Realistic modeling of strongly correlated electron systems: An introduction to the LDA+DMFT approach

Physics – Condensed Matter – Strongly Correlated Electrons

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages, 3 figures, SCES-Y2K Conference Proceedings

Scientific paper

10.1142/S0217979201006495

The LDA+DMFT approach merges conventional band structure theory in the local density approximation (LDA) with a state-of-the-art many-body technique, the dynamical mean-field theory (DMFT). This new computational scheme has recently become a powerful tool for ab initio investigations of real materials with strong electronic correlations. In this paper an introduction to the basic ideas and the set-up of the LDA+DMFT approach is given. Results for the photoemission spectra of the transition metal oxide La_{1-x}Sr_xTiO_3, obtained by solving the DMFT-equations by quantum Monte-Carlo (QMC) simulations, are presented and are found to be in very good agreement with experiment. The numerically exact DMFT(QMC) solution is compared with results obtained by two approximative solutions, i.e., the iterative perturbation theory and the non-crossing approximation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Realistic modeling of strongly correlated electron systems: An introduction to the LDA+DMFT approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Realistic modeling of strongly correlated electron systems: An introduction to the LDA+DMFT approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Realistic modeling of strongly correlated electron systems: An introduction to the LDA+DMFT approach will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-105382

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.