Published September 2018 | Version v1
Journal article

Nontrivial thermoelectric behavior in cubic SnSe driven by spin-orbit coupling

  • 1. University of the Chinese Academy of Sciences, Beijing 100039 (China)
  • 2. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201 (China)

Description

Highlights: • By alloying with AgSbSe2, SnSe undergoes a phase transition from the orthorhombic structure to a cubic phase. • Cubic SnSe is a nontrivial band semiconductor driven by spin-orbit coupling. • In cubic SnSe, the two competing factors, Seebeck coefficient and electrical conductivity, are decoupled by SOC. This study reveals that such spin-orbit semiconductors are a new class of promising thermoelectric materials. Recently, tin selenide SnSe has attracted extensive attention for the reported excellent thermoelectric performance. By alloying with AgSbSe2, we observed that SnSe undergoes a phase transition from the orthorhombic structure to a cubic phase. The cubic SnSe exhibits some anomalous thermoelectric properties compared with common IV-VI cubic semiconductors, such as PbTe and SnTe. It is proven that cubic SnSe is not a trivial band semiconductor, whereas its band gap originates in the spin-orbit coupling effects. In this nontrivial semiconductor, the competing factors, Seebeck coefficient and electrical conductivity, can be simultaneously optimized. The peak ZT reaches 0.82 at 842 K in Sn0.4(AgSb)0.3Se. This study reveals that such spin-orbit semiconductors are a new class of promising thermoelectric materials, in which the thermoelectric performance strongly depends on the local spin-orbit coupling, besides the overall chemical bonding.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nanoen.2018.07.019

Additional details

Identifiers

DOI
10.1016/j.nanoen.2018.07.019;
PII
S2211285518305081;

Publishing Information

Journal Title
Nano Energy (Print)
Journal Volume
51
Journal Page Range
p. 649-655
ISSN
2211-2855

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.