J.J.Rehr1, John Vinson1, E.L.Shirley2 J.J. Kas1 and F. Vila1

Slides:



Advertisements
Similar presentations
Get a diamond anvil cell Get beamtime on a synchrotron Load your cell. Put medium. Go to synchrotron Run your experiment Get an ab initio software package.
Advertisements

Research Projects Dr Martin Paul Vaughan available from available from
Igor Reshetnyak, Lucia Reining New starting point for the calculation of optical properties 1.
Quantum Theory of Solids
Ultrashort Lifetime Expansion for Resonant Inelastic X-ray Scattering Luuk Ament In collaboration with Jeroen van den Brink and Fiona Forte.
Introduction to PAW method
PARATEC and the Generation of the Empty States (Starting point for GW/BSE) Andrew Canning Computational Research Division, LBNL and Chemical Engineering.
PA4311 Quantum Theory of Solids Quantum Theory of Solids Mervyn Roy (S6) www2.le.ac.uk/departments/physics/people/mervynroy.
Sohrab Ismail-Beigi Applied Physics, Physics, Materials Science Yale University Describing exited electrons: what, why, how, and what it has to do with.
PA4311 Quantum Theory of Solids Quantum Theory of Solids Mervyn Roy (S6) www2.le.ac.uk/departments/physics/people/mervynroy.
A. Pecchia, A. Di Carlo Dip. Ingegneria Elettronica, Università Roma “Tor Vergata”, Italy A. Gagliardi, Th. Niehaus, Th. Frauenheim Dep. Of Theoretical.
Ab Initio calculations of MAX phases M 2 TlC (M =Ti, Zr, Hf), M 2 GaN, (M = Ti, V, Cr ) S. V. Khare 1, J. A. Warner 2,3, and S. K. R. Patil 3 1.Department.
Electronic properties of water Giulia Galli University of California, Davis
Physics “Advanced Electronic Structure” Lecture 3. Improvements of DFT Contents: 1. LDA+U. 2. LDA+DMFT. 3. Supplements: Self-interaction corrections,
This work was funded in part by the US Department of Energy Grant No. DE-FG03-97ER45623 through the Computational Materials Science Network (CMSN) and.
First Principles Calculations of Complex Oxide Perovskites David-Alexander Robinson Sch., Theoretical Physics, The University of Dublin, Trinity College.
First Principles Investigations of Plutonium Americium and their Mixtures using Dynamical Mean Field Theory Washington February 5-8 (2007). Gabriel.Kotliar.
FUNDAMENTALS The quantum-mechanical many-electron problem and Density Functional Theory Emilio Artacho Department of Earth Sciences University of Cambridge.
Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT Marie Curie Tutorial Series: Modeling Biomolecules December.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP DFT Calculations.
Excitons in Single Wall Dr. Fazeli and Dr. Mozaffari
Lectures Introduction to computational modelling and statistics1 Potential models2 Density Functional.
Hybrid functionals: Dilute Magnetic semiconductors Georg Kresse J. Paier, K. Hummer, M. Marsman, A. Stroppa Faculty of Physics, University of Vienna and.
Algorithms for Total Energy and Forces in Condensed-Matter DFT codes
Norm-conserving pseudopotentials and basis sets in electronic structure calculations Javier Junquera Universidad de Cantabria.
The Nuts and Bolts of First-Principles Simulation Durham, 6th-13th December : DFT Plane Wave Pseudopotential versus Other Approaches CASTEP Developers’
DFT Lecture, The 4 th Summer School for Integrated Computational Materials Education Integrated Computational Materials Engineering Education Lecture on.
Dynamical Mean Field Theory Approach to the Electronic Structure Problem of Solids Gabriel Kotliar Physics Department and Center for Materials Theory.
NSF PI Meeting: The Science of the Cloud, Mar 17-18, 2011 Waterview Conference Center, Arlington, VA Cloud Computing Clusters for Scientific Research*
Penn State, August 2013 Cloud-WIEN2k A Scientific Cloud Computing Platform for Condensed Matter Physics K. Jorissen University of Washington, Seattle,
First-Principles Prediction of Tc (Takada) ISSP Workshop/Symposium: MASP Theory for Reliable First-Principles Prediction of the Superconducting.
New Jersey Institute of Technology Computational Design of Strongly Correlated Materials Sergej Savrasov Supported by NSF ITR (NJIT), (Rutgers)
Connecting Experiment and Theory across Length and Time-scales Algorithms and Software for Materials Research C yber I nfrastructure J. J. Rehr Department.
How to generate a pseudopotential with non-linear core corrections Objectives Check whether the non-linear core-corrections are necessary and how to include.
University of California DavisKashiwa, July 27, 2007 From LDA+U to LDA+DMFT S. Y. Savrasov, Department of Physics, University of California, Davis Collaborators:
Theoretical approaches to the temperature and zero-point motion effects of the electronic band structure of semiconductors 13 april 2011 Theoretical approaches.
PA4311 Quantum Theory of Solids Quantum Theory of Solids Mervyn Roy (S6) www2.le.ac.uk/departments/physics/people/mervynroy.
Comp. Mat. Science School 2001 Lecture 21 Density Functional Theory for Electrons in Materials Richard M. Martin Bands in GaAs Prediction of Phase Diagram.
TBPW: A Modular Framework for Pedagogical Electronic Structure Codes Todd D. Beaudet, Dyutiman Das, Nichols A. Romero, William D. Mattson, Jeongnim Kim.
Fundamentals of DFT R. Wentzcovitch U of Minnesota VLab Tutorial Hohemberg-Kohn and Kohn-Sham theorems Self-consistency cycle Extensions of DFT.
Core loss spectra (EELS, XAS)
PA4311 Quantum Theory of Solids Quantum Theory of Solids Mervyn Roy (S6) www2.le.ac.uk/departments/physics/people/mervynroy.
Optimization of Numerical Atomic Orbitals
The Tightbinding Bandstructure Theory
Density Functional Theory The Basis of Most Modern Calculations
Physics “Advanced Electronic Structure” Lecture 1. Theoretical Background Contents: 1. Historical Overview. 2. Basic Equations for Interacting Electrons.
Development of density functional theory for unconventional superconductors Ryotaro Arita Univ. Tokyo/JST-PRESTO.
The Charge Transfer Multiplet program
Electric field which acts on core C due to the valence electrons and the other cores. Where is a cutoff function for the electric field inside the core.
Introduction to the SIESTA method SUMMER SCHOOL ON COMPUTATIONAL MATERIALS SCIENCE University of Illinois at Urbana-Champaign, June 13-23, 2005 Some technicalities.
Materials Process Design and Control Laboratory ON THE DEVELOPMENT OF WEIGHTED MANY- BODY EXPANSIONS USING AB-INITIO CALCULATIONS FOR PREDICTING STABLE.
Numerical Aspects of Many-Body Theory Choice of basis for crystalline solids Local orbital versus Plane wave Plane waves e i(q+G).r Complete (in practice.
Start. Technische Universität Dresden Physikalische Chemie Gotthard Seifert Tight-binding Density Functional Theory DFTB an approximate Kohn-Sham DFT.
First-Principles calculations of the structural and electronic properties of the high-K dielectric HfO 2 Kazuhito Nishitani 1,2, Patrick Rinke 2, Abdallah.
PA4311 Quantum Theory of Solids Quantum Theory of Solids Mervyn Roy (S6) www2.le.ac.uk/departments/physics/people/mervynroy.
© copyright 2011 William A. Goddard III, all rights reservedCh121a-Goddard-L14 Periodic Boundary Methods and Applications: Ab-initio Quantum Mechanics.
Comp. Mat. Science School Electrons in Materials Density Functional Theory Richard M. Martin Electron density in La 2 CuO 4 - difference from sum.
1 B3-B1 phase transition in GaAs: A Quantum Monte Carlo Study C N M Ouma 1, 2, M Z Mapelu 1, G. O. Amolo 1, N W Makau 1, and R Maezono 3, 1 Computational.
DFT functionals in WIEN2k
Correlation in graphene and graphite: electrons and phonons C. Attaccalite, M. Lazzeri, L. Wirtz, F. Mauri, and A. Rubio.
Electron-Phonon Coupling in graphene Claudio Attaccalite Trieste 10/01/2009.
Quasiparticle Excitations and Optical Response of Bulk and Reduced-Dimensional Systems Steven G. Louie Department of Physics, University of California.
Isolated Si atoms.
Introduction to Tight-Binding
Calculation for XANES and XAFS: Part I. Real Space Multiple Scattering
Production of an S(α,β) Covariance Matrix with a Monte Carlo-Generated
High Performance Computing in materials science from the semiempirical approaches to the many-body calculations Fabio Trani Laboratoire de Physique de.
Prof. Sanjay. V. Khare Department of Physics and Astronomy,
Second quantization and Green’s functions
Get a diamond anvil cell Get beamtime on a synchrotron Load your cell. Put medium. Go to synchrotron Run your experiment Get an ab initio software package.
Presentation transcript:

OCEAN and AI2NBSE postprocessors of ABINIT for Core and Valence Spectra J.J.Rehr1, John Vinson1, E.L.Shirley2 J.J. Kas1 and F. Vila1 1U. of Washington Seattle, WA 2N.I.S.T. Gaithersburg, MD

aka SKWIGGLiE Spectra from K-space Wave-functions with Interactions, Gradually Getting Like Experiment

1. OCEAN* Hybrid approach to core spectroscopy Obtaining Core Excitation spectra using ABINIT and NBSE Hybrid approach to core spectroscopy GW/BSE for XAS, NRIXS, EELS, … PAW Pseudo-potential / planewave DFT Includes self energy damping, multiplets … … *Phys. Rev. B 83, 115106 (2011)

2. Optical-UV Spectra AI2NBSE* (ABINIT + NIST BSE) *Phys. Rev. B 78, 205108 (2008)

Bethe-Salpeter Equation Bubble Ladder Particle-Hole Hamiltonian H = E0 + Vc + W Bubble Vc is unscreened Ladder W is screened

Bethe-Salpeter Equation Central term Multiplets

Dielectric Response < BSE H particle-hole Hamiltonian including: many-pole GW self-energy Σ Algorithm: Haydock recursion

Ground-state Standard Density-Functional Theory Pseudopotential, Plane-wave, LDA ABINIT (www.abinit.org) Well-documented shortcomings; improvements: GW XC + U Core to pseudo transitions with PAW Following Blöchl, PRB 50, 17953 (1994)

Kohn-Sham Wave-Functions ABINIT (Plane-wave, pseudo-potential)* LDA (Ceperley-Alder) Vxc Zero Temp / Frozen lattice Regular grid in k-space Size required varies with BZ volume Core states from NIST HF atomic code *Other PW/PP DFT codes may also work

Electron-hole pair approximation … … Conduction electron Core hole

PAW Matrix Elements

Core-Hole Screening Core response from self-consistent HF Use neutralizing shell to divide valence RPA for short range Model dielectric for long range Hybersten and Louie, Phys Rev B 35, 5585 (1987)

GW Many-pole self-energy Extension of Hedin-Lundqvist plasmon-pole MPSE (Kas et al.*) Calculate loss function with AI2NBSE Model as a series of (many) poles Apply as convolution LiF loss J.J. Kas et. al, Phys Rev B 76, 195116 (2007)

OCEAN Package Structure DFT/ABINIT HFAtom Spectra BSE

Example: Li K-edge XAS of LiF 1000 k-points 100 Ha. cut-off Expt. data from K. Handa et. al, Memoires Sr. Center Ritsumeika Univ 7 (2005)

Example: Li K-edge XAS of LiF Comparison with EXC!TING* (NO MPSE) 1000 k-points 100 Ha. cut-off NO MPSE *W. Olovsson et. al, Phys Rev B 79, 041102(R) (2009)

Example: F K-edge XAS in LiF 1000 k-points 100 Ha. cut-off Expt. data from E. Hudson et. al, Phys. Rev. B 49, 3701 (1994)

Ice: O K edge XAS 8 molecule cells 216 k-points 50 Ha. cut-off Expt. data from P. Wernet et. al, Science 304, 995 (2004)

*J. Elec.Spect. Rel. Phen. 144, 1187(2005) Example: L-edge Spectra – Multiplet effects Ti L2,3 edge SrTiO3 *J. Elec.Spect. Rel. Phen. 144, 1187(2005) alá E. Shirley: BSE + KS crystal potential ab initio – no parameters cf. De Groot et al – Atomic model + crystal-field parameters

L23 Transition Elements V L23 Ni L23 PRL 45, 397 (1980)

Ψ Many Pole model for phonons 3. Ab initio XAS Debye Waller Factors e-2σ2 k2 * Ψ Many Pole model for phonons VDOS ρ D ynamical matrix D from ABINIT *Phys. Rev. B 76, 014301 (2007)

Example: XAFS Debye-Waller Factor of Ge F. Vila et al. Phys. Rev. B76, 014301 (2007) Expt: Dalba et al. (1999)

Conclusions Core & Valence BSE+GW packages OCEAN & AI2NBSE NRIXS, EELS, XAS, Includes GW self-energy, multiplets, .. Future: RIXS, XPS, DW factors, etc.

Acknowledgments J. Vinson (UW) Rehr Group & collaborators Thanks to J. Kas (UW) F. Vila (UW) K. Jorissen (UW) H. Lawler (Vanderbilt) E. Shirley (NIST) X. Gonze, UC de Louvain A. Soininen (U. Helsinki) L. Reining (E. Polytechnique) C. Ambrosch-Draxl (U. Leobon) T. Ahmed (UW) Supported by DOE BES Grant DEFG03-97ER45623 & DOE Computational Materials Science Network