Highly efficient (In2Te3)x(GeTe)3−3x thermoelectric materials: a substitute for TAGS

Literature Information

Publication Date 2014-06-04
DOI 10.1039/C4CP01294A
Impact Factor 3.676
Authors

Hui Sun, Xu Lu, Hang Chi, Donald T. Morelli, Ctirad Uher


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Abstract

GeTe is a versatile base compound to produce highly efficient p-type thermoelectric materials such as the TAGS materials (AgSbTe2)1−x(GeTe)x and GeTe–PbTe nanocomposites. The pure GeTe composition shows a very high power factor, ∼42 μW cm−1 K−2, between 673 K and 823 K, which is among the highest power factors that have ever been reported in this temperature range. However, its relatively high thermal conductivity limits the dimensionless figure of merit ZT to values of only unity. In this paper, we present an efficient approach to reduce the thermal conductivity by preparing (In2Te3)x(GeTe)3−3x solid solutions. In spite of a slight degradation of the electronic properties, the drastic reduction of the thermal conductivity due to a synergistic combination of reduced electronic thermal conductivity, strong alloy scattering, and vacancy phonon scattering leads to ZT values as high as 1.35 at 823 K for the x = 0.05 sample. Our results show that (In2Te3)x(GeTe)3−3x is a prospective substitute for TAGS as a p-leg element for high-temperature power generation.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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