Abstract
Some of the best thermoelectric (TE) materials to date are also topological insulators (TIs). While many
studies have investigated the effects of topologically-protected surface states on TE properties, the conditions
needed to realize such effects are quite different from typical operating conditions of TE devices
for, e.g., power generation and room-temperature Peltier cooling. As a result, it is still unclear what properties
of TIs, especially those related to the bulk band structure, are beneficial for TE performance, if any.
Here, we perform high-throughput transport calculations using density functional theory (DFT) to reveal
that, within the same structure type, TIs tend to outperform normal insulators as TEs when properly optimized.
The calculations also indicate that the TE performance is higher for TIs with strongly inverted
bands. To explain these observations, we develop models based on Boltzmann transport theory which
show that warping driven by band inversion, a key characteristic of TIs, is responsible for the high TE
performance of TIs. We find that warping benefits the TE performance because of reduced transport
mass and effectively higher valley degeneracy. Our results show that the band inversion strength is a
critical property of a TI dictating the TE performance, and we suggest potential strategies to tune the
inversion strength and enhance the TE performance in TIs, such as alloying and strain engineering. The
study marks TIs as serious candidates for TE applications owing to band inversion-driven warping.
Supplementary materials
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Supporting Information
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Content: Details of computational methods; Theoretical foundation of transport models
Figures: (S1) Comparison to experiments for Bi2Te3; (S2) Quality factor and Fermi surface complexity factor; (S3) zT within the parameter space of the warped band transport model; (S4) Transport properties, warped band transport model; (S5) Transport properties, multi-valleyed transport model; (S6) Electronic structure by tuning spin-orbit coupling strength; (S7) Electronic structure by applying hydrostatic strain
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GitHub Repository
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Data from high-throughput Boltzmann transport calculations
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