The adiabatic connection that has, as weak-interaction expansion, the Møller-Plesset perturbation series has been recently shown to have a large coupling-strength expansion, in terms of functionals of the Hartree-Fock density with a clear physical meaning. In this work, we accurately evaluate these density functionals and we extract second-order gradient coefficients from the data for neutral atoms, following ideas similar to the ones used in the literature for exchange, with some modifications. These new gradient expansions will be the key ingredient for performing interpolations that have already been shown to reduce dramatically MP2 errors for large noncovalent complexes. As a byproduct, our investigation of neutral atoms with large number of electrons N indicates that the second-order gradient expansion for exchange grows as N log(N) rather than as N, as often reported in the literature.
The adiabatic connection that has, as weak-interaction expansion, the Møller-Plesset perturbation series has been recently shown to have a large coupling-strength expansion, in terms of functionals of the Hartree-Fock density with a clear physical meaning. In this work, we accurately evaluate these density functionals and we extract second-order gradient coefficients from the data for neutral atoms, following ideas similar to the ones used in the literature for exchange, with some modifications. These new gradient expansions will be the key ingredient for performing interpolations that have already been shown to reduce dramatically MP2 errors for large noncovalent complexes. As a byproduct, our investigation of neutral atoms with large number of electrons N indicates that the second-order gradient expansion for exchange grows as N log(N) rather than as N, as often reported in the literature.
Adiabatic connections
(ACs) between an easy-to-solve Hamiltonian
and the physical, many-electron one, have always played a crucial
role in building approximations in electronic structure theory. In
density functional theory (DFT), the standard AC connects the Kohn–Sham
(KS) Hamiltonian with the physical one by turning on, via a parameter
λ, the electron–electron interaction while keeping the
one-electron density ρ(r) fixed[1] (central column of Table ). In this case, the series expansion of the correlation
energy at small coupling strengths (λ → 0) is given by
the Görling–Levy (GL) perturbation theory.[2] In the opposite limit of large-coupling strengths
(λ → ∞), the correlation energy is determined
by the strictly correlated-electrons (SCE) physics,[3−6] which yields the leading term.
The next order is given by zero-point (ZP) oscillations[7−10] around the SCE manifold. A possible strategy to build approximations
for the correlation energy is to interpolate between these two opposite
limits, generalizing to any nonuniform density[7,11−16] the idea that Wigner[17] used for jellium.
The advantage of such an approach is that it is not biased toward
the weakly correlated regime. The lack of size consistency of these
interpolations can be easily corrected at zero computational cost.[14]
Table 1
Two Adiabatic Connections
(ACs) Considered
in This Worka
DFT adiabatic
connection
Møller–Plesset
adiabatic connection
Ĥλ
T̂ + V̂ext + λV̂ee + V̂λ[ρ]
T̂ + V̂ext + V̂HF + λ (V̂ee – V̂HF)
V̂HF = Ĵ[ρHF] – K̂[{ϕiHF}]
ρλ=0
ρ
ρHF
ρλ=1
ρ
ρ
ρλ
ρ
ρλ
Wc,λ
⟨Ψλ|V̂ee|Ψλ⟩ – ⟨Ψ0|V̂ee|Ψ0⟩
⟨Ψλ|V̂ee – V̂HF|Ψλ⟩ – ⟨Ψ0|V̂ee – V̂HF|Ψ0⟩
Ec
∫01Wc,λDFT dλ
∫01Wc,λHF dλ
Wc,λ→0
∑n=2∞nEcGLnλn–1
∑n=2∞nEcMPnλn–1
Wc,λ→∞
Wc,∞DFT + W1/2DFTλ–1/2 + O(λ–5/4)
Wc,∞HF + W1/2HFλ–1/2 + W3/4HFλ–3/4 + O(λ–5/4)
Middle column:
the standard density-fixed
DFT AC that starts at λ = 0 with the Kohn–Sham determinant.
Right column: the AC that has the Møller–Plesset series
as expansion for small coupling strengths λ and starts at λ
= 0 with the Hartree–Fock Slater determinant.
Middle column:
the standard density-fixed
DFT AC that starts at λ = 0 with the Kohn–Sham determinant.
Right column: the AC that has the Møller–Plesset series
as expansion for small coupling strengths λ and starts at λ
= 0 with the Hartree–Fock Slater determinant.More recently,[18] the same interpolation
idea has been applied to the AC that has the Møller–Plesset
(MP) series as perturbation expansion at small coupling strengths
λ (right panel of Table ), connecting the Hartree–Fock (HF) Hamiltonian with
the physical one. The λ → ∞ expansion of
this MP AC is given by functionals of the Hartree–Fock density
ρHF(r), with a clear physical meaning.[19,20] The strong-coupling functionals of the DFT and the MP ACs are essentially
electrostatic energies, whose exact evaluation for large particle
numbers is demanding, but while for the DFT AC there are rather accurate
second-order gradient expansion approximations (GEA2)[4,7,21] and, more recently, also generalized
gradient approximations[16] (GGA), for the
MP AC these approximations are not yet available. For this reason,
in a very recent work[18] the λ →
∞ functionals of the MP AC have been modeled in an empirical
way, starting from the GEA2 of the DFT ones. Quite remarkably, interpolations
combined with this simple empirical model already provide very accurate
results for noncovalent interactions (NCI), reducing the MP2 error
by up to a factor 10 in the L7 dataset,[22] without spoiling MP2 energies for the cases in which they are accurate.[18] These interpolations work very well for diverse
NCI’s such as charge transfer and dipolar interactions, and
they are able to correct MP2 both when it overbinds and when it underbinds,
as they are able to take into account the change from concave to convex
behavior of the MP AC.[18] Their appealing
feature is that they use 100% of HF exchange and MP2 correlation energy,
and it is the interpolation that decides for each system how much
to correct with respect to MP2. This way, dispersion corrections are
not needed at all to get accurate NCIs.[18]The purpose of this work is to derive the missing GEA2 for
the
strong-coupling functionals of the MP AC, in order to reduce empiricism
and hopefully increase the accuracy of the interpolations along the
MP AC. To this purpose, we use the ideas derived from the semiclassical
limit of neutral atoms, which have been used in recent years in DFT
for the analysis of the exchange and correlation functionals,[23−28] yielding new approximations such as PBEsol.[29] As we shall see, the functionals we need to approximate allow us
to probe these ideas more extensively, revealing several interesting
features that could be used more generally to build DFT approximations.
We also notice that an additional term with respect to refs[23, 24, 29] should
be present in the second-order gradient expansion for exchange.The paper is organized as follows. In section , we quickly review the large-coupling-strength
functionals of the MP AC, discussing their physical meaning and the
crucial differences with those of the DFT AC. Then, in section , we focus on the gradient
expansion of the leading term at large coupling strengths: we perform
an extensive analysis by filling more and more particles in a given
density profile, and also by considering closed-shell neutral atoms
and ions, up to the Bohr atom densities, which provide the limit of
highly ionized atoms. We compute the functional in a numerically accurate
way and determine a second-order gradient coefficient for the neutral-atoms
case. We also discuss differences with the work of refs (23 and 24), providing an analysis that should also be relevant for the exchange
and correlation functionals of DFT. In section , along similar lines, we extract the GEA2
coefficient for the next leading term of the MP AC large-coupling-strength
expansion. The computational details are described in section , and the last section (section) is devoted to conclusions
and perspectives. More technical details, a curious behavior of N = 2 ions, and the discussion of an electrostatic model
similar to the one used to derive the GEA2 coefficient of DFT are
reported in the Appendix. Hartree atomic units
will be used throughout this work.
The Large
Coupling Strength Functionals of the
Møller–Plesset Adiabatic Connection
The Møller–Plesset
Adiabatic Connection
To start, we must introduce the Møller–Plesset
Adiabatic
Connection (MP AC), which has the following Hamiltonian:with T̂ the kinetic
energy, V̂ee the electron–electron
repulsion, and V̂ext the external
potential due to the nuclei. The operators Ĵ = Ĵ[ρHF] and K̂ = K̂[{ϕHF}] are the standard
Hartree–Fock (HF) Coulomb and exchange operators in terms of
the HF density ρHF and the corresponding occupied
orbitals ϕHF, respectively, which are determined in the
initial HF calculation and are not dependent on λ. Notice that,
in our notation, K̂ is positive definite. This
Hamiltonian links the Hartree–Fock system (λ = 0) to
the physical system (λ = 1). The HF (or standard wave function
theory) correlation energy, using the Hellmann–Feynman theorem,
is given bywith WHF being
the MP AC integrand,and Ψλ the
wave function
that minimizes the expectation value of the Hamiltonian of eq . The last two terms, U[ρHF] and E[{ϕHF}], are the Hartree energy and the HF
exchange energy, respectively, whose sum gives minus the expectation
value of V̂ – Ĵ + K̂ on the HF Slater determinant
(see right column of Table ). The small-λ expansion of WHF is the familiar MP perturbation series,
The λ
→ ∞ Expansion of
the Møller–Plesset Adiabatic Connection
The large-λ
expansion of the MP AC has recently been uncovered[19,20] for closed-shell systems as follows:The leading order, eq , contains the electrostatic-energy
density
functional Eel[ρ], which entails
a classical electrostatic minimization,withandThe density functional Eel[ρ] can
be understood as the total electrostatic energy
of a distribution of N negative point charges and
continuous “positive” charges with density ρ(r). In other words, the λ → ∞ limit of
the MP AC is a crystal of classical electrons bound by minus the Hartree
potential generated by the HF density.[19,20] The resulting
minimizing positions {r1min... rmin} in eq , in turn, determine the next leading
term, for which eq provides
a rigorous variational estimate for closed-shell systems.[20] This term is given by zero-point oscillations
around the minimizing positions enhanced by the exchange operator K̂, which mixes in excited harmonic oscillator states.[20] Finally, the sum in eq only runs over those minimizing positions
of eq that happen to
be at a nucleus, and it is also a variational estimate.[20] These first three leading terms provide a rigorous
framework to link MP perturbation theory with DFT, in terms of functionals
of the HF density. In practice, we do not want to perform each time
the classical minimization of eq , which is known to have many local minima and whose cost
increases rapidly with N. We rather wish to find
good gradient expansion approximations for the first two terms in
the expansion described by eq 5. The third term, W3/4HF of eq , could instead
be approximated by making the assumption that, in a large system,
there is one minimizing position at each nucleus, transforming it
into a functional of the HF density at the nuclei.
Comparison with the λ → ∞
Expansion of the DFT AC
In a recent work where an interpolation
for WHF between MP2 and the λ →
∞ limit has been built and tested,[18] the functional WHF of eq has been approximated in terms of the strong
interaction limit of the DFT AC, using the following inequality:[19]The DFT AC of the central column of Table uses the Hamiltonian,with V̂λ[ρ] = ∑vλ(r, [ρ])
being the one-body potential that forces the density to be equal to
the physical one for all values of λ. With this Hamiltonian,
the KS exchange-correlation (XC) energy is given bywhere the DFT coupling constant integrand
isand ΨλDFT[ρ] is the wave function that
minimizes the expectation value of eq . Although the λ → ∞ expansion
of the DFT AC has a similar form as the MP AC one of eq , there are important differences
between the two. The first one is the lack of the λ–3/4 term in the DFT AC, which has the following large-coupling expansion:[4,7]The reason why the MP AC can have a λ–3/4 term is that in this case there is no
constraint on the density, and the electrons thus localize around
the minimizing positions {r1min... rmin}. The density approaches asymptotically,
as λ →
∞, a sum of Dirac delta functions centered around these minimizing
positions. If one of the rmin happens to be at a
nucleus, the nonanalyticity of the Coulomb nuclear attraction and
of the cusp in the HF orbitals and density give rise to this term.[20]In the DFT AC case, the density constraint
enforces Ψ∞DFT to be a superposition of infinitely many classical configurations,[4] so the one with an electron at a nucleus has
infinitesimal weight.The inequality described by eq can be understood on simple physical
terms: the functional W∞DFT[ρ] can be reformulated as[21]where we
have simply used the fact that the
expectation of Ĵ[ρ] on any wave function
with density ρ(r) is 2U[ρ].
Then, we can interpret[21]W∞DFT[ρ] as the electrostatic energy of a system of classical electrons
forced to have density ρ immersed in a classical background
of charge density ρ of opposite sign. Notice that Ψ∞DFT[ρ] does not minimize this electrostatic energy, but it is given
byThe functional Eel[ρ] of eq , in
contrast, is obtained by letting Ψ relax to its minimum in eq , which directly impliesAdding EHF to both sides
of this inequality yields eq .
Semilocal Functionals for the λ →
∞ Expansion of the DFT AC
In ref (18). parameters were added
to both terms on the right-hand-side of eq to be fitted to the S22 dataset.[30,31] This inequality was used due to the lack of approximations for Eel[ρ], but also to allow the functional
to be more flexible to approximate the missing but very large second-order
term. Although the exact evaluation of W∞DFT[ρ]
is even more expensive than the one of W∞HF[ρ],
an inexpensive[21] but accurate[4,7] approximation called the Point Charge Plus Continuum (PC) model
exists, which is a GEA2 functional:with APC = and BPC = ≈ 0.005317. The PC model was built
from the physical interpretation of W∞DFT[ρ]
provided by eq : perfectly
correlated electrons that need to minimize their interaction while
giving the same density ρ of the classical positive background
will tend to neutralize the classical charge distribution
ρ (which is different than minimize the total
electrostatic energy, as in Eel[ρ]).
Along similar lines, by considering zero-point oscillations around
the PC positions, a GEA2 functional for the second-order term, was
constructed:[21]with CPC = 1/2(3π)1/2 ≈ 1.535 and, from
ref (7), DPC = −0.028957,
where DPC is fixed to reproduce the helium-atom
exact result.[7] In newer work by Constantin,[16] GGA functionals for both terms were derived
to fix, among other things, the diverging asymptotics of the XC potentials.[32] However, these GGA’s have larger errors
than the original PC model when compared with accurate SCE values
for small atoms. Notice that, in contrast to the DFT AC (where self-consistent
calculations should in principle be carried out), we here do not need
the functional derivatives of these quantities, as the MP AC is designed
to directly give the HF correlation energy in a post-self-consistent-field
manner.
Second-Order Gradient Expansion
for Eel[ρ]
In this section, we wish to derive a gradient
expansion for Eel[ρ] of eq . As detailed in Appendix C, we cannot proceed along lines similar
to the derivation of the
PC model used for the DFT AC, because the charge distribution with
the electrostatic energy Eel[ρ]
cannot easily be divided into weakly interacting cells. Moreover,
we are only interested in Eel[ρ]
for ρ(r) that are HF densities of atoms and molecules.
For this reason, we follow the procedure used for the DFT exchange
functional EDFT[ρ] in refs (23 and 24) with some modifications. This procedure extracts the GEA2 coefficient
from accurate data, and is very suitable because, under uniform coordinate
scaling at fixed particle number N,our functional Eel[ρ] displays the same scaling behavior
as exchange,since vH([ργ], r) = γvH([ρ], γr) and U[ργ] = γU[ρ].In practice, we wish to determine whether,
for slowly varying densities, Eel[ρ]
is well-approximated by a second-order
gradient expansion:The powers ρ(r)4/3 in the two terms
of this expression are a necessary consequence
of the exact scaling law of eq . Defining the usual reduced gradient x of
the density ρ,which
essentially gives the relative change
of the density on the scale of the average interparticle distance, eq can also be written
asThe GEA2 expression should
become more and
more accurate as x → 0, and our goal
is to determine the values of AHF and BHF. As we will discuss later, while AHF is universal, the coefficient BHF seems to be dependent on how the slowly varying limit
is approached, similarly to what happens with the DFT exchange functional.[23,27]
LDA Coefficient AHF
The uniform density limit N →
∞ of a constant droplet density with radius R = N1/3r, taken per particle:is equivalent to the jellium case[33] and
has been analyzed already in ref (20). The result is the Wigner
crystal energy per particle,[34], leading toNotice that AHF = ADFT, where
the latter is slightly
different than the PC value APC, which
replaces 0.8959 ... with 0.9. Note the rigorous proof in refs (33 and 35) that ADFT is in fact exactly given by
the Wigner crystal.
Particle-Number Scalings
As discussed
in refs (23 and 24), the slowly
varying limit can be approached in different ways. An extended system
with uniform density can be perturbed with a slowly varying density
distortion, but the resulting GEA2 coefficient might not be the one
useful for chemistry.[23] More generally[23,36] for any functional that scales as eq , we can reach the slowly varying limit by simply putting
more and more electrons in a density profile ρ̅(r) with ∫dr ρ̅(r) = 1, by generating a discrete sequence of densities with increasing
particle numbers N = 1, 2, 3, ..., using the
scaling[36]With growing N,
for all these
densities the reduced gradient of eq becomes increasingly weak,provided thatExamples of relevant
values of p areFor any density functional G[ρ]
that,
under the uniform coordinate scaling of eq , behaves asfor
a fixed profile ρ̅, all the
different choices of p in eq are equivalent and simply related to the
case p = 0,For functionals that do not display a simple
scaling behavior, like correlation in DFT, different values of p lead to different interesting regimes, as discussed in
refs (23 and 36).p = 1/3: the Thomas–Fermi scaling
of neutral atoms[23,28,37]N = Z;p = −2/3: the Thomas–Fermi
scaling of the Bohr atoms;[27,28,38,39]p = 0: the scaling used in refs (40−42) to analyze the Lieb–Oxford
bound;p = −1/3:
the scaling used in
ref (43) to analyze
the asymptotic exactness of the local density approximation.When N grows, because
of eq , we expect
the gradient expansion of eq to become more and more accurate. Then, by inserting the
density ρ̅ into eq , one gets the following
large-N expansionwhereClearly, eq holds only as long as
the integrals ILDA[ρ̅] and IGEA2[ρ̅] are finite for the given
density profile ρ̅.
In refs (23, 24) the fact
that the neutral atoms densities for large N asymptotically
satisfy the Thomas–Fermi (TF) scaling with p = 1/3,with ρ̅TFna(r) the TF profile (integrating to 1) for
neutral atoms,[25−28,37] led to the conclusion that their
exchange energy, as a function of N = Z should have, to leading orders, the large-N expansion aN5/3+bN. Extracting b from
exchange energies of neutral atoms allowed to fix the GEA2 coefficient
for exchange in ref (24). However, while the GEA2 integral IGEA2[ρ] for neutral
atoms is finite, the integral IGEA2[ρ̅TFna] for the asymptotic TF profile diverges (while ILDA[ρ̅TFna] is also finite).
This does not automatically imply that IGEA2[ρ] should
not increase linearly with N, as expected from eq with p = 1/3, since TF theory should not give exact information at this
order. Nonetheless, we find numerical evidence (see Figure ) that the GEA2 integral IGEA2[ρHF] for Hartree–Fock densities of neutral atoms increases as N log(N) rather than as N.
Figure 1
GEA2 integral of eq for the Hartree–Fock densities of neutral atoms, IGEA2[ρ], divided by the number of electrons N (log scale on the x-axis). Numerical values (red
dots) are compared with a logarithmic fit (blue line).
GEA2 integral of eq for the Hartree–Fock densities of neutral atoms, IGEA2[ρ], divided by the number of electrons N (log scale on the x-axis). Numerical values (red
dots) are compared with a logarithmic fit (blue line).A case for which it is even simpler to make a detailed numerical
analysis of IGEA2 is the Bohr atoms,[27,28,38] which have densities constructed
by occupying hydrogenic orbitals:and can
be considered[27,38] as a limiting case for ions with Z ≫ N. The
latter have densities
that, as Z → ∞, approach those
of the Bohr atom scaled as in eq with γ = Z,As N → ∞,
the
densities ρBohr(r) of eq approach the Bohr atom TF profile[27,28,38] ρ̅TFBohr with p = −2/3,Again, ILDA[ρ̅TFBohr] is finite while IGEA2[ρ̅TFBohr] diverges.If eq would hold
with p = −2/3, IGEA2[ρBohr] should have a tendency toward a constant
when N → ∞. Instead, we clearly see
(Figure ) that it
grows as log(N). For this case, everything is analytic
and it is easy to reach very large N, evaluating
the GEA2 integral to high accuracy.
Figure 2
GEA2 integral of eq for the Bohr atom densities, IGEA2[ρBohr] (log scale on the x-axis). Numerical values (red
dots) are compared with a logarithmic fit (blue line).
GEA2 integral of eq for the Bohr atom densities, IGEA2[ρBohr] (log scale on the x-axis). Numerical values (red
dots) are compared with a logarithmic fit (blue line).A detailed derivation of the behavior of IGEA2[ρ], as a function of N for
neutral
atoms and for Bohr atoms, confirming the numerical evidence reported
here, is also being performed independently by Argaman et al.[44]
Extracting the GEA2 Coefficient BHF
The analysis in the previous section
suggests
that extraction of the GEA2 coefficient should not be done by using
values of Eel[ρ], as a function
of N and fitting coefficients from eq , as this seems to be safe only
for a scaled known profile (as in eq ), but not for atomic densities. For this reason, we
follow a route slightly different than the one used for exchange in
ref (24). Namely, we
directly computeThe idea is that if a GEA2
expansion for Eel[ρ] exists, we
should observe that B̃(N →
∞) tends to
a constant, which will be the sought BHF. However, such constant might not be the same for different profiles
ρ̅ or when we use the neutral atoms or the Bohr atom densities.
Indeed, this seems to be the case: in Figure , we show for different particle numbers N:The computational
details behind the evaluation of Eel[ρ]
for each case are described in section . We see that these
four sequences of data for B̃(N) seem to approach four different limits as N grows.
Regarding the Bohr atoms, the cases for which the value of B̃(N) suddenly decreases to a value
much closer to the one of neutral atoms are those in which we added
an extra pair of s electrons to a completely filled
shell. For example, N = 12 is obtained by adding
3s2 to the filled n =
2 shell, and similarly for N = 30 and N = 62. The case N = 25 is realized by filling the
orbitals as in the Mn atom. From Figure we can conclude that there exists no unique
GEA2 and that we should choose one of these BHF’s for our new GEA2 functional. As for the case of
the exchange functional,[23,24] the most useful value
for chemistry should be the one of neutral atoms.
Figure 3
Plot of eq for
the four cases described in section .
Our numerical values B̃(N) for the exponential profileOur
numerical values B̃(N) for
the Gaussian profileOur numerical values B̃(N) for the Hartree–Fock densities ρHF(r) of neutral atoms.Our numerical values B̃(N) for the Bohr atom densities
ρBohr(r) of eq , including some cases in which we did not completely
fill all the values for
a given principal quantum number n. Notice that these
latter cases cannot always be seen
as the limit of highly ionized atoms, as degeneracy must be taken
into account more carefully.Plot of eq for
the four cases described in section .We noticed that if we fix BHF to make
the GEA2 exact for the spin-unpolarized H atom[20] (with 1/2 spin-up and 1/2 spin-down electrons[45]),we recover the large N limit
of closed-shell neutral atoms and closed-shell ions with charges +1,
+2, and −1 quite closely, as shown in Figure . We thus fix the GEA2 coefficient BHF to this value, which seems to be as good
as a fitted one, although we lack at this point a theoretical justification
of why the H[1/2, 1/2] should provide such a good number.
In Figure , we show
the relative error of the GEA2 expansion, which, as expected, goes
to zero for large neutral atoms and slightly charged ions.
Figure 4
Value BH[HF = −0.0150578
that makes the GEA2 exact for the spin-unpolarized
H atom accurately recovers the large N limit of B̃(N) of eq for closed-shell neutral atoms (q = 0) and slightly charged closed shell ions, with q = +1, +2, and −1.
Figure 5
Relative
error of the GEA2 expansion for the functional Eel[ρ] with BHF = BHHF[ = −0.0150578
for closed-shell neutral atoms (q = 0) and ions with q = +1, +2, and −1.
Value BH[HF = −0.0150578
that makes the GEA2 exact for the spin-unpolarized
H atom accurately recovers the large N limit of B̃(N) of eq for closed-shell neutral atoms (q = 0) and slightly charged closed shell ions, with q = +1, +2, and −1.Relative
error of the GEA2 expansion for the functional Eel[ρ] with BHF = BHHF[ = −0.0150578
for closed-shell neutral atoms (q = 0) and ions with q = +1, +2, and −1.However, we should stress that the GEA2 with BHF of eq misses
the other[27] slowly varying limit
of Bohr atoms with large N, which can be regarded
as the limit[27]Z ≫ N ≫ 1. To better illustrate the issue, we show in Figure the values B̃(N) only for the closed-shell neutral
atoms, the Bohr atoms and for selected noble-gas isoelectronic series:
we then see how B̃(N) goes
from one limit to the other as the nuclear charge Z is increased at a fixed electron number N. An approximation
able to cover this entire range of values could possibly be designed
as a metaGGA, which is a route that will be investigated in future
work.
Figure 6
B̃(N) of eq for neutral atoms, Bohr atoms
and for selected noble-gas isoelectronic series. We see how B̃(N) goes from one limit to the
other as the nuclear charge Z is increased at fixed N.
B̃(N) of eq for neutral atoms, Bohr atoms
and for selected noble-gas isoelectronic series. We see how B̃(N) goes from one limit to the
other as the nuclear charge Z is increased at fixed N.
Second-Order
Gradient Expansion for W1/2HF[ρ]
Once the minimization
to obtain Eel[ρ] is performed, we
automatically get the functional W1/2HF[ρ] of eq by
evaluating the HF density in the minimizing positions rmin. We should still stress that, while the leading term of eq is exact, eq is only a variational estimate
valid for closed-shell systems within restricted HF.[20] Nevertheless, we can repeat the analysis of the previous
section to obtain a GEA2, which, because of the fact that W1/2HF[ρ] satisfies eq with m = 3/2, must have the same form as the one
for the DFT case of eq :
LDA Coefficient CHF
Within the variational expression
of eq , the LDA coefficient CHF is readily evaluated[20] and equal
to 2.8687. Notice that this is not the exact value for a uniform HF
density, which should be evaluated by computing the normal modes around
the bcc positions in the Wigner crystal and minimizing the total energy
in the presence of the nonlocal operator K̂, which will mix in excited modes. This analysis, using the techniques
recently introduced by Alves et al.,[34] is
the object of a work in progress.
Extraction
of the GEA2 Coefficient DHF
We
focus only on the relevant case
of closed-shell neutral atoms and slightly charged ions, and, in analogy
with eq , we compute
and analyze the functionThe results are shown in Figure , where we see that D̃(N) gets rather flat already at N ≳ 30 around the value of ∼0.11. However,
we also see a step to a slightly higher value, ∼0.13, for the
largest N. We do not know whether this step is really
there or whether it is due to the numerical minimization being trapped
in a local minimum. The issue is that, as N increases,
there are many local minima with very close values of Eel[ρ], which therefore remains rather insensitive
if the true global minimum is not reached. However, the functional W1/2HF[ρ] is dependent on the minimizing configuration and it changes
more from one local minimum to another. We illustrate this in Appendix B for the case N = 2,
which undergoes a transition from a symmetric to an asymmetric minimum
as the nuclear charge Z varies from 2 to 1. From
the data of Figure , we can get a rough estimate DHF ≈
0.12 ± 0.01.
Figure 7
Values of D̃(N) of eq for closed-shell
neutral
atoms (q = 0) and slightly charged closed shell ions,
with q = +1, +2, and −1.
Values of D̃(N) of eq for closed-shell
neutral
atoms (q = 0) and slightly charged closed shell ions,
with q = +1, +2, and −1.
Computational Details
To obtain reference
values for Eel[ρ]
for closed-shell neutral atoms and slightly charged ions, we first
performed RHF calculations with PySCF 1.7.6,[46] with the basis sets specified in Appendix A. For a given set of positions {r1, r2, ..., r}, we calculated the value of Vel, whereWe computed
the value of vH[ρHF](r) by contracting,where γHF is the Hartree–Fock
1-body Reduced Density Matrix (1-RDM) and the matrix element is given
bywhere a very sharply peaked Gaussian G was used to approximate the point charge, which allows
for a more efficient computation of the matrix elements using PySCF.
To allow for minimization using a quasi-Newton method, we also obtained
the gradient of the Hartree potential,The total gradient
then isFinally, Eel[ρHF] was
obtained by minimizing Vel[ρHF] using the Broyden–Fletcher–Goldfarb–Shanno
(BFGS) algorithm[47−50] as in the scipy.optimize.minimize function
of scipy.[51]For selected cases, such as Ne and Ar, we have also double-checked
the minimum by using Mathematica 12.3.1, experimenting with different
minimizers. For the scaled densities and the Bohr atoms, we have used
both Mathematica and Python with the same scipy.optimize.minimize function used for the HF densities.
Conclusions
and Perspectives
We have built second-order gradient expansions
for the functionals
of the large-coupling-strength limit (see last line of the right column
of Table ) of the
adiabatic connection that has the Møller–Plesset perturbation
series as small-coupling-strength expansion (see eqs and 45).
For this purpose, we have used ideas from the literature based on
the semiclassical limit of neutral and highly ionized atoms.[23,24,28] During our study, we have also
found numerical evidence (see section and Figures and 2) that suggests
that the way this semiclassical limit has been used to extract second-order
gradient coefficients for exchange should be revised.[23,24,29]In future work, we will
design and test new formulas for the adiabatic
connection (AC) of the right-hand side of Table that interpolate between MP2 and these new
semilocal functionals at large coupling, including the term proportional
to λ–3/4, which can be approximated as a functional
of the HF density at the nuclei. Previous work[18] showed that such functionals can be very accurate for noncovalent
interactions, correcting the MP2 error for relatively large systems
without using dispersion corrections. We will also analyze in the
same way the functionals at strong coupling of the DFT AC (last line
of the central column of Table ), although, in this case, obtaining accurate results for
large neutral atoms is numerically challenging.
Table 2
Distances from the Nucleus of the
Minimizing Positions r1 and r2 (Hartree atomic units), Eel[ρ] and W1/2HF[ρ] of the Symmetric Local Minimum and
Asymmetric Global Minimum of H–
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