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SUMMARY:Embedding with auxiliary particles for strongly correlated materia
 ls - Carlos Mejuto-Zaera\, International School for Advanced Studies\, SIS
 SA
DTSTART:20231127T143000Z
DTEND:20231127T150000Z
UID:TALK208687@talks.cam.ac.uk
CONTACT:Dr Sun-Woo Kim
DESCRIPTION:Strong correlation in solids and molecules gives rise to a wid
 e palette of states with highly tuneable electronic properties\, ranging f
 rom Mott insulators and unconventional superconductors all the way to effi
 cient and selective catalytic centres. Such systems share a common underly
 ing motif: their unique phases emerge from the competition between differe
 nt energy scales. Describing such competition can be achieved within an em
 bedding framework\, which entails identifying a small fragment of the syst
 em\, modelled explicitly\, while all the rest is substituted by some auxil
 iary\, often frequency-dependent potential. Still\, most embedding approac
 hes suffer either from a limited access to observables or high computation
 al cost. In this talk\, I will discuss the type of information that an emb
 edding analysis can provide for complex lattice systems. Moreover\, I will
  present a powerful embedding framework recently introduced\, which enhanc
 es the Gutzwiller Ansatz with auxiliary states. Dynamical correlators with
 in this method are described in terms of an effective non-interacting\, qu
 asiparticle Hamiltonian\, subject to a self-consistency condition formulat
 ed in terms of the one-particle reduced density matrix. Despite this compa
 ratively simple\, frequency-independent construction\, I will show that th
 is approach can generate qualitatively correct expectation values and spec
 tral functions in multi-orbital models. This technique alleviates the flex
 ibility vs cost trade-off\, and is hence attractive for future application
 s in correlated solids and molecules\, particularly when the coupling betw
 een fragment and environment plays a decisive role.
LOCATION:Zoom link: https://zoom.us/j/92447982065?pwd=RkhaYkM5VTZPZ3pYSHpt
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