Data sparse approximation of the Karhunen-Loeve expansion
PhD Defence Part 2
1. Second Order Generalized Van Vleck
Perturbation Theory Molecular Gradients
and Nonadiabatic CouplingTerms
Daniel P. Theis
University of North Dakota
Chemistry Department
Grand Forks, ND
3. 3
1. GVVPT2 is a post-MCSCF, perturbation based electronic structure method.
Benefits of the GVVPT2 Method
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
2. GVVPT2 can determine accurate electronic energies for systems with several low
lying, nearly degenerate electronic states.
3. GVVPT2 potential energy surfaces are continuous, differentiable functions of the
geometry, that ensure the evaluation of molecular gradients.
4. A highly efficient algorithm has been constructed for the GVVPT2 method, which
combines the advantages of the macroconfiguration and GUGA techniques.
4. 4
Λ
∈
Λ ∑=Ψ t
Lt
t
MRCI
AF
T
HMM
HQM
HMQ
HQQ
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
MCSCF
The GVVPT Methodology
◦ Relatively Small CSF space, LM
◦ Neglects Dynamic Correlation (LQ)
mI
Lm
m
MC
I CF
M
∑∈
=Ψ
◦ Large CSF Space, LT = LM ⊕ LQ
◦ Includes Dynamic Correlation.
MRCISD
( ) 0=−∑∈
′′
MLm
mImm
MC
Imm CEH δ
( ) 0=−∑∈
Λ
′Λ′
TLt
ttt
MRCI
tt AEH δ
5. 5
∑∈
Λ
Λ =Φ
MLm
mm
GV
AF
HQM
HMQ
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
eff
MMH
GVVPT Methods
The GVVPT Methodology
HQQ
,ˆ GVVGVV
ΛΛ ΦΩ=Ψ
( ) ,0=−∑∈
Λ
′Λ′
MLm
mmm
GVVeff
mm AEH δ
mm
eff
mm FHFH ′
+
ΩΩ= ˆˆˆ
◦ Heff
is the same dimension as HMM
◦ Perturbative corrections from HQM,
HMQ, and the diagonal elements of
HQQ add dynamic correlation.
7. 7
eff
QPH
eff
PQH
eff
PSH
eff
SPH
eff
PPH
eff
SSH
eff
SQH
eff
SQH
eff
QQH
( ) 0HH XX
== −−
QP
eff
QP ee
The GVVPT Methodology
Shavitt, I.; Redmon, L. T. J. Chem. Phys. 1980, 73, 5711.
Kuhler, K.; Hoffmann, M. R. J. Math. Chem. 1996, 20, 351.
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
X
e
ˆ
ˆ =Ω
QPQPPQPQX FXFFXF +
−=ˆ
The effective Hamiltonian is formed by:
• LM = LP ⊕ LS.
• Define Ω, X, and XQP such that:ˆ ˆ
◦
◦
◦
8. 8
eff
QPH
eff
PQH
eff
PSH
eff
SPH
eff
PPH
eff
SSH
eff
SQH
eff
SQH
eff
QQH
• Perturbatively expand Heff
and X.
( ) 0HH XX
== −−
QP
eff
QP ee
The GVVPT Methodology
Shavitt, I.; Redmon, L. T. J. Chem. Phys. 1980, 73, 5711.
Kuhler, K.; Hoffmann, M. R. J. Math. Chem. 1996, 20, 351.
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
X
e
ˆ
ˆ =Ω
QPQPPQPQX FXFFXF +
−=ˆ
The effective Hamiltonian is formed by:
• LM = LP ⊕ LS.
• Define Ω, X, and XQP such that:ˆ ˆ
◦
◦
◦
{ }( )+
++= )2()2(
2
1)2(
MMMMMM
eff
MM ZZHH
( ) PMQPMQPMMPMMM CXHCCIZ )1()2(
2 −=
GVVPT2 Effective Hamiltonian
9. 9
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
The Origen of GVVPT2’s Stable Potential Energy Curves
)1(
qIX
I
emε∆
a
2a
3a
4a
-4a
-3a
-2a
-a
a = HqI
I
Iq
II
qI
qI
ee
HH
X
mm εεε ∆
−=
−
−≈
0
)1(
( ) QIQ
MC
IQQQI E HIHX
1)1( −
−=
Kuhler, K.; Hoffmann, M. R. J. Math. Chem. 1996, 20, 351.
10. 10
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
)1(
qIX
I
emε∆
a
2a
3a
4a
-4a
-3a
-2a
-a
a = HqI
I
Iq
qI
e
E
H
X
m∆
−≈)1(
( ) ( )∑∈
+∆+∆=∆
e
eee
Lq
qI
III
HE
m
xxxx mmm
22
4
1
2
1
)()()()( εε◦
( ) QIQ
MC
IQQQI E HIHX
1)1( −
−=
Kuhler, K.; Hoffmann, M. R. J. Math. Chem. 1996, 20, 351.
The Origen of GVVPT2’s Stable Potential Energy Curves
11. 11
qI
I
qI HDX em≈)1(
Hoffmann, M. R. et. al. J. Chem. Phys. 2002, 117, 4133.
( )
I
I
I
e
e
e
E
E
D
m
m
m
∆
∆
−=
tanh
)1(
qIX
I
emε∆
a
2a
3a
4a
-4a
-3a
-2a
-a
a = HqI
◦
( ) QIQ
MC
IQQQI E HIHX
1)1( −
−=
Kuhler, K.; Hoffmann, M. R. J. Math. Chem. 1996, 20, 351.
The Origen of GVVPT2’s Stable Potential Energy Curves
12. 12
where each λj is determine from
…
e1(x;λ(x)) = 0
e2(x;λ(x)) = 0EΛ = EΛ(x;λ(x))
Determining Energy Gradients
Helgaker, T.; Jørgensen, P. Theor. Chim. Acta. 1989, 75, 111.
13. 13
( )
∑ ∂
∂
∂
∂
+
∂
∂
= ΛΛΛ
j a
j
jaa x
E
x
E
dx
dE λ
λ
)(; xλx
where each λj is determine from
…
e1(x;λ(x)) = 0
e2(x;λ(x)) = 0EΛ = EΛ(x;λ(x))
( ) 0
)(;
=
∂
∂
∂
∂
+
∂
∂
= ∑j a
j
j
i
a
i
a
i
x
e
x
e
dx
de λ
λ
xλx
a
j
x∂
∂λ
where each is determined from
Determining Energy Gradients
Helgaker, T.; Jørgensen, P. Theor. Chim. Acta. 1989, 75, 111.
14. 14
( ) ( ) ( )∑+= ΛΛ
i
ii eEL )(;)()(;)(),(; xλxxxλxxξxλx ξ
0=
∂
∂ Λ
j
L
λ
( ) 0)(; ==
∂
∂ Λ
xλxi
i
e
L
ξ
where the values for ξi and λj are determined by requiring
and
The Lagrangian Approach of Determining
Energy Gradients
Helgaker, T.; Jørgensen, P. Theor. Chim. Acta. 1989, 75, 111.
15. 15
The Lagrangian Approach of Determining
Energy Gradients
( ) ( ) ( )∑+= ΛΛ
i
ii eEL )(;)()(;)(),(; xλxxxλxxξxλx ξ
0=
∂
∂ Λ
j
L
λ
( ) 0)(; ==
∂
∂ Λ
xλxi
i
e
L
ξ
where the values for ξi and λj are determined by requiring
and
Under these conditions
( )
aaa x
L
dx
dL
dx
dE
∂
∂
== ΛΛΛ )(; xλx
Helgaker, T.; Jørgensen, P. Theor. Chim. Acta. 1989, 75, 111.
16. 16
The Lagrangian Approach of Determining
Energy Gradients
( ) ( ) ( )∑+= ΛΛ
i
ii eEL )(;)()(;)(),(; xλxxxλxxξxλx ξ
0=
∂
∂ Λ
j
L
λ
( ) 0)(; ==
∂
∂ Λ
xλxi
i
e
L
ξ
where the values for ξi and λj are determined by requiring
and
Under these conditions
( )
aaa x
L
dx
dL
dx
dE
∂
∂
== ΛΛΛ )(; xλx
Helgaker, T.; Jørgensen, P. Theor. Chim. Acta. 1989, 75, 111.
∂
∂
∂
∂
∂
∂
−=
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
Λ
Λ
Λ
n
n
n
n
nn
n
n
E
E
E
eee
eee
eee
λ
λ
λ
ξ
ξ
ξ
λλλ
λλλ
λλλ
2
1
0
01
01
21
22
2
2
1
11
2
1
1
)(
)(
)(
x
x
x
18. 18
( )∑∈
′
Λ
′
Λ
′Λ =
MLm
MP
rveff
mmmm
GVV
HAAE )(,)(,)(;)()()( xCxΔxΔxxxx•
Electron Structure Parameters that are used
in the GVVPT2 Calculations
( ) ( )∑∈
=Φ
MLm
mI
rv
mMP
rvMC
I CF )()(,)(;)(,)(,)(; xxΔxΔxxCxΔxΔxCmI(x) ~•
19. 19
( )∑∈
′
Λ
′
Λ
′Λ =
MLm
MP
rveff
mmmm
GVV
HAAE )(,)(,)(;)()()( xCxΔxΔxxxx•
Electron Structure Parameters that are used
in the GVVPT2 Calculations
( ) ( )∑∈
=Φ
MLm
mI
rv
mMP
rvMC
I CF )()(,)(;)(,)(,)(; xxΔxΔxxCxΔxΔxCmI(x) ~•
~)(and)( xx ab
r
ij
v
∆∆ ( ) ( ){ }∑∈
=
iGk
ki
omo
k
rvmo
i )(exp)()(,)(; xΔxxΔxΔx ϕφ
v
r
( ){ }∑ ∑≠ ∈
+
ik kGG Gk
ki
omo
k )(exp)( xΔxϕ
•
•
i∈GiNote:
20. 20
( )∑∈
′
Λ
′
Λ
′Λ =
MLm
MP
rveff
mmmm
GVV
HAAE )(,)(,)(;)()()( xCxΔxΔxxxx•
Electron Structure Parameters that are used
in the GVVPT2 Calculations
( ) ( )∑∈
=Φ
MLm
mI
rv
mMP
rvMC
I CF )()(,)(;)(,)(,)(; xxΔxΔxxCxΔxΔxCmI(x) ~•
~)(and)( xx ab
r
ij
v
∆∆ ( ) ( ){ }∑∈
=
iGk
ki
omo
k
rvmo
i )(exp)()(,)(; xΔxxΔxΔx ϕφ
v
r
( ){ }∑ ∑≠ ∈
+
ik kGG Gk
ki
omo
k )(exp)( xΔxϕ
•
•
i∈GiNote:
∑∑ +=
OMO
ijkl
b
omo
ijklA
omo
ijkl
OMO
ij
B
omo
ijA
omo
ijAB FeFgFEFhH
~
ˆ
~
)(
~ˆ~
)()( 2
1
xxx
21. 21
~ ( ) 1)(
2
=∑∈ MLm
mIC x [ ] 0)( =−∑∈′
′′′
MLm
Im
MC
Immmm
CEH xδand
The Constraint Equations that are used by
the GVVPT2 and MRCI Calculations
CmI(x)•
23. 23
( ) 0)()(1)(
2
=
−+−= ∑ ∑∈′
′
∈′′
′′′′
M
M
Lm
Im
Lm
Im
MC
ImmmmmI CCEHe xxx δCmI(x)•
~)(xij
v
∆••
~
[ ] 0)(ˆˆ),()()( =Φ−Φ= ∑ xxxx MC
Ijiij
MC
I
N
I
Iij EEHwe
P
The Constraint Equations that are used by
the GVVPT2 and MRCI Calculations
24. 24
( ) 0)()(1)(
2
=
−+−= ∑ ∑∈′
′
∈′′
′′′′
M
M
Lm
Im
Lm
Im
MC
ImmmmmI CCEHe xxx δCmI(x)•
~)(xij
v
∆••
~
The Constraint Equations that are used by
the GVVPT2 and MRCI Calculations
)(xab
r
∆ ~ [ ] 0)()()()()( 2
1
=−+== ∑
OCC
kl
akblabklklababab gghfe xxxxx γ•
[ ] 0)(ˆˆ),()()( =Φ−Φ= ∑ xxxx MC
Ijiij
MC
I
N
I
Iij EEHwe
P
25. 25
( )∑ ∑∑∑
×ΦΦ+Γ+=
∂
∂
Λ
Λ
PN
I
MO
i
aI
ii
GVV
iI
MC
I
GVV
MO
ij
a
ijkl
GVV
ijkl
MO
ij
a
ij
GVV
ij
a
GVV
fPgh
x
E
2
1
γ•
∑ ∑
∑∑∑∑
∆∂
∂
×ΦΦ+
Γ+−
Γ+=
∆∂
∂
Λ
Λ
PN
I
MO
k ij
v
I
kkGVV
kI
MC
I
GVV
MO
xyz
jxyz
GVV
ixyz
MO
x
jx
GVV
ix
MO
xyz
ixyz
GVV
jxyz
MO
x
ix
GVV
jx
ij
v
GVV
f
P
ghgh
E
2
1
2222 γγ
Efficiently Evaluating the Partial Derivatives of E
Λ
GVV
•
26. 26
( )∑ ∑∑∑
×ΦΦ+Γ+=
∂
∂
Λ
Λ
PN
I
MO
i
aI
ii
GVV
iI
MC
I
GVV
MO
ij
a
ijkl
GVV
ijkl
MO
ij
a
ij
GVV
ij
a
GVV
fPgh
x
E
2
1
γ•
∑ ∑
∑∑∑∑
∆∂
∂
×ΦΦ+
Γ+−
Γ+=
∆∂
∂
Λ
Λ
PN
I
MO
k ij
v
I
kkGVV
kI
MC
I
GVV
MO
xyz
jxyz
GVV
ixyz
MO
x
jx
GVV
ix
MO
xyz
ixyz
GVV
jxyz
MO
x
ix
GVV
jx
ij
v
GVV
f
P
ghgh
E
2
1
2222 γγ
( ) ( )
( ) ( ) ( ){ }[ ]MIPMMIPM
MC
P
GVV
MIMm
Pm
MC
P
GVV
Q
mI
IQMC
I
GVV
mI
GVV
A
CC
E
CHXHXCΦAHX
HXΦHβ
X
++
Λ
Λ+Λ
+
Λ
Λ
+
Λ
Λ
+Φ−+
Φ−
∂
∂
×ΦΦ=
∂
∂
2
1
2
Efficiently Evaluating the Partial Derivatives of E
Λ
GVV
•
•
27. 27
( )∑ ∑ ∑ ∑∈ ∈ ∈
+×=
Qe e M
P
e
L q Lm
N
I
qjiijmMIQMqmI
GVV
ij FEEFW
m m
m
CH ˆ
2
1
γ
•
Efficiently Evaluating the Partial Derivatives of E
Λ
GVV
( )∑ ∑ ∑ ∑∈ ∈ ∈
+++×=Γ
Qe e M
P
e
L q Lm
N
I
qjilkjiklijlkijklmMIQMqmI
GVV
ijkl FeeeeFW
m m
m
CH
ˆˆ8
1
( ) ( )∑ ∑∈ ∈
×=
Qe e
e
L q
mqMIQMqImI HX
m m
m
CHHX
( ) ( )∑ ∑∈ ∈
Λ
+
×=
∂
∂
Qe e
e
L q
mqMIQMqIQ
mI
IQ
HV
C m m
m
CHHβ
X
GVVPT2 Energies – Slowest Step
GVVPT2 v
∆ij, r
∆ab, and CmI Derivatives – Slowest Steps
•
•
•
~ 2 × time
of (HX)mI
~ 1 × time
of (HX)mI
28. 28
Molecule Analytical Values Deviation from Numerical Values
Geometry Description X Y Z X Y Z
H2
CO C -0.171726 0.205990 0.000000 -6.90×10-7
-8.00×10-8
0.00
CH1 Str. (+0.5 Å) O 0.081525 -0.025708 0.000000 3.70×10-7
4.20×10-7
0.00
H1 0.240019 -0.424267 0.000000 -6.00×10-8
7.00×10-8
0.00
H2 -0.149818 0.243985 0.000000 9.00×10-8
-1.20×10-7
0.00
LiH (X 1
Σ+
) H 0.000000 0.000000 -0.014113 0.00 0.00 0.00
Avoided Crossing Li 0.000000 0.000000 0.014113 0.00 0.00 0.00
LiH (A 1
Σ+
) H 0.000000 0.000000 -0.004441 0.00 0.00 0.00
Avoided Crossing Li 0.000000 0.000000 0.004441 0.00 0.00 0.00
• cc-pVTZ Basis Set
Technical Details: H2CO (Cs – Broken Sym.)
• RCO = 1.205 Å, RCH = 1.611 Å, and RCH = 1.111 Å.
• 2 Val. Groups {612
40
; 611
41
; 610
42
}
∀ ∠HCH = 116.1o
and ∠OCH = 121.9o
1 2
• Roos Aug. TZ Basis Set
Technical Details: LiH (C∞v)
• 9:1 SA-MCSCF MOs
• (2:10)-CAS + 1 Core Orb.
• RLiH = 3.400 Å
Analytical GVVPT2 Gradients for H2CO and LiH
29. 29
The Lagrangian Approach of Determining
Nonadiabatic Coupling Terms
( ) ( ) ( )∑+= Λ′ΛΛ′Λ
i
ii eg )(;)()(;)(),(; xλxxxλxxξxλx ξL
where gΛΛ'(x) is a function that makes
0=
∂
∂ Λ′Λ
jλ
L
andSetting 0=
∂
∂ Λ′Λ
iξ
L
, makes:
aaaaa xdx
d
dx
dg
dx
d
dx
d
∂
∂
===
Ψ
Ψ−
Ψ
Ψ Λ′ΛΛ′ΛΛ′ΛΛ
Λ′
Λ′
Λ
)()()()()(
2
1 xxxxx LL
Ψ
Ψ−
Ψ
Ψ= Λ
Λ′
Λ′
Λ
Λ′Λ
aaa dx
d
dx
d
dx
dg )()()(
2
1 xxx
30. 30
The Lagrangian Approach of Determining
Nonadiabatic Coupling Terms
( ) ( ) ( )∑+= Λ′ΛΛ′Λ
i
ii eg )(;)()(;)(),(; xλxxxλxxξxλx ξL
where gΛΛ'(x) is a function that makes
( ) ( ){ } Λ′
ΛΛ′
++Λ
Λ′Λ
−
++Θ−Θ= M
eff
MMGVGVMMPMMPPMMPM
GV
EE
CCg AxHxFFxxAx )(
1
)()()()( 2
1
Ψ
Ψ−
Ψ
Ψ= Λ
Λ′
Λ′
Λ
Λ′Λ
aaa dx
d
dx
d
dx
dg )()()(
2
1 xxx
For GVVPT2
31. 31
The Lagrangian Approach of Determining
Nonadiabatic Coupling Terms
( ) ( ) ( )∑+= Λ′ΛΛ′Λ
i
ii eg )(;)()(;)(),(; xλxxxλxxξxλx ξL
where gΛΛ'(x) is a function that makes
( ) ( ){ } Λ′
ΛΛ′
++Λ
Λ′Λ
−
++Θ−Θ= M
eff
MMGVGVMMPMMPPMMPM
GV
EE
CCg AxHxFFxxAx )(
1
)()()()( 2
1
Ψ
Ψ−
Ψ
Ψ= Λ
Λ′
Λ′
Λ
Λ′Λ
aaa dx
d
dx
d
dx
dg )()()(
2
1 xxx
For GVVPT2
)()()(ˆ)( )2()2(
xAxFxx Λ
Λ Ω=Ψ MM
GV
32. • Geometry optimizations, gradients calculations, and frequency calculations verify that
the GVVPT2 method accurately describes the chemically important regions of most
potential energy surfaces.
Conclusions
32
• The GVVPT2 gradients are continuous across potential energy surfaces, including
regions of avoided crossings.
• Analytic formulas for GVVPT2 molecular gradients and nonadiabatic coupling terms
have been developed which scale at approximately 2-3 times the speed of the GVVPT2
energy.
• Computational implementation of GVVPT2 analytic gradients show excellent
agreement with finite difference calculations.
33. Dr. Mark R. Hoffmann
Dr. Yuriy G. Khait
Patrick Tamukang
Rashel Mokambe
Jason Hicks
Erik Timmian
Dr. Theresa Windus
Dr. Klaus Ruedenberg
Acknowledgements
33