Fundamentals of DFT Classification of first-principles methods - - PowerPoint PPT Presentation

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Fundamentals of DFT Classification of first-principles methods - - PowerPoint PPT Presentation

Fundamentals of DFT Classification of first-principles methods Hartree-Fock methods Jellium model Local density appoximation Thomas-Fermi-Dirac model Density functional theory Proof by Levy Kohn-Sham equation


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SLIDE 1

Fundamentals of DFT

  • Classification of first-principles methods
  • Hartree-Fock methods
  • Jellium model
  • Local density appoximation
  • Thomas-Fermi-Dirac model
  • Density functional theory
  • Proof by Levy
  • Kohn-Sham equation
  • Janak’s theorem
  • LDA and GGA
  • Beyond GGA
  • A simple example: H2 molecule

Taisuke Ozaki (ISSP, Univ. of Tokyo)

The Summer School on DFT: Theories and Practical Aspects, July 2-6, 2018, ISSP

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SLIDE 2

Challenges in computational materials science

  • 1. To understand physical and chemical properties
  • f molecules and solids by solving the Dirac

equation as accurate as possible.

  • 2. To design novel materials having desired

properties from atomistic level theoretically, before actual experiments.

  • 3. To propose possible ways of synthesis for the

designed materials theoretically.

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SLIDE 3

Schrödinger equation and wave functions

kinectic external e-e

Conditions that wave functions must satisfy (1) indistinctiveness (2) anticommutation (Pauli’s exclusion principle) (3) orthonormalization A expression that satisfies above conditions:

ˆ i H t     

e e c e e

2 2 2 2 2 2

1 ˆ 2

N N N N N k k i i k i j i i i i k i i j

Z Z H x y z

                   

  

R r r r

e e

1 1 2 2 1

( ) ( ) ( )

I I I IN N I

C x x x   

 

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SLIDE 4

Classification of electronic structure methods

Wave function theory Density functional theory Quantum Monte Carlo method Many body Green’s function method

e.g., configuration interaction (CI) method

Computational complexity

Features

O(eN) O(N3) O(N3~) O(N3~)

High accurary High cost Medium accuracy Low cost High accuray High cost Easy to parallel Medium accuray Excited states

e e

1 1 2 2 1

( ) ( ) ( )

I I I IN N I

C x x x   

 

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SLIDE 5

A form of many electron wave funtion satisfying indistinctiveness and anti- commutation. HF energy

One-electron integral Coulomb integral Exchange integral The variation of E w.r.t ψ leads to HF equation:

Slater determinantal funtion

Hartree-Fock (HF) method

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SLIDE 6

Results by the HF method

HF Experiment bond(O-H) (Å) 0.940 0.958 Angle(H-O-H) (Deg.)) 106.1 104.5 ν1 (cm-1) 4070 3657 ν2 (cm-1) 1826 1595

e.g., H2O

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SLIDE 7

Correlation energy

Ecorr = Eexact - EHF

H2O

e.g.

Eexact = -76.0105 a.u. Ecorr = -0.1971 a.u.

The correlation energy is about 0.3 % of the total energy.

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SLIDE 8

By noting one particle wave functions are expressed by a product of spatial one particle and spin functions, we obtain the following formula: If ηl ≠ ηl’ → K = 0 Exchange interaction arises between orbitals with a same spin

  • funcion. → K<0 in general → Hund’s 1st rule

Exchange integral

If ηl = ηl’ → K ≠ 0

* * 1 2 1 ' 1 2 ' 2

( ) ( ) ( ) ( )

l l l l

K d d            

* * * * 1 2 1 ' 1 2 ' 2 1 2

1 ( ) ( ) ( ) ( ) | |

l l l l

d d      

 r r

r r r r r r

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SLIDE 9

Two-body distribution function in HF method (1)

A two-body distribution function is defined by In case of parallel spin In case of antiparallel spin

In the HF method, electrons with the different spin are fully independent.

where Exchange hole density Spin density

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SLIDE 10

Two-body distribution function in HF method (2)

Exchange hole density Pauli’s exclusion principle Sum rule Exchange hole density for Jellium model In case of non-spin polarization,

Distribution of exchange hole

x=kFr12

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SLIDE 11

L L L V=L3 Suppose that electrons uniformly occupy in a rectangular unit cell with a lattice constant under periodic boundary condition, and that the positive compensation charges also spread over the unit cell so that the total system can be neutral.

One-particle wave function The second quantized Hamiltonian of the jellium model

Jellium model

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SLIDE 12

Jellium model in high density limit

Scaled Hamiltonian with mean distance rs of electrons

2 2 2 2 1 1 1 2

2 † † † 2

1 4 ˆ 2 2

s

s e a r

r H a a a a a a V

        

 

       

 

p q p k k k q k k kpq

k q

rs → 0 corresponds to the high density limit, and the second term becomes a small perturbation. Thus, the first term gives the zeroth order energy, while the second term gives the first

  • rder correction in the perturbation theory.

E F H F 

1 1

E F H F 

1

E E E  

2 †

1 ˆ 2 H a a

  

 

k k k

k

1 2 2 1 1 2

2 † † 1 2

4 ˆ 2 e H a a a a V

     

 



k q p q p k kpq

q

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SLIDE 13

The evaluation of E0 and E1 is cumbersome, but possible analytically, and as the result we obtain the following formulae:

These results are very important, because they suggest that the total energy seems to be expressed by electron density, leading to a birth of a density functional theory.

Energies in the jellimum model

 

2 2/3 2 2/3

3 3 10 E e a N   

1/3 2 1/3 1

3 3 4 E e N          

Kinetic energy Exchange energy

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SLIDE 14

Local density approximation (LDA)

Σ

ε(ρ(r1)) ρ(r1) ΔV An energy of the system is approximated by employing a local energy density which is a function of the local density ρ. ε(ρ(r2)) ρ(r2) ΔV ε(ρ(r3)) ρ(r3) ΔV ・ ・ ・ ε(ρ(ri)) ρ(ri) ΔV = ∫ ε(ρ(r)) ρ(r) dr

i

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SLIDE 15

Local density approximation (LDA) to the kinetic energy. No exchange-correlation The kinetic energy density t(ρ) is that of non-interacting electrons in the jellium model.

Thomas-Fermi model: The simplest density functional

The second quantized Hamiltonian of the jellium model

2 2

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SLIDE 16

The first order perturbation energy in the jellium model is used as the exchange energy density εx(ρ).

Thomas-Fermi-Dirac model

LDA to the kinetic and exchange, but no correlation

The second quantized Hamiltonian of the jellium model

2

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SLIDE 17

Electron density of Ar

by W.Yang, 1986

1s 2s,2p 3s,3p

  • 1. No shell structure of atoms
  • 2. No binding of atoms
  • 3. Negative ion is unstable

The failures may be attributed to the large error in the kinetic energy functional. The kinetic energy (a.u.) of Ar(a.u.)

HFa 526.82 TFb 489.95 KS-LDA 525.95

a: Cemency-Roetti (1974) b: Mrphy-Yang (1980)

Failures of Thomas-Fermi-Dirac model

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SLIDE 18

The first theorem

The energy of non-degenerate ground state can be expressed by a functional of electron density.

The second theorem

The ground state energy can be obtained by minimizing the functional with respect to electron density.

  • W. Kohn (1923-2016)

Hohenberg-Kohn’s theorem

FHK[ρ]

Hohenberg and Kohn, PR 136, B864.

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SLIDE 19

Suppose that different vs give the same ρ. Adding above two equations leads to

A discrepancy occurs. Thus, for a given v, ρ is uniquely determined.

It was assumed the v-representability that a corresponding v exists for a given ρ. Later the proof was modified under the N-representability condition by Levy (1979).

The proof of the first theorem by HK

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SLIDE 20

According to the first theorem and the variational principle, Thus,

By the proof of the HK’s theorem, the TF and TFD models have been regarded as approximate theories for the rigorous DFT.

The proof of the second theorem by HK

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SLIDE 21

v- and N-representability (1)

The proof for the first HK theorem shows

v → ρ ・・・ (A)

but never show

v ← ρ ・・・ (B)

If the condition (B) is satisfied for a given ρ, it is mentioned that the density ρ is v-representable. In the HK theorem we assumed the v-representability implicitly. On the other hand, if the following condition (C) is satisfied for a given ρ, it is mentioned that the density ρ is N-representable.

Ψ ← ρ ・・・ (C) v ⇔ Ψ ⇔ ρ v ⇔ Ψ ⇔ ρ

v-representability N-representability

?

v- N- v ⇔ Ψ ⇔ ρ

General case

? ?

General Domain of ρ

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SLIDE 22

v- and N-representability (2)

Condition of v-representability For general cases, the condition is unknown. Condition of N-representability

Positivity Charge conservation Continuity

The condition of N-representability is physically reasonable, and easy to hold. Thus, it would be better to formulate DFT under the N-representability, which was actually done by Levy in 1979.

Gilbert, PRB 12, 2111 (1975).

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SLIDE 23

Theorem by Levy

Levy, PNAS 76, 6062 (1979)

Theorem I: The ground state energy EGS is the lower bound of E[ρ]. Theorem II: The ground state energy EGS is represented by the ground state

  • ne-electron density ρGS.
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SLIDE 24

Proof of the theorem by Levy

Let us consider a constraint minimization of E.

The first line is just a conventional variational problem with respect to ψ. In the second line, two step minimization is introduced. (1) Choose N-representable ρ (2) Minimize E with respect to ψ giving ρ (3) Repeat steps (1), (2) The third line is a transformation of the second line. The fourth line is a transformation of the third line. The theorem 1 is proven by the first = the fourth line. The ground state density ρGS is N-representative, implying that it is included in the domain. Thus, the fourth line proves the theorem 2.

min

min

  

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SLIDE 25

The kinetic energy of non-interacting electrons

Kohn-Sham equation (1)

Since the kinetic energy functional in the TFD model is a crude model, the majority part of the kinetic energy is evaluated by that of a non-interacting system.

       

(0) ext xc

E T J v d E         

r

    

(0) s ext xc s

T J v d E T T         

r

   

s ext xc

T J v d E       

r

  • cc

* 2 s 1

1 2

i i i

T d  

  

r

  • cc

* 1

( ) ( ) ( )

i i i

  

  r r r

Electron density of non- interacting electrons

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SLIDE 26

KS effective potential

Comparison of the kinetic energy of Ar

HFa 526.82 TFb 489.95 KS-LDA 525.95

a: Cemency-Roetti (1974) b: Mrphy-Yang (1980)

Kohn-Sham equation (2)

in a.u.

E   

leads to the following Kohn-Sham equation:

KS

ˆ

i i i

H    

2 KS eff

1 ˆ 2 H v    

eff ext Hartree

( ) ( ) ( ) ( )

xc

E v v v      r r r r

Hartree

( ) ( ) ' v d   

r r r r r

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SLIDE 27

By expressing the kinetic energy as To satisfy δE=0 for arbitrary δρ, the following relation should be satisfied:

This is nothing but the definition of the KS effective potential. Thus, ρ calculated by the KS eq. satisfies δE/δρ=0, which might be the density of the ground state.

E   

Proof of KS eq. is derived by assuming . However, how about ?

and considering variation of each term, we have the following eq.

/ E    / E   

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SLIDE 28

Eigenvalue of KS eq.

The physical meaning of eigenvalues ε is non-trivial, since ε were introduced as Lagrange’s multipliers.

Mathematically, the eigenvalue εi is the partial derivative of the total energy w. r. t. ni.

Janak’s theorem

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SLIDE 29

Derivation of Janak’s theorem

By noting that the charge density is determined by {nk} and {ψk}, it is found that the variation of total energy is given by The first term of the right hand side is zero because of the derivation

  • f KS equation, thus we have
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SLIDE 30

Comparison between experiment and theory

STS (scanning tunneling spectroscopy) for SWCNT Semiconducting SWCNT Metallic SWCNTs

Avramov et al., CPL 370, 597 (2003).

One can see the crude approximation works well expect for the band gap of SWCNTs.

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SLIDE 31

d-band width: Theory vs. Expt.

Angle resolved photoemission for transition metals Eastman et al., PRL 44, 95 (1980)

Though LDA calculations qualitatively reproduce the d-band width of 3d-transition metals, however, the calculations overestimate the values about 1eV.

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SLIDE 32

Approximation to Exc

In the KS method, once we know Exc[ρ], the ground state of the system can be obtained. However, as this quantity contains all the details of electron correlation, a universal functional has been still under development. In most of practical DFT calculations, LDA (Local Density Approximation)

  • r

GGA (Generalized Gradient Approximation) is employed. In LDA, Exc[ρ] is given by εxc is an exchange-correlation energy density of jellium model with the electron density ρ.

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SLIDE 33

In Jellium model The exact analytic formula of εc(ρ) is unknown.

It is numerically evalulated by QMC, and it is fitted to analytical functions. QMC

  • D. M. Ceperley and B. J. Alder, Phys. Rev. Lett., 45, 566 (1980)

Analytical formula by fitting

S.H. Vosko, L. Wilk, and M. Nusair, Can. J. Phys. 58, 1200 (1980)

Correlation energy in Jellium model

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SLIDE 34

In spite of the crude approximation by LDA, the results look good.

Accuracy of KS-LDA

Geometry of molecules and bulks Cohesive energy Dipole moment Excitation energy vdW energy Error of 1-5 % Error of 0.1-0.5 eV Error of 10 % Underestimation of 50% Not in tolerable range

slide-35
SLIDE 35

General consideration to LDA (1)

LDA is based on the assumption that each part of the system can be locally regarded as a homogeneous electron gas with the local electron density ρ(r). This condition is mathematically expressed as with the local Fermi wave number. The left hand side of Eq. (A) is the change in the electron density over the Fermi wave length, which should be much smaller than the electron density itself for the validity of LDA. It is known that Eq. (A) is not satisfied in real systems, especially for core

  • electrons. Nevertheless, it is also known from many examples that LDA

works much better than expected. Why?

・・・ (A)

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SLIDE 36

General consideration to LDA (2)

There are mainly two reasons why LDA works much better than expected. In most cases, we only need the difference in total energy between different situations. For example, the energy difference between the structures A and B. Then the common error of LDA cancels out. This is a nice aspect of variational principle.

  • 1. ΔSCF

Important

A B

  • 1. Sum rule in the xc hole density

As the total energy is an integrated quantity over the space, only the spherical average of xc hole density affects to the total energy. The sum rule of the xc hole is an important factor.

LDA error

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SLIDE 37

An important consequence is that only the spherical average of exchange-correlation hole can attribute to the xc energy.

Exchange-correlation hole

Exchange energy

The Coulomb interaction between and electron and exchange hole whose integral gives –1.

Correlation energy

The Coulomb interaction between and electron and correlation hole whose integral give zero.

slide-38
SLIDE 38
  • O. Gunnarson et al., PRB 20, 3136 (1979)

Exchange hole Its spherical average

Exchange hole of Ne and its spherical average

slide-39
SLIDE 39
  • 1. The band gap of solid is underestimated about 50%.
  • 2. vdW interaction is not described properly.
  • 3. The lattice constant is underestimated by a few %.
  • 4. Poor description of 3d transition metals: strucutre and magnetism
  • 5. The activation barrier of chemical reaction is largely

underestimated.

  • 6. Orbital polarization of transition metal oxides

is not described.

Deficiencies of LDA

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SLIDE 40

GGA by Perdew, Burke, and Ernzerhof (PBE)

PRL 77, 3865 (1996).

They developed a GGA functional which satisfies several conditions such as (1) the sum rule for exchange and correlation holes, (2) the asymptotic forms at s → 0. It can be written as

< 0

For the most of real materials, rs ranges from 2 to 6. Then, Fxc increases with s, i.e., Exc more negative with the increasing s. For most physical rs, GGA favors density inhomogeneity more than LDA does.

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SLIDE 41

LDA vs GGA: ρ of Ne

(GGA-LDA)×100

At two shell structures, GGA favors more localized states. GGA favors density inhomogeneity→ localized states are favored.

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SLIDE 42

LDA vs GGA: Atomic calculations by GGA-PBE

Exchange energy (-Ex, in Ha) Correlation energy (-Ex, in Ha) The significant improvement for Ex and Ec was made by GGA.

The tables were taken from R.M. Martin, “Electronic Structure”.

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SLIDE 43

FM-bcc NM-fcc NM-hcp FM-bcc NM-hcp NM-hcp

LDA vs. GGA: Cohesive properties of Iron

Exp.

GGA reproduces the experimental ground state (FM-bcc), while LDA predicts the NM-hcp state as the ground state.

Asada and Terakura, PRB 46, 13599 (1992).

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SLIDE 44

Comparison between LDA and GGA: Structural properties of bulks

GGA-PBE: Error in a0: ~ 0.03 Å, in B0: ~ 10 GPa

  • F. Tran et al.,

PRB 75, 115131 (2007).

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SLIDE 45
  • 1. Band gap: Underestimation of 30 %
  • 2. vdW interaction: No binding in many cases
  • 3. Strongly correlation: No orbital polarization of localized

d- and f-states

Atomization energy: 0.3 eV (mostly overbinding) Bond length: Overestimation of 1 % Bulk modulus: Underestimation of 5 % Energy barrier: Underestimation of 30 % Mean absolute error

Successes and failures of GGA

Successes:

  • 1. Accuracy:
  • 2. Accurate description of hydrogen bonding
  • 3. Better description of magnetic ground states (e.g., bcc Fe)

Failures:

slide-46
SLIDE 46
  • 1. Hybrid functional

Exact exchange is admixed with GGA, leading to a better description for the band gap problem.

  • 2. Non-local correlation functional

A fully non-local functional based on the Adiabatic Connection/Fluctuation Dissipation Theorem (AC/FDT). This well reproduces accurate CCSD(T) results for vdW systems.

Beyond GGA

  • 2. Orbital dependent functional (DFT+U method)

Strong correlation in localized orbitals appearing transition metal oxides is taken into account by adding a Hubbard term.

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SLIDE 47

General consideration of eigenvalues in the HF method and GGA

Multi-configurational Hatree-Fock Ψ= c1φ1 + c2φ2 + … Hartree-Fock GGA V

eff consisting of N-1

V

eff consisting of N

V

eff consisting of N Due to weak binding to V

ext

Due to strong binding to V

ext

Due to self- interaction error

slide-48
SLIDE 48

Band gap by a hybrid functional

Paier et al., JCP 124, 154709 (2006). Heyd et al., JCP 121, 1187 (2004). Shishkin et al., PRB 75, 235102 (2007). Shimazaki et al., JCP 132, 224105 (2005).

The HF method overestimates the gap due to lack of screening effect. GGA underestimates the gap due to self-interaction error. The hybrid functional (HSE) can well reproduce the experimental band gap of insulators and semiconductors due to inclusion of a proper screening effect, which are well compared to results by a many body perturbation theory, GW method.

slide-49
SLIDE 49

General consideration of Self-interaction and orbital polarization

Consider degenerate states are partially filled, e.g., d-

  • rbitals in oxides.

In case that three degenerate states are occupied by two electrons, the occupation of 2/3 for each state is energetically favored if there is spurious self- interaction.

2/3 2/3 2/3

If there is no spurious interaction, a naive consideration implies that the left case leads to interaction

  • f 4/3(=3*2/3*2/3), while in

right case the interaction of 1(=1*1*1).

1 1

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SLIDE 50

Orbital polarization of localized d-electrons: Importance of orbital dependent functional Co2+: d7

t2g eg

The functional is discontinuous at occupation numbers of integer, which should be hold in an exact functional.

LDA CoO bulk LDA+U CoO bulk

Han et al., PRB 73, 045110 (2006).

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SLIDE 51

A simple example: H2 molecule

H2 is the simplest molecule which has two nuclei and two

  • electrons. According to the virial theorem, the bonding

energy can be understood by the mechanism (a).

Kinetic energy Potential energy (a) destabilization stabilization (b) stabilization destabilization (c) stabilization stabilization

Virial theorem

Energy curve of H2

+

  • S. Fujinaga, Introduction to molecular orbital methods

How can we confirm this by DFT ?

slide-52
SLIDE 52

Binding energy of H2

Total energy (Hartree) H2

  • 1.16581

H (non-spin polarization) -0.45781 H (spin-polarization) -0.49914 Spin polarization energy 0.04132 Binding energy = 2 H – H2 = 2×(-0.49914) – (-1.16581) = 0.1675 (Hartree) = 4.56 (eV)

  • Expt. 4.75 (eV)

The calculated value is underestimated by 0.19 eV.

slide-53
SLIDE 53

Energy curve of H2

0.750Å

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SLIDE 54

Energy curves of H2

Kinetic energy Potential energy ΔEkin = 1.11582-0.98309 = 0.13273 (Hartree) = 3.612 (eV) ΔEpot =-2.28163-(-1.98139) =-0.30024 (Hartree) = -8.170 (eV) ΔEtot = -4.56 (eV)

Strictly speaking, the discussion should be corrected in GGA, since the correlation energy includes a part of the kinetic energy. But the effect is not so large.

In fact, one can see that the energy gain is due to the virial theorem.

slide-55
SLIDE 55

Shrinking of Kohn-Sham orbital in H2

slide-56
SLIDE 56

Difference electron density

Difference electron density = (electron density of H2) – (superposition of two H electron density)

Red: increase of density Blue: decrease of density

slide-57
SLIDE 57

Why the FM state is stable when separated ?

Why ?

slide-58
SLIDE 58

Eigenenergies of HOMO and LUMO

Eigenvalues ε0 +h

  • h

ε0 According to a simple tight-binding model,

slide-59
SLIDE 59

Density of states of H2 at 3 Å separation

Red: NM Blue: FM up spin down spin The chemical potential is set 0.

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SLIDE 60

Competition between two energies

For H2 at 3Å seperation, the energy contributions of the NM and FM states are given by

NM FM Ekin 0.8231 0.9634 Epot

  • 1.7306 -1.9148

Etot

  • 0.9076 -0.9514

in Hartree In the FM state, the increase of the kinetic energy is overly compensated by the decrease of the potential energy which is the sum of the Coulomb and exchange-correlation energies.

Why does this happen ?

slide-61
SLIDE 61

Molecular orbitals of HOMO and LUMO states

At the equilibrium bond length, isosurfaces of the HOMO and LUMO states are shown below: HOMO LUMO

slide-62
SLIDE 62

Reason why the FM state is favored when separated

When an electron is promoted from the HOMO to LUMO states, the kinetic energy increases, since the LUMO state has the nodal structure in the molecular

  • rbital unlike the HOMO state.

On the other hand, the promoted electron can be resident in the different orbital. This leads to the decrease of the potential energy (Coulomb+exchange-correlation energies). Since the total energy is the sum of two energies, the energetics is determined by the competition between

  • them. Around 2.0Å, there is the phase boundary.

The mechanism to magnetism often appears such as magnetization at the edge state of zigzag graphene.

NM FM Ekin 0.8231 0.9634 Epot

  • 1.7306 -1.9148

Etot

  • 0.9076 -0.9514
slide-63
SLIDE 63

Outlook

  • Classification of first-principles methods
  • Hartree-Fock methods
  • Jellium model
  • Local density appoximation
  • Thomas-Fermi-Dirac model
  • Density functional theory
  • Proof by Levy
  • Kohn-Sham equation
  • Janak’s theorem
  • LDA and GGA
  • Beyond GGA
  • A simple example: H2 molecule

We have discussed the following issues related DFT. I think that there is still a plenty of room for development of DFT.

  • Exchange-correlation functionals
  • DFT for excited states
  • Large-scale DFT methods