Numerical studies of photon-based spectroscopies on high- T c superconductors

A computational algorithm with efficient scaling to tens of thousands of CPUs has been applied to large scale exact diagonalization studies of small clusters. The goal is to simulate various photon-based spectra for effective single- and multi-orbital Hubbard Hamiltonians representative of the high-...

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Veröffentlicht in:Computer physics communications 2011, Vol.182 (1), p.106-108
Hauptverfasser: Chen, C.-C., Moritz, B., Jia, C.J., Johnston, S., Sorini, A.P., Lee, L.-Q., Ko, K., Devereaux, T.P.
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container_end_page 108
container_issue 1
container_start_page 106
container_title Computer physics communications
container_volume 182
creator Chen, C.-C.
Moritz, B.
Jia, C.J.
Johnston, S.
Sorini, A.P.
Lee, L.-Q.
Ko, K.
Devereaux, T.P.
description A computational algorithm with efficient scaling to tens of thousands of CPUs has been applied to large scale exact diagonalization studies of small clusters. The goal is to simulate various photon-based spectra for effective single- and multi-orbital Hubbard Hamiltonians representative of the high- T c cuprate superconductors. As an example of the utility of this method, we address the optical band gap and the spectral functions calculated from these models which strongly depend on cluster geometry and size.
doi_str_mv 10.1016/j.cpc.2010.08.017
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subjects Band spectra
C (programming language)
Clusters
COMPUTER SIMULATION
COPPER OXIDE
Exact diagonalization
Hubbard models
MATHEMATICAL ANALYSIS
Mathematical models
Optical conductivity
SPECTRA
Strong correlations
SUPERCONDUCTORS
Utilities
title Numerical studies of photon-based spectroscopies on high- T c superconductors
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