4 , Si5 H12 , MgCl2 , CH4 , BH3 , SiH4 , C4 H10 , MgF2 , C3 H8 , B2 H6 , TiF4 , SO2 , C2 H6 , AlF3 , CF4 . On the other hand for He, Na2 , H2 O, HN3 , NaCl, K2 , GaCl, BrK, Rb2 , LiH, CS2 , SH2 , HCl, Li2 , LiF, C2 H4 , P2 , C6 H6 , NH3 an absolute error smaller than 0.3 eV is obtained. Interestingly, all the systems belonging to the last group are linear or planar, except for NH3 . In contrast, in the former group, the majority of molecules is non-planar. This analysis suggests that the accuracy of LDA-1/2 can be related to the planarity of a molecule. We will explore this in the following. In Fig. 5, we show the distribution of errors of LDA-1/2 for the HOMO energies of planar and non-planar molecules separately. As anticipated above, we observe that the

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Figure 5: Distribution of errors of HOMO energies in LDA-1/2 calculations for planar (left) and non-planar (right) molecules. non-planar molecules have a larger MAE (0.97 eV) than the planar ones (0.56 eV). The MAE for these two subsets is displayed in Table 3, where it is compared to the MAE for all the molecules of the GW 100 set. HF, LDA-1/2, and ∆SCF share the same qualitative trend while the opposite trend can be recognized for LDA, PBE0, and LC-ωPBE. If we analyze the ME (instead of the MAE), we verify with the values from Table 3 that ∆SCF calculations tend to underestimate IEs of non-planar molecules, and to overestimate IEs 13

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of planar ones. The ∆SCF approach is the only one which shows this opposite trend of overestimation/underestimation for planar/non-planar molecules. But non-planar molecules are less well described, with an absolute ME (0.31 eV) larger than the ME of the planar molecules (0.14 eV), which is consistent to what we observed before for the MAE. LDA-1/2 presents negative MEs for both planar and non-planar molecules, but the ME of non-planar molecules is 0.5 eV more negative than the ME of the planar ones. This difference, although is the most pronounced one among all the approaches, is still comparable with the difference found in ∆SCF calculations (0.45 eV). Interestingly, the ME of LDA-1/2 is approximately 0.6 eV smaller than the ME of ∆SCF, which means that the HOMO energy obtained with LDA-1/2 is on average 0.6 eV smaller than the IE predicted with the ∆SCF approach. This means that the trend observed for LDA-1/2 to better describe planar molecules is following the trend of ∆SCF, one of its underlying assumptions. Table 3: MAE and ME (in eV) of HOMO eigenvalues when all molecules of the GW 100 set or subsets of only planar or non-planar molecules are taken into account. Method LDA PBE0 HF LDA-1/2 LC-ωPBE ∆SCF

4.3

MAE All Planar Non-planar 3.84 3.93 3.68 2.66 2.74 2.50 0.64 0.60 0.72 0.70 0.56 0.97 0.63 0.68 0.53 0.38 0.37 0.40

ME All Planar Non-planar −3.84 −3.93 −3.68 −2.66 −2.74 −2.50 0.46 0.36 0.65 −0.63 −0.46 −0.97 −0.52 −0.59 −0.38 −0.01 0.14 −0.31

Individual assessment of assumptions behind LDA-1/2

We now turn our attention to the impact of the assumptions, listed in Section 2, on the accuracy of the method. This analysis is summarized in Fig. 6 for the molecules CH4 , CF4 , CCl4 , CBr4 , AlF3 and MgCl2 , for which the deviation from the corresponding CCSD(T) result is larger than 1.1 eV. These significant errors should allow for identifying the origin of systematic errors.

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SCF-LSDA SCF-LDA Half ion

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AlF

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Figure 6: Individual errors of the different assumptions behind the LDA-1/2 method. We first perform ∆SCF calculations to obtain the IE. We employ now exciting, where LDA-1/2 has been implemented. With periodic boundary conditions, the removal of one electron leaves the molecule charged, and thus calculations are more difficult to converge with respect to the box size, L. Therefore, the IE energy is finally obtained by extrapolation: 35

IE(L) = IE(∞) +

A . L

(5)

This procedure adds an uncertainty of about 0.1 eV. Since an ionized molecule has an odd number of electrons, spin-polarized and non-spinpolarized ∆SCF calculations yield different results, especially for molecules with a small number of electrons. The deviations between the approaches are shown in Fig. 6. Since the differences are small, i.e., not larger than 0.3 eV, all the calculations discussed below are non spin-polarized. The eigenvalues of the half-ionized molecules have also been obtained with an extrapolation procedure similar to Eq. (5). The deviations with respect to CCSD(T) are given in Fig. 6. We observe that the assumption of half-ionization does not introduce a large error

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over the IE obtained with the ∆SCF approach, the largest difference between them being 0.17 eV. The deviations of the IEs obtained with the inner product given by Eq. (2) are depicted in dark green. We note that what we call inner product contains actually a sum of two approximations: the one introduced by the inner product itself, and a second one, assuming VS as a superposition of atomic VS . This is done mainly because it is difficult to disentangle them in practice. However, the approximation introduced by the inner product itself is expected to be smaller than the second one. We verify that, in all cases, except for CH4 , calculations under this assumption reproduce, with a small error, calculations of half-ionized molecules. The last assumption included in LDA-1/2 is the neglect of the relaxation of KS orbitals when VS is introduced. We observe that this is the most drastic approximation among all the five, as it is leads to the most significant error.

4.4

Low-lying KS levels

Now we turn our attention to low-lying single-particle levels. In Fig. 7, we compare not only the HOMO but lower-lying single-particle levels with respect to experimental values, summarized in Ref. 36.1 Five molecules are chosen as a representative set that covers different types of structures and electrostatic properties. N2 is an example of a linear, non-polar molecule; CF4 is a representative of a non-planar molecule with polar bonds, but zero net dipole; FH is a planar and highly polar molecule; benzene and pyridine represent aromatic, organic molecules; both of them are planar, but the first one has a null net dipole moment, whereas the second one has a non-vanishing net dipole. In Fig. 7, we also include results of exact KS and ∆SCF calculations extracted from Refs. 1 and 36. We observe that exact KS calculations present the best agreement with experiment, 1

The ME and MAE between IEs obtained with CCDS(T) and the experimental IEs reported in Ref. 36 are 0.004 and 0.08 eV, respectively. We proceed in this way, because in Ref. 23, CCSD(T) calculations were carried out only for the first IEs.

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N

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Figure 7: Deviations of one-particle levels with respect to experiment. From the right to the left, HOMO, HOMO-1, HOMO-2, . . .. KS and ∆SCF results have been taken from Refs. 1 and 36, respectively.

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followed by ∆SCF calculations. In all cases except for pyridine, KS calculations tend to predict the HOMO energy with higher accuracy than low-lying levels (a very good discussion in this regard is provided by Ref. 1). This same trend is also followed by ∆SCF calculations, as already pointed out in Ref. 36. The accuracy of LDA-1/2 decreases as one goes down in energy. This is not surprising, since intrinsic limitations are inherited from one of its assumptions, namely that ∆SCF calculations based on LDA can be used to obtain the HOMO energy. We recall that the LDA-1/2 corrections to the KS eigenvalues are meant specifically to improve the HOMO level. Strictly speaking, one should not expect that deeper levels are corrected appropriately as well. However, compared to LDA, we observe that even these deeper KS energies are improved. This can be attributed partially to the localization of charge obtained with the inclusion of the self-energy potential, 20 one of the characteristics of LDA-1/2 which remedies the over-delocalization problem in LDA. On the other hand, ∆SCF provides an upper bound for the accuracy of the LDA-1/2 method, and at the same time it is apparent from Fig. 7 that differences between the LDA-1/2 and ∆SCF results are small in comparison to the deviations from the experimental results. The performance of HF follows the same trends as ∆SCF and LDA-1/2, i.e., the agreement with experiment deteriorates as one goes to deeper single-particle energies. This is observed in all cases, except for CF4 . In some cases, like in benzene and pyridine, this increase is much more pronounced, and, specifically for benzene, the deviation of HF eventually surpasses the absolute deviation of LDA, as one goes lower energies. Due to the opposite trends of HF and semi-local functionals (overestimation vs. underestimation), PBE0 has a discrepancy with respect to experiment which is roughly constant as one goes into low-lying energies. The same also applies to LC-ωPBE.

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5

Conclusions

We have presented the application of LDA-1/2 to atoms and the molecules of GW 100 test set, evaluating the HOMO level with respect to CCSD(T) ionization energies. We have demonstrated that LDA-1/2 reaches a MAE similar to that of HF and G0 W0 @PBE, even although it employs only local potentials. The accuracy of the LDA-1/2 method is found to be better for planar molecules. Further, we have addressed the accuracy of the method in describing low-lying KS levels, and conclude that the HOMO eigenvalue is described most accurately. Since LDA-1/2 is a method employing exclusively local potentials, our findings may encourage other researchers to use this method for very large systems, where the computational cost may be prohibitive for methods based on non-local potentials.

Acknowledgement R. R. Pela thanks the Alexander von Humboldt Foundation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, and the Humboldt-Universität zu Berlin (grant “Humboldt Talent Travel Award”) for financial support. This work was partially supported by the German Research Foundation (DFG) through the Collaborative Research Center 951 HIOS.

Remark Input and output files of our calculations are available on the NOMAD repository. 37,38

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from density functional theory: Insight from the integer discontinuity. The Journal of Chemical Physics 2008, 129, 044110. (11) Ferreira, L. G.; Marques, M.; Teles, L. K. Approximation to density functional theory for the calculation of band gaps of semiconductors. Phys. Rev. B 2008, 78, 125116. (12) Ferreira, L. G.; Marques, M.; Teles, L. K. Slater half-occupation technique revisited: the LDA-1/2 and GGA-1/2 approaches for atomic ionization energies and band gaps in semiconductors. AIP Adv. 2011, 1, 032119. (13) Ferreira, L. G.; Pelá, R. R.; Teles, L. K.; Marques, M.; Jr., M. R.; Furthmüller, J. The LDA-1/2 technique: Recent developments. AIP Conference Proceedings 2013, 1566, 27–28. (14) Pelá, R. R.; Caetano, C.; Marques, M.; Ferreira, L. G.; Furthmüller, J.; Teles, L. K. Accurate band gaps of AlGaN, InGaN, and AlInN alloys calculations based on LDA-1/2 approach. Applied Physics Letters 2011, 98, 151907. (15) Pelá, R. R.; Marques, M.; Ferreira, L. G.; Furthmüller, J.; Teles, L. K. GaMnAs: Position of Mn-d levels and majority spin band gap predicted from GGA-1/2 calculations. Applied Physics Letters 2012, 100, 202408. (16) Filho, O. P. S.; Jr., M. R.; Pelá, R. R.; Teles, L. K.; Ferreira, L. G.; Marques, M. Allout band structure and band offset ab initio predictions for AlN/GaN and AlP/GaP interfaces. Journal of Applied Physics 2013, 114, 033709. (17) Santos, J. P. T.; Marques, M.; Ferreira, L. G.; Pelá, R. R.; Teles, L. K. Digital magnetic heterostructures based on GaN using GGA-1/2 approach. Applied Physics Letters 2012, 101, 112403. (18) Matusalem, F.; Ribeiro, M., Jr.; Marques, M.; Pelá, R. R.; Ferreira, L. G.; Teles, L. K.

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(27) Caruso, F.; Dauth, M.; van Setten, M. J.; Rinke, P. Benchmark of GW Approaches for the GW100 Test Set. J. Chem. Theory Comput. 2016, 12, 5076–5087. (28) Gulans, A.; Kontur, S.; Meisenbichler, C.; Nabok, D.; Pavone, P.; Rigamonti, S.; Sagmeister, S.; Werner, U.; Draxl, C. exciting: a full-potential all-electron package implementing density-functional theory and many-body perturbation theory. J. Phys. Condens. Matter 2014, 26, 363202. (29) Pela, R. R.; Gulans, A.; Draxl, C. The LDA-1/2 method implemented in the exciting code. Computer Physics Communications 2017, 220, 263 – 268. (30) Gulans, A.; Kozhevnikov, A.; Draxl, C. Microhartree precision in density functional theory calculations. Phys. Rev. B 2018, 97, 161105. (31) Valiev, M.; Bylaska, E.; Govind, N.; Kowalski, K.; Straatsma, T.; Dam, H. V.; Wang, D.; Nieplocha, J.; Apra, E.; Windus, T.; de Jong, W. NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations. Comput. Phys. Commun. 2010, 181, 1477 – 1489. (32) Rohrdanz, M. A.; Herbert, J. M. Simultaneous benchmarking of ground- and excitedstate properties with long-range-corrected density functional theory. The Journal of Chemical Physics 2008, 129, 034107. (33) Weigend, F.; Ahlrichs, R. Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy. Phys. Chem. Chem. Phys. 2005, 7, 3297–3305. (34) Martin, R. M.; Reining, L.; Ceperley, D. M. Interacting Electrons: Theory and Computational Approaches; Cambridge University Press: New York, 2016. (35) Makov, G.; Payne, M. C. Periodic boundary conditions in ab initio calculations. Phys. Rev. B 1995, 51, 4014–4022. 23

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(36) Shapley, W. A.; Chong, D. P. PW86–PW91 density functional calculation of vertical ionization potentials: Some implications for present-day functionals. International Journal of Quantum Chemistry 2001, 81, 34–52. (37) NOMAD repository. https://www.nomad-coe.eu/. (38) http://dx.doi.org/10.17172/NOMAD/2018.08.10-1.

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