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Entropy 2018, 20(5), 366; https://doi.org/10.3390/e20050366

Thermoelectric Efficiency of a Topological Nano-Junction

1,†
and
1,2,†,*
1
Physics Institute, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago 7820436, Chile
2
Research Center for Nanotechnology and Advanced Materials CIEN-UC, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago 7820436, Chile
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 24 March 2018 / Revised: 10 May 2018 / Accepted: 11 May 2018 / Published: 14 May 2018
(This article belongs to the Special Issue Mesoscopic Thermodynamics and Dynamics)
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Abstract

We studied the non-equilibrium current, transport coefficients and thermoelectric performance of a nano-junction, composed by a quantum dot connected to a normal superconductor and a topological superconductor leads, respectively. We considered a one-dimensional topological superconductor, which hosts two Majorana fermion states at its edges. Our results show that the electric and thermal currents across the junction are highly mediated by multiple Andreev reflections between the quantum dot and the leads, thus leading to a strong nonlinear dependence of the current on the applied bias voltage. Remarkably, we find that our system reaches a sharp maximum of its thermoelectric efficiency at a finite bias, when an external magnetic field is imposed upon the junction. We propose that this feature can be used for accurate temperature sensing at the nanoscale. View Full-Text
Keywords: Keldysh formalism; topological superconductors; thermoelectricity; nano-junction Keldysh formalism; topological superconductors; thermoelectricity; nano-junction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Álamo, M.; Muñoz, E. Thermoelectric Efficiency of a Topological Nano-Junction. Entropy 2018, 20, 366.

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