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Daniel Karlsson, Lund May, 2011, Naples Young Researchers’ meeting 1

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  • Daniel Karlsson, Lund

    May, 2011, Naples

    TexPoint fonts used in EMF.

    Read the TexPoint manual before you delete this box.: AAAAAAAAAAAAAAAAAAA

    Young Researchers’ meeting 1

  • Why consider model systems?

    Comparisons: can be solved exactly

    Simplicity: clues about strong correlation, non-adiabaticity, memory effects

    Complex: Can describe cold atoms in optical lattices

    2

  • Overview

    TDDFT for the Hubbard model

    xc-functionals for 3D systems

    Linear response in the ALDA

    Full time evolution: Benchmarking ALDA beyond the linear regime

    Karlsson, Privitera, Verdozzi, PRL (2011)

    Verdozzi, Karlsson, Puig, Almbladh, von Barth,

    arXiv:1103.2291v1 (2011) (accepted by Chem. Phys.)

    3

  • Density Functional Theory (DFT)

    Continous case: Hohenberg-Kohn (1964) Mapping between densities and potentials:

    Lattice case: Gunnarsson, Schönhammer (1986)

    Gunnarsson, Schönhammer , Noack (1995) Mapping between site occupancy and potentials:

    n(x) ) v(x)

    n ( x i ) ) v ( x i )

    4

  • Energy is split into several terms:

    Continuous case: from homogeneous electron gas

    Lattice case: Depends on coordination number!

    1D: from homogeneous 1D Hubbard chain

    3D simple cubic: Homogeneous 3D simple cubic

    Other dimensionalities: Different Exc:s (surface different than bulk)

    E [n] = T0 [n] + EH [n] +Rvextn + Exc[n]

    Exc[n]

    Exc[n]

    5

    Reference systems in DFT

  • Continuous case: Runge-Gross theorem (1984)

    Lattice case: Theorem from continous case does not go through

    Mapping in 1D due to TDCDFT

    Open problem for D>1

    Time Dependent DFT (TDDFT)

    n(x; t) ) v(x; t)

    6

  • Lattice TDDFT

    Verdozzi (2008): ALDA for 1D finite Hubbard cluster

    Exc from 1D homogeneous Hubbard model: Exactly solvable by Bethe Ansatz

    No exact solution for 3D

    TDDFT for the Hubbard model

    Hubbard model

    vALDAxc [n](Ri; t) = vgsxc(n(Ri; t))

    T̂ Û V̂ext

    H = ¡ tX

    hR R 0 i¾

    a+

    R ¾aR 0¾+

    X

    R

    U R n̂ R " n̂ R # +

    X

    R ¾

    w R ¾ ( t) n̂ R ¾

    7

  • Overview

    TDDFT for the Hubbard model

    xc-functionals for 3D systems

    Linear response in the ALDA

    Full time evolution: Benchmarking ALDA beyond the linear regime

    8

  • Dynamical Mean Field Theory (DMFT)

    U Electron bath

    time

    • Hubbard model remapped into impurity model

    • Infinite number of nearest neighbors: exact mapping

    • Impurity model: Interacting impurity + reservoir of non-interacting electrons with effective parameters

    •Non-perturbative in the interaction U: strong correlations possible

    9

  • Vxc discontinuous at half-filling density for high interaction, DFT manifestation of the Mott-Hubbard insulator transition

    DMFT-LDA: Exchange-Correlation in 3D

    Karlsson, Privitera, Verdozzi, PRL (2011)

    Exc = EDM F T ¡ T0 ¡ EH

    10

  • Overview

    TDDFT for the Hubbard model

    xc-functionals for 3D systems

    Linear response in the ALDA

    Full time evolution: Benchmarking ALDA beyond the linear regime

    11

  • Linear response using ALDA Object of study: retarded density-density response

    function for infinite 3D Hubbard model

    In TDDFT:

    Â (R ; t) = ¡ iµ (t)h [ ~nR (t) ; ~n 0 (0 )]ig s

    Â(q; !) =Â0(q; !)

    1¡ (U + fxc)Â0(q; !)

    Â 0 (q ; ! ) =2

    (2¼ )3

    Zd3kn F (²k ) ¡ n F (²k+ q )

    ²k ¡ ²k+ q + ! + i´

    ²k =¡2t(coskx +cosky +coskz)12

  • Linear response: fxc from DMFT

    fxc can become positive at densities close to half-filling

    fxc

    n

    13

  • Linear response: Reciprocal Space

    Quarter-filling: lowers effective interaction

    High filling: Positive fxc shifts poles to higher energies

    q = ( ¼ ; 0 ; 0 )

    q = ( ¼ ; ¼ ; 0 )

    q = ( ¼ ; ¼ ; ¼ )

    14

    n = 0 :5

    n = 0 :8 5

    n = 0 :5

    n = 0 :5

    ¡=Â(q;!)

    U = 8

    U = 8

    U = 8

    f x c > 0

  • Linear response: Double Occupancy

    Double occupancy can be negative, in RPA and in ALDA

    P a ram e te r s hn " n # iD M F T hn " n # i 0 hn " n # iR P A hn " n # iA LD AU = 8 ; n = 0 :5 0 .0 3 6 3 0 .0 6 2 -0 .0 1 0 -0 .0 0 7

    U = 24 ; n = 0 :5 0 .0 1 6 1 0 .0 6 2 -0 .0 4 7 -0 .0 3 5

    U = 8 ; n = 0 :8 5 0 .1 1 4 0 .1 7 8 0 .0 7 2 0 .0 5 9

    Ta b le 1 : D o u b le o c c u p a n c ie s o b ta in ed from D M FT , c om p a re d a g a in st r e su lt s

    from lin e a r r e sp o n se .

    ¡ 1¼

    Z 1

    0

    =mÂ(R = 0;R0 = 0; !)d! = hni ¡ hni2 + 2hn"n#i

    15

  • Overview

    TDDFT for the Hubbard model

    xc-functionals for 3D systems

    Linear response in the ALDA

    Full time evolution: Benchmarking ALDA beyond the linear regime

    16

  • • Use the ground state vxc from DMFT, in the ALDA:

    TDDFT time propagation:

    DMFT-TDDFT vs exact in a 125-site cluster

    Interaction and perturbation only in the center

    U

    U

    Via symmetry, can be reduced to a 10-site effective cluster

    vxc (R i ; t) ! vDM F Txc (n (R i ; t))

    ³T̂0 + v̂ef f (t)

    ´' i(t) = i¹h

    d' i (t)

    dt

    Time-dependent Kohn-Sham:

    17

  • • Basic quantity: Single-particle Greens function: • Dyson Equation in time • Two times: Iterative time propagation on the time square to obtain non-equilibrium Green’s function

    Kadanoff-Baym dynamics

    Kadanoff and Baym (1962); Keldysh, JETP (1965); Danielewicz, AoP (1984) 18

  • Many-Body Approximations

    19

    2nd Born (BA), GW, Tmatrix (TMA)

    • Includes non-local effects in space and time

  • ALDA describes strong interaction better than KBE

    TDDFT vs Kadanoff-Baym dynamics in 3D

    U

    Strong Gaussian potential

    U = 8

    U = 24

    20

  • TDDFT vs Kadanoff-Baym dynamics in 3D

    U

    KBE describes non-adiabatic response better than ALDA

    U = 8

    U = 8

    Step potential

    Weak

    Strong

    21

  • • Linear response for 3D homogeneous Hubbard model:

    • fxc can become positive at high densities

    • Double occupancy can become negative in RPA and in ALDA

    • Time evolution for finite 3D clusters:

    • High interaction: Manageable by ALDA

    • Non-adiabatic perturbations: non-local effects needed, non-equilibrium Green’s functions can help

    Conclusions

    Verdozzi, Karlsson, Puig, Almbladh, von Barth,

    arXiv:1103.2291v1 (accepted by Chem. Phys.) 22

  • 23

  • DMFT-TDDFT vs exact in a 125-site cluster

    U=8 U=8 U=8

    U=24 U=24 U=24

    Ne=40 Ne=40 Ne=70

    ALDA performance good in a)-e) but worsens considerably in panel f) Why?

    • a-e): exact vKS local. f): vKS non local; ALDA-DMFT misses non-locality

    n0

    n0

    Vext

    Karlsson, Privitera, Verdozzi, PRL (2010)

    U

    24

  • Comparison between 1D and 3D Vxc

    1D: Always a discontinuity for

    3D: Discontinuity for

    DMFT (3D)

    BALDA (1D)

    U=8

    U=24

    DMFT (3D)

    BALDA (1D)

    U > 0+

    U > 13

    25

  • Mott plateaus in parabolic potential

    Parabolic potential

    26

  • Mott plateaus: time evolution

    Parabolic potential

    27

  • Linear response: Real space

    28

  • DMFT: Self-consistent scheme Schematics of DMFT

    • Auxiliary AIM solved via

    Lanczos diagonalisation

    with N=8 (converged)

    degrees of freedom

    • Local occupancies/

    potential energy from AIM

    • Kinetic Energy from the

    lattice Green’s function

    29

  • Weak interaction U

    Weak field F

    Damping

    Weak interaction U

    strong field F

    Beatings with frequency U

    Ponomarev, PhD thesis (2008)

    Bloch Oscillations, example in 1D

    Non-interacting: x = 2E

    cos E t oscillations at ! = E

    If constant electric field E applied, electrons oscillate in a periodic potential.

    30

  • Bloch oscillations in the 3D Hubbard model

    •Semiclassically

    • Center-of-mass:

    • Interactions: Different phenomena: depending

    on E and U, e.g. beatings and damped behavior

    • Correct beating behavior observed, splitting • No clear signature of damping: non-adiabatic potentials needed

    F

    x =2

    Ecos E t

    • Cluster: 33 x 5 x 5

    Karlsson, Privitera, Verdozzi PRL (2011) 31

  • • Basic quantity

    • Dyson Equation in time

    • Conserving approximations: functional derivative of generating functionals

    • In equilibrium,

    • Time propagation on the time square

    Kadanoff-Baym dynamics

    Kadanoff and Baym (1962); Keldysh, JETP (1965); Danielewicz, AoP (1984)

    Total energy, one-particle averages, Excitation energies with 1 particle

    - Iteration of Dyson’s equation until convergence

    - For building blocks of S: predictor corrector algorithm

    32

  • Kohn-Sham (1965): Construct fictitious non-interacting system, gives density of interacting system

    Also possible in the lattice case.

    The Kohn-Sham system

    ³T̂ + v̂ef f

    ´' i = ²i' i

    Pocci=1

    j'i(x)j2 = n(x)

    v̂eff = v̂ext + v̂H + v̂xc

    v̂xc =±Exc±n

    33

  • Linear response: F-sum rule

    Test successfully performed in reciprocal space

    34

    M(q) = ¡ 2¼

    ZIm(Â0(q; !))!d! =

    ¡ 2(2¼)3

    Zd3khcykcki(²(k+ q) + ²(k¡ q) ¡ 2²(k)):

  • Â = Â0 +Â0(U + fxc)Â

    fxc(R;R0; t; t0) =

    ±vxc(R;t)

    ±nR0(t0)

    fALDAxc (R;R0; t; t0) =

    dvxc(nR(t))

    dnR0 (t0)

    fALDAxc (R;R0; t; t0) = v0xc(nR(t))±RR0±(t¡ t0) f ALDAxc (q ; ! ) = fxc

    fxc =± vxc

    ±n

    S(!) =1

    Z 1

    ¡1hn(t)ni0ei!tdt Structure factor

    Constant kernel

    Details for linear response

    35

  • TDDFT: Drawbacks and advantages Time Dependent Density Functional Theory (TDDFT):

    Advantages: Accurate Can treat large systems

    Drawbacks: Describing strong correlation Non-adiabatic effects

    Dynamical Mean Field Theory (DMFT):

    Non-perturbative, can describe strong correlation

    Kadanoff-Baym Dynamics (KBE): Able to treat memory effects

    36

  • References Daniel Karlsson, Antonio Privitera, Claudio Verdozzi, Phys. Rev. Lett. 106, 116401 (2011)

    Claudio Verdozzi, Daniel Karlsson, Marc Puig von Friesen, Carl-Olof Almbladh, Ulf

    von Barth; arXiv:1103.2291v1 (accepted by Chemical Physics)

    Lima et al, PRL (2003)

    37