Published December 2021 | Version v1
Journal article

Nematic order driven by superconducting correlations

  • 1. Department of Physics, University of Toronto, Toronto, Ontario M5S1A7 (Canada)
  • 2. Materials Science Division, Argonne National Laboratory, Lemont, IL 60439 (United States)

Description

Highlights: • Superconducting correlations can drive nematic order via Cooper pair delocalization. • Nematogens can be droplets of nematic topological superconductors or spin-stripes. • We present a Monte Carlo study of the interplay of nematicity and superconductivity. • A resistor network calculation captures the resistive anisotropy in KTaO3 interfaces. The interplay of nematicity and superconductivity has been observed in a wide variety of quantum materials. To explore this interplay, we consider a two-dimensional (2D) array of nematogens, local droplets with Z3 nematicity, coupled to a network of Josephson junction wires. Using finite temperature classical Monte Carlo simulations, we elucidate the phase diagram of this model and show that the development of superconducting correlations and the directional delocalization of Cooper pairs can promote nematogen ordering, resulting in long-range nematic order. We obtain the transport properties of our model within an effective resistor network picture. We discuss these ideas in the context of the 2D electron gas at the (111) KTaO3 interface and the doped topological insulators NbxBi2Se3 and CuxBi2Se3. Our work makes contact with Phil Anderson's numerous contributions to broken symmetries driven by the saving of kinetic energy, including double exchange ferromagnetism and the interlayer tunneling theory of high Tc superconductivity.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aop.2021.168494

Additional details

Identifiers

DOI
10.1016/j.aop.2021.168494;
PII
S0003491621001007;

Publishing Information

Journal Title
Annals of Physics (New York)
Journal Volume
435
Journal Page Range
vp.
ISSN
0003-4916
CODEN
APNYA6

Optional Information

Copyright
Copyright (c) 2021 Elsevier Inc. All rights reserved.