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Part B: Condensed Matter Physics

Doping dependence of charge order in electron-doped cuprate superconductors

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Pages 3361-3380 | Received 25 Jul 2017, Accepted 07 Sep 2017, Published online: 04 Oct 2017
 

Abstract

In the recent studies of the unconventional physics in cuprate superconductors, one of the central issues is the interplay between charge order and superconductivity. Here the mechanism of the charge-order formation in the electron-doped cuprate superconductors is investigated based on the t-J model. The experimentally observed momentum dependence of the electron quasiparticle scattering rate is qualitatively reproduced, where the scattering rate is highly anisotropic in momentum space, and is intriguingly related to the charge-order gap. Although the scattering strength appears to be weakest at the hot spots, the scattering in the antinodal region is stronger than that in the nodal region, which leads to the original electron Fermi surface is broken up into the Fermi pockets and their coexistence with the Fermi arcs located around the nodal region. In particular, this electron Fermi surface instability drives the charge-order correlation, with the charge-order wave vector that matches well with the wave vector connecting the hot spots, as the charge-order correlation in the hole-doped counterparts. However, in a striking contrast to the hole-doped case, the charge-order wave vector in the electron-doped side increases in magnitude with the electron doping. The theory also shows the existence of a quantitative link between the single-electron fermiology and the collective response of the electron density.

Acknowledgements

The authors would like to thank Dr. Deheng Gao, Dr. Yiqun Liu, Dr. Huaisong Zhao and Professor Yongjun Wang for helpful discussions.

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Key Research and Development Program of China [grant number 2016YFA0300304]; National Natural Science Foundation of China [grant number 11574032], [grant number 11734002].

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