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Information Carriers and Information Theory in Quantum ChemistryQuantum Chemistry
16-3-2009 1Herhaling titel van presentatie
Information Carriers and Information Theory in Quantum Chemistry
Paul GEERLINGS, Alex BORGOO, Sara JANSSENS, Pablo JAQUE
Department of Chemistry
Faculty of Sciences
Vrije Universiteit Brussel
Pag.
Vrije Universiteit Brussel
Pleinlaan 2, 1050 - Brussels
Belgium
16-3-2009 2
2009 Molecular Informatics and Bio-informaticsInstitute for Advanced Study, Collegium Budapest
Budapest, March 17-19, 2009
Quantum Chemistry
Information Carriers ()
Wave function
Electron Density
Ψ
↓
ρ
↓
How to “read” information content, or its difference between two systems A and B
↓Construction of a functional
1
2
Reading The Information
Pag.16-3-2009 3
Shape function
↓
σ
↓
The Holographic Shape Theorem
↓
Use of Information Theory
Case Studies
I Quantum Similarity of atomsII Dissimilarity of enantiomersIII Information Theory in reactions: information profiles
2
3
FAB= F[A,B]
1. Information carriers: from Ψ to ρ.
From Conventional (= wave function) Quantum chemistry to Density Functional Theory
HΨ = EΨ → Ψ → properties, e.g. ρ(r)
→ ↑Electron density function
N-electron system
E
( ) ( ) ( )*
2 2 2N N Nρ r =N x,x ,...x x,x ,...x ds...dx ...dxΨ Ψ∫
Pag.16-3-2009 4
Integration over 4N-3 variables!
• Density Functional Theory: ρ(r) contains all ground-stateinformation of the atom or molecule
• No need for an “overcomplicated” wave function containing too much information.
Fundamentals and "Computational" DFT
ρ(r) v(r) N
external potential (i.e. due to the nuclei)
Number of
electrons
H Ψ opE = E [ (r)]ρ
ZA RA ∀A: ,
The Hohenberg Kohn Theorems (P.Hohenberg, W.Kohn, Phys.Rev. B, 136, 864 (1964)
First Theorem
Fundamentals of DFT
Pag.16-3-2009 5
“The external potential v(r) is determined, within a trivial additive contant, by the electron density ρ(r)"
ρ(r) as basic variable
•
•
• • •
•
•
•
••
•
compatible with a single v( r)
ρ(r) for a given ground state
- nuclei - position/charge
electrons
v(r)
RA, ZA
No two different v(r) generate same ρ(r) for ground state
For a trial density , such that ˜ ρ (r) ˜ ρ (r) ˜ ρ (r)∀∀ ∫Second Theorem
Pag.16-3-2009 6
• how can we obtain ρ directly from the knowledge of E[ρ]?
For a trial density , such that ˜ ρ (r) ˜ ρ (r) ˜ ρ (r)
E0 ≤ E ˜ ρ [ ] ↑ exact ground
state energy
E ρ[ ] ?? : energy functional • what is
≥0 ∀∀∀∀r and ∫ dr=NSecond Theorem
Computational DFT
Variational procedure → Normalization of ρ(r) (Lagrangian multiplier(µ))
( )( )HKδF
v r µδρ r
+ = →→→→ Euler equation
• DFT analogue of Schrödinger’s time independent equation HΨ = EΨ
• ρ should be so that lefthand site of the Euler equation is a contant
Pag.16-3-2009 7
• ρ should be so that lefthand site of the Euler equation is a contant
Practical Implementation: Kohn Sham equations
DFT as a computational method of ever increasing importance
(Chemical Abstracts: 2007: 13000 papers)
Conceptual DFT
Parr's landmark paper on the identification of µ as (the opposite of) the electronegativity
R.G. Parr et al., J. Chem. Phys. 68, 3801 (1978)
• Chemical reaction involves perturbation of a system in v(r) and/or N
Consider
dE =∂E
∂N
v(r)
dN +δE
δv(r)
∫
N
δv(r)dr
( )E=E N,v r
Pag.16-3-2009 8
As Ev = Ev[ρ] (Euler equation)
dEv = µ δρ(r)dr∫ = µdN
= - χ (Iczkowski - Margrave electronegativity)
( )( )
( )( )
v
v(r) v
δE δEdE = δρ r dr with µ=
δρ r δρr
r
∫
( ) ( )v rµ= E/ N∂ ∂
From first order perturbation theory it can further be shown that ρ r( ) =δE
δv(r)
N
Identification of two first derivatives of E with respect to N and v(r) in aDFT context.
response functions( ) ( ) ( )( ) ( )v r v rE / N , E/δρ r ...∂ ∂ ∂
Pag.16-3-2009 9
∂2E
∂N2
v
= η Chemical Hardness S = 1/η Chemical Softness
Fukui function Sf(r) = s(r) Local Softness
Review : P. Geerlings, F. De Proft, W. Langenaeker, Chem. Rev., 103, 1793 (2003)
vN
δµ ρ(r)= =f(r)
δv(r) N
∂ ∂
2. Information carriers: from ρ→σThe shape function : an even simpler carrier of information ?
Introduction
σ(r) =ρ(r)
Nshape function
• characterizes shape of the electron distribution• redistributes N in space ρ(r) = N σ(r)
• Parr, Bartolotti (J. Phys. Chem. 87, 2810 (1983))
Pag.16-3-2009 10
• redistributes N in space ρ(r) = N σ(r)cf. Electronic Fukui Function : redistributes S in space
s(r) = Sf(r)• σ(r)dr =1∫
σσσσ(r) as carrier of information
P. W. Ayers (Proc. Natl. Acad. Sci, 97, 1959 (2000))
• σ(r) → v(r) for a finite Coulombic system
Cfr. Bright Wilson’s arguments for the ρ(r) → v(r) relationship
Water :
Ethylene Cusps → Z , R →v(r)
Integration → N
ρ(r)
Pag.16-3-2009 11
ρ(r) → N, v(r) → Hop → "Everything"
Ethylene Cusps → ZA, RA →v(r)
Ayers (Proc. Natl. Acad. Sci., 97, 1959 (2000)) :
σ(r) =1
Nρ(r) (2)
• It is easily seen that
• Cusps in ρ and σ occur at the same places as
1 1 σ(r) ∂
Pag.16-3-2009 12
A Aσ(r) R ,Z v(r)→ →
σ(r) N→• - Convexity postulate
- Long range behaviour of ρ(r)
A
A
Ar=R
1 1 σ(r)Z =-
2 σ(r) r-R
∂ ∂
What about N ?
• Convexity postulate
E1 - E2 > E2 - E3 > E3 - E4 ... until system becomes unbound
Successive ground state ionisation potentialsof a coulombic system increase•
•
E
E3
E1
E2
IN0 +1,N0< IN0,N0 −1 < IN0 −1,N0 −2
Pag.16-3-2009 13
ρ(r)r↑ → e
− 8I r(For a simple approach : see N.C. Handy in European Summer Schoolin Quantum Chemistry, Lund University, Chapter 10, 2000)
••
N
E4
E3
N0-2 N0-1N0-1N0-1 N0 N0+1
• Long range behaviour of ρρρρ(r)
A first application:σ(r) contains enough information to predict atomic Ionization Potentials.
↓
Expressing the ionization energy in terms of moments of the shape function
( ) [ ] ( )n-
n 2
0
µ σ = r σ r 4πr drκ
κκ
∞ ∫
[ ] [ ]N
(2)IE σ = b µ σ∑
Pag.16-3-2009 14
Neutral atoms and cations
H → W20+
(1081 species)
Already only two moments of σ give a fair fit with the data, whereas two moments of the
density are not adequate at all (?σ better for periodic properties)
P.W. Ayers, F. De Proft, P. Geerlings, Phys. Rev. A 75, 012508 (2007)
[ ] [ ](2)
=1
IE σ = b µ σκ κκ∑
σσσσ(r) as carrier of information on DFT reactivity indices
Does the shape function also contain information about reactivity indicesη, S, f(r), s(r), ... containing N derivatives ?
ρ(r) = A(N)e− 8Ir
• The long range behaviour of the Fukui Function
f(r) =∂ρ(r)
∂N
→ lim
r→∞
∂∂r
lnf(r) = − 8Ir
large r
Pag.16-3-2009 15
f(r) =∂N
v
→ limr→∞ ∂r
lnf(r) 8Ir
f(r)
ρ(r)→ ∂
∂r
f(r)
ρ(r)
=
−2
2I
∂I
∂N
v
∂I
∂N
v→ η
r→∞:
Now∂∂r
f(r)
ρ(r)
=
∂∂r
∂σ ∂N[ ]vσ
= −
2
2I
∂I
∂N
v
Simultaneous knowledge of σ(r) and ∂σ(r)/∂N → η
• F. De Proft, P.W. Ayers, K.D. Sen, P. Geerlings, J. Chem. Phys., 120, 9969 (2004).
Pag.16-3-2009 16
• P.Geerlings, F.De Proft, P.W. Ayers in “Theoretical Aspects of Chemical Reactivity”,Theoretical and Computational Chemistry, Vol.19, A.Toro Labbé Editor, Elsevier, Amsterdam, 2006,p.1.
Case Study I: An Application of the σσσσ(r) Information Content :
Quantum Similarity of Atoms
Quantum Similarity : Basics
largest value for ZAB = ρA (r)ρB(r)dr∫
smallest value ρA −ρB∫2dr⇒
?• Characterizing similarity of molecules A and B
↓ Electron density ρ(r)
Pag.16-3-2009 17 17
Normalized index
M. Carbo et al., Int. J. Quant., 17, 1185 (1980)
← σ (r)
( )( )A B
AB 1/22 2
A B
ρ (r)ρ (r)drZ =
ρ (r)dr ρ (r)dr
∫
∫ ∫
( )( )A B
1/22 2
A B
σ (r)σ (r)dr=
σ (r)dr σ (r)dr
∫
∫ ∫
Carbo type Approach
Numerical Hartree Fock wave functions
The case of atoms
Noble Gases
( ) ( )1 1 1AB A BZ = ρ r ρ r dr∫AB
AA BB
ZSI=
Z Z
Pag.16-3-2009 18
Nearest neighbours alike!17
Noble Gases
Looking for periodicity: the introduction of Information Theory
• Kullback Leibler Information Deficiency ∆S for a continuous probability distribution
pk(x), p0(x): normalized probability distributions, p0(x): prior distribution.
( ) ( ) ( )( )
k
k 0 k
0
p x∆S p p p x log
p x≡ ∫ S.Kullback, R.A.Leibler, Ann.Math.Stat. 22, 79 (1951)
Pag.16-3-2009 19
pk(x), p0(x): normalized probability distributions, p0(x): prior distribution.
∆S = distance in information between pk(x) and p0(x) or as the information present in p(x), distinguishing it from p0(x)
Choice of reference p0(x)
ρ0(r) Cf. Sanderson electronegativity scale
Take ρ(r) as p(x)
Choice of
( ) ( )( )
A
A
0
ρ rρ r log dr
ρ r∫
Pag.16-3-2009 20
Renormalized density of a hypothetical noble gas atom with equal number of electrons as atom A.
(r)
400
600
800
∆SAρ =
ID( ) ( )
( )A
A
0
ρ rρ r log dr
ρ r∫
Pag.16-3-2009 21
0
200
400
0 10 20 30 40 50 60
Z-1
ID
Periodicity reflected
Eliminating NA dependence by reformulation of the theory directly in terms of the shape functions (cf. role as information carrier)
( ) ( )( )
A
A A
0
σ r∆S σ = σ r log dr
σ r∫
Pag.16-3-2009 22
Reference choice as before: the core of the atom i.e. the shape of the previous noble gas atom
20
30
40
50 Ne
Ar Kr
( ) ( )( )
A
A A
0
σ r∆S σ = σ r log dr
σ r∫
Pag.16-3-2009 23
0
10
0 10 20 30 40 50 60
Z-1
He
XeLi
Periodicity and evolution in atomic properties throughout PT regained
A. Borgoo, M. Godefroid, K.D. Sen, F. De Proft, P. Geerlings, Chem.Phys.Lett., 399, 363 (2004)
Similarity Measure based on a local version of Kullback’s Information Discrimination
• Consider
• ( ) ( )ρ ρ
AB A BZ = ∆S r ∆S r dr∫AB
AA BB
ZSI=
Z Z
• Cross Section of QSM(Z ,Z )
Quantum Similarity Measure (QSM)
↓Quantum Similarity Index
Completely Shape Based
( ) ( ) ( )
( )Aρ
A AA
0
0
ρ r∆S r =ρ r log
Nρ r
N
Pag.16-3-2009 24
• Cross Section of QSM(ZA,ZB)Completely Shape Based
ZB= 82
Information contained in the shape function of Nitrogen
to determine that of the elements of the next row
N
Al0.9865
Si0.9969
P1.0
S0.9973
Cl0.9903
Pag.16-3-2009 25
0.9865 0.9969 1.0 0.9973 0.9903
A different aspect of Periodicity Regained
Relativistic Effects
Dirac Fock densities
• large and small components• qnκ : occupation number of relativistic subshell
Similarity Index between HF and DF densities
( ) ( ) ( )2 2
n n
n2n
P r +Q r1ρ r = q
4 r
κ κκ
κπ ∑
Pag.16-3-2009 26
A.Borgoo, M.Godefroid, P.Indelicato, P.Geerlings, J.Chem.Phys.126, 044102 (2007)
Case Study II: Information (Theory) in Molecules:
Similarity of enantiomers and the Holographic Density Theorem
Introduction
Enantiomers Different chemical behaviour towards chiral partners(e.g. receptors)
Medicinal Chemistry, Pharmacology
Pag.16-3-2009 27
Eudesmic Ratio (ER) = Potency ratio of eutomer and distomer
Relationship with • (dis)similarity of enantiomers ? (Richards)
Black-white or discrete property
?
• degree of chirality
Testing the Holographic Density Theorem through Hirshfeld partitioning of ρ(r)
The Holographic Density Theorem
Hohenberg - Kohn
→ E = Ev ρ[ ]••
••
• •
••
compatibility
with a single external potential v(r)
electrons
ρ(r) for a ground state
nuclei
••
Pag.16-3-2009 28
Holographic Density Theorem (P.G. Mezey, Mol.Phys. 96, 1691 (1990),J.Cem.Inf.Comp.Sci.,39, 324 (1999))
E = Ev ρΩ[ ]ρΩ(r)
••
••
• •
••
Ω ρ(r)
••
••
Hirshfeld partitioning : basics and information theory context
• Hirshfeld partitioning (Theoret. Chim. Acta 44, 129 (1977))
ρA(r) = wA(r)ρ(r)Contribution of atom A to electron density at position r
weight factorρA
0 (r)
ρX0 (r)
X
∑promolecular densities “stockholder" partitioning
• Nalewajski - Parr (Proc. Natl. Acad. Sci.USA, 97, 8879 (2000))
Pag.16-3-2009 29
P0(r) reference, well-behaved, probability distributionP(r) trial probability distribution whose information content we want
to make as close as possible to P0, subject to one or more constraints
Define ∆S P/Po[ ]= P(r)ln∫P(r)
Po(r)
dr
( ) ( )( )
( )0
A
A
0
ρ rρ r = ρ r
ρ rHirshfeld’s “stockholder” partitioning
Possibility to look at global and local similarity
Results
CHFClBr : the text-book example of a chiral molecule
• orientational problem : superimposing C* and two of its substitutents
6 orientations
• intuitively : superposition of C*, Cl, Br largest similarityadequate for local similarity analysis
Global similarity : B3PW91/6-311G* Carbo Index
superimposed
(Carbo index)
Pag.16-3-2009 30
• Numerical and analytical results quasi identical (10-3)• Effect of orientation
ClCBr 0,990
FCBr 0,915
HCBr 0,906
FCCl 0,098
HCCl 0,089
HCF 0,054
Analyticalsuperimposed
atoms
0,990
0,915
0,906
0,098
0,089
0,055
Numerical
Pag.16-3-2009 31
Relative orientation of the R and S enantiomers of CHFClBr: the asymmetric carbon atoms, chlorine and bromine are superimposed.
Local similarity via Hirshfeld partitioning
HCF 0,991 1,000
HCBr 0,980 0,996
∆ρ∆ρ∆ρ∆ρρρρρsuperimposed atoms
HCF 0,999 0,995
FCBr 0,998 0,623
superimposed
atomsρρρρ ∆ρ∆ρ∆ρ∆ρ
Asymmetric carbon atom (Carbo index) Hydrogen atom (Carbo index)
Calculation on the basis of
but importance of core electrons, e.g. C1S
- ∆ρ : deformation density : ∆ρ = ρ - ρ0 ρ0 = promolecular density
- ρ
Pag.16-3-2009 32
HCBr 0,980 0,996
HCCl 0,971 0,995
FCBr 0,998 0,623
FCCl 0,998 0,620
HCBr 0,996 0,951
ClCBr 0,996 0,446
HCCl 0,995 0,940
• For C : larger range with ∆ρ∆ρ gives complementary information (role of core electrons eliminated)
• For H : numerical evidence for Holographic Density Theorem. "Chirality is everywhere"
Conclusions
• As all ρ and ∆ρ results are identical to σ and ∆σ results ⇒(Dis)similarity of enantiomers = a shape function analysis
• Transition from global to local (dis)similarity
• First ab initio numerical testing of the Holographic Electron Density Theorem
G. Boon, G. Van Alsenoy, F. De Proft, P. Bultinck, P. Geerlings, J. Phys. Chem. A, 107, 11120 (2003).G. Boon, F. De Proft, C. Van Alsenoy, P. Geerlings, Theochem (R. Carbo Volume), 49,727 (2005)
Pag.16-3-2009 33
• Confirmed by studies on systems with two asymmetric centra(halogensubstituted ethanes)
S.Janssens, C.Van Alsenoy, P.Geerlings, J.Phys.Chem.A 111, 3143 (2007)
• An excursion into the relation with optical rotation
The case of substituted allenes: systems wtihout C*
C=C=C
Y
HH
X
Pag.16-3-2009 34
Optical Rotation Similarity Index
Sequences correspond with the sequence of the size of the substituents
→ As the substituents get larger, the optical rotation increases and the enantiomers become more and more dissimilar
S.Janssens, G.Boon, P.Geerlings, J.Phys.Chem.A110, 9267 (2006)
• An information theory based approach to (dis)similarity of Enantiomers
Local
( ) ( )( )
RRR
SS
σ rσ∆S = σ r ln dr
σ σ r
∫ Information in R distinguishing it from S
↓Local version for atom A
( )( )
0
A,R
A,R 0
X,R
x
ρ rw =
ρ r∑
( ) ( )( )
A,R RA,RA,R R
A,SA,S S
w σ rσ∆S = w σ r ln dr
σ w σ r
∫
Pag.16-3-2009 35
Return to CHFClBr(including also I as substituent)
S.Janssens, A.Borgoo, C.Van Aslenoy, P.Geerlings, J.Phys.Chem.A, 112, 10560 (2008)
Local entropy of C*
Conclusions
• Shape function contains basic information to look at dissimilarity of
enantiomers at both global and local level
• Various functionals from ρ and σ are conceivable to extract information from
it: Carbo Index,... local entropy based expressions.
• Dissimilarity of enantiomers permits chirality to pass from a black or white
property to a continuously varying property, the “grey” scale being not
evidently linked to optical rotation or constitution
Pag.16-3-2009 36
evidently linked to optical rotation or constitution
3. The Holographic Shape Theorem
ρΩ(r) determines ρ(r) all propertiesHK →
E = Ev[ρΩ]*
• Local similarity can never be perfectcf. The Chemist's idea of a molecule built up from functional
Holographic Density Theorem:
Pag.16-3-2009 37
cf. The Chemist's idea of a molecule built up from functionalgroups, transferable from one molecule to another
* → if ρΩ identical in two different molecules
ρ identical → molecules identical
Exact transferability is impossible, but the search for local similarity remains important because the theorem does not quantify the degree of resemblance of two ρρρρΩΩΩΩ(r) functions still allowing considerable variations of ρρρρ(r) outside ΩΩΩΩ.
The shape function σσσσ(r)
• determines v(r), N → all information on the system.
• cf. - experimental set up of X-ray diffraction
- ρ(r) plots ← complex transformation of refraction data whose intensities
are measured relative to each other
(cf. E.D. Stevens, P. Coppens, Acta Cryst. A 31, 5122 (1975))
⇒ X-ray diffraction experiments initially yield the
shape function
direct search for minimalization of σ A(r)− σB(r)∫2dr
Pag.16-3-2009 38
direct search for minimalization of σ A(r)− σB(r)∫ dr
in Similarity Analysis
direct obtention of ZAB expression
( )( )A B
AB 1/22 2
A B
σ (r)σ (r)drZ =
σ (r)dr σ (r)dr
∫
∫ ∫
Combination of Holographic Theorem and the fundamental importanceof the Shape Function
Knowledge of the shape function in a finite but otherwise arbitrarysubdomain of a Coulombic system determines all properties of the system.
Information content of the shape function
Pag.16-3-2009 39
ρ(r) = σN(r)N
From Hohenberg Kohn to a holographic shape theorem
a) Hohenberg - Kohn
→ E = Ev ρ[ ]••
••
• •
••
compatibility
with a single
external potential
v(r)ρ(r) for a ground
state
••
v(r),N
electrons nuclei
Pag.16-3-2009 40
b) Mezey : Holographic density theorem
→ E = Ev ρΩ[ ]
ρΩ(r)
••
••
• •
••
Ω (finite, arbitrary subdomain)
ρ(r)
•• •
•
v(r),N
c) Ayers : shape function
••
••
• •
••
σ(r)
→ E = Ev σ[ ]
d) Combining (b) and (c) → holographic shape theorem
••
v(r),N
Pag.16-3-2009 41
••
••
••
• •
•• → E = Ev σΩ[ ]
σΩ(r) σ(r)
••
v(r),N
Conclusion : Similarity in shape is a fundamental issue to be looked at, both globally and locally
P. Geerlings, G. Boon, C. Van Alsenoy, F. De Proft, Int. J. Quant. Chem., 101, 722 (2005)
Case Study III: Information Theory in Reactions:
Kullback Leibler Information Profiles
• Investigation of information profiles for processes involving geometrical and energetical changes along a coordinate: internal rotation, vibrations, chemical reactions
• Kullbacks Leibler information deficiency along ξ
↑
( ) ( ) ( ) ( )( )0
0
σ r∆S σ r σ r = σ r ln dr
σ r ∫ξ
ξ
ξ
Pag.16-3-2009 42
↑Shape function for reference geometry
• Can energetic relationships be retrieved/complemented from an information theory based analysis of the density or shape function
Cfr. Chemical ReactionE
ξ
∆s?
ξ
ξ=IRC
An example: SN2 reaction OH- +CH3F → CH3OH + F-
• Reaction Profile
Pag.16-3-2009 43
• Take TS as reference
• ∆S[σξ(r)/σTS (r)]= distance in information between shape function of TS (σTS) and system along the reacton path (σξ)
By convention: ∆S=0 at ξ=0 (TS)
∆S profile
Comparison between energetical data and shape function information measure
forward∆E =≠7.85 kcal mol-1
reverse∆E =≠
44.60 kcal mol-1
[ ]R TS∆S σ ,σ =1.83
[ ]P TS∆S σ ,σ =3.44
TS contains more information about reactants than about products
Much lower reaction barrier for forward than for reverse reaction
Hammond’s postulate (“exothermic reaction: early TS;
Pag.16-3-2009 44
Hammond’s postulate (“exothermic reaction: early TS; endothermic reaction: late TS”)
retrieved in the information profile related to the shape function
Other examples ( rotation, vibration, …)
A.Borgoo, P.Jaque, A.Toro-Labbé, C.Van Alsenoy, P.Geerlings, PCCP, 11, 476 (2009)
Conclusions
• The electron density function as a carrier of information is challenged by an even simpler function : the shape function.The latter contains enough information for describing chemical reactivity and permits an extension of the Holographic Density Theorem
• Information theory based analysis of the shape function of atoms reveals the periodicity in Mendeleev’s table.
Pag.16-3-2009 45
• Information theory based Hirshfeld partitioning of the electron density of moleculespaves the way to discuss local similarity in molecules, and in particular dissimiarity of enantiomers and to numerical studies on the Holographic Density Theorem
• Information theory based reading of the Shape function along a reaction coordinate yields a companion to the energy profile of a reaction.