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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260309T145209Z
UID:https://www.mpsd.mpg.de/events/10218/2724
DTSTART:20170613T120000Z
DTEND:20170613T130000Z
CLASS:PUBLIC
CREATED:20170608T104342Z
DESCRIPTION: In my talk I will discuss this question: How can density funct
 ional and tensor network theory be combined in such a way that they benefi
 t from each other. In particular I will present our publication [1] in whi
 ch we developed a systematic procedure for the approximation of density fu
 nctionals in density functional theory that consists of two parts. In the 
 first part\, for the efficient approximation of a general density function
 al\, we introduced an efficient ansatz whose non-locality can be increased
  systematically. In the second part\, we presented a fitting strategy that
  is based on systematically increasing a reasonably chosen set of training
  densities. I will present our results from reference [1] for strongly cor
 related fermions on a one-dimensional lattice. In this context we focused 
 on the exchange-correlation energy and demonstrated how an efficient appro
 ximation can be found that includes and systematically improves beyond the
  local density approximation. Remarkably\, we could show this systematic i
 mprovement for target densities that are quite different from the training
  densities. [1] M. Lubasch\, J. I. Fuks\, H. Appel\, A. Rubio\, J. I. Cira
 c\, and M.-C. Banuls\, New Journal of Physics 18\, 083039 (2016)."\nVortra
 gende(r): Michael Lubasch
LAST-MODIFIED:20170608T104342Z
LOCATION:CFEL (Bldg. 99)\, Raum: Seminar Room IV\, O1.111
ORGANIZER;CN=Angel Rubio:mailto:
SUMMARY:MPSD Seminar:  Michael Lubasch - Density Functional and Tensor Netw
 ork Theory 
URL;VALUE=URI:https://www.mpsd.mpg.de/events/10218/2724
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