Collaborators: G.Kotliar, S. Savrasov, V. Oudovenko Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Electronic Structure.

Slides:



Advertisements
Similar presentations
Iron pnictides: correlated multiorbital systems Belén Valenzuela Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC) ATOMS 2014, Bariloche Maria José.
Advertisements

From weak to strong correlation: A new renormalization group approach to strongly correlated Fermi liquids Alex Hewson, Khan Edwards, Daniel Crow, Imperial.
ELECTRONIC STRUCTURE OF STRONGLY CORRELATED SYSTEMS
D-wave superconductivity induced by short-range antiferromagnetic correlations in the Kondo lattice systems Guang-Ming Zhang Dept. of Physics, Tsinghua.
Physics “Advanced Electronic Structure” Lecture 3. Improvements of DFT Contents: 1. LDA+U. 2. LDA+DMFT. 3. Supplements: Self-interaction corrections,
Interplay between spin, charge, lattice and orbital degrees of freedom
Towards a first Principles Electronic Structure Method Based on Dynamical Mean Field Theory Gabriel Kotliar Physics Department and Center for Materials.
Optical Conductivity of Cuprates Superconductors: a Dynamical RVB perspective Work with K. Haule (Rutgers) Collaborators : G. Biroli M. Capone M Civelli.
Collaborators: G.Kotliar, S. Savrasov, V. Oudovenko Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Electronic Structure.
Collaborators: Ji-Hoon Shim, G.Kotliar Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Uncovering the secrets of.
LDA band structures of transition-metal oxides Is it really the prototype Mott transition? The metal-insulator transition in V 2 O 3 and what electronic.
THE STATE UNIVERSITY OF NEW JERSEY RUTGERS Excitation spectra.
IJS The Alpha to Gamma Transition in Ce: A Theoretical View From Optical Spectroscopy K. Haule, V. Oudovenko, S. Savrasov, G. Kotliar DMFT(SUNCA method)
Extended Dynamical Mean Field. Metal-insulator transition el-el correlations not important:  band insulator: the lowest conduction band is fullthe lowest.
DMFT approach to many body effects in electronic structure. Application to the Mott transition across the actinide series [5f’s]. G.Kotliar Phyiscs Department.
Bishop’s Lodge, Santa Fe 2007 Modelling the Localized to Itinerant Electronic Transition in the Heavy Fermion System CeIrIn 5 K Haule Rutgers University.
Strongly Correlated Superconductivity G. Kotliar Physics Department and Center for Materials Theory Rutgers.
Bonn, 2008 Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim.
Electronic Structure of Strongly Correlated Materials : a DMFT Perspective Gabriel Kotliar Physics Department and Center for Materials Theory Rutgers University.
Quantum Criticality and Fractionalized Phases. Discussion Leader :G. Kotliar Grodon Research Conference on Correlated Electrons 2004.
Strongly Correlated Superconductivity G. Kotliar Physics Department and Center for Materials Theory Rutgers.
Diagrammatic Theory of Strongly Correlated Electron Systems.
K Haule Rutgers University
Gordon Conference 2007 Superconductivity near the Mott transition: what can we learn from plaquette DMFT? K Haule Rutgers University.
Kristjan Haule, Physics Department and Center for Materials Theory
Cluster DMFT studies of the Mott transition of Kappa Organics and Cuprates. G. Kotliar Physics Department and Center for Materials Theory Rutgers La Jolla.
48 Sanibel Symposium 2008 Cluster Dynamical Mean Field Approach to Strongly Correlated Materials K Haule Rutgers University.
Strongly Correlated Electron Systems a Dynamical Mean Field Perspective:Points for Discussion G. Kotliar Physics Department and Center for Materials Theory.
Dynamical Mean Field Theory in Electronic Structure Calculations:Applications to solids with f and d electrons Gabriel Kotliar Physics Department and Center.
THE STATE UNIVERSITY OF NEW JERSEY RUTGERS Hubbard model  U/t  Doping d or chemical potential  Frustration (t’/t)  T temperature Mott transition as.
Renormalised Perturbation Theory ● Motivation ● Illustration with the Anderson impurity model ● Ways of calculating the renormalised parameters ● Range.
Collaborators: G.Kotliar, Ji-Hoon Shim, S. Savrasov Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Electronic Structure.
Kristjan Haule, Physics Department and Center for Materials Theory
The alpha to gamma transition in Cerium: a theoretical view from optical spectroscopy Kristjan Haule a,b and Gabriel Kotliar b a Jožef Stefan Institute,
Optical Properties of Strongly Correlated Electrons: A Dynamical Mean Field Approach G. Kotliar Physics Department and Center for Materials Theory Rutgers.
THE STATE UNIVERSITY OF NEW JERSEY RUTGERS Mean-Field : Classical vs Quantum Classical case Quantum case Phys. Rev. B 45, 6497 A. Georges, G. Kotliar (1992)
Towards Realistic Electronic Structure Calculations of Correlated Materials Exhibiting a Mott Transition. Gabriel Kotliar Physics Department and Center.
Collaborators: G.Kotliar, Ji-Hoon Shim, S. Savrasov Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Electronic Structure.
Introduction to Strongly Correlated Electron Materials, Dynamical Mean Field Theory (DMFT) and its extensions. Application to the Mott Transition. Gabriel.
Dynamical Mean Field Theory and Electronic Structure Calculations Gabriel Kotliar Center for Materials Theory Rutgers University.
Theoretical Treatments of Correlation Effects Gabriel Kotliar Physics Department and Center for Materials Theory Rutgers University Workshop on Chemical.
Cellular DMFT studies of the doped Mott insulator Gabriel Kotliar Center for Materials Theory Rutgers University CPTH Ecole Polytechnique Palaiseau, and.
Correlation Effects in Itinerant Magnets, Application of LDA+DMFT(Dynamical Mean Field Theory) and its static limit the LDA+U method. Gabriel Kotliar Physics.
Spectral Density Functional: a first principles approach to the electronic structure of correlated solids Gabriel Kotliar Physics Department and Center.
48 Sanibel Symposium 2008 Cluster Dynamical Mean Field Approach to Strongly Correlated Materials K Haule Rutgers University.
THE STATE UNIVERSITY OF NEW JERSEY RUTGERS Studies of Antiferromagnetic Spin Fluctuations in Heavy Fermion Systems. G. Kotliar Rutgers University. Collaborators:
IJS Strongly correlated materials from Dynamical Mean Field Perspective. Thanks to: G.Kotliar, S. Savrasov, V. Oudovenko DMFT(SUNCA method) two-band Hubbard.
First Principles Investigations of Plutonium Americium and their Mixtures using Dynamical Mean Field Theory Washington February 5-8 (2007). Gabriel.Kotliar.
Superconductivity Characterized by- critical temperature T c - sudden loss of electrical resistance - expulsion of magnetic fields (Meissner Effect) Type.
A1- What is the pairing mechanism leading to / responsible for high T c superconductivity ? A2- What is the pairing mechanism in the cuprates ? What would.
Gabriel Kotliar Rutgers
APS Meeting, New Orleans, 2008 Modeling the Localized to Itinerant Electronic Transition in the Heavy Fermion System CeIrIn 5 K Haule Rutgers University.
Dynamical Mean Field Theory of the Mott Transition Gabriel Kotliar Physics Department and Center for Materials Theory Rutgers University Jerusalem Winter.
Optical Conductivity of Cuprates Superconductors: a Dynamical RVB perspective Work with K. Haule (Rutgers) K. Haule, G. Kotliar, Europhys Lett. 77,
Mon, 6 Jun 2011 Gabriel Kotliar
B. Valenzuela Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC)
Dynamical Mean Field Theory Approach to the Electronic Structure Problem of Solids Gabriel Kotliar Physics Department and Center for Materials Theory.
Introduction to Hubbard Model S. A. Jafari Department of Physics, Isfahan Univ. of Tech. Isfahan , IRAN TexPoint fonts used in EMF. Read the.
New Jersey Institute of Technology Computational Design of Strongly Correlated Materials Sergej Savrasov Supported by NSF ITR (NJIT), (Rutgers)
University of California DavisKashiwa, July 27, 2007 From LDA+U to LDA+DMFT S. Y. Savrasov, Department of Physics, University of California, Davis Collaborators:
Generalized Dynamical Mean - Field Theory for Strongly Correlated Systems E.Z.Kuchinskii 1, I.A. Nekrasov 1, M.V.Sadovskii 1,2 1 Institute for Electrophysics.
Raman Scattering As a Probe of Unconventional Electron Dynamics in the Cuprates Raman Scattering As a Probe of Unconventional Electron Dynamics in the.
Spatially resolved quasiparticle tunneling spectroscopic studies of cuprate and iron-based high-temperature superconductors Nai-Chang Yeh, California Institute.
Mott Transition and Superconductivity in Two-dimensional
Dirac fermions with zero effective mass in condensed matter: new perspectives Lara Benfatto* Centro Studi e Ricerche “Enrico Fermi” and University of Rome.
Kondo Effect Ljubljana, Author: Lara Ulčakar
Review on quantum criticality in metals and beyond
Yosuke Harashima, Keith Slevin
Bumsoo Kyung, Vasyl Hankevych, and André-Marie Tremblay
UC Davis conference on electronic structure, June. 2009
Presentation transcript:

Collaborators: G.Kotliar, S. Savrasov, V. Oudovenko Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Electronic Structure of Strongly Correlated Electron Materials: A Dynamical Mean Field Perspective.

Application of DMFT to real materials (Spectral density functional approach). Examples: –alpha to gamma transition in Ce, optics near the temperature driven Mott transition. –Mott transition in Americium under pressure Extensions of DMFT to clusters. Examples: –Superconducting state in t-J the model –Optical conductivity of the t-J model Overview

V2O3V2O3 Ni 2-x Se x  organics Universality of the Mott transition First order MIT Critical point Crossover: bad insulator to bad metal 1B HB model (DMFT):

Coherence incoherence crossover in the 1B HB model (DMFT) Phase diagram of the HM with partial frustration at half-filling M. Rozenberg et.al., Phys. Rev. Lett. 75, 105 (1995).

mapping fermionic bath Basic idea of DMFT: reduce the quantum many body problem to a one site or a cluster of sites, in a medium of non interacting electrons obeying a self consistency condition. Basic idea of Spectral density functional approach: instead of using functionals of the density, use more sensitive functionals of the one electron spectral function. [density of states for adding or removing particles in a solid, measured in photoemission] Dynamical Mean Field Theory

Density functional theory Dynamical mean field theory: observable of interest is the electron density observable of interest is the local Green's function (on the lattice uniquely defined) fermionic bath mapping exact BK functional DMFT approximation DFT & DMFT from the unifying point of view

LDA+U corresponds to LDA+DMFT when impurity is solved in the Hartree Fock approximation observable of interest is the "local“ Green's functions (spectral function) Currently feasible approximations: LDA+DMFT and GW+DMFT: G. Kotliar et.al., cond-mat/ Spectral density functional theory basic idea: sum-up all local diagrams for electrons in correlated orbitals

f1 L=3,S=1/2 J=5/2 f6 L=3,S=3 J=0 Periodic table

Cerium

Ce overview volumesexp.LDALDA+U  28Å Å 3  34.4Å Å 3 Transition is 1.order ends with CP  isostructural phase transition ends in a critical point at (T=600K, P=2GPa)   (fcc) phase [ magnetic moment (Curie-Wiess law), large volume, stable high-T, low-p]   (fcc) phase [ loss of magnetic moment (Pauli-para), smaller volume, stable low-T, high-p] with large volume collapse  v/v  15 

LDA and LDA+U f DOS total DOS volumesexp.LDALDA+U  28Å Å 3  34.4Å Å 3 ferromagnetic

LDA+DMFT alpha DOS T K (exp)= K

LDA+DMFT gamma DOS T K (exp)=60-80K

Photoemission&experiment Fenomenological Landau approach: Kondo volume colapse (J.W. Allen, R.M. Martin, 1982) A. Mc Mahan K Held and R. Scalettar (2002) K. Haule V. Udovenko and GK. (2003)

Optical conductivity * + + K. Haule, et.al., Phys. Rev. Lett. 94, (2005) * J.W. van der Eb, A.B. Ku’zmenko, and D. van der Marel, Phys. Rev. Lett. 86, 3407 (2001)

Americium

"soft" phase f localized "hard" phase f bonding Mott Transition? f 6 -> L=3, S=3, J=0 A.Lindbaum, S. Heathman, K. Litfin, and Y. Méresse, Phys. Rev. B 63, (2001) J.-C. Griveau, J. Rebizant, G. H. Lander, and G.Kotliar Phys. Rev. Lett. 94, (2005)

Am within LDA+DMFT S. Y. Savrasov, K. Haule, and G. Kotliar Phys. Rev. Lett. 96, (2006) F (0) =4.5 eV F (2) =8.0 eV F (4) =5.4 eV F (6) =4.0 eV Large multiple effects:

Am within LDA+DMFT n f =6 Comparisson with experiment from J=0 to J=7/2 “Soft” phase very different from  Ce not in local moment regime since J=0 (no entropy) "Hard" phase similar to  Ce, Kondo physics due to hybridization, however, nf still far from Kondo regime n f =6.2 Different from Sm! Exp: J. R. Naegele, L. Manes, J. C. Spirlet, and W. Müller Phys. Rev. Lett. 52, (1984) Theory: S. Y. Savrasov, K. Haule, and G. Kotliar Phys. Rev. Lett. 96, (2006) V=V 0 Am I V=0.76V 0 Am III V=0.63V 0 Am IV

Beyond single site DMFT What is missing in DMFT? Momentum dependence of the self-energy m*/m=1/Z Various orders: d-waveSC,… Variation of Z, m*,  on the Fermi surface Non trivial insulator (frustrated magnets) Non-local interactions (spin-spin, long range Columb,correlated hopping..) Present in DMFT: Quantum time fluctuations Present in cluster DMFT: Quantum time fluctuations Spatially short range quantum fluctuations

The simplest model of high Tc’s t-J, PW Anderson Hubbard-Stratonovich ->(to keep some out-of-cluster quantum fluctuations) BK Functional, Exact cluster in k spacecluster in real space

t’=0 Phase diagram What can we learn from “small” Cluster-DMFT?

Insights into superconducting state (BCS/non-BCS)? J. E. Hirsch, Science, 295, 5563 (2226) BCS: upon pairing potential energy of electrons decreases, kinetic energy increases (cooper pairs propagate slower) Condensation energy is the difference non-BCS: kinetic energy decreases upon pairing (holes propagate easier in superconductor)

D van der Marel, Nature 425, (2003) cond-mat/ Optical conductivity overdoped optimally doped

Bi2212 ~1eV Weight bigger in SC, K decreases (non-BCS) Weight smaller in SC, K increases (BCS-like) Optical weight, plasma frequency D. van der Marel et.al., in preparation

Hubbard model Drude U t 2 /U t-J model J Drude no-U Experiments intraband interband transitions ~1eV Excitations into upper Hubbard band Kinetic energy in Hubbard model: Moving of holes Excitations between Hubbard bands Kinetic energy in t-J model Only moving of holes Hubbard versus t-J model

Phys Rev. B 72, (2005) cluster-DMFT, cond-mat/ Kinetic energy change Kinetic energy decreases Kinetic energy increases Exchange energy decreases and gives largest contribution to condensation energy cond-mat/

electrons gain energy due to exchange energy holes gain kinetic energy (move faster) underdoped electrons gain energy due to exchange energy hole loose kinetic energy (move slower) overdoped BCS like same as RVB (see P.W. Anderson Physica C, 341, 9 (2000), or slave boson mean field (P. Lee, Physica C, 317, 194 (1999) Kinetic energy upon condensation J J J J

Optics mass and plasma frequency Extended Drude model Within DMFT, optics mass is m*/m=1/Z and diverges at the Mott transition Plasma frequency vanishes as 1/Z (Drude shrinks as Kondo peak shrinks) In cluster-DMFT optics mass constant at low doping doping Plasma frequency vanishes because the active (coherent) part of the Fermi surface shrinks line: cluster DMFT (cond-mat ), symbols: Bi2212, Van der Marel (in preparation)

Optimal doping: Powerlaws cond-mat/ D. van der Marel et. al., Nature 425, 271 (2003).

Optimal doping: Coherence scale seems to vanish Tc underdoped overdoped optimally scattering at Tc

Local density of states of SC V shaped gap (d-wave) size of gap decreases with doping CDMFT-optimall doping PH symmetric STM study Cluster DMFT 1 Larger doping 6 Smaller doping

Pengcheng et.al., Science 284, (1999) YBa 2 Cu 3 O 6.6 (Tc=62.7K) 41meV resonance local susceptibility Resonance at 0.16t~48meV Most pronounced at optimal doping Second peak shifts with doping (at 0.38~120meV opt.d.) and changes below Tc – contribution to condensation energy

Pseudoparticle insight N=4,S=0,K=0 N=4,S=1,K=(  ) N=3,S=1/2,K=( ,0) N=2,S=0,K=0 A(  )  ’’ (  ) PH symmetry, Large 

LDA+DMFT can describe interplay of lattice and electronic structure near Mott transition. Gives physical connection between spectra, lattice structure, optics,.... –Allows to study the Mott transition in open and closed shell cases. –In both Ce and Am single site LDA+DMFT gives the zeroth order picture –Am: Rich physics, mixed valence under pressure. 2D models of high-Tc require cluster of sites. Some aspects of optimally doped, overdoped and slightly underdoped regime can be described with cluster DMFT on plaquette: –Evolution from kinetic energy saving to BCS kinetic energy cost mechanism –Optical mass approaches a constant at the Mott transition and plasma frequency vanishes –At optimal doping: Physical observables like optical conductivity and spin susceptibility show powerlaw behavior at intermediate frequencies, very large scattering rate – vanishing of coherence scale, PH symmetry is dynamically restored, 41meV resonance appears in spin response Conclusions

local in localized LMTO base Impurity problem (14x14): LDA Impurity solver DMFT SCC * * LDA+DMFT implementation

Carbone et.al., in preparation Comparison of spectral weight cluster DMFT / Bi2212 Spectral weight (kinetic energy) changes faster with T in overdoped system – larger coherence scale

Partial DOS 4f 5d 6s Z=0.33

More complicated f systems Hunds coupling is important when more than one electron in the correlated (f) orbital Spin orbit coupling is very small in Ce, while it become important in heavier elements The complicated atom embedded into fermionic bath (with crystal fileds) is a serious chalange so solve! Coulomb interaction is diagonal in the base of total LSJ -> LS base while the SO coupling is diagonal in the j-base -> jj base Eigenbase of the atom depends on the strength of the Hund's couling and strength of the spin-orbit interaction

Mott transition (B. Johansson, 1974): Kondo volume colapse (J.W. Allen, R.M. Martin, 1982): Classical theories Hubbard model Anderson (impurity) model changes and causes Mott tr. changes → chnange of T K bath either constant or taken from LDA and rescaled spd electrons pure spectators hybridization with spd electrons is crucial f electrons insulating f electrons in local moment regime (Lavagna, Lacroix and Cyrot, 1982) Fenomenological Landau approach:

LDA+DMFT ab initio calculation is self-consistently determined contains t ff and V fd hopping bath for AIM Kondo volume colapse model resembles DMFT picture: Solution of the Anderson impurity model → Kondo physics Difference: with DMFT the lattice problem is solved (and therefore Difference: with DMFT the lattice problem is solved (and therefore Δ must self- consistently determined) while in KVC Δ is calculated for a fictious impurity (and needs to be rescaled to fit exp.) In KVC scheme there is no feedback on spd bans, hence optics is not much affected.

An example Atomic physics of selected Actinides

Basov, cond-mat/ optics mass and plasma w

Two Site CDMFTin the 1D Hubbard model Two Site CDMFT in the 1D Hubbard model M.Capone M.Civelli V. Kancharla C.Castellani and Kotliar, PRB 69, (2004)

Slave particle diagrammatic impurity solvers NCA OCA TC A Luttinger Ward functional every atomic state represented with a unique pseudoparticle atomic eigenbase - full (atomic) base, where general AIM: ( )

SUNCA vs QMC two band Hubbard model, Bethe lattice, U=4D three band Hubbard model, Bethe lattice, U=5D, T=0.0625D three band Hubbard model, Bethe lattice, U=5D, T=0.0625D