Density Functional Theory in Computational Chemistry

Density Functional Theory
Formalism and Applications
Mauro Stener
Dipartimento di Scienze Chimiche e Farmaceutiche
Universit
à degli Studi di Trieste
Via L. Giorgieri 1, 34127 TRIESTE
E-mail: stener@units.it
XIII-EM-TCCM-European Master in Theoretical Chemistry
and Computational Modelling 13th International Intensive
Course, Perugia (I), 3
rd
 – 28
th
 September 2018
Summary
1.
THEORY - DFT
 Review of DFT basic theory and
equations
2.
THEORY - TDDFT 
with the aim to underline what
is general from Linear Response formalism.
3.
COMPUTATIONAL
 - Some numerical aspects of
the implementation in the ADF code, most
important computational choices, how to assign
spectral features. New TDDFT algorithm.
4.
APPLICATIONS
:
4.a. Plasmons in metal clusters.
4.b. Core electron excitations (NEXAFS).
Excited states are beyond KS theory!
A time dependent perturbation H
(1)
 generates an induced density 
(1)
 and
therefore an induced dipole:
TDDFT: Linear Response (LR)
It is more convenient to work with FT in frequency domain:
 
 
 
 
TDDFT: Linear Response (LR)
 Hamiltonian: small TD perturbation:
Convergence factor with 
>0
: 
e
t
 
 0 when 
t
 
 -
∞ while 
e
t
 
 1 for finite 
t
: in
this way the perturbation is switched on adiabatically
The convergence factor can be considered as a small imaginary frequency.
 
 
 
 
TDDFT: Linear Response (LR)
 Assume to know 
all
 solutions of H
(0)
:
 Solve
  
with:
 After some algebra … :
 Hamiltonian: small TD perturbation:
 From coefficients, all the 
induced
 properties (i.e. electric dipole 
=
e
r
) can be obtained:
 
 
 
 
 
 
TDDFT: Linear Response (LR)
 From coefficients, all the induced properties (i.e. electric dipole 
=
e
r
) can be obtained:
Dynamical polarizability = 
pq
(
) p,q=x,y,z
What happens on a resonance? 

0n
 becomes imaginary and proportional to the transition moment!
 displays poles at excitation energies, the residues correspond to the
transition moment or oscillator strength (
f
)
TDDFT: Linear Response (LR)
In general, the density 
(1)
 
induced by an external TD
perturbative field 
V
(1)
 is:
Where 
 is the dielectric susceptibility of the interacting
system, not easily accessible
1.
LR (general): R. McWeeny, “Methods of molecular quantum mechanics”, Second
Edition, Academic Press, London 1989
2.
LR-TDDFT: M. E. Casida, in “Recent Advances in Density Functional Theory”,
World Scientific, Singapore 1995 p. 155.
3.
TDHF: A. D. McLachlan and M. A. Ball, Rev. Mod. Phys. 36 (1964) 844
TDDFT justifies the use of the 

KS
 of the
non-interacting system:
Provided:
Runge Gross theorem: PRL 
52
 (1984) 997
f
XC
 (XC kernel) is unknown, approximated by
Adiabatic LDA:
KS
 is easy to calculate:
KS
 is expressed in terms of KS orbitals and energies:
This expression can easily be obtained from the dynamical polarizability,
using a KS zero order:
Therefore, dynamic polarizability 
xz
(
) can be
rigorously calculated at TDDFT level:
The mean dynamic polarizability 
(
) is related to excitation
energies 
E
I
 
and oscillator strengths 
f
I 
:
(
) has poles at 
E
I
 and the residues are connected to the 
f
I
Recast basic equations, in order to implement, density matrix
formulation according to Casida
Express 
(1)
 in terms of KS orbitals:
Occupied orthonormal
 KS orbitals:
I order
 variation:
TD behaviour of KS orbitals and their perturbations
:
The perturbed KS orbitals have two terms because the TD
perturbation has two terms: 
e
-i
t
 and 
e
i
t
 :
Now both terms are expanded as linear combinations of
virtual
 orbitals
:
TD behaviour of the induced density
:
Complex conjugate
Express 
(1)
 in terms of the 
density matrix
 
P
over occupied and virtual KS orbitals
With the occupied-virtual representation, susceptibility matrix
has a very simple diagonal form:
Occupation numbers
Also the SCF potential may be expressed
in terms of density matrix:
Finally, two linear equations are coupled, solved
with respect to P:
Developing in matrix:
Forced
oscillations
Free oscillations
: Random Phase Approximation (RPA)-like equations,
collective motion of electronic degrees of freedom, electron normal
modes, 
plasmonic effect
 should be included!
Eigenvalues
Eigenvectors
Free
oscillations
Representation of matrices 
A
 and 
B
Since 
KS
 is 
diagonal
 its inversion is trivial:
Notice that 
A-B
 is 
diagonal
:
Resolution of the RPA-like equation
F
F
Density-matrix formulation the TDDFT equations:
Input: molecular orbitals and orbital energies
Output: discrete excitation spectrum (energies and intensity)
Oscillator strengths are extracted from eigenvectors:
If we consider the excitation of a Closed Shell (Singlet):
Separation between Singlet and Triplet
i
a
i
a
This is not a spin eigenfunction:
singlet and triplet are linear
combinations of two
determinants.
The unitary transformation U transform the 
 matrix
 in block diagonal
form, with singlet and triplet blocks:
The Singlet and Triplet are solved separately. Triplet is dipole forbidden,
only excitation energies are obtained since 
f
=0.
Charge Transfer (CT) excitations, TDDFT shortcoming
When 
i
 and 
a
 are localized in different regions of a molecule separated
by distance R, the transition corresponds to a CT:
i
a
e
-
In TDDFT, ALDA:
In RPA, or TDDFT with non-local XC kernel:
R
Wrong result!!!
Fine!!!
Error in 
a
: Electron Affinity in HF, in DFT 
not
: the local potential is the
same
 for 
all
 orbitals but is optimized for the occupied ones!
Comments:
1.
Other competitive formulations: 
a) 
density
 instead of
density matrix
 b) 
time
 domain over a cartesian 
grid
(OCTOPUS)
2.
Present density matrix formulation: 
allows detailed
analysis and assignment of excited states via 
F
I
eigenvectors, 
useful!
3.
Present density matrix formulation: 
large matrix
diagonalization, 
computational demanding!
4.
Outlook:
 formulate new algorithm which avoids
diagonalization but allows assignment!
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Dive into the formalism and applications of Density Functional Theory (DFT) through a comprehensive review of basic theory, equations, and numerical implementations. Explore concepts like Time-Dependent DFT (TDDFT) and Linear Response formalism, and discover its applications in studying plasmons, core electron excitations, and more. Uncover the Linear Response Hamiltonian in TDDFT and learn about small perturbations, induced properties, and convergence factors in this advanced theoretical chemistry field.

  • Density Functional Theory
  • Computational Chemistry
  • TDDFT
  • Theoretical Chemistry
  • Linear Response

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  1. Density Functional Theory Formalism and Applications Mauro Stener Dipartimento di Scienze Chimiche e Farmaceutiche Universit degli Studi di Trieste Via L. Giorgieri 1, 34127 TRIESTE E-mail: stener@units.it XIII-EM-TCCM-European Master in Theoretical Chemistry and Computational Modelling 13th International Intensive Course, Perugia (I), 3rd 28thSeptember 2018

  2. Summary 1. THEORY - DFT Review of DFT basic theory and equations 2. THEORY - TDDFT with the aim to underline what is general from Linear Response formalism. 3. COMPUTATIONAL - Some numerical aspects of the implementation in the ADF code, most important computational choices, how to assign spectral features. New TDDFT algorithm. 4. APPLICATIONS: 4.a. Plasmons in metal clusters. 4.b. Core electron excitations (NEXAFS).

  3. TDDFT: Linear Response (LR) Excited states are beyond KS theory! A time dependent perturbation H(1)generates an induced density (1)and therefore an induced dipole: ( ) ) t V t , , r E = ( )( ) t , 1r ( )( 1r ( ) r It is more convenient to work with FT in frequency domain: ( )( ( )( ) = ( )( ( )( ) e ( )( ( )( ) e = , ) , + + 1 1 1 i t i t r r r , , H t ) V e V e ) 1 1 1 i t i t r r r , , t

  4. TDDFT: Linear Response (LR) Hamiltonian: small TD perturbation: = + 0 (1) ( ) ( ) t H t H H V ( )( ) ( )( ) ( )( ) = + 1 1 1 i t i t r r r , , , exp( ) H t e V e t Convergence factor with >0: e t 0 when t - while e t 1 for finite t: in this way the perturbation is switched on adiabatically = i i exp( ) exp( ( )) t t V ( )( ) ( )( ) ( )( ) + = + 1 1 ( ) 1 ( ) i i t i i t r r r , , , H t e V e The convergence factor can be considered as a small imaginary frequency.

  5. TDDFT: Linear Response (LR) Hamiltonian: small TD perturbation: = + 0 (1) ( ) ( ) t H t H H = ) 0 ( ) 0 ( n ) 0 ( n ) 0 ( n H E Assume to know all solutions of H(0): ( ) ( ) n = + ) 0 ( 0 ) 0 ( 0 ) 0 ( n ) 0 ( n exp ( ) exp iE t c t iE t = Solve with: H i n t 0 ( ) i exp i t ( ) = En ) 0 ( ) 0 ( 0 E = , ) 1 ( r 0 ( ) 0 n c t n V After some algebra : 0n n i 0 n From coefficients, all the induced properties (i.e. electric dipole =er) can be obtained: = ) 1 ( ) 0 ( 0 ) 0 ( 0

  6. TDDFT: Linear Response (LR) From coefficients, all the induced properties (i.e. electric dipole =er) can be obtained: ( ) ( ) ( ) ( ) = + ) 1 ( ) 1 ( ) 1 ( r r , , exp( ) , , exp( ) V i t V i t ( ) ( ) , , ) 0 ( 0 ) 0 ( ) 0 ( ) 1 ( ) 0 ( 0 ) 0 ( 0 ) 1 ( ) 0 ( ) 0 ( ) 0 ( 0 r r V + V ( ) ( ) n n + n n , = ) 1 ( r , V i + + i 0 n 0 0 n n Dynamical polarizability = pq( ) p,q=x,y,z What happens on a resonance? 0n 2 ) 0 ( ) 0 ( 0 ) ( becomes imaginary and proportional to the transition moment! z 2 ( ) n = = ) 0 ( 0 ) 0 ( i z 0 zz n n i displays poles at excitation energies, the residues correspond to the transition moment or oscillator strength (f)

  7. TDDFT: Linear Response (LR) In general, the density (1)induced by an external TD perturbative field V(1)is: ( ) ( ) V ( ) = ) 1 ( ) 1 ( r r r , ' r r , , , ' ' d Where is the dielectric susceptibility of the interacting system, not easily accessible 1. LR (general): R. McWeeny, Methods of molecular quantum mechanics , Second Edition, Academic Press, London 1989 2. LR-TDDFT: M. E. Casida, in Recent Advances in Density Functional Theory , World Scientific, Singapore 1995 p. 155. 3. TDHF: A. D. McLachlan and M. A. Ball, Rev. Mod. Phys. 36 (1964) 844

  8. TDDFT justifies the use of the KSof the non-interacting system: ( ) ( , , r Provided: ( ' r r ) VSCF ( ) ) 1 ( = ) 1 ( KS r r , ' r r , ' ' d ) ) 1 ( , ' r ( ) ( ) ( ) ( ) ) 1 ( ) 1 ( = + + ) 1 ( r r r r r , ' r r , , ' , , ' ' V V d f d SCF XC Runge Gross theorem: PRL 52 (1984) 997 fXC(XC kernel) is unknown, approximated by Adiabatic LDA: ( , , r f XC ( ( ) r ( ) r ) LDA XC ' dV ) ( ) ' r = r r ' d ' KSis easy to calculate:

  9. KSis expressed in terms of KS orbitals and energies: ( ) ( ) ( ) ( ) ( a ( ) ( ) ( ) ( ) ( a * * * * occ unocc occ unocc r r r r r r r r ( ) i i , = + KS , i a a i i a a i i r r ) ) + i a a i i This expression can easily be obtained from the dynamical polarizability, using a KS zero order: ( ) ( ) , , ) 0 ( 0 ) 0 ( ) 0 ( ) 1 ( ) 0 ( 0 ) 0 ( 0 ) 1 ( ) 0 ( ) 0 ( ) 0 ( 0 r r V + V ( ) ( ) n n + n n , = ) 1 ( r , V i + + i 0 n 0 0 n n ( , r ) = = ) 0 ( ) 1 ( ) 0 ( 0 a i KS V z z n a i

  10. Therefore, dynamic polarizability xz() can be rigorously calculated at TDDFT level: ( ) xz ( )( z ) 1 = , r r xd The mean dynamic polarizability ( ) is related to excitation energies EIand oscillator strengths fI : 1 f ( ) ( ) = = I trace 2 2 3 E I I ( ) has poles at EI and the residues are connected to the fI

  11. Recast basic equations, in order to implement, density matrix formulation according to Casida Express (1)in terms of KS orbitals: Occupied orthonormal KS orbitals: = , i j i j I order variation: + = =0 0 d d d d i j i j i j i j VIRT a = a i d c i a

  12. TD behaviour of KS orbitals and their perturbations: ( ) ( ) r = i t r, t e i i i The perturbed KS orbitals have two terms because the TD perturbation has two terms: e-i tand ei t: ( ) ( ) r ( ) r ( ) ( )t + + = + i t i ) 1 ( , 1 ( ) , 1 ( ) r , t e e i i i i i Now both terms are expanded as linear combinations of virtual orbitals: VIRT VIRT ( ) ( ) + = X = Y , 1 ( ) , 1 ( ) * r r i ia a i ia a a a

  13. TD behaviour of the induced density: occ i = i * i occ ( )( ) ( ) ( ) ( ) ( ) i = + 1 ) 1 ( * 1 ( )* r r r r r , , , , , t t t t t i i i i ( ) ( ) occ ( )( ) ( ) ( ) r ( ) ( ) r ( ) ( ) r ( ) ( ) r i + + = + + + 1 , 1 ( ) * , 1 ( )* , 1 ( )* , 1 ( ) * i t i t r r r r r , t e e i i i i i i i i Complex conjugate ( )( ) ( )( ) ( )( ) = , + 1 1 1 i t i t r r r , , t e e ( ) OCC VIRT ( )( ) i = + i 1 * * r , X Y a i ia a ia a

  14. Express (1)in terms of the density matrix P over occupied and virtual KS orbitals ( ) ( ) VSCF ( ) ) 1 ( = ij ) 1 ( KS r r r , ' r r , , , ' ' d = KS SCF kl V P ij ij , kl jb jb = + KS ia SCF jb KS ia SCF bj V X V , , ia jb bj jb jb = + KS ai SCF jb KS ai SCF bj V Y V , , ia jb bj

  15. With the occupied-virtual representation, susceptibility matrix has a very simple diagonal form: Occupation numbers n n j i = k l KS ( ) ij , , , , kl i j i j ) 1 ( = SCF ij V V i SCF j

  16. Also the SCF potential may be expressed in terms of density matrix: ( ) ) 1 ( r , ' r ( ) ( ) ( ) ( ) ) 1 ( ) 1 ( = + + ) 1 ( r r r r r , ' r r , , ' , , ' ' V V d f d SCF XC r ' kl = + SCF ij V EXT ij V K P , ij kl kl 1 ( ) r ( ) r ( ) ( ) r k ( ) ' r l = xc + r r r , ' r ' , ' K d d f ij i j , kl r r '

  17. Finally, two linear equations are coupled, solved with respect to P: = KS SCF P V = + SCF EXT V V KP ( ) ( ) 1 + = KS EXT K P V

  18. Developing in matrix: A B 1 0 X V Forced oscillations = B A 0 1 Y V A B 1 0 X V Free = oscillations B A 0 1 Y V Eigenvalues Eigenvectors Free oscillations: Random Phase Approximation (RPA)-like equations, collective motion of electronic degrees of freedom, electron normal modes, plasmonic effect should be included!

  19. Representation of matrices A and B Since KS is diagonal its inversion is trivial: ( ) = j b + A K , a i , , , , ia jb i a ia jb = B K , , ia jb ia bj Notice that A-B is diagonal: ( ) ( ) = j b = A B , a i , , , , i a ia jb ia jb

  20. Resolution of the RPA-like equation A B X 1 0 X = B A Y 0 1 Y ( ( )( )( ) ) ( ( ) ) + + = A B X Y X Y = + A B X Y X Y ( ) ( ) ( ) 1 = + X Y A B X Y ( )( ) ( ) 1 + + = + 2 A B X Y X Y

  21. ( )( ) ( ) 1 + ) + ( = + 2 A B X Y X Y ( X ) ( ) 1 1 1 1 + + = + 2 A B X Y Y 2 2 2 2 F F 2 = F E F I I I

  22. Density-matrix formulation the TDDFT equations: 2 = F E F I I I ( ) 2 = + 2 ( ) ( ) K , , ia jb ij ab a i a i ia jb b j 1 ( ) r ( ) r ( ) ( r ) ( ) r k ( ) ' r l ALDA xc = + r r r r ' ' ' K d d f ij i j , kl r r ' Input: molecular orbitals and orbital energies Output: discrete excitation spectrum (energies and intensity)

  23. Oscillator strengths are extracted from eigenvectors: 2 2 2 2 + + + 1 2 1 2 1 2 = + + x S F y S F z S F If I I I 3 = x x i j ij k n , , , i l j = S ij ( )( ) , kl n l k k l

  24. Separation between Singlet and Triplet If we consider the excitation of a Closed Shell (Singlet): a a This is not a spin eigenfunction: singlet and triplet are linear combinations of two determinants. i i i i = a i a i ( ) ( ) 1 1 = = + T a i i a S a i i a 2 2 The unitary transformation U transform the matrix in block diagonal form, with singlet and triplet blocks: 1 1 2 0 The Singlet and Triplet are solved separately. Triplet is dipole forbidden, only excitation energies are obtained since f=0. 1 1 S 1 0 = + = U U U T

  25. Charge Transfer (CT) excitations, TDDFT shortcoming When i and a are localized in different regions of a molecule separated by distance R, the transition corresponds to a CT: e- R a i 1 ( ) r )2 i ( ) r ( ) ( r ) ( ) r ( ) r = ( = + = In TDDFT, ALDA: ALDA xc r r r r ' ' ' ' 0 K d d f i a i a , ia ia r = r ' I E Wrong result!!! , ia ia a a i In RPA, or TDDFT with non-local XC kernel: 1 ( ) = + = A ai ia ai ai Fine!!! , ia ia a i a i a i R Error in a: Electron Affinity in HF, in DFT not: the local potential is the same for all orbitals but is optimized for the occupied ones!

  26. Comments: 1. Other competitive formulations: a) density instead of density matrix b) time domain over a cartesian grid (OCTOPUS) 2. Present density matrix formulation: allows detailed analysis and assignment of excited states via FI eigenvectors, useful! 3. Present density matrix formulation: large matrix diagonalization, computational demanding! 4. Outlook: formulate new algorithm which avoids diagonalization but allows assignment!

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