Discovery of high-performance thermoelectric copper chalcogenide using modified diffusion-couple high-throughput synthesis and automated histogram analysis technique

Tingting Deng, Tong Xing, Madison K. Brod, Ye Sheng, Pengfei Qiu*, Igor Veremchuk, Qingfeng Song, Tian Ran Wei, Jiong Yang, G. Jeffrey Snyder, Yuri Grin, Lidong Chen, Xun Shi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Discovery of novel high-performance materials with earth-abundant and environmentally friendly elements is a key task for civil applications based on advanced thermoelectric technology. Advancements in this area are greatly limited by the traditional trial-and-error method, which is both time-consuming and expensive. The materials genome initiative can provide a powerful strategy to screen for potential novel materials using high-throughput calculations, materials characterization, and synthesis. In this study, we developed a modified diffusion-couple high-throughput synthesis method and an automated histogram analysis technique to quickly screen high-performance copper chalcogenide thermoelectric materials, which has been well demonstrated in the ternary Cu-Sn-S compounds. A new copper chalcogenide with the composition of Cu7Sn3S10 was discovered. Studies on crystal structure, band gap, and electrical and thermal transport properties were performed to show that it is a promising thermoelectric material with ultralow lattice thermal conductivity, moderate band gap, and decent electrical conductivity. Via Cl doping, the thermoelectric dimensionless figure of merit zT reaches 0.8 at 750 K, being among the highest values reported in Cu-Sn-S ternary materials. The modified diffusion-couple high-throughput synthesis method and automated histogram analysis technique developed in this study also shed light on the development of other advanced thermoelectric and functional materials.

Original languageEnglish (US)
Pages (from-to)3041-3053
Number of pages13
JournalEnergy and Environmental Science
Volume13
Issue number9
DOIs
StatePublished - Sep 2020

Funding

This work is supported by the National Key Research and Development Program of China (2018YFB0703600 and 2017YFB0701600), the National Natural Science Foundation of China (51625205 and 91963208) and the CAS-DOE Program of Chinese Academy of Sciences (121631KYSB20180060). P. Q. thanks for the support by the Youth Innovation Promotion Association of CAS under Grant No. 2016232 and Shanghai Rising-Star Program (19QA1410200). GJS and MB thank the NSF (USA) DMREF award# 1729487.

ASJC Scopus subject areas

  • Environmental Chemistry
  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Pollution

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