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Y <sub>2</sub> Te <sub>3</sub> : A New n-Type Thermoelectric Material

Michael Y. Toriyama, Dean Cheikh, Sabah K. Bux, G. Jeffrey Snyder, Prashun Gorai

2022ACS Applied Materials & Interfaces14 citationsDOI

Abstract

Rare-earth chalcogenides Re3–xCh4 (Re = La, Pr, Nd, Ch = S, Se, and Te) have been extensively studied as high-temperature thermoelectric (TE) materials owing to their low lattice thermal conductivity (κL) and tunable electron carrier concentration via cation vacancies. In this work, we introduce Y2Te3, a rare-earth chalcogenide with a rocksalt-like vacancy-ordered structure, as a promising n-type TE material. We computationally evaluate the transport properties, optimized TE performance, and doping characteristics of Y2Te3. Combined with a low κL, multiple low-lying conduction band valleys yield a high n-type TE quality factor. We find that a maximum figure of merit zT > 1 can be achieved when Y2Te3 is optimally doped to an electron concentration of 1–2 × 1020 cm–3. We use defect calculations to show that Y2Te3 is n-type dopable under Y-rich growth conditions, which suppress the formation of acceptor-like cation vacancies. Furthermore, we propose that optimal n-type doping can be achieved with halogens (Cl, Br, and I), with I being the most effective dopant. Our computational results as well as experimental results reported elsewhere motivate further optimization of Y2Te3 as an n-type TE material.

Topics & Concepts

Materials scienceDopingThermoelectric effectDopantThermoelectric materialsChalcogenideVacancy defectFigure of meritType (biology)SemiconductorElectronAcceptorThermal conductivityCondensed matter physicsAnalytical Chemistry (journal)OptoelectronicsThermodynamicsChemistryComposite materialBiologyEcologyPhysicsChromatographyQuantum mechanicsAdvanced Thermoelectric Materials and DevicesChalcogenide Semiconductor Thin FilmsMachine Learning in Materials Science
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