theory @ ifp · pdf filebattiato liang si dr. georg rohringer markus wallerberger patrik...
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AG Held
Anna Galler
Dr. Patrik ThunströmCiro Taranto
Thomas Schäfer Elias Assmann Dr. Jan Tomczak
&
Dr. Marco Battiato
Liang Si
Dr. Georg Rohringer
Markus Wallerberger
Patrik Gunacker
Dr. Zhicheng Zhong
Recent/Current PAs Monika Stipsitz, Patrik Gunacker, Rainer Bachleitner, Tin Ribic, Stefan Donsa, Lukas Semmelrock, Georg Harrer, Lorenz Auzinger
Dr. Angelo Valli
AG Toschi
Theory @ IFP
AG Held: Research topics
computational materials science: LDA+DMFT
quantum field theory: DA
physics of strongly correlated electron systems: thermoelectrics, kinks, QCP, heterostructures...
physics of nanoscopic systems: NanoDMFT, decoherence, Kondo, RMT qdots...
Computational Materials ScienceLDA bandstructure theory many body theory
+ • material specific • many electron physics− • effective one-particle approach • model Hamiltonian
Computational Materials ScienceLDA bandstructure theory many body theory
+ • material specific • many electron physics− • effective one-particle approach • model Hamiltonian
: Coulomb WW
⇒ correlations
←lattice potenti-
al
Computational Materials ScienceLDA bandstructure theory many body theory
+ • material specific • many electron physics− • effective one-particle approach • model Hamiltonian
: Coulomb WW
⇒ correlations
←lattice pot.
Computational Materials ScienceLDA bandstructure theory many body theory
+ • material specific • many electron physics− • effective one-particle approach • model Hamiltonian
: Coulomb WW
⇒ correlations
←lattice pot.
time averaged
electron density
−→
Computational Materials ScienceLDA bandstructure theory many body theory
+ • material specific • many electron physics− • effective one-particle approach • model Hamiltonian
time averaged
electron density
−→
Computational Materials ScienceLDA bandstructure theory many body theory
+ • material specific • many electron physics− • effective one-particle approach • model Hamiltonian
time averaged
electron density
−→
Local density approximation (LDA) + dynamical mean field theory (DMFT):realistic calculation of strongly correlated materials
Quantum Field Theory for Solids
Development of new methods
e.g. dynamical vertex approximation (DΓA), 1PI functional
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i i
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j j+ ...
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i j
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Γred
=Σ
• Magnons
• Quantum criticality
• High temperature superconductivity
ERC grant AbinitioDΓA
Physics of correlated electron systems
Kinks
0
0.01
0.02
0.03
0.04
0.05
0 0.02 0.04 0.06 0.08
χ s-1
(Q,ω
=0
)
T/D
TNTN
DΓA
DMFTTN
DMFT
DΓA 2d U=D
Fit: a e-2 b/T
DΓA 3d, U=1.25 D
Fit: c (T-TN)2ν
Criticality Hubbard model
0 200 400 600 800 1000 12000
50
100
150
200
250
xNa = 0.7,sing. cryst., exp.xNa = 0.7,sing. cryst.,exp.xNa = 0.76,sing. cryst.,exp.xNa ∼ 0.6,poly cryst.,exp.xNa = 0.6,DMFTxNa = 0.7,DMFTxNa = 0.8,DMFT
T [K]
S[µ
V/K
]
Thermoelectrics (here NaxCoO2)
Physics of nanoscopic systems
decoherence, Kondo effect,random matrix theory in qdots
NanoDMFT for coupled quantum dots,macromolecules, clusters on surfaces ...
Topic 1 (PA): Thermoelectricity – Boltzmann equationFestkorpertheorie
Puzzling large thermopower in FeSb2
Modelling thermopower by semiconducting gap plus in-gap statesinclude finite bandwidth in Boltzmann equation
Prerequisite: good theory skills, C, FORTRAN or mathematica
Supervisor: Battiato, Tomczak
Topic 2 (PA): Ferromagentism in (110) heterostructuresFestkorpertheorie
0.40.20.0-0.2-0.4
kM (Å-1
)
0.1
00
.05
0.0
0
EB (
eV
)
(e
V)
j
[110]
t2
t1
t2
t1
×[001]
[110]
x
×
y
z
e SrTiO3(110) subbands
3.0
2.0
1.0
En
erg
y (e
V)
ГZ M(0,0,/a) (/2a,/2a,0)(0,0,0)
kZ
kM
dyz
, dzx
dxy
Analysis of tight binding model (from LDA) correlations by Hartree-FockPrerequisite: good theory skillsSupervisor: Zhong, Held
Topic 3 (PA): Spin-orbit couplingFestkorpertheorie
0.40.20.0-0.2-0.4
kM (Å-1
)
0.1
00
.05
0.0
0
EB (
eV
)
(e
V)
j
Analysis of tight binding model (from LDA)
modelling correlation effects by Hartree-Fock
H = Htightbinding + ζLS +∑
iασ,α′σ′
Uniασ〈niα′σ′〉 (1)
Prerequisite: good theory skills
Supervisor: Zhong, Held
Topic 4 (PA): Magnetism in graphene nanoflakesComputational Materials Science
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Dynamical mean field theory
Tight binding model correlations by Hartree-Fock
Prerequisite: good theory skills, FORTRAN, C or python
Supervisor: Valli, Held