Cluster Amplitudes and Their Interplay with Self-Consistency in Density Functional Methods Greta Jacobson12Juan M. Marmolejo-Tejada1Mart n A. Mosquera1

2025-04-27 0 0 808.96KB 17 页 10玖币
侵权投诉
Cluster Amplitudes and Their Interplay with Self-Consistency in
Density Functional Methods
Greta Jacobson,1,2Juan M. Marmolejo-Tejada,1Mart´ın A. Mosquera1,
1Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana 59717 USA
2Department of Chemistry, Millikin University, Decatur, Illinois 62522 USA
martinmosquera@montana.edu
August, 2022
Abstract
Density functional theory (DFT) provides convenient electronic structure methods for the study
of molecular systems and materials. Regular Kohn-Sham DFT calculations rely on unitary transfor-
mations to determine the ground-state electronic density, ground state energy, and related properties.
However, for dissociation of molecular systems into open-shell fragments, due to the self-interaction
error present in a large number of density functional approximations, the self-consistent procedure
based on the this type of transformation gives rise to the well-known charge delocalization problem.
To avoid this issue, we showed previously that the cluster operator of coupled-cluster theory can be
utilized within the context of DFT to solve in an alternative and approximate fashion the ground-state
self-consistent problem. This work further examines the application of the singles cluster operator to
molecular ground state calculations. Two approximations are derived and explored: i), A linearized
scheme of the quadratic equation used to determine the cluster amplitudes, and, ii), the effect of car-
rying the calculations in a non-self-consistent field fashion. These approaches are found to be capable
of improving the energy and density of the system and are quite stable in either case. The theoretical
framework discussed in this work could be used to describe, with an added flexibility, quantum systems
that display challenging features and require expanded theoretical methods.
1 Introduction
Electronic structure methods predict a very large number of measurable quantities that are used to
understand, characterize, and optimize chemical compounds and materials. Quantum mechanics is
the foundation upon which algorithms are designed and applied to compute electronic and structural
properties. From a fundamental standpoint, quantum mechanics states that with a complete knowledge
1
arXiv:2210.03694v1 [physics.chem-ph] 7 Oct 2022
of the wave function of the system one can thus be able to determine all the information about the
system of interest. For computational efficiency, however, density functional theory (DFT) serves as an
alternative to pursue such goal. In DFT one the primary objectives is the calculation of the electronic
density of the system, as opposed to the full wave function of all the electrons. Although it is common
to separate both, wave-function theory (WFT) and DFT, as separate fields, it can be argued that both
are intrinsically connected, especially from the algorithmic point of view.
DFT methods have been formulated on the basis of physical understanding of model systems and
small molecules. A notable example is the electron gas, which in many ways has led to functional
components that to date still remain an important part of a very large number of density functional
approximations (DFAs). These functionals are available for different energy “pieces” such as the
kinetic, exchange, correlation, and van der Waals energies. The kinetic energy is known to be the most
challenging energy to be expressed explicitly as a density-functional. For this reason, Kohn-Sham
(KS) DFT [1] is the most common theory within DFT that is utilized for practical calculations and
to derive concepts.[2, 3] As KS-DFT uses single-electron orbitals to determine a kinetic energy. As is
well known, even though KS-DFT practical calculations perform well for determining properties such
as molecular geometries, and optoelectronic properties of a very large number of compound types, it is
difficult for transition-metal systems [4], bond-breaking [5], and charge-transfer excitations [6], among
others, where erroneous charge delocalization [7–10] is a main manifestation of these adverse effects.
Extended DFAs that are free of incorrect charge delocalization should eliminate the main cause
for such adverse effect, the self-interaction error [11–14]. Additionally, improved methodologies must
also come with relatively low computational costs. Motivated by these considerations, and fueled by
advances in machine learning and the premise of new generation of computing technologies (classical
and quantum), theoretical methods are being advanced by the scientific community, with the goal of
extending the applicability of DFT methods [15–17]. These extensions include the development of force
fields, which are creating opportunities for detailed studies of systems at the mesoscopic scale [18]. For
example, artificial neural network (ANN) algorithms have been used to generate density functional
approximations [19, 20], and have been able to eliminate charge delocalization errors. On the other
hand, ANNs also have led to both transferable and specific force fields. This also includes ANNs being
used extensively in materials discovery and properties prediction [21–23]. Machine-learned interactomic
potentials, which are tailored for a particular system of interest demonstrate quite appealing theoretical
prospects for modeling mesoscale phenomena [24–30].
From a foundational perspective, the elimination of charge delocalization still remains a long sought
goal, where theoretical tools are still the subject of continued developments. This problem not only
manifests in DFT development, but also in WFT research. For example, it is known that there are
dynamically correlated post-Hartree-Fock methods that can also cause issues with size-consistency,
whereas the well-known exponential ansatz of WFT, in conjunction with spin-symmetry breaking,
offers a theoretically sound route to restore size-consistency (which implies size-extensivity as well).
We showed previously that this exponential operator, which in turn is determined by what is known
2
as the “cluster operator” [31–41], can also prevent undesired charge delocalization in DFT calculations
[42]. The cluster operator in the ground-state case is limited in our calculations to single-electron
transitions, as it displays a high degree of accuracy at this level of excitation. The cluster amplitudes
that are used to construct the exponential operator are derived as the solution of a quadratic equation,
which is solved in an iterative fashion. Our proposed method, denoted as “eXp” (due to its relying on
the exponential operator), predicted with physical consistency the binding energy curves of classical
systems such as di-hydrogen, lithium hydride, and hydrogen fluoride, but we also show other cases
where the eXp method functions as an alternative to the standard unitary method of KS-DFAs, and
we suggested they are also compatible with the double-hybrid functional approach [43–45]. These
previous findings motivate the present work, where we further explore the eXp method under its
linearized version, which simplifies in a very accurate way the determination of the cluster amplitudes
and the exponential operator. We also examine non-self-consistent field calculations, where the single-
particle Hamiltonian is determined by the Hartree-Fock density, which is used to estimate directly the
cluster operator and its conjugate, the “lambda” operator. In this study we find that the linearized eXp
method performs quite well with excellent agreement with respect to the full quadratic scheme in both
cases, the self-consistent and the non-self-consistent ones. The eXp technique is applied to a couple
of known cases of severe charge delocalization (or strong self-interaction), with the goal of eliminating
it: The positively charged neon dimer, Ne+
2, and lithium-fluoride, LiF. In addition, our methods are
applied to a set of molecules at their minimum-energy geometries, where we show that the linearized
eXp method performs quite similarly as the quadratic version in self-consistent-field (SCF) and non-
self-consistent-field (NSCF) calculations. However, the NSCF computations, as expected, are less
accurate that the SCF ones, but can be considered for calculations where computational acceleration
is needed. The simulations considered in this work are based on a single-particle Hamiltonian, but
they are also applicable to Hamiltonians that include two-body interactions, such as those used in
double-hybrid approaches.
2 Theory
3 Computational Details
Determining ground-state properties in KS-DFT begins with the calculation of the KS Slater deter-
minant |Φiand subsequently the electronic energy. The wave function |Φiis computed through the
minimization of an auxiliary single-particle energy, which depends on the single-particle Hamilonian,
or KS Fock operator. We denote this density-dependent operator as ˆ
f. The energy function that is
minimized in KS-DFT to obtain the orbitals is then hΦ|ˆ
f|Φi, and it leads to the standard KS equations
where the single particle orbitals are constructed through diagonalization of the KS Fock matrix. The
object ˆ
fis the sum of the kinetic, electron-nucleus, exchange-correlation (XC), and Hartree contribu-
tions.
3
As an alternative to the standard procedure mentioned above, we stationarize the single-particle
energy with respect to cluster operators, where the reference is a Hartree-Fock (HF) wave function,
which we denote as Ψ0. This wavefunction, as expected, is constructed with occupied orbitals in the
HF molecular orbital basis set. This is a relevant detail, as our calculations rely entirely on such
molecular basis set. The HF wavefunction can either be a restricted or unrestricted reference. We
introduce an auxiliary right-handed wave function of the form |ΥRi= exp(+ˆ
t)|Ψ0i, and the left-ket
hΥL|=hΨ0|(1 + ˆ
Λ) exp(ˆ
t), where ˆ
tand ˆ
Λ are the cluster operators. The function to stationarize is
hΥL|ˆ
f|ΥRi, so it leads to the auxiliary single-particle energy as:
Es= stat.
ˆ
t,ˆ
ΛhΨ0|(1 + ˆ
Λ) ¯
f|Ψ0i(1)
where the symbol ¯
fdenotes the transformed operator exp(ˆ
t)ˆ
fexp(+ˆ
t). We use this notation for
other operators too; so if ˆ
Ω is some arbitrary operator, then ¯
Ω = exp(ˆ
t)ˆ
Ω exp(+ˆ
t). The cluster
operators that we are interested in have the form ˆ
t=Pai ta
iˆaˆ
i, and ˆ
Λ = Pai Λa
iˆ
iˆa. The indices i
and adenote occupied and virtual spin-orbitals, respectively. By stationarizing with respect to ˆ
tand
ˆ
Λ it is then implied that one must find, what we regard as vectors computationally, {ta
i}and {Λa
i}.
This demands that the derivatives of the function hΨ0|(1 + ˆ
Λ) ¯
f|Ψ0iwith respect to all the elements
Λa
iand ta
iare all zero.
We denote fpq as the matrix element, hχp|ˆ
f|χqi, where χpis a Hartree-Fock spin-orbital; this
implies that fpq can be non-zero for p6=q. We then have that the t-amplitudes derive from the
equation:
0 = fai +X
b
tb
ifab X
j
ta
jfji X
jb
fjbtb
ita
j(2)
And the Λ-amplitudes are obtained from the linear system =f, where
Mck,ai =Rck,ai X
j
ta
jfjc X
b
tb
ifkbδac (3)
and
Rck,ai =fcaδik fkiδca (4)
The symbol frepresents the Fock matrix as a vector, (f)ai =fai. We denote the process of determining
tthrough Eq. 2 as the quadratic eXp scheme, or “Q-eXp”. It, Q-eXp, can be solved using the quasi-
Newton method where an estimate to ta
iis updated according to the equation:
ta
ita
iLa
i
faa fii
(5)
Where La
irefers to the left-hand side of Equation 2.
By neglecting quadratic terms in Eq. 2, we obtain the approximation:
Rt =f(6)
We refer to this scheme as “L-eXp”. This approximation requires the solution to a linear system of
equations, so it avoids the need for iterations to find t. On the other hand, this linear matrix equation
4
摘要:

ClusterAmplitudesandTheirInterplaywithSelf-ConsistencyinDensityFunctionalMethodsGretaJacobson,1;2JuanM.Marmolejo-Tejada,1MartnA.Mosquera1;1DepartmentofChemistryandBiochemistry,MontanaStateUniversity,Bozeman,Montana59717USA2DepartmentofChemistry,MillikinUniversity,Decatur,Illinois62522USAmartinmo...

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