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. Author manuscript; available in PMC: 2020 Jan 24.
Published in final edited form as: J Phys Chem A. 2019 Jan 10;123(3):666–673. doi: 10.1021/acs.jpca.8b10380

Approximating Quasiparticle and Excitation Energies from Ground State Generalized Kohn-Sham Calculations

Yuncai Mei , Chen Li , Neil Qiang Su , Weitao Yang †,
PMCID: PMC6445661  NIHMSID: NIHMS1005775  PMID: 30589546

Abstract

Quasiparticle energies and fundamental band gaps in particular are critical properties of molecules and materials. It was rigorously established that the generalized Kohn-Sham HOMO and LUMO orbital energies are the chemical potentials of electron removal and addition and thus good approximations to band edges and fundamental gaps from a density functional approximation (DFA) with minimal delocalization error. For other quasiparticle energies, their connection to the generalized Kohn-Sham orbital energies has not been established but remains highly interesting. We provide the comparison of experimental quasiparticle energies for many finite systems with calculations from the GW Green’s function and localized orbitals scaling correction (LOSC), a recently developed correction to semilocal DFAs, which has minimal delocalization error. Extensive results with over forty systems clearly show that LOSC orbital energies achieve slightly better accuracy than the GW calculations with little dependence on the semilocal DFA, supporting the use of LOSC DFA orbital energies to predict quasiparticle energies. This also leads to the calculations of excitation energies of the N-electron systems from the ground state DFA calculations of the (N − 1)-electron systems. Results show good performance with accuracy similar to TDDFT and the delta SCF approach for valence excitations with commonly used DFAs with or without LOSC. For Rydberg states, good accuracy was obtained only with the use of LOSC DFA. This work highlights the pathway to quasiparticle and excitation energies from ground density functional calculations.

Graphical Abstract:

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Introduction

Quasiparticles are a powerful concept in electronic structure theory of many-electron systems. In particular, accurate prediction of quasiparticle energies is essential for interpreting the electronic excitation spectra of molecules and materials, such as photoemission and optical experiments. Formally, quasiparticle energies can be exactly formulated in many-body perturbation theory.13 In practice, the GW approximation47 is most widely used for bulk simulations. Unfortunately, GW calculations are still expensive computationally. Therefore, a low-cost alternative to GW approximation that offers good accuracy for the prediction of quasiparticle energies is critical to the calculations of large-scale systems, and for efficient high throughput study of materials.

Kohn-Sham (KS) density functional theory (DFT),810 due to its good balance between accuracy and computational tractability, is among the most popular and versatile methods available for many-electron problems. In addition to the total electron energy, the physical interpretation of the KS eigenvalues has also attracted great interest. It has been known for decades that among the KS eigenvalues obtained from the exact functional, the highest occupied molecular orbital (HOMO) energy, εHOMO, is negative vertical ionization potential (VIP), −I.1017 In 2008, it was rigorously proven18,19 that within the generalized KS (GKS) theory, which includes KS theory as a special case, the HOMO/LUMO energy is the chemical potential, (EN)v, for electron removal/addition from the DFAs for any DFA that is a differentiable functional of the non-interacting one-electron density matrix in case of GKS or the density in case of KS, and consequently approximation to −I/A following the Perdew-Parr-Levy-Balduz (PPLB) condition.11,2022 Accurate approximation of −I/A can thus be expected from the HOMO/LUMO energy of DFAs with minimum delocalization error.23 Therefore, the fundamental gap defined as IA can be exactly obtained from the chemical potential difference, that is, the GKS HOMO-LUMO gap.

In addition to HOMO and LUMO, the physical meaning of other GKS eigenvalues also has great theoretical significance and application value. Of particular interest is the connection between the GKS spectrum and the quasiparticle spectrum. Unfortunately, no clear connection has been established, although there have been many attempts to approximately attach some meanings to the occupied orbital energies within the KS theory. It has been argued that the orbital energies below εHOMO can be interpreted as other approximate principle (sometimes called relaxed) VIPs, i.e., the ionized system being in an excited state.24,25 Recently, it has been argued that the correct occupied KS orbital energies should correspond to the exact principle VIPs using the linear response time-dependent density functional theory (LR-TDDFT) under the adiabatic approximation.2628 However, it has been shown that the adiabatic approximation within TDDFT is not generally valid.29

Even though no theorem has been rigorously established to link the remaining GKS orbital energies to quasiparticle energies, it is still beneficial for practical applications to construct a good density functional approximation (DFA) that can accurately predict quasiparticle energies from orbital energies. For commonly used DFAs, such as local density approximations (LDAs), generalized gradient approximations (GGAs) and hybrid GGAs, their HOMO and LUMO energies are the corresponding chemical potentials but have large systematic error in predicting −I/A.18,23 In particular, the HOMO energy is significantly overestimated, which leads to underestimation of I; while the LUMO energy is severely underestimated, so that A is overestimated. Hence, the fundamental gap is significantly underestimated by HOMO-LUMO gap of common DFAs. From the fractional charge perspective, this failure has been attributed18,23 to the violation of the PPLB condition11,2022 which requires the total energy, as a function of electron number, to be piecewise straight lines interpolating between adjacent integer points. And the convex deviation suffered by commonly used DFAs was identified as the delocalization error inherent in approximate functionals.23,30,31 Other occupied and unoccupied orbitals follow the same trend as HOMO and LUMO, respectively. Typically, energies of occupied orbitals (including HOMO) have been seriously overestimated when serving as approximations to electron removal energies, so that they cannot qualitatively reproduce experimental photoemission spectrum. It is thus reasonable to believe that other orbitals should suffer similarly from the delocalization error of approximate functionals.

Following the perspective of fractional charges, there have been many attempts focusing on removing delocalization error in approximate functionals. MCY332 was the first DFA constructed to restore the PPLB condition; long-range corrected (LC) functionals3336 and doubly hybrid functionals3739 show some promise on reproducing linear fractional charge behavior; tuned range-separated hybrid functionals4042 impose extra constraints on orbital energies from total energy difference by optimizing the range-separation parameter for each system. All these functionals show significantly improvement on the calculations of HOMO and LUMO energies for small molecules. Extension to large and bulk systems lead to various issues. To achieve systematic elimination of the delocalization error associated with commonly used DFAs, recently developed localized orbital scaling correction (LOSC) functional43 introduces a set of auxiliary localized orbitals (LOs), or orbitalets, and imposes PPLB condition on each of the LOs. As a result, LOSC can achieve size-consistent corrections to both the total energy and orbital energies.

Methods

To demonstrate that orbital energies ε(N) of LOSC can give accurate approximation to quasiparticle/quasihole energies ω+/ (N) for an N-electron system, for the description of electron addition/removal, i.e.

εm(N)ωm+(N)=Em(N+1)E0(N),εn(N)ωn(N)=E0(N)En(N1), (1)

we have already applied LOSC to generate accurate LUMO and HOMO energies for a broad range of atoms and molecules.43 In Eq. 1, εm(N)/εn(N) is a virtual/occupied GKS orbital energy for the N-electron system. The performance of LOSC for HOMO/LUMO and other GKS orbital energies will be examined extensively in present work.

Furthermore, Eq. 1 allows the calculation of excitation energies ΔEm(N) at the cost of a ground-state DFT calculation via the particle part, relating to electron affinities (EAs), of the quasiparticle spectrum of the (N − 1) system, i.e.

ΔEm(N)=Em(N)E0(N)=[Em(N)E0(N1)][E0(N)E0(N1)]=ωm+(N1)ωmin+(N1)εm(N1)εLUMO(N1), (2)

where Em(N) corresponds to the mth excitation of the N-electron system, and E0(N − 1) is the ground-state energy of (N − 1)-electron system. E0(N) − E0(N − 1) is -A of the (N − 1) system and can be obtained from ωmin+(N1), the minimum of particle part of the quasiparticle spectrum, and approximated as εLUMO(N − 1), the LUMO energy of the DFA calculation for the (N − 1) system. The excitation energy ΔEm(N) can thus be obtained as the virtual orbital energy difference εm(N −1)−εLUMO(N −1) from a ground-state self-consistent field (SCF) calculation on (N − 1)-electron system. In addition, Eq. 2 describes the excitations from HOMO to unoccupied orbitals (LUMO and above LUMO), due to the fact that N-electron system is retrieved by adding one electron to the virtual orbitals of a ground state (N − 1)-electron system. Besides calculation from (N − 1)-electron system, excitation energies can also be calculated similarly via the hole part, relating to ionization potentials (IPs), of the quasiparticle spectrum of the (N + 1) system, i.e.

ΔEn(N)=En(N)E0(N)=[E0(N+1)E0(N)][E0(N+1)En(N)]=ωmax(N+1)ωn(N+1)εHOMO(N+1)εn(N+1), (3)

where E0(N +1)−E0(N) is −I of the (N +1) system and can be obtained from ωmax(N+1), the maximum of the hole part in the quasiparticle spectrum, and approximated as εHOMO(N + 1), the HOMO energy of the DFA calculation for the (N + 1) system. The excitation energies can thus be obtained as occupied orbital energy differences εHOMO(N + 1) − εn(N + 1) from a ground-state SCF calculation on (N + 1)-electron system. Being different from the approach of (N − 1)-electron calculation, Eq. 3 describes the excitations from occupied orbitals (HOMO and HOMO below) to LUMO, since the N-electron system is retrieved by removing one electron from the occupied orbitals of a ground state (N + 1)-electron system.

Many theoretical approaches have been developed to calculate excitation energies. High-level methods, including equation-of-motion coupled cluster (EOM-CC),4446 linear-response coupled cluster (LR-CC),4750 multireference configuration interaction (MRCI),51,52 complete active space configuration interaction (CASCI),5355 CASPT256,57 and others, can produce accurate results, but significantly limited in system size and complexity. Other computationally efficient methods, such as configuration interaction singles (CIS),58,59 time dependent DFT (TDDFT)60 and ΔSCF61 have been well-known to describe excitation energies with success, meanwhile they have important weakness. Particularly, CIS can overestimate excitation energy by 2 eV.59 TDDFT59,62 and ΔSCF method6370 typically yield results with good accuracy, but TDDFT faces challenges to describe double,63,71,72 Rydberg7376 and charge transfer excitations7779 with conventional DFAs. In contrast, Eqs. 2 and 3 provide the simplest way to calculate excitation energies, with which various excitation energies can be obtained after the corresponding ground-state SCF calculation. Obviously, the accuracy of excitation energies from Eqs. 2 and 3 depends on the quality of DFA orbital energies, as approximation to the quasiparticle energies.

Next, we will show the test results of approximating quasiparticle energies (Eq. 1) and excitation energies (Eqs. 2/3) by different DFAs and LOSC-DFAs. For the test of quasiparticle energies, we compare IPs (the hole part of the quasiparticle spectrum) with occupied orbital energies, as well as EA with LUMO energy. Other EAs from the particle part of the quasiparticle spectrum are not tested in present work, as experimental data or accurate computational data is not available for comparison, and the calculation of these EAs is very demanding on the basic functions (much harder to calculate than the EA from LUMO energy). For the test of quasiparticle energies, 40 molecules with conjugated system (up to large system like C60) were selected from Blase’s80 and Marom’s81 test set to calculate photoemission spectrum, HOMO and LUMO energies. Polyacenes (n=1–6), water, ethylene and thiophene are used to study the valence orbital energies as approximation to the corresponding quasiparticle energies. For the test of excitation energies, 16 molecules are obtained from Ref 82 as a molecular set to test the low-lying excitation energies. Four atoms (Li, Be, Mg, and Na) are selected as an atomic set to test their excitation energies up to Rydberg states. The QM4D package83 was used to perform the DFT calculations. Several conventional functionals, such as local density approximation (LDA),84,85 PBE,86 BLYP87,88 and B3LYP,8789 and LOSC-DFAs were tested. For LOSC calculations, the post-SCF procedure was applied. More details of computations and test results can be found in SI.

Results & Discussion

First, HOMO and LUMO energies of different DFAs and LOSC-DFAs are compared. Table 1 summarizes mean absolute errors (MAEs) of orbital energies in comparison with experimental quasiparticle energies, where self-consistent GW (scGW)5,7 and G0W04,5 results are also included for comparison. Previousely, it has been shown that LOSC can size-consistently improve HOMO and LUMO energies on systems range from small sized molecules to polymers.43 Here, we further calculated a set of 40 organic molecules, where the molecular size is much larger than that of the G2–97 set tested before. Due to the serious delocalization error,18,23 LDA and PBE show systematic underestimation of VIPs and overestimation of VEAs, with MAEs larger than 2.0 eV; hybrid functional B3LYP performs slightly better with a 20% reduction in error, but the results still qualitatively deviate from the experiment. LOSC-DFAs significantly improve both HOMO and LUMO energies, with MAEs much smaller than their parent DFAs. In particular, MAEs of LOSC-B3LYP are smaller than 0.3 eV. It is also interesting to compare LOSC with the well-recognized scGW and G0W0 methods. We find that LOSC can achieve better accuracy than scGW and G0W0 methods for HOMO and LUMO energy calculations. Our results also show that starting from the same reference DFA (PBE), LOSC (MAE of HOMO 0.37 eV and of LUMO 0.33 eV) outperforms the G0W0 (MAE of HOMO 0.51 eV and of LUMO 0.37 eV). It is well-known that the G0W0 calculation is significantly influenced by the reference DFAs. In contrast, LOSC can provide similar accuracy based on different parent DFAs, including hybrid functionals.

Table 1:

Mean absolute errors (MAEs, in eV) of orbital energies compared with experimental quasi-particle energies. Experimental reference were obtained from Ref. 80,81.

HOMO a LUMO a Valence b
scGW c 0.47 0.34 -
G0W0@PBE c 0.51 0.37 -
LOSC-LDA 0.34 0.48 0.69 (0.53)
LOSC-PBE 0.37 0.33 0.60 (0.35)
LOSC-B3LYP 0.26 0.29 0.43 (0.36)
LDA 2.58 2.43 3.06 (2.33)
PBE 2.81 2.16 3.23 (2.55)
B3LYP 2.00 1.57 2.24 (1.79)
Δ-DFA d 0.43 0.26 0.70 (0.73)
Δ-LOSC-DFA d 0.34 0.38 0.41 (0.26)
a

40 molecules are chosen from Refs. 80 and 81 for the calculation of HOMO and LUMO energies. The size of these molecules ranges from small aromatic ring, like thiophene, to large conjugated system, like C60. These molecules are thiophene, benzothiadiazole, benzothiazole, fluorene, H2P, H2PC, H2TPP, PTCDA, thiadiazole, benzoquinone, Cl4-isobenzofuranedione, dichlone, F4-benzoquinone, maleicanhydride, nitrobenzene, phenazine, phthalimide, TCNE, benzonitrile, Cl4-benzoquinone, dinitrobenzonitrile, F4-benzenedicarbonitrile, fumaronitrile, mDCNB, NDCA,nitrobenzonitrile, phthalic anhydride, TCNQ, acridine, azulene, bodipy, naphthalenedione, C60, C70, and polyacenes (n = 1 – 6).

b

Overall, 51 valence orbital energies, from HOMO to orbitals below HOMO in order, are calculated for polyacenes (n = 1 – 6), water, ethylene and thiophene, and compared with the available experimental IPs. Numbers shown in the parenthesis are the MAE of polyacenes, which is listed as well to verify the size-consistency.

c

GW results were taken from Ref 81.

d

PBE functional was used in HOMO and LUMO calculation. BLYP functional was used in valence orbital results.

Besides HOMO and LUMO, Table 1 also summarizes the valence orbital energies from DFAs and LOSC-DFAs. Similarly, we notice that the orbital energies from commonly used DFAs show serious deviation from the experimental reference (above 2 eV MAE), while LOSC-DFAs can largely reduce the error (0.43 – 0.69 eV). Moreover, we also observe from Table 1 that LOSC gives slightly larger absolute error when comparing valence orbital energies with HOMO/LUMO energies. Since valence orbitals are much larger (up to 20 eV) than HOMO and LUMO (mostly below 10 eV) energies, making larger correction from LOSC desired, it is more difficult to achieve the same level of accuracy for valence orbital energies. This fact suggests that further development of LOSC is still needed for better valence orbital energies. Besides Table 1, the largely reduced error for valence orbital energies by LOSC can be clearly seen from Figure 1(a) and Figure 1(b): valence orbital energies of B3LYP significantly overestimate quasiparticle energies; with LOSC, the systematic error is eliminated. By further observing Figure 1(b), we find that the overestimation of quasiparticle energies by B3LYP becomes more serious for states with lower energies, which is corrected in LOSC-B3LYP. In addition, the results of polyacenes (n=1–6), of which the chain length keeps increasing, are shown in Table 1 to study the performance of size-consistency. It clear shows that MAEs of valence orbital energies from LOSC-DFAs maintain at low level, meanwhile the MAE of results from Δ-LOSC-BLYP (0.26 eV) is much better than Δ-BLYP (0.73 eV). Therefore, it supports that LOSC can size-consistently correct the valence orbital energies, as well as the total energy of high level states calculated in ΔSCF approach.

Figure 1:

Figure 1:

Calculated εj of B3LYP and LOSC-B3LYP in comparison with the experimental Ivj. (a) Orbital energies εj for 43 states below HOMO are included. The solid line indicates εj=Ivj. (b) The errors of calculated orbital energies with respect to the experimental negative VIPs, Δϵj=ϵj+Ivj, are recorded.

To further confirm that LOSC is a reliable method for the calculation of quasiparticle energies, GKS spectra of forty systems were plotted and compared to the experimental photoemission spectra, along with GW results when available. Figure 2 only show the results of azulene and benzonitrile; tests on other molecules give similar results, which can be found in SI. As can be seen, commonly used DFAs exemplified by PBE and B3LYP give too narrow HOMO-LUMO gaps, with the occupied levels being significantly overestimated and LUMO energy being underestimated. LOSC greatly corrects the results. Furthermore, spectra by LOSC-DFAs are consistent with the experimental photoemission spectra, with the principle peaks appearing at the same positions. Overall, LOSC shows little dependence on parent DFAs, and can reach an accuracy that is comparable to that of GW methods in predicting quasiparticle spectra. Note that, although there existed some approaches in GW methods to reduce the computational scaling, such as stochastic GW,92,93 the GW calculation is still computationally expensive in general. From LOSC-DFAs calculation, the computational cost of LOSC only amounts to a small portion of the parent functional, thus maintaining it at the DFT calculation level. Therefore, LOSC-DFAs are a promising low-cost alternative to GW approximation for accurate prediction of quasiparticle energies.

Figure 2:

Figure 2:

Photoemission spectrum of (a) azulene and (b) benzonitrile. Experimental results are obtained from (a) Ref 90 and (b) Ref 91. The rightmost peak in the experimental spectrum corresponds to the electron affinity (EA), and it is broadened by a Gaussian function with a width of 0.2 eV around experimental EA value. The calculated spectrum from DFT are broadened from orbital energies (occupied orbitals and LUMO) by the same type of Gaussian functions. scGW and G0W0 results are obtained from Ref 81.

Accurate prediction of quasiparticle energies by LOSC-DFAs thus allows the calculation of excitation energies from ground state DFT calculation through Eqs. 2 and 3. However, calculation of anionic molecule (N + 1-electron system) normally requires good choice of diffused basis set,94 making results from (N + 1)-electron system calculation dependent on the quality of applied basis set. A reasonable basis set for (N−1)-electron system calculations like cc-pVTZ can be too small for (N +1)-electron system calculations, yielding an unbound electron. Due to this effect, the orbital energies, especially HOMO, of (N+1)-electron system are not reliable and lead to poor HOMO-LUMO excitation energies compared with (N −1)electron system calculation. Although one can use a large basis set to perform reasonable (N + 1)-electron system calculations, this is not computationally economical. Considering these aspects, we mainly focus on discussing the excitation energies calculated from (N −1)electron systems in the main text; some results from (N+1)-electron systems can be found in SI. For the excitations of HOMO to orbitals above HOMO, starting from the doublet ground state of (N −1)-electron systems (assuming one more α-spin electron than β-spin electrons), there are two orbital energies of different spins for each orbital above HOMO. Apparently, α-spin orbital energies should be used for triplet excitations. For singlet excitations, a spin purification process similar to Refs. 61 and 69 is used here, and the excitation energies are calculated by

ΔEmsinglet(N)[2εmβ(N1)εmα(N1)]εHOMOβ(N1). (4)

The results of 48 low-lying excitation energies obtained from different DFAs and LOSC-DFAs are summarized in Table 2, where triplet and singlet excitations are categorized and presented. The results from Hartree Fock (HF), TDDFT and ΔSCF-DFT with B3LYP functional are also listed for comparison. As expected, LOSC-DFAs can provides good prediction for excitation energies due to their excellent performance on quasiparticle energies. Especially, the total MAE and MSE of LOSC-B3LYP are 0.49 eV and −0.19 eV, which are comparable to TDDFT (MAE of 0.38 eV and MSE of −0.37 eV) and ΔSCF-DFT (MAE of 0.35 eV and MSE of −0.31 eV, based on the same reference DFA (B3LYP). For conventional DFAs, it is surprising to find that they have very good performance on predicting low-lying excitation energies, even though they perform poorly in quasiparticle energy calculations. These good results should be attributed to the fact that unoccupied (or occupied) orbitals that are energetically close suffer from a similar amount of systematic delocalization error, making the error cancellation when calculating excitation energies from the difference of orbital energies. This can be seen clearly by comparing their performance on the T1 (HOMO-LUMO excitation) and T2 (HOMO-(LUMO+1) excitation). Conventional DFAs tested here perform very well on T1 excitation (MAEs are around 0.2 eV), but their performance on T2 excitation is much worse (MAEs can be larger than 0.6 eV). In contrast, LOSC-DFAs are consistent in their performance for these two types of excitations. Thus, it can be inferred that for a DFT method to achieve good accuracy for the prediction of excitation energies of low- to high-lying states, it is necessary to provide consistently reliable quasiparticle energies for all different states involved.

Table 2:

Mean absolute errors (MAEs, in eV) and mean sign errors (MSEs, in eV) of 48 low-lying excitation energies obtained from HF, DFT, TDDFT and ΔSCF-B3LYP calculation on 16 molecules. Notation T1 refers to triplet HOMO to LUMO excitation, and T2 refers to triplet HOMO to LUMO+1 excitation. The analogy notation for S1 and S2 which stand for singlet excitations. Reference data were obtained from Ref 95.

Method T1 T2 S1 S2 Total
MAE MSE MAE MSE MAE MSE MAE MSE MAE MSE
HF 1.08 −0.88 2.04 −1.23 1.12 −0.59 1.49 0.81 1.35 −0.83
BLYP 0.19 −0.14 0.63 −0.10 0.68 −0.65 0.65 −0.24 0.53 −0.22
B3LYP 0.17 −0.13 0.43 0.01 0.45 −0.33 0.67 −0.58 0.42 −0.01
LDA 0.24 −0.02 0.65 0.04 0.73 −0.68 0.70 −0.27 0.58 −0.16
LOSC-BLYP 0.49 −0.28 0.46 −0.37 0.84 −0.84 0.62 0.10 0.63 −0.44
LOSC-B3LYP 0.30 −0.23 0.28 −0.14 0.60 −0.51 0.69 −0.29 0.49 −0.19
LOSC-LDA 0.48 −0.18 0.52 −0.27 0.88 −0.88 0.71 0.11 0.67 −0.42
TD-B3LYP 0.45 −0.45 0.39 −0.39 0.38 −0.35 0.28 0.27 0.38 −0.37
Δ-SCF 0.20 −0.16 0.33 −0.24 0.56 −0.56 0.18 0.04 0.35 −0.31

To further confirm the above inference, we chose four atoms (Li, Be, Mg, and Na) to test their excitation energies up to Rydberg states. Such choice of atomic set is due to the availablity of their experimental references and clear picture of Rydberg states from atoms, in which one electron is excited to a high-level atomic orbital. Table 3 summarizes the MAEs from different DFAs and LOSC-DFAs applied to this atomic test set, more detailed results can be found in SI. As can be seen, conventional DFAs show large MAEs for all the four atoms. By observing Tabs. S7 to S12 for these test atoms in SI, it is easy to find that the higher the excited states, the greater the deviation between the results obtained by DFAs and the experimental values. This is because conventional DFAs show larger errors for quasiparticle energies at higher states, thus the difference of orbital energies cannot completely offset the systematic delocalization errors of orbitals that are energetically far apart. In contrast, LOSC-DFAs perform similarly for different excited states with very high accuracy, which should be attributed to the good performance of LOSC on quasiparticle energies of different states.

Table 3:

Mean absolute errors (MAEs, in eV) and mean sign errors (MSEs, in eV) with respect to experimental reference of excitation energies of 4 atoms from low-lying states to Rydberg states. 12 excitations were included for each atom. Experimental values were obtained from Ref 96.

LDA BLYP B3LYP LOSC-LDA LOSC-BLYP LOSC-B3LYP
Be singleta MAE 2.37 1.15 1.85 0.24 0.54 0.35
MSE 2.37 −1.15 1.85 0.07 −0.29 −0.06
Be tripleta MAE 2.30 1.91 1.79 0.28 0.60 0.30
MSE 2.11 1.68 1.79 −0.04 −0.60 −0.29
Mg singletb MAE 2.37 2.07 1.69 0.55 0.26 0.21
MSE 2.37 2.07 1.69 0.55 0.16 0.21
Mg tripletb MAE 2.13 1.82 1.54 0.40 0.15 0.14
MSE 2.12 1.80 1.52 0.34 −0.11 0.06

Li doubleta MAE 0.97 1.77 1.40 0.91 0.17 0.16
MSE 0.97 1.77 1.40 −0.89 0.04 −0.03
Na doubletb MAE 1.52 2.16 1.69 0.25 0.57 0.42
MSE 1.52 2.16 1.69 −0.11 0.57 0.42
a

The excitation states are calculated up to atomic orbital 6p.

b

The excitation states are calculated up to atomic orbital 7p.

Conclusions

In conclusion, we have carried out a comprehensive test on calculations of quasiparticle energies and excitation energies with the LOSC functional and DFAs. Through a large number of comparisons with experimental results and GW results, we demonstrated that LOSC-DFAs shows little dependence on parent DFAs, and can reach an accuracy that is better or comparable to that of GW methods in predicting quasiparticle spectra. This also leads to the calculations of excitation energies of the N-electron systems from ground state calculations of the (N −1)-electron systems. Commonly used DFAs show good performance for valence excitations, but not accurate for higher energy and Rydberg states; in contrast, LOSC-DFAs can provide consistently accurate results for excitation energies from low-lying to Rydberg states for the tested cases. This work highlights the pathway to quasiparticle and excitation energies from ground density functional calculations.

Note. When preparing the manuscript for submission, we became aware of Ref. 97, which also calculated excitation energies from orbital energy differences of the (N − 1)-electron systems. Different functionals from our tests and only valence excitations were reported.

Supplementary Material

SI

Acknowledgement

Support from the National Institutes of Health (Grant No. R01 GM061870-13) (WY), the Center for Computational Design of Functional Layered Materials (Award DE-SC0012575), an Energy Frontier Research Center funded by the US Department of Energy, Office of Science, Basic Energy Sciences. (YM, NQS), and the National Science Foundation (CHE-1362927) (CL) is appreciated. The authors were grateful to Dr. Noa Marom for providing detailed data from Ref. 81.

Footnotes

Supporting Information Available

• SI.pdf: More details of computations and test results.

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