A Density-Functional Theory for Covalent and Noncovalent Chemistry • Review of the XDM (exchange-hole dipole moment) dispersion model of Becke and Johnson • Combining the model with non-empirical exchange-correlation GGAs (Kannemann and Becke) • Tests on standard bio-organic benchmark Non-empirical and fast
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A Density-Functional Theory for Covalent and Noncovalent Chemistry Review of the XDM (exchange-hole dipole moment) dispersion model of Becke and Johnson.
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A Density-Functional Theory for Covalent and Noncovalent
Chemistry
• Review of the XDM (exchange-hole dipole moment) dispersion model of Becke and Johnson
• Combining the model with non-empirical exchange-correlation GGAs (Kannemann and Becke)
• Tests on standard bio-organic benchmark sets
Non-empirical and fast
Dispersion Interactions from the Exchange-Hole Dipole Moment:
Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
(*now at University of California, Merced)
What is the source of the “instantaneous” multipole moments that generate the dispersion interaction?
Suggestion:
Becke and Johnson, J. Chem. Phys. 122, 154104 (2005)
> Becke and Johnson, J. Chem. Phys. 127, 154108 (2007) <
The dipole moment of the exchange hole!(Position, rather than time, dependent)
In Hartree-Fock theory, the total energy of many-electron system is given by:
Xnuci
iiHF Eddr
dVdE 23
13
12
213
,
32 )()(
2
1
2
1rr
rrrr
N
ii
1
2
23
13
12
2211 )()()()(
2
1rr
rrrrdd
rE
ij
jijiX
XXX EEE
The “exchange” energy
)()()()()(
1),( 2211
121 rrrr
rrr
jij
ijiXh
13
23
12
211
),()(
2
1rr
rrr dd
r
hE X
X
The Exchange Hole
The ( -spin) exchange energy can be rewritten as follows:
where
is called the “exchange hole”.
Physical interpretation: each electron interacts with a “hole” whose shape (in terms of r2) depends on the electron’s position r1.
When an electron is at r1, the hole measures the depletion of probability, with respect to the total electron density, of finding another electron of the same spin at r2. This arises from exchange antisymmetry.
• The hole is always negative.
• The probability of finding another same-spin electron at r2=r1 (“on top” of the reference electron) is completely extinguished:
)(),( 111 rrr Xh
Pauli or exchange “repulsion”!
• The hole always contains exactly (minus) one electron:
1),( 23
21 rrr dhX
It is simple to prove that…
1111
1 )()()(
1)( rrrr
rrd ijX
ijji
23
222 )()( rrrrrij dji
Note that only occupied orbitals are involved.
An electron plus its exchange hole always has zero total charge but in general a non-zero dipole moment! This r1-dependent dipole moment is easily obtained by integrating over r2:
(This reduces, for the H atom, to the exact dipole moment of the H atom when the electron is at r1.)
Dispersion Model: the Basic Idea
h (r - dX, )
e- (r, )
Nucleus
dX
])([ Xdrr
In a spherical atom, consider the following simplified “2-point” picture:
Notice that this picture generates higher multipole moments as well (with respect to the
nucleus as origin) given by
and that all these moments depend only on the magnitude of the exchange-hole dipole moment.
This is significant because the magnitude dX(r) of the exchange-hole dipole moment can be approximated using local densities and the Becke-Roussel exchange-hole model [Phys. Rev. A 39, 3761 (1989)], a 2nd-order GGA:
where b is the displacement from the reference point of the mean position of the BR model hole [Becke and Johnson, J. Chem. Phys. 123, 154101 (2005)].
bd X )(r
Therefore, the entire van der Waals theory that follows has two variants:
Orbital (XX) based, or Density-functional (BR) based
XX performs slightly better in rare-gas systems.
BR performs better in intermolecular complexes.
All our current work employs the BR (DFT) variant.
rA
rBVint(rA,rB)
Vint(rA,rB) = multipole moments of electron+hole at rA interacting with
multipole moments of electron+hole at rB
The Dispersion Interaction: Spherical Atoms
2nd-Order Ground-State Perturbation Theory in the Closure (Ünsold) Approximation
If the first-order, ground-state energy correction arising from a perturbation Vpert is zero:
Then the second-order correction is approximately given by
avg
pert
E
VE
2
)2(
0)1( pertVE
where the expectation values are in the ground state and
is the average excitation energy. avgE
To evaluate the expectation value <Vint2>
square the multipole-multipole interaction Vint(rA,rB):
Then integrate the squared interaction over all rA and rB.
This is a “semiclassical” calculation of <Vint2>.
The result is 1010
88
66
R
C
R
C
R
CEdisp
avg
BA
avg
BABA
EEC
22
22
21
23
23
21
10 5
14
3
4
avg
BABA
EC
2
122
22
21
8
avg
BA
EC
2
12
16 3
2 where
rr 322 ])()[( ddrr X
with atomic moment integrals given by
What about ? avgE
BAavg EEE Assume that and that, for each atom,
3
2 21
E
where α is its dipole polarizability. This easily follows from the same “semiclassical” 2nd-order perturbation theory applied to the polarizability of each atom.
Thus our C6, C8, C10’s depend on atomic polarizabilities and moment integrations from Hartree-Fock (or KS) calculations!
No fitted parameters or explicitly correlated wavefunctions!
How well does it work?
On the 21 pairs of the atoms H, He, Ne, Ar, Kr, Xe,
the mean absolute percent errors are:
C6 3.4 %
C8 21.5 %
C10 21.5 %
From Free Atoms to Atoms in Molecules
• Partition a molecular system into “atoms” using Hirshfeld weight functions:
n
atn
ati
iw)(
)()(
r
rr
where at is a spherical free atomic density placed at the appropriate nucleus and the n summation is over all nuclei.
)(riw has value close to 1 at points near nucleus i and close to 0 elsewhere. Also,
i
iw 1)(r
• Assume that an intermolecular Cm (m=6,8,10) can be written as a sum of interatomic Cm,ij :
A
i
B
jijCC ,mm
i in A j in B
In the previous expressions for Cm replace A and B with i and j :
)(3
22
12
1,6
ji
jiij EE
C
)(
21
22
22
21
,8ji
jijiij EE
C
)(5
14
)(3
422
22
21
23
23
21
,10ji
ji
ji
jijiij EEEE
C
with i 2 generalized to
rrr 322 ])()[()( ddrrw Xii
and,
i
iiE
3
2 21
where i is the effective polarizability of atom i in A. We propose that
freeifreei
ii r
r,
,3
3
rrr 333 )()( dwrr ii rr 3,
3,
3 )( drr freeifreei
These are effective volume integrations. This is motivated by the well known qualitative (if not quantitative) general relationship between polarizability and volume. See Kannemann and Becke, JCP 136, 034109 (2012).
All radii r in the above integrals and in the integrals for are with respect to the position of nucleus i.
i 2
Test set: H2 and N2 with He, Ne, Ar, Kr, and Xe.
Cl2 with He, Ne, Ar, Kr, and Xe (except C10).
H2-H2 H2-N2 N2-N2 (only H2-H2 for C10).
Fully-numerical Hartree-Fock calculations on the monomers using the NUMOL program (Becke and Dickson, 1989).
MAPEs with respect to dispersion coefficients from frequency dependent MBPT polarizabilities:
12.7% for C6 16.5% for C8 11.9% for C10
(On a much more extensive test set of 178 intermolecular C6’s, the model has a MAPE of 9.1%)
Atom-Molecule and Molecule-Molecule Dispersion Coefficients
Everything, so far, has been about the asymptotic dispersion series between atom pairs,
The asymptotic series needs to be damped in order to avoid divergences when R is small.
i.e. need information about characteristic R values inside of which the asymptotic series is no longer valid.
The usual approach is to use empirical vdW radii.
However…
1010
88
66
R
C
R
C
R
CEdisp
“Critical” Interatomic Separation
Since we can compute C6, C8, and C10 non-empirically, we can obtain non-empirical range information.
There is a “critical” Rc,ij where the three dispersion terms are approximately equal:
Take Rc,ij as the average of , , and
The asymptotic dispersion series is obviously meaningless inside Rc,ij. Therefore …
… we use Rc,ij to damp the dispersion energy at small internuclear separations as follows:
where Rvdw,ij is an effective van der Waals separation with only two universal fit parameters. Best-fit a1 and a2 values depend on the exchange-correlation theories with which the above is combined.
… which brings us to the second part of the talk …
General Dispersion Energy Formula
2,1, aRaR ijcijvdW
ji ijijvdW
ij
ijijvdW
ij
ijijvdW
ijdisp RR
C
RR
C
RR
CE
1010,
,10
88,
,8
66,
,6
A. D. Becke and E. R. Johnson, J. Chem. Phys. 127, 154108 (2007)
Dispersion coefficients
E. R. Johnson and A. D. Becke, J. Chem. Phys. 124, 174104 (2006)
Damping functions
A. D. Becke and E. R. Johnson, J. Chem. Phys. 123, 154101 (2005)
PW86 is a completely non-empirical exchange functional!
Its 4 parameters are fit to a theoretical exchange-hole model.
Perdew and Wang, PRB 33, 8800 (1986)
)()( sgeE XLDAXX
15/164286 2.014296.11)( ssssg PWX
3/43/12 )3(2
s
That PW86 accurately reproduces Hartree-Fock repulsion energies is remarkable. The underlying theoretical model (truncated “GEA” hole) knows nothing about closed-shell atomic or molecular interactions! Could be a fortuitous accident?!
Nevertheless, no parameters need to be fit to data
ji ijijvdW
ij
ijijvdW
ij
ijijvdW
ijXDMdisp RR
C
RR
C
RR
CE
1010,
,10
88,
,8
66,
,6
2
1
2,1, aRaR ijcijvdW
XDMdisp
PBEC
PWXXC EEEE 86
Now, what about (dynamical) correlation?
Use the non-empirical “PBE” correlation functional:
Perdew, Burke, and Ernzerhof, PRL 77, 3865 (1996)
Therefore we have,
with a1 and a2 to be determined.
How to determine a1 and a2?
Fit to the binding energies of the prototypical dispersion-bound rare-gas systems
He2 HeNe HeAr Ne2 NeAr Ar2
(reference data from Tang and Toennies, JCP 118, 4976 (2003))
At the CBS limit, we find the best-fit values
a1=0.65 a2=1.68
(Kannemann and Becke, to be published)
Gaussian 09, aug-cc-pV5Z, counterpoise, ultrafine grid, BEs in microHartree
a1 = 0.65 a2 = 1.68Å
RMS%E = 4.2%
Note that in all subsequent benchmarking there is no (re)fitting of parameters!
Our functional is, from here on, essentially nonempirical in all its parts.
F.O. Kannemann and A.D. Becke, JCTC 5, 719 (2009)
Rare-gas diatomics (numerical post-LDA)
F.O. Kannemann and A. D. Becke, JCTC 6, 1081 (2010)
Intermolecular complexes (numerical post-LDA)
A.D. Becke, A.A. Arabi and F.O.Kannemann, Can. J. Chem. 88, 1057 (2010)
Dunning aDZ and aTZ basis-set calculations (post-G09)
The next slides contain Mean Absolute Deviations (MADs) for the S22 and the S66 benchmark sets in comparison with other popular DFT methods. Data for all methods other than ours are from
Goerigk, Kruse & Grimme, CPC 12, 3421 (2011)
All computations employ the def2-QZVP basis set
PW86PBE-XDMno CP (0.30)CP (0.28)
S66
PW86PBE-XDMno CP (0.27)CP (0.23)
Aside
Can we do better by combining XDM with hybrid functionals?
(rather than the pure GGA, PW86+PBE)
Burns, Vazquez-Mayagoitia, Sumpter, Sherrill, JCP 134, 084107 (2011) S22 MAD (kcal/mol) for B3LYP-XDM and other DFT methods
However
• The pure GGA, PW86+PBE, is completely nonempirical (B3LYP, with 3 fitted parameters, is not)
• Density-fit basis sets can speed up pure GGA calculations, with no loss of accuracy, by an order of magnitude!
Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
S66x8
A benchmark set of 66 vdW complexes of bio-organic interest, at 8 intermonomer separations:
0.90, 0.95, 1.00, 1.05, 1.10, 1.25, 1.50, 2.00
(relative to the equilibrium intermonomer separation)
Rezac, Riley, Hobza JCTC 7, 2427 (2011)
Important because complex systems and materials may contain many vdW interactions between groups at nonequilibrium
(especially stretched) geometries!
Mean Percent Errors (MPEs)
versus geometry
0.90 1.00 1.10 1.25 1.50 2.00-50
-40
-30
-20
-10
0
10
distance multiplier
MP
E [
%]
PW86PBE+XDM
M06-2X
M05-2X
M06L
0.90 1.00 1.10 1.25 1.50 2.00-20
-15
-10
-5
0
5
10
15
20
25
distance multiplier
MP
E [
%]
PW86PBE+XDM
M06-2X-D3
M05-2X-D3
M06L-D3
0.90 1.00 1.10 1.25 1.50 2.00-20
-15
-10
-5
0
5
10
15
20
25
distance multiplier
MP
E [
%]
PW86PBE+XDM
PBE-D3
BLYP-D3
B97-D3
0.90 1.00 1.10 1.25 1.50 2.00-20
-15
-10
-5
0
5
10
distance multiplier
MP
E [
%]
PW86PBE+XDM
LC-ωPBE-D3
B3LYP-D3
B2-PLYP-D3
Mean Absolute Percent Errors (MAPEs)
versus geometry
0.90 1.00 1.10 1.25 1.50 2.000
10
20
30
40
50
60
70
80
distance multiplier
MA
PE
[%]
PW86PBE+XDM
M06-2X
M05-2X
M06L
0.90 1.00 1.10 1.25 1.50 2.000
5
10
15
20
25
30
35
distance multiplier
MA
PE
[%]
PW86PBE+XDM
M06-2X-D3
M05-2X-D3
M06L-D3
0.90 1.00 1.10 1.25 1.50 2.000
5
10
15
20
25
30
35
distance multiplier
MA
PE
[%]
PW86PBE+XDM
PBE-D3
BLYP-D3
B97-D3
0.90 1.00 1.10 1.25 1.50 2.000
5
10
15
20
25
30
35
distance multiplier
MA
PE
[%]
PW86PBE+XDM
LC-ωPBE-D3
B3LYP-D3
B2-PLYP-D3
pdf file of all S66x8 curves
(Notice the importance of the dispersion term!)
Interaction types in S66x8:
• H-bonding 23
• Dispersion 23
• Mixed (“other”) 20
Dispersion is further divided into:
pi-pi (10), aliphatic-aliphatic (5), and pi-aliphatic (8)
How good is PW86+PBE+XDM for ordinary thermochemistry?
Consider the functionalXDMdisp
PBEC
GGAXXC EEEE
with a variety of standard exchange GGAs in the first term.
On the “G3/99” benchmark set of 222 atomization energies of organic/inorganic molecules (Curtiss, Raghavachari, Pople) we obtain the following error statistics, in kcal/mol:
For standard hybrid functionals (eg., B3LYP) the MAE is of order 5-6 kcal/mol. The very best DFTs have MAE as small as 2-3 kcal/mol, but with fitted params!
Availability of XDM code
• Has been implemented (B3LYP-XDM) in Q-Chem by
Kong, Gan, Proynov, Freindorf, and Furlani, PRA 79, 042510 (2009)
• A “post-Gaussian09” code will be available from us by the end of 2012. Uses G09 to perform the PW86+PBE part, then adds XDM perturbatively. Can do Berny geometry optimizations using the EXTERNAL keyword! Very fast with density-fit basis sets!
Many thanks to:
Natural Sciences and Engineering Research Council of Canada
the Killam Trust of Dalhousie University (Killam Chair)
ACEnet (the Atlantic Computational Excellence Network)