Structural and thermoelectric properties of iodine doped Cu-based argyrodites

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Authors: Oleksandr Cherniushok, Taras Parashchuk, Remigiusz Osowski, Anil Bohra, J. Toboła, Krzysztof T. Wojciechowski
Cited by: 0

Abstract

Driven by their ultralow lattice thermal conductivity and the prospect of cost-effective, environmentally friendly design, argyrodites have emerged as highly promising candidates for thermoelectric energy conversion. While Ag-based argyrodites can exhibit both n- and p-type conductivity, Cu-based analogues are typically dominated by p-type charge carriers. Moreover, despite the crucial role of defect engineering in enhancing thermoelectric performance, there is still limited knowledge on effective doping strategies for these materials. In this work, we investigate aliovalent iodine substitution at the chalcogen sites in Cu-based argyrodites. Two doping scenarios were explored: a charge-balanced series Cu8-xSi(S3Se3)1-xIx and charge non-balanced series Cu8Si(S3Se3)1-xIx. In both cases, iodine substitution increases the lattice parameters and promotes the formation of Cu2Se-based precipitates. Rietveld refinement and theoretical calculations confirm that iodine preferentially occupies the Q3 (4a) anion site. In the charge non-balanced samples, doping inefficiencies result in the presence of both electron and hole carriers, leading to complex transport behavior. Conversely, in the charge-balanced samples, iodine substitution increases the hole concentration by creating Cu⁺ vacancies, which also modifies the Seebeck coefficient and enhances the power factor at elevated temperatures. As a result, iodine-doped Cu7.9SiS2.95Se2.95I0.1 achieves a high thermoelectric figure of merit (ZT ≈ 0.9 at 773 K), demonstrating strong potential for mid-temperature thermoelectric power generation.

Fields of Study & Subjects

Advanced Thermoelectric Materials and Devices Crystal Structures and Properties Thermal properties of materials

Publication details

Journal / source
Akademia Górniczo-Hutnicza w Krakowie
Publication date
13 March 2026
Language
EN
Document type
Dataset