Skip to main content
The Journal of Chemical Physics logoLink to The Journal of Chemical Physics
. 2012 Mar 27;136(12):124107. doi: 10.1063/1.3696967

The implementation of a self-consistent constricted variational density functional theory for the description of excited states

Tom Ziegler 1,a), Mykhaylo Krykunov 1, John Cullen 2
PMCID: PMC3327271  PMID: 22462835

Abstract

We present here the implementation of a self-consistent approach to the calculation of excitation energies within regular Kohn-Sham density functional theory. The method is based on the n-order constricted variational density functional theory (CV(n)-DFT) [T. Ziegler, M. Seth, M. Krykunov, J. Autschbach, and F. Wang, J. Chem. Phys. 130, 154102 (2009)]10.1063/1.3114988 and its self-consistent formulation (SCF-CV(∞)-DFT) [J. Cullen, M. Krykunov, and T. Ziegler, Chem. Phys. 391, 11 (2011)]10.1016/j.chemphys.2011.05.021. A full account is given of the way in which SCF-CV(∞)-DFT is implemented. The SCF-CV(∞)-DFT scheme is further applied to transitions from occupied π orbitals to virtual π* orbitals. The same series of transitions has been studied previously by high-level ab initio methods. We compare here the performance of SCF-CV(∞)-DFT to that of time dependent density functional theory (TD-DFT), CV(n)-DFT and ΔSCF-DFT, with the ab initio results as a benchmark standard. It is finally demonstrated how adiabatic TD-DFT and ΔSCF-DFT are related through different approximations to SCF-CV(∞)-DFT.

INTRODUCTION

We have recently introduced a variational density functional theory (DFT) scheme for the description of excited states. The new method was based on an n-order constricted variation theory approach (CV(∞)-DFT).1 Lately, the same method was given a self-consistent formulation and extended to all orders (SCF-CV(∞)-DFT).2 The current account provides a full description of the way in which SCF-CV(∞)-DFT is implemented. We apply further SCF-CV(∞)-DFT to a series (T1) of transitions from occupied π orbitals to virtual π* orbitals. This series has previously been studied3 by an iterative approximate coupled cluster singles, doubles, and triples model, CC3.4 We compare here the performance of SCF-CV(∞)-DFT for T1 with other DFT methods,5 employing ab initio results3 as the benchmark reference. It is finally discussed how popular DFT based methods applied in the study of excited states such as adiabatic time dependent density functional theory (TD-DFT (Refs. 6, 7, 8)) and ΔΔSCF-DFT (Refs. 9, 10, 11, 12, 13, 14, 15, 16) are related through different approximations to SCF-CV(∞)-DFT.

COMPUTATIONAL DETAILS

All calculations were based on DFT as implemented in the Amsterdam Density Functional (ADF) version 2010.17 Our calculations employed a standard triple-ζ Slater type orbital (STO) basis with one set of polarization functions for all atoms.18 Use was made of the local density approximation (LDA) in the VWN parametrization19 as well as the B3LYP and BHLYP exchange hybrid functionals by Becke20 with the correlation functional taken from Lee et al.21 All electrons were considered as valence. The accuracy integration parameter (ACINT) for the precision of the numerical integration was set to 5.0. Use was made of a special auxiliary STO basis to fit the electron density in each cycle for an accurate representation of the exchange and Coulomb potentials. The Cartesian coordinates of the 20 (π → π*) benchmark transitions were taken from the supporting information of Ref. 3. The ground-state geometries of these molecules were optimized at the MP2/6-31G* level of theory.3

CONSTRICTED VARIATIONAL DFT

Generation of excited state orbitals

In the constricted variational density functional theory, CV(n)-DFT, we construct excited state KS-orbitals by performing a unitary transformation2 among occupied22i; i = 1, occ} and virtual {ψa; a = 1, vir} ground state orbitals

Yψoccψvir=eUψoccψvir=m=0Umm!ψoccψvir=ψoccψvir, (1)

to m = n.

Here ψocc and ψvir are concatenated column vectors containing the sets of occupied {ψi; i = 1, occ} and virtual {ψa; a = 1, vir} ground state (reference) KS-orbitals. The resulting ψocc and ψvirare concatenated column vectors which contain the sets {ψi;i=1,occ} and {ψa;a=1,vir} of occupied and virtual excited state orbitals, respectively. The unitary transformation matrix Y is in Eq. 1 expressed in terms of a skew symmetric matrix U as

Y=eU=I+U+U22+=m=0Umm!=n=0(U2)m2m!+Un=0(U2)m(2m+1)!. (2)

Here Uij = Uab = 0 where “i,j ” refer to the occupied set {ψi; i = 1, occ} whereas “a,b” refer to {ψa; a = 1, vir}. Further, Uai are the variational mixing matrix elements that combine virtual and occupied ground state (reference) orbitals in the excited state with Uai = −Uia. Thus, the entire matrix U is made up of occ × vir independent elements Uai. We shall on occasion also consider U as column vector where the index (ai) now runs over pairs of virtual and occupied orbitals. For a given U we can by the help of Eq. 2 generate a set of “occupied” excited state orbitals

ψi=pocc+virYpiψp=joccYjiψj+avirYaiψa, (3)

that are orthonormal to order n in Uai. To second order in U the excited state occupied orbitals are given by1

ψi=ψi+avirUaiψa12joccavirUaiUajψj. (4)

On the other hand, to infinite order in U the occupied excited state orbitals take on the form2

ψj=cos[ηγj]φjo+sin[ηγj]φjv;j=1,occ. (5)

Here γj is defined through the equations

(Vvir+UVocc)pq=γpδpq;p=1,occ,q=1,occ, (6)
(Vvir+UVocc)pq=0;p=occ+1,vir,q=1,occ, (7)

where Vvir and Vocc are two matrices that transforms U into the new matrix T according to T=Vvir+UVocc with Tpq = 0 for all non-diagonal elements whereas Tpp = γpp for the occ × occ diagonal elements. Vocc is23 the matrix that diagonalizes Djkocc=(U+U)jk whereas Vvir diagonalizes Dbcvir=(UU+)bc. The pairφjo, φjv that defines ψj in Eq. 5 are the set of corresponding orbitals introduced by Amos and Hall23 and given by

φio=jVoccjiψji=1,occ, (8)
φiv=avirVviraiψai=1,occ, (9)

where ajVviria+UajVoccji=γi for i = 1, occ. Thus in the corresponding orbital representation23 only one occupied ground state orbital φjo mixes with one corresponding virtual ground state orbital φjv for each occupied excited state orbital φj. We shall now turn to a discussion of how to determine the variational parameters in U.

Determination of U for CV(2)-DFT

In the simple CV(2)-DFT theory1 the unitary transformation 1 is carried out to second order in U. We thus obtain the occupied excited state orbitals to second order 4 from which we can generate the excited state Kohn-Sham density ρ(1, 1) and spin-density s(1, 1) matrices to second order.24, 25

The expressions24, 25 for ρ(1, 1) and s(1, 1) make it next possible to write down the corresponding excited state Kohn-Sham energy to second order assuming at the moment real orbitals and U matrix elements. For spin conserving transitions26 the density matrix is given by25

ρ(1,1)=ρ(0)(1,1)+Δρ(1,1)=ρ(0)(1,1)+ioccavirUaiψa(1)ψi(1)+ioccavirUaiψa(1)ψi(1)+ioccavirbvirUaiUbiψa(1)ψb(1)ioccjoccavirUaiUajψi(1)ψj(1), (10)

whereas the excited state energy takes on the form25

E KS [ρ(1,1)]=E KS [ρ0]+aibjUaiUbjAai,bj+aibjUaiUbjBai,bj+O[U(3)], (11a)

where

Aai,bj=δabδij(ɛaɛi)+Kai,bj;Bai,bj=Kai,jb. (11b)

Here EKS0] is the ground state energy and “a,b” run over virtual ground state canonical orbitals whereas “i,j ” run over occupied ground state canonical orbitals, all of the same spin. Further Kai,bj=Kai,bjC+Kai,bjXC where

Kai,bjC=ψa*(1)ψi(1)1r12ψb(2)ψj*(2)dv1dv2, (12)

whereas

Kai,bjXC( HF )=ψa*(1)ψi*(1)1r12ψb(2)ψj(2)dv1dv2, (13)

for Hartree Fock exchange correlation and

Kai,bjXC( DFT )=ψa*(1)ψi(1)[f(+,+)(ρ0)]ψb(1)ψj*(1)dv1, (14)

for spin conserving transitions (ia; jb) among orbitals of α spin and

Kai,bjXC( DFT )=ψa*(1)ψi(1)[f(,)(ρ0)]ψb(1)ψj*(1)dv1, (15)

for spin conserving transitions (ia; jb) among orbitals of β spin.

Here the kernel fσ, τ is defined as the second order functional derivative of EXC

fσ,τ(ρ+,ρ)0=δ2EXCδρσδρτ0σ=+,;τ=+,, (16)

where ρ+ = 1/2ρ + 1/2s and ρ = 1/2ρ − 1/2s. Further ρ is the density and s the corresponding spin-density.

For spin-flip excitations (ia; jb) where the occupied (i,j) and virtual (a,b) orbitals are of different spin, the energy expression for the excited state is similar27 to that of (11) except that

Kai,bjXC( DFT )=12ψa(1)ψi(1)[f0+,++f0,2f0+,]ψb(1)ψj(1)dv1;Kai,bjC=0, (17)

where the expressions in Eq. 17 have been derived from non-collinear exchange-correlation theory.28, 29, 30

In CV(2)-DFT (Ref. 1) we seek points on the energy surface EKS] such that ΔEKS[Δρ] = EKS] − EKS0] represents a transition energy. Obviously, a direct optimization of ΔEKS[Δρ] without constraints will result in ΔEKS[Δρ] = 0 and U = 0. We1 now introduce the constraint that the electron excitation must represent a change in density Δρ where one electron in Eq. 10 is transferred from the occupied space represented by Δρocc=ijaUaiUaj*ψi(1)ψj*(1) to the virtual space represented by Δρvir=iabUaiUbi*ψa(1)ψb*(1). An integration of Δρocc and Δρvir over all space affords Δqocc=Δqvir=aiUaiUai*. We shall thus introduce the constraint aiUaiUai*=1. Constructing next the Lagrangian L=E KS [ρ]+λ(1aiUaiUai*) with λ being a Lagrange multiplier and demanding that L be stationary to any real variation in U results in the eigenvalue equation

(A KS +B KS )U(I)=λ(I)U(I), (18)

where U(I) is the eigenvector for excited state I. We can now from Eq. 18 determine the sets of mixing coefficients {U(I); I = 1, occ × vir} that make L stationary and represent excited states. The corresponding excitation energies are given byλ(I). This can be seen by multiplying on both sides of Eq. 18 with U(I) + and making use of the constraint and normalization condition U(I) +U(I) = 1.

Within the Tamm-Dancoff approximation,31 Eq. 18 reduces to

A KS U(I)=λ(I)U(I), (19)

which is identical in form to the equation one obtains from TDDFT in its adiabatic formulation6, 7, 8, 9, 10 after applying the same Tamm-Dancoff31 approximation.

Excitation energies for SCF − CV(∞) − DFT

From the occupied excited state orbitals of Eq. 15 we can express the electron (ρ(∞))32 and spin (s(∞))32 density matrices as well as ρ+(∞) = 1/2ρ(∞) + 1/2s(∞) andρ−(∞) = 1/2ρ(∞) − 1/2s(∞). Starting with a spin-conserving transition, we can without loss of generality assume that it takes place between orbitals of α-spin. Thus, for such a spin conserving transition the excited state orbitals32a{ψiαψiα=cos[ηαγjα],φjoα+sin[ηαγjα]φjvα;j=1,occ/2} are obtained by a unitary transformation to all orders involving the part of the U matrix (Uαα) that according to Eq. 1 mixes occupied ground state orbitals of α-spin with virtual ground state orbitals of α-spin. We can now write2, 32a the change in density within the α manifold due to the excitation as

Δρα()(1,1)=jocc/2sin2[ηαγjα]×φjvα(1)φjvα(1)φjoα(1)φjoα(1)+jocc/2sinηαγjαcosηαγjα×φjvα(1)φjoα(1)+φjvα(1)φjoα(1). (20a)

In Eq. 20a the scaling factor ηα is introduced to ensure that Δρα(∞)(1, 1) represents the transfer of a single electron from the occupied orbital space density jocc/2sin2[ηαγjα]φjoα(1)φjoα(1) to the virtual orbital space density jocc/2sin2[ηαγjα]φjvα(1)φjvα(1) or

j(α)occsin2[ηαγjα]=1. (20b)

Here the constraint of Eq. 20b is a generalization of the corresponding second order constraint aiUaiUai*=1 used to derive Eqs. 18, 19.

The electron (ρ(∞)) (Refs. 32, 33) and spin (s(∞)) (Ref. 32) density matrices as well as ρ+(∞) = 1/2ρ(∞) + 1/2s(∞) = ρ+, 0 + Δρ+(∞) and ρ−(∞) = 1/2ρ(∞) − 1/2s(∞) = ρ−, 0 + Δρ−(∞) allow us next to express the excitation energies32b as

ΔE()=E KS [ρ+(),ρ()]E KS [ρ+,0,ρ,0]=F KS +ρ+,0+12Δρ+(),ρ,0+12Δρ()Δρ+()dv1+F KS ρ+,0+12Δρ+(),ρ,0+12Δρ()Δρ()dv1+O[3](Δρ+(),Δρ()), (21)

where for a closed shell ground state molecule with the density ρ0, we have ρ+, 0 = ρ−, 0 = ρ0/2. Here Eq. 21 is derived by Taylor expanding34EKS+(∞), ρ−(∞)] and EKS+, 0, ρ−, 0] from the intermediate point (ρ+, T, ρ−, T) = (ρ+, 0 + 1/2Δρ+(∞), ρ−, 0 + 1/2Δρ−(∞)). Further F KS σ[ρ+,0+1/2Δρ+(),ρ,0+1/2Δρ())](σ=+,) are the Kohn-Sham Fock operators defined with respect to the intermediate point. The expression in Eq. 21 is exact to third order in Δρ+(∞), Δρ−(∞), which is usually enough.34 However, its accuracy can be extended to any desired order.34

We get for a spin conserving transition the excitation energy32b, 35

ΔE()=E KS [ρ0+Δρ()]E KS [ρ0]=jocc/2sin2ηαγjαFjoαjoα KS ,T+jocc/2sin2ηαγjαFjvαjvα KS ,T+jocc/2cosηαγjαsin[ηαγjα]Fjoαjvα KS ,T+jocccosηγjαsinηγjαFjvαjoα KS ,T}+O[3](Δρ()). (22)

Here F^ KS ,T is a Kohn-Sham operator defined with respect to the intermediate point (ρ+, T, ρ−, T) and Fpq KS ,T is a matrix element of this operator involving the two orbitals.

Energy gradient used in optimization of U for SCF − CV(∞) − DFT

We shall now find vectors U()(I) that optimize EKS+(∞), ρ−(∞)] subject to certain constraints. To that end we will need the energy gradient with respect to variations in U. Considering first a spin conserving transition37a between orbitals of α-spin we take as a starting point for Uαα that generates {ψiαψiα=cos[ηαγjα]φjoα+sin[ηαγjα]φjvα;j=1,occ/2} the elements in U(2)(I)=U(I) that has been found by solving Eq. 19 for a spin conserving transition. To the vector U(I) corresponds the matrix U˜0,αα and the set {γ˜kα,0;k=1,occ}. Scaling next U˜0,αα and {γ˜kα,0;k=1,occ} by such that joccsin2[ηαγ˜jα,0]=1 affords U0,αα=ηα,U˜0,αα and {γkα,0=ηαγ˜kα,0;k=1,occ} where nowjoccsin2[γjα,0]=1. The matrix Uαα is obtained from a CV(2) calculation where Uαα and −Uαα afford the same energy according to Eq. 11a. However in CV(∞) with the energy expression given by Eq. 22, the sign matters through the terms containing cos[ηαγjα]sin[ηαγjα]. As we are dealing with a variational approach, we must pick the sign that affords the lowest energy.

Next, a Taylor expansion of E(∞)+(Uαα), ρ(Uαα)) from U0, αα to Uα = U0, αα + ΔUαα affords

E()(Uαα)=E()(U0,αα)+aidE()dUaiαα0ΔUaiαα+12aibjd2E()dUaiααdUbjαα0ΔUaiααΔUbjαα=E()(U0,αα)+aigaiα,eΔUaiαα+12aibjHai,bjα,αΔUaiααΔUbjαα+O(3)[ΔU]. (23)

A component of the gradient gaiα,e evaluated at U0, αα reads

gaiα,e(U0,αα)=dE()dUaiαα0=τ+,Eρτ0ρτdUaiαα0=τ+,F^ KS τ[ρ+(U0),ρ(U0)]ρτdUaiαα0dv1, (24)

where

ρ+(U0)=12ρ0+1/2Δρ(U0,αα)+1/2Δs(U0,αα), (25)
ρ(U0)=12ρ0+1/2Δρ(U0,αα)1/2Δs(U0,αα). (26)

Here Δρ(U0, αα) is the change in density in going from the ground state with U0, αα = 0 to U0, αα ≠ 0. Further Δs(U0, αα) is the corresponding change in the spin density matrix. The calculation of g and H(U0, αα) in Eq. 23 requires closed form expressions for dρτ(Uαα)/dUaiαα (Refs. 37a and 38) and d2ρτ(Uαα)/dUaiααdUbjαα (τ = +, −).39

Optimization of U for SCF-CV(∞)-DFT

A differentiation of Eq. 23 by ΔUααaffords

ge,α(U0,αα)+Hαα(U0,αα)ΔUαα=0, (27)

from which we can find ΔUσσ iteratively. In the initial steps where |ΔU| ≫ δtresh1 the Hessian is calculated approximately by assuming that and Hαα(U0, αα) = ɛD with (ɛD)ai, bj = δijδaba − ɛi). Here ɛi, ɛa are the orbital energies of the occupied and virtual ground state orbitals, respectively. We thus get for each new step

ΔUαα=(ɛD)1ge,σ(U0,αα). (28)

If U˜0,αα=U0,αα+ΔU0,αα does not satisfy Eq. 20b we introduce a scaling so that U^0,αα=ηU˜0,αα satisfy j(α)occsin2[γjα(U^0,αα)]=1. With U^0,αα satisfying Eq. 20b we finally ensure that U^0,αα satisfy Tr(U0, αα +UK, αα) = 0 for the excited states K = 1,I–1 that are below the excited state I for which we are optimizing U. This is done by introducing the projection

U0,αα=U^0,ααk=1I1UK,ααTr(UK,αα+U^0,αα)/×Tr(UK,αα+UK,αα). (29)

After that we go back to Eq. 28 for a new step with U0, αα defined in Eq. 29. When δtresh1 > |ΔU| > δtresh2 the iterative procedure is resumed by the help of the conjugated gradient technique described by Pople et al.40 It is not required in this procedure explicitly to know the Hessian. Instead use is made of the fact that

Hαα(U0,αα)ΔUαα=ge,α(U0,αα+ΔU)ge,α(U0,αα)+O[3](ΔU). (30)

The value for δtresh1 is typically 10−2 whereas δtresh2 = 10−4. Convergence is obtained when the threshold δtresh2 is reached. Typically, 20–30 iterations are required to reach δtresh1 and 5–10 to reachδtresh2. We have also attempted more advanced Hessians for the first part of the optimization such as the one suggested by Fletcher41 and implemented by Fischer and Almlöf.42 However, it was found to be less robust than the simple procedure in Eq. 28. The optimization procedure outlined here for spin-conserving transitions can readily be formulated for spin-flip transitions.

The resolution of singlet and triplet transitions from a closed shell molecule

The outcome of a spin-conserving transition is a state described by a Kohn-Sham determinant with two unpaired electrons of opposite spin. Such a determinant

ΨM=ψ1ψ2ψ3...ψiψj...ψn (31)

has an energy13 that is half singlet and half triplet

EM=12[ES+ET]. (32)

On the other hand, the spin-flip transition results in a determinant

ΨT=ψ1ψ2ψ3...ψiψj...ψn, (33)

with the energy of a triplet, ET. We can thus get13 the triplet energy from ΨT as ET and the singlet energy ES from ΨM as13

ES2EMET=ES+(ETET). (34)

Strictly speaking ES can only be calculated from Eq. 34 if ET=ET. This will to a good approximation be the case13 if all the closed shell orbitals in ΨM and ΨT are the same whereas the open shell orbitals have identical spatial parts. To ensure this we optimize Uαα with respect toEM. The resulting orbitals describing ΨM are subsequently used to construct ΨT and evaluate ET=ET after the required spin adjustment for the open shell orbitals. A slightly more accurate procedure would be to optimize Uαα based on the energy 2EMET.

RESULTS AND DISCUSSION

We present here as a first demonstration of our scheme calculations on 20 π → π* excitation in a series of unsaturated hydrocarbons. The calculations were based on the LDA (Ref. 19) (VWN), B3LYP (Refs. 20 and 21) and BHLYP (Refs. 20 and 21) functionals. For each functional results are given for adiabatic TDDFT,6, 7, 8, 9, 10 adiabatic TDDFT with the Tamm-Dankoff approximation (TDDFT-TD) and second order constricted variation DFT (CV(2)-TD) within the Tamm-Dankoff approximation according to Eq. 29. The latter two methods should in theory give identical results. We have in addition for each functional results for all order constricted variational DFT (CV(∞) − DFT) (Ref. 2) based on a U matrix obtained with CV(2)-DFT as well as SCF-CV(∞) − DFT in which U is optimized.. We compare further the DFT-based results with the “best estimate” by Schreiber et al.3 obtained from high-level ab initio wave function methods. Also discussed is

λmax=ηαγmaxα, (35)

where γmaxα is the largest eigenvalue in Eq. 16 with respect to Uαα and the scaling factor ηα is introduced to satisfy Eq. 20b. If Uαα is obtained from CV(2)-TD this is indicated by usingλmax. On the other hand the use of an optimized Uαα matrix corresponds toλmax.

We deal in the current test set with two groups of excitations. Group A (1,2,5,7,8,9,11,14,17) of Table 1 is associated with π → π* transitions of the type HOMO − n → LUMO + n (n = 0,1,2) where n = 1,2 applies exclusively to naphthalene. At the simple level of Hückel theory the group A excitations do not have any other π → π* transition of comparable energy to interact with. Thus, Group A has the potential to be represented by a single orbital transition. Group B (3,4,6,10,12,13,15,16,18,19,20) on the other hand are associated with a pair of π → π* transitions of the type HOMO → LUMO + n and HOMO − n → LUMO (n = 1,3) that in the case of the simple Hückel theory are degenerate in energy. Thus group B excitations are likely to have contributions from at least two π → π* transitions.

Table 1.

Vertical singlet excitation1 energies for a series of π→π* excitations in unsaturated hydrocarbons based on LDA (VWN).

Molecule No2 Group State Type Best3 TDDFT4 CV(2)5 CV(2)6 CV(∞)7 λmax8 SCF-CV(∞)9 λmax10
Ethene 1 A11 B1u π→π* 7.80 7.78 8.48 8.46 8.45 1.181 6.57 1.571
Butadiene 2 A Bu π→π* 6.18 5.59 6.16 6.17 6.12 1.169 4.45 1.571
  3 B12 Ag π→π* 6.55 6.23 6.24 6.23 6.66 0.841 6.56 0.860
Hexatriene 4 B Ag π→π* 5.09 5.02 5.03 5.03 5.35 0.787 5.22 1.099
  5 A Bu π→π* 5.10 4.50 5.05 5.06 4.94 1.197 3.40 1.571
Octatetraene 6 B Ag π→π* 4.47 4.16 4.17 4.17 4.41 0.799 4.30 1.130
  7 A Bu π→π* 4.66 3.81 4.34 4.34 4.16 1.212 2.78 1.571
Cyclopropene 8 A B2 π→π* 7.06 5.99 6.30 6.33 7.55 1.249 5.73 1.571
Cyclopentadiene 9 A B2 π→π* 5.55 4.97 5.39 5.39 5.88 1.254 4.39 1.571
  10 B A1 π→π* 6.31 6.03 6.05 6.05 6.45 0.810 6.24 1.040
Norbornadiene 11 A A2 π→π* 5.34 4.39 4.52 4.52 5.10 1.158 4.32 1.571
  12 B B2 π→π* 6.11 4.93 4.95 4.95 5.37 0.942 5.01 1.569
Naphthalene 13 B B3u π→π* 4.24 4.19 4.20 4.20 4.38 0.788 4.39 0.792
  14 A B2u π→π* 4.77 4.05 4.25 4.25 4.71 1.104 3.67 1.571
  15 B B1g π→π* 5.99 4.97 4.97 4.97 5.24 0.850 5.23 0.847
  16 B Ag π→π* 5.87 5.78 5.80 5.80 5.98 0.854 5.83 1.028
  17 A B2u π→π* 6.33 5.86 6.12 6.12 6.09 1.043 5.21 1.570
  18 B Ag π→π* 6.67 6.16 6.21 6.20 6.41 0.904 6.35 0.786
  19 B B3u π→π* 6.06 5.71 6.22 6.22 6.15 0.730 6.23 0.775
  20 B B1g π→π* 6.47 6.14 6.47 6.48 6.37 0.791 6.45 0.829
RMSD A         0.77 0.59 0.59 0.41 1.37
RMSD B         0.43 0.39 0.39 0.28 0.28
RMSD13 A+B       0.62 0.50 0.50 0.35 0.99
1

Excitation energies in eV.

2

Root mean square deviation.

3

Reference 2.

4

TD-DFT without Tamm-Dankoff approximation defined in Eq. 31.

5

CV(2)-DFT without Tamm-Dankoff approximation, Eq. 28.

6

CV(2)-DFT with Tamm-Dankoff approximation, Eq. 29 which is equivalent to TDDFT with the Tamm-Dankoff approximation.

7

Singlet excitation energies for CV(∞) with U taken as solution to Eq. 29.

8

Based on U taken as solution to Eq. 29 this is the largest eigenvalue from Eq. 16 for this particular excitation.

9

Excitation energy for CV(∞) with U optimized.

10

Based on optimized an optimized U matrix this is the largest eigenvalue from Eq. 16 for this particular excitation.

11

Single orbital transition.

12

Double orbital transition.

13

Number used for excitation in text.

LDA results for π → π* excitations in unsaturated hydrocarbons

Table 1 displays the LDA results. We find that the three second order methods TDDFT, TDDFT-TD, and CV(2)-TD have large root-mean-square deviation (RMSD) values of 0.62 eV, 0.50 eV, and 0.50 eV, respectively. On the average the calculated energies tend to be too small relative to the best estimate3 (BE). We note further that TDDFT-TD and CV(2)-TD as expected give nearly identical results. Any difference of 0.03 eV or smaller stems from the fact that the TDDFT-TD energies are expressed in terms of K integrals according to Eq. 11a whereas excitation energies for CV(2)-TD are derived using Taylor expansions as in Eq. 32. We find that RMSD is 0.59 eV for group A and 0.39 eV for group B in the case of CV(2)/LDA. The corresponding numbers are 0.77 eV and 0.43 eV for TDDFT.

For the CV(∞) scheme, RMSD is reduced to 0.36 eV as the calculated energies on average are slightly higher. In this scheme we add energy terms to all orders in U, with U determined by CV(2) through Eq. 29. Further, RMSD is 0.41 for A and 0.28 for B. Also shown are the maximal scaled eigenvalues λmax from Eq. 35 based on Uα with γmaxα determined from Eq. 16. Here λmax cannot exceed π/2 as a consequence of Eq. 20b. The maximum value of λmax = π/2(1.571) radians corresponds to a single orbital transition.

It follows from Table 1 that the members of group B all have λmax<0.9. This indicates as expected that these excitations have contributions from more than one π → π* orbital transition at the CV(2) theory level and thus also for CV(∞). For group A each member only has a significant contribution from one π → π* orbital transition at the CV(2) level, as expected. Nevertheless, we find λmax1.2 rather than λmax = π/2(1.571). The reason for this is that other types of transitions than π → π* contribute, notablyσ → π*, n → π* and Rydberg transitions. In terms of groups, RMSD is 0.41 eV for A and 0.28 eV for B in the case of CV(∞).

Turning next to SCF − CV(∞)/LDA in which Uαα is optimized so as to minimize Eq. 32, we note a substantial change in Table 1. Thus, all group A members now have a λmaxvalue ofπ/2, indicating that they have become single orbital in character. A closer look reveals that the group A members all are represented by pure π → π* transitions with no significant contribution fromσ → π*, n → π* and Rydberg transitions. On the SCF-CV(∞)/LDA level, the group B retains a multi-orbital composition although λmax has increased slightly on average. The only two exceptions are transitions 10 and 12 for which λmax are 1.3–1.5. Thus, these two transition prefer to be single configurational although a second configuration is available for interaction.

For group A the SCF-CV(∞)/LDA transition energies have dropped as much as 2 eV compared to the CV(∞)/LDA results whereas the energies for the remaining group B transitions hardly have changed. As a result of the substantial change in the predicted group A excitation energies, the RMSD value increases to 0.99 eV for SCF-CV(∞)/LDA. This is exclusively due to group A for which the RMSD is 1.37 eV whereas RMSD is 0.28 eV for B.

To understand the large drop in energy for A we note that the singlet excitation energy for a single orbital pair transition (φioφiv) in CV(2)/TD is given by

ΔES(2)=ɛivɛio+2Kioiv,ioivKioi¯v,ioi¯v, (36)

whereas the singlet excitation energy after summing to all orders takes on the form

ΔES()=ɛivɛio+1/2Kioio,ioio+1/2Kiviv,iviv2Kiviv,ioio+Ki¯vi¯v,ioio, (37)

The expression for ΔES(2) of Eq. 36 appears to be quite different from ΔES() of Eq. 37. However, we note that if use is made of pure Hartree-Fock exchange then Kioio,ioio HF =Kiviv,iviv HF =0 whereas Kioio,iviv HF =Kioiv,ioiv HF and Kioio,i¯vi¯v HF =Kioi¯v,ioi¯v HF , where Kru,tq HF =Kru,tqC+Kru,tqXC( HF ) with reference to Eqs. 22, 23. Thus, in this case ΔES(2) HF =ΔES() HF . As a consequence, for Hartree-Fock the excitation energy of a single-orbital transition is fully determined by ΔES(2) HF and higher order terms are zero.2, 5, 43 However, this is not so for LDA since Kioio,ioio LDA Kiviv,iviv LDA 0 and Kioio,iviv LDA Kioiv,ioiv LDA whereas Kioio,i¯vi¯v LDA Kioi¯v,ioi¯v LDA , where Kru,tq LDA =Kru,tqC+Kru,tqXC( LDA ) with reference to Eqs. 22, 24, 25. Thus, for LDA the calculated excitation energies are quite different depending on whether ΔES(2) or ΔES() is used. The same is true for functionals based on the generalized gradient approximation (GGA). In general HF satisfy the symmetry relation Kru,tq HF =Kru,tqC+Kru,tqXC( HF )=Krt,uqCKrt,uqXC( HF )=Krt,uq HF since Kru,tqXC( HF )=Krt,uqC and Krt,uqXC( HF )=Kru,tqC. In LDA and GGA no such relationship exists. Instead we find for π → π* transitions that |Krt,uqXC( LDA )||Kru,tqC|.

As an example, for the first 1Ag → 1Bu transition of butadiene the terms Kππ, ππ and Kπ*π*,π*π* that both should be zero have a value of ≈8 eV due to the lack of cancellation of the “self-interaction” Coulomb term by the exchange part. In this case the exchange part is “too small” in absolute terms by one order of magnitude. Further, Kππ,π*π* LDA and Kππ*,ππ* LDA are quite different with Kππ,π*π* LDA 8 eV and Kππ*,ππ* LDA − 2 eV. Likewise Kππ,π¯*π¯* LDA and Kππ¯*,ππ¯* LDA differ since Kππ,π¯*π¯* LDA 8 eV whereas Kππ¯*,ππ¯* LDA − 2 eV. For the last two cases the exchange is “too small” by one order of magnitude for |Krt,uqXC( LDA )| to be equal to |Kru,tqC|.

With the Coulomb terms dominating and Kππ,ππCKπ*π*,π*π*CKπ*π*,ππCKπ*π*,π¯π¯C, we get almost cancellation of all K-terms in Eq. 37 with ΔES() = 4.5 eV compared to ɛπ*ɛπ= 3.9 eV. For ΔES(2) of Eq. 36 we have again the Coulomb parts dominating and Kππ,π*π*CKππ,π¯*π¯*C. However, with more positive than negative K contributions we get after cancellation that ΔES(2)ɛπ*ɛπ+Kππ*,ππ* = 6.0 eV. Thus, we have rationalized why a transition described by a single π → π* excitation in both CV(2)/LDA and SCF-CV(∞)/LDA affords a larger ΔES(n) for n = 2 than for n = ∞.

The result obtained here where ΔES(2)>ΔES() for π → π* excitations is typical for transitions (φioφiv) where φio and φiv occupy the same spatial extent such that the densities φioφio* and φivφiv* have a large overlap. On the other hand for transitions φioφiv where φio and φiv occupy quite different spatial extents such that the densities φioφio* and φivφiv* have little or no overlap, we find a reversal to ΔES(2)<ΔES(). Examples are charge transfer, σ → π*, n → π*, and Rydberg transitions. As already discussed previously,5, 10, 43, 44 the reversal comes from the fact that for these types of transitions 1/2Kioio,ioio+1/2Kiviv,iviv in Eq. 37 is far from canceled by 2Kiviv,ioio+Ki¯vi¯v,ioio such that ΔES() becomes large compared to ɛivɛio. On the other hand, in Eq. 362Kioiv,ioivKioi¯v,ioi¯v0, so that ΔES(2) approach ɛivɛio. The reversal is responsible for that TD-DFT and CV(2) affords too low excitation energies for charge transfer, σ → π*, n → π*, and Rydberg transitions at the LDA and GGA level of theory. In the present case the reversal explains why σ → π*, n → π*, and Rydberg transitions contribute to the group A excitation at the CV(2) level of theory but is absent at the SCF-CV(∞)/LDA level of theory where λmaxπ/2(1.571).

It is worth to mention that for the 10 excitations of group A in Table 1 where λmax = 1.57, supplementary ΔSCF/LDA calculations were carried out. The ΔSCF/LDA calculations resulted within 0.05 eV in excitation energies similar to those obtained by RSCF-CV(∞)/LDA and the two methods produced quite similar KS orbitals.

B3LYP and BHLYP results for π → π* excitations in unsaturated hydrocarbons

Both of the second order methods TDDFT and CV(2)-TD are seen to perform well for B3LYP with RMSD's of 0.41 eV and 0.33 eV, respectively. The two second order schemes fare much worse for BHLYP where the RMSD's are 0.70 eV (TDDFT) and 0.69 eV (CV(2)-TD), respectively. Similar poor results were obtained in the last section for LDA with RMSD's of 0.62 eV (TDDFT) and 0.50 eV (CV(2)-TD), respectively. Thus, RMSD's for the simple second order methods exhibit a strong dependency on the fraction of exact HF-exchange α with a minimum at B3LYP for α = 20%. Most of the error in the second order methods for LDA and BHLYP comes from the group A transitions.

The perturbative all order approach CV(∞) exhibits a weak dependence on the fraction of HF-exchange with RMSD's of 0.35 eV (LDA), 0.27 eV (B3LYP), and 0.31 eV (BHLYP). Thus, although the scheme performs best for B3LYP, CV(∞) is seen to be rather robust with a better performance than the second order theories for all three functionals.

We note for group A that a significant increase in the calculated excitation energies for SCF-CV(∞) as we move to the hybrid functionals and raise the fraction α of HF-exchange in going from LDA (0%) over B3LYP (20%) to BHLYP (50%), Tables 1, 2, 3. The increase in the calculated excitation energies is associated with the fact that only a fraction (1−α) of the excitation energy now is given by the LDA (or GGA) expression ΔES() of Eq. 37 whereas the remaining part takes on the form of the HF-equivalent expression ΔES HF ()=ɛiv HF ɛi0 HF 2Kiviv,ioio HF +Kiviv,i¯oi¯o HF since Kioio,ioio and Kiviv,iviv both are zero for HF. Numerically ΔES HF ()>ΔES() which accounts for the gradual increase. In terms of RMSD the values for group A decreases gradually from 1.37 eV (LDA) to 0.80 eV (B3LYP) and 0.25 eV (BHLYP). For group B we simply note that RMSD remains relatively constant at the SCF-CV(∞) level of theory with RMSD of 0.28 eV (LDA), 0.21 eV (B3LYP), and 0.27 eV (BHLYP). Thus for the two groups combined we find the RMSD trend 0.99 eV (LDA), 0.59 eV (B3LYP), and 0.26 eV (BHLYP).

Table 2.

Vertical singlet excitation1 energies for a series of π→π* excitations in unsaturated hydrocarbons based on B3LYP.

Molecule No2 Group State Type Best3 TDDFT4 CV(2)5 CV(∞)6 λmax7 SCF-CV(∞)8 λmax9
Ethene 1 A10 B1u π→π* 7.80 7.73 8.37 8.42 1.209 7.23 1.541
Butadiene 2 A Bu π→π* 6.18 5.73 6.26 6.33 1.237 5.08 1.563
  3 B11 Ag π→π* 6.55 6.76 6.78 6.72 0.879 6.52 0.865
Hexatriene 4 B Ag π→π* 5.09 5.67 5.68 5.25 0.791 5.17 0.789
  5 A Bu π→π* 5.10 4.69 5.18 5.20 1.273 4.02 1.567
Octatetraene 6 B Ag π→π* 4.47 4.82 4.84 4.30 0.800 4.23 0.802
  7 A Bu π→π* 4.66 4.02 4.47 4.45 1.301 3.38 1.569
Cyclopropene 8 A B2 π→π* 7.06 6.34 6.70 7.29 1.201 6.43 1.500
Cyclopentadiene 9 A B2 π→π* 5.55 5.04 5.43 5.99 1.291 4.86 1.571
  10 B A1 π→π* 6.31 6.48 6.50 6.34 0.809 6.20 0.879
Norbornadiene 11 A A2 π→π* 5.34 4.77 4.93 5.51 1.248 4.81 1.534
  12 B B2 π→π* 6.11 5.49 5.52 5.63 0.956 5.53 0.970
Naphthalene 13 B B3u π→π* 4.24 4.41 4.43 4.42 0.784 4.41 0.784
  14 A B2u π→π* 4.77 4.35 4.56 4.92 1.130 4.23 1.570
  15 B B1g π→π* 5.99 5.54 5.55 5.64 0.903 5.61 0.947
  16 B Ag π→π* 5.87 6.13 6.16 5.86 0.831 5.76 0.841
  17 A B2u π→π* 6.33 6.12 6.42 6.22 1.049 5.78 1.570
  18 B Ag π→π* 6.67 6.82 6.90 6.61 0.861 6.65 0.632
  19 B B3u π→π* 6.06 5.91 6.43 6.20 0.747 6.35 0.772
  20 B B1g π→π* 6.47 6.32 6.65 6.07 0.859 6.15 0.925
RMSD12 A       0.50 0.33 0.32 0.80
RMSD12 B       0.30 0.33 0.20 0.21
RMSD12 A+B       0.41 0.33 0.27 0.59
1

Excitation energies in eV.

2

Number used for excitation in text.

3

Reference 2.

4

TD-DFT without Tamm-Dankoff approximation defined in Eq. 31.

5

CV(2)-DFT with Tamm-Dankoff approximation, Eq. 29 which is equivalent to TDDFT with the Tamm-Dankoff approximation.

6

Singlet excitation energies for CV(∞) with U taken as solution to Eq. 29.

7

Based on U taken as solution to Eq. 29 this is the largest eigenvalue from Eq. 16 for this particular excitation.

8

Excitation energy for CV(∞) with U optimized.

9

Based on an optimized U matrix this is the largest eigen-value from Eq. 16 for this particular excitation.

10

Single orbital transition.

11

Double orbital transition.

12

Root mean square deviation.

Table 3.

Vertical singlet excitation1 energies for a series of π→π* excitations in unsaturated hydrocarbons based on BHLYP.

Molecule No2 Group State Type Best3 TDDFT4 CV(2)5 CV(∞)6 λmax7 SCF-CV(∞)8 λmax9
Ethene 1 A10 B1u π→π* 7.80 7.68 8.22 8.45 1.229 8.02 1.571
Butadiene 2 A Bu π→π* 6.18 5.91 6.36 6.64 1.292 5.98 1.571
  3 B11 Ag π→π* 6.55 7.54 7.58 6.96 1.002 6.39 0.869
Hexatriene 4 B Ag π→π* 5.09 6.63 6.65 5.08 0.817 4.87 0.802
  5 A Bu π→π* 5.10 4.93 5.32 5.54 1.311 4.92 1.571
Octatetraene 6 B Ag π→π* 4.47 6.28 5.84 4.01 0.799 3.85 0.805
  7 A Bu π→π* 4.66 4.28 4.63 4.77 1.319 4.25 1.570
Cyclopropene 8 A B2 π→π* 7.06 6.49 6.83 7.15 1.191 7.16 1.570
Cyclopentadiene 9 A B2 π→π* 5.55 5.15 5.50 6.09 1.311 5.45 1.571
  10 B A1 π→π* 6.31 7.16 7.19 6.07 0.813 5.85 0.828
Norbornadiene 11 A A2 π→π* 5.34 5.11 5.31 5.88 1.369 5.35 1.567
  12 B B2 π→π* 6.11 6.15 6.21 5.93 1.019 5.83 1.021
Naphthalene 13 B B3u π→π* 4.24 4.66 4.73 4.26 0.781 4.22 0.774
  14 A B2u π→π* 4.77 4.64 4.87 4.81 1.110 4.33 1.111
  15 B B1g π→π* 5.99 6.23 6.32 6.48 1.169 6.33 1.318
  16 B Ag π→π* 5.87 6.55 6.59 5.46 0.822 5.30 0.820
  17 A B2u π→π* 6.33 6.38 6.76 6.29 1.012 6.48 1.120
  18 B Ag π→π* 6.67 7.67 7.83 6.85 0.659 6.49 0.810
  19 B B3u π→π* 6.06 6.18 6.68 6.23 0.757 6.43 0.771
  20 B B1g π→π* 6.47 6.63 6.85 6.24 1.126 6.41 1.255
RMSD12 A       0.95 0.94 0.38 0.25
RMSD12 B       0.29 0.23 0.31 0.36
RMSD12 A+B       0.70 0.69 0.35 0.31
1

Excitation energies in eV.

2

Number used for excitation in text.

3

Reference 2.

4

TD-DFT without Tamm-Dankoff approximation defined in Eq. 31.

5

CV(2)-DFT with Tamm-Dankoff approximation, Eq. 29 which is equivalent to TDDFT with the Tamm-Dankoff approximation.

6

Singlet excitation energies for CV(∞) with U taken as solution to Eq. 29.

7

Based on U taken as solution to Eq. 29 this is the largest eigenvalue from Eq. 16 for this particular excitation.

8

Excitation energy for CV(∞) with U optimized.

9

Based on an optimized U matrix this is the largest eigenvalue from Eq. 16 for this particular excitation.

10

Single orbital transition.

11

Double orbital transition.

12

Root mean square deviation.

CONCLUDING REMARKS

We have here introduced the implementation of the self-consistent constricted variational density functional theory for the description of excited states. The n order constricted variational density functional theory CV(n)-DFT is a generalization of CV(2)-DFT presented in Eq. 29. Combined with the Tamm-Dancoff approximation31 CV(2)-DFT affords Eq. 28. Here Eq. 28 is equivalent to the basic equation in TDDFT after the Tamm-Dancoff approximation is applied. In CV(n) we start with the UI matrix obtained from CV(2)-DFT/TD via Eq. 28. Based on UI for the Ith excited state we perform in CV(n) a unitary transformation exp [UI] to order n in UI on the set of occupied and virtual ground state orbitals under the constraint of Eq. 20b. The result is a new set of occupied and virtual orbitals representing excited state I. This transformation can be carried out to infinite order in n, CV(∞)-DFT. In the self-consistent formulation of CV(∞)-DFT we optimize UI under the constraints of Eqs. 20b and (41), thus preventing a variational collapse onto the ground state and lower lying excited states. The SCF-CV(∞)-DFT scheme requires on top of a TD-DFT treatment one SCF calculation for each excited state.

We have applied LDA, B3LYP, and BHLYP to a test set (T1) of 20 π → π* transitions in unsaturated hydrocarbons and compared the calculated excitation energies for TDDFT, CV(2)-TD, CV(∞), and SCF-CV(∞)-DFT to estimates based on high level ab initio calculations.3 The test set T1 was comprised of two groups where all excitations in A could be represented by a single orbital excitation whereas the excitations in B consisted of two or more orbital transitions.

We find that the performance of the second order methods TDDFT and CV(2) is strongly dependent on the fraction α of exact exchange included in the functional. Acceptable results are only obtained with B3LYP where the RMSD's are 0.41 eV (TDDFT) and 0.33 eV (CV(2)-TD), respectively. The poor performance of TDDFT and CV(2) for LDA and BHLYP is primarily to be found among the group A transitions. The CV(∞) scheme where terms to all orders in U are included perturbatively have RMSD's of 0.35 eV (LDA), 0.27 eV (B3LYP), and 0.31 eV (BHLYP). Thus, this scheme is rather insensitive to the fraction α of exact exchange although the best results are obtained for B3LYP. The CV(∞) schemes performs somewhat better for group B than group A. In the case of SCF-CV(∞) we find that the scheme performs well for group B irrespectively of the fraction of HF-exchange with RMSD's of 0.28 eV (LDA), 0.21 eV (B3LYP), and 0.27 eV (BHLYP). On the other hand the performance of SCF-CV(∞) exhibits a strong dependence on α for group A with RMSD's of 1.37 eV (LDA) to 0.80 eV (B3LYP) and 0.25 eV (BHLYP).

Traditionally DFT based studies on excited states have been carried out with either the TD-DFT (Refs. 6 and 10) method or the ΔSCF (Refs. 11 and 15) scheme. The ΔSCF method36 is as SCF-CV(∞)-DFT variational and can thus describe orbital relaxation due to excitations. However, for a single electron transition it is by design restricted to cases that can be described by a single orbital excitation (ia). Nevertheless, when applicable, ΔSCF performs well and has been used recently by Van Voorhis et al.45 to describe π → π* transition in conjugated systems using BHLYP or MO6-2× (Ref. 46) that contain a high percentage of HF-exchange. The SCF-CV(∞)-DFT method is a natural generalization of the ΔSCF scheme as it can deal with both group A and B excitations. Moreover, it is seen to give good results for BHLYP for both A and B with a RMSD of 0.26 eV. In contrast to the ΔSCF method our scheme ensures that there will be no variational collapse into the ground state. The problem of variational collapse has been discussed in the case of π → π* transitions for the Hartree method by Davidson and Nitzsche.36e

Work is now under way to apply SCF-CV(∞)-DFT to charge transfer, σ → π*, n → π* and Rydberg transitions as well as transition metal complexes.

ACKNOWLEDGMENTS

This work was supported by NSERC. The computational resources of WESTGRID were used for all calculations. T.Z. thanks the Canadian Government for a Canada Research Chair.

References

  1. Ziegler T., Seth M., Krykunov M., Autschbach J., and Wang F., J. Chem. Phys. 130, 154102 (2009). 10.1063/1.3114988 [DOI] [PubMed] [Google Scholar]
  2. Cullen J., Krykunov M., and Ziegler T., Chem. Phys. 391, 11 (2011). 10.1016/j.chemphys.2011.05.021 [DOI] [Google Scholar]
  3. Schreiber M., Silva-Junior M., Sauer S., and Thiel W., J. Chem. Phys. 128, 134110 (2008). 10.1063/1.2889385 [DOI] [PubMed] [Google Scholar]
  4. Hald K., Hättig C., Olsen J., and Jørgensen P., J. Chem. Phys. 115, 3545 (2001). 10.1063/1.1388042 [DOI] [Google Scholar]
  5. Ziegler T., Krykunov M., and Cullen J., J. Chem. Theory Comput. 7, 2485 (2011). 10.1021/ct200261a [DOI] [PubMed] [Google Scholar]
  6. Casida M. E., in Recent Advances in Density Functional Methods, edited by Chong D. P. (World Scientific, Singapore, 1995), pp 155–193. [Google Scholar]
  7. van Gisbergen S. J. A. and Snijders J. G., J. Chem. Phys. 103, 9347 (1995). 10.1063/1.469994 [DOI] [Google Scholar]
  8. Petersilka M., Grossmann U. J., and Gross E. K. U., Phys. Rev. Lett. 76, 12 (1996). 10.1103/PhysRevLett.76.1212 [DOI] [PubMed] [Google Scholar]
  9. Bauernschmitt R. and Ahlrichs R., Chem. Phys. Lett. 256, 454 (1996). 10.1016/0009-2614(96)00440-X [DOI] [Google Scholar]
  10. Stratmann R. E., Scuseria G. E., and Frisch M. J., J. Chem. Phys. 109, 8218 (1998). 10.1063/1.477483 [DOI] [Google Scholar]
  11. Slater J. C. and Wood J. H., Int. J. Quantum Chem. Suppl. 4, 3 (1971). [Google Scholar]
  12. Slater J. C., Adv. Quantum Chem. 6, 1 (1972). 10.1016/S0065-3276(08)60541-9 [DOI] [Google Scholar]
  13. Ziegler T., Rauk A., and Baerends E. J., Theor. Chim. Acta 43, 261 (1977). 10.1007/BF00551551 [DOI] [Google Scholar]
  14. Levy M. and Perdew J. P., Phys. Rev. A 32, 2010 (1985). 10.1103/PhysRevA.32.2010 [DOI] [PubMed] [Google Scholar]
  15. (a) Nagy A., Phys. Rev. A 53, 3660 (1996); 10.1103/PhysRevA.53.3660 [DOI] [PubMed] [Google Scholar]; (b) Liu T. Q., Han W. G., Himo F., Ullmann G. M., Bashford D., Toutchkine A., Hahn K. M., and Noodleman L., J. Phys. Chem. A 108, 3545 (2004). 10.1021/jp031062p [DOI] [Google Scholar]
  16. Levy M. and Nagy A., Phys. Rev. Lett. 83, 4361 (1999). 10.1103/PhysRevLett.83.4361 [DOI] [Google Scholar]
  17. te Velde G., Bickelhaupt F. M., van Gisbergen S. J. A., Fonseca Guerra C., Baerends E. J., Snijders J. G., and Ziegler T., J. Comput. Chem. 22, 931 (2001). 10.1002/jcc.1056 [DOI] [Google Scholar]
  18. Van Lenthe E. and Baerends E. J., J. Comput. Chem. 24, 1142 (2003). 10.1002/jcc.10255 [DOI] [PubMed] [Google Scholar]
  19. Vosko S. H., Wilk L., and Nusair M., Can. J. Phys. 58, 1200 (1980). 10.1139/p80-159 [DOI] [Google Scholar]
  20. Becke A. D., J. Chem. Phys. 98, 5648 (1993). 10.1063/1.464913 [DOI] [Google Scholar]
  21. Lee C., Yang W., and Parr R. G., Phys. Rev. B 37, 785 (1988). 10.1103/PhysRevB.37.785 [DOI] [PubMed] [Google Scholar]
  22. Kohn W. and Sham L. J., Phys. Rev. 140, 1133A (1965). 10.1103/PhysRev.140.A1133 [DOI] [Google Scholar]
  23. Amos A. T. and Hall G. G., Proc. R. Soc. London, Ser. A 263, 483 (1961). 10.1098/rspa.1961.0175 [DOI] [Google Scholar]
  24. See supplementary material at http://dx.doi.org/10.1063/1.3696967 for further details of parts S1, S2, and S3.
  25. See Sections 2.1 and 2.3 of part S1 in Ref. .
  26. See Section 2.2 of part S1 in Ref. .
  27. See Section 2.4 of part S1 in Ref. .
  28. Wang F. and Ziegler T., J. Chem. Phys. 121, 12191 (2004). 10.1063/1.1821494 [DOI] [PubMed] [Google Scholar]
  29. Wang F. and Ziegler T., J. Chem. Phys. 122, 74109 (2006). 10.1063/1.1844299 [DOI] [PubMed] [Google Scholar]
  30. Wang F. and Ziegler T., Int. J. Quantum Chem. 106, 2545 (2005). 10.1002/qua.21050 [DOI] [Google Scholar]
  31. Hirata S. and Head-Gordon M., Chem. Phys. Lett. 314, 291 (1999). 10.1016/S0009-2614(99)01149-5 [DOI] [Google Scholar]
  32. (a) See Section 3.1 of part S1 in Ref. ;; (b) See Section 3.3 of part S1 in Ref. .
  33. See Section 3.2 of part S1 in Ref. ; See Section 3.4 of part S1 in Ref. .
  34. Ziegler T. and Rauk A., Theor. Chim. Acta 46, 1 (1977). 10.1007/BF00551648 [DOI] [Google Scholar]
  35. Martin R. L., J. Chem. Phys. 118, 4775 (2003). 10.1063/1.1558471 [DOI] [Google Scholar]
  36. (a) Besley N., Gilbert A., and Gill P., J. Chem. Phys. 130, 124308 (2009); 10.1063/1.3092928 [DOI] [PubMed] [Google Scholar]; (b) Liu T. Q., Han W. G., Himo F., Ullmann G. M., Bashford D., Toutchkine A., Hahn K. M., and Noodleman L., J. Phys. Chem. A 108, 3545–3555 (2004); 10.1021/jp031062p [DOI] [Google Scholar]; (c) Gavnholt J., Olsen T., Engelund M., and Schiøtz J., Phys. Rev. B 78, 075441 (2008); 10.1103/PhysRevB.78.075441 [DOI] [Google Scholar]; (d) Zope R., Baruah T., Richardson S., Pederson M., and Dunlap B., J. Phys. Chem. 133, 034301 (2010); 10.1063/1.3459056 [DOI] [PubMed] [Google Scholar]; (e) Davidson E. R. and Nitzsche L. E., J. Am. Chem. Soc. 101, 6524 (1979). 10.1021/ja00516a008 [DOI] [Google Scholar]
  37. (a) See Sections 4.1 of part S1 in Ref. ;; (b) See Sections 4.2 of part S1 in Ref. .
  38. See Section 3.0 in S2 of Ref. .
  39. See Section 5.0 in S3 of Ref. .
  40. Pople J. A., Krishnan R., Schlegel H. B., and Binkley J. S., Int. J. Quantum Chem. Suppl. 13, 225 (1979). [Google Scholar]
  41. Fletcher R., Practical Methods of Optimization (Wiley,NewYork, 1980), Vol. 1. [Google Scholar]
  42. Fischer T. H. and Almlöf J., J. Phys. Chem. 96, 9768 (1992). 10.1021/j100203a036 [DOI] [Google Scholar]
  43. Ziegler T., Seth M., Krykunov M., Autschbach J., J. Chem. Phys. 129, 184114 (2008). 10.1063/1.3009622 [DOI] [PubMed] [Google Scholar]
  44. Ziegler T. and Krykunov M., J. Chem. Phys. 133, 74104 (2010). 10.1063/1.3471449 [DOI] [PubMed] [Google Scholar]
  45. Kowalczyk T., Yost S. R., and Van Voorhis T., J. Chem. Phys. 134, 054128 (2011). 10.1063/1.3530801 [DOI] [PubMed] [Google Scholar]
  46. Zhao Y. and Truhlar D., Theor. Chim. Acta 120, 215 (2008). 10.1007/s00214-007-0310-x [DOI] [Google Scholar]
  47. Head-Gordon M. and Pople J. A., J. Phys. Chem. 91, 3063 (1988). 10.1021/j100322a012 [DOI] [Google Scholar]
  48. See Sections 2.7 and 2.8 of Ref. .
  49. See Section 3.2 of Ref. .

Articles from The Journal of Chemical Physics are provided here courtesy of American Institute of Physics

RESOURCES