scholarly journals Classifying surface probe images in strongly correlated electronic systems via machine learning

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
L. Burzawa ◽  
S. Liu ◽  
E. W. Carlson
2012 ◽  
Vol 26 (20) ◽  
pp. 1250130 ◽  
Author(s):  
L. MAROTTA ◽  
F. SIRINGO

The Gaussian Effective Potential (GEP) is shown to be a useful variational tool for the study of the magnetic properties of strongly correlated electronic systems. The GEP is derived for a single band Hubbard model on a two-dimensional bi-partite square lattice in the strong coupling regime. At half-filling the antiferromagnetic order parameter emerges as the minimum of the effective potential with an accuracy which improves over RPA calculations and is very close to that achieved by Monte Carlo simulations. Extensions to other magnetic systems are discussed.


1988 ◽  
Vol 02 (11n12) ◽  
pp. 1211-1216 ◽  
Author(s):  
G. BASKARAN ◽  
R. SHANKAR

In this brief report we review some of the basic concepts involved in the gauge theory approach to the Resonating Valence Bond State of strongly correlated electronic systems. Some general consequences of the local gauge symmetry on the nature of excitations are also discussed.


1999 ◽  
Vol 13 (05n06) ◽  
pp. 749-753
Author(s):  
O. P. SUSHKOV

Dyson equation which relates the single hole Green's functions for a given pseudospin and given spin is derived for t-J model. This equation is applied to explain the experimental spectra for angle resolved photoemission in insulating Copper Oxide.


2005 ◽  
Vol 31 (3) ◽  
pp. 308-312 ◽  
Author(s):  
L. A. Boyarskiı̆ ◽  
S. P. Gabuda ◽  
S. G. Kozlova

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