Magnetic Susceptibility of Quasi-two-dimensional Cuprate Antiferromagnets
Parallel magnetic susceptibility temperature dependence of the high-TC superconducting parent compound La CuO is calculated in both antiferromagnetic (AFM) and paramagnetic phase. By making use of the quantum Heisenberg three-dimensional AFM model including the in-plane spin anisotropy, the calculat...
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Published in | Journal of Research in Physics Vol. 37; no. 1; pp. 19 - 32 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Novi Sad
De Gruyter Open
01.01.2013
De Gruyter Poland |
Subjects | |
Online Access | Get full text |
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Summary: | Parallel magnetic susceptibility temperature dependence of the high-TC superconducting parent compound La
CuO
is calculated in both antiferromagnetic (AFM) and paramagnetic phase. By making use of the quantum Heisenberg
three-dimensional AFM model including the in-plane spin anisotropy, the calculation is performed within the framework of three different theories: Green’s function theory in random-phase approximation (RPA), linear spinwave (LSW) theory and mean-field (MF) theory. The results suggest that at low temperatures quantum spin fluctuations play an important role, while at the temperatures above the critical one short-range correlations have a great impact on the behavior of the system. This leads to the discrepancy between RPA and MF results, since the later neglects the above phenomena. Further, LSW theory expectedly agrees with RPA results only at low temperatures where the magnon interactions are negligible. Comparison to the theoretical and experimental results quoted in literature confirms that RPA method presents the most appropriate method among the applied ones, suggesting that this approach is satisfactory in the case of the parallel magnetic susceptibility, while in order to reproduce the transversal one, spin-orbit coupling must be included. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 2217-933X 1450-7404 2217-933X |
DOI: | 10.2478/jrp-2013-0002 |