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Data-Driven Review of Thermoelectric Materials: Performance and Resource Considerations

Journal

CHEMISTRY OF MATERIALS
Volume 25, Issue 15, Pages 2911-2920

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/cm400893e

Keywords

thermoelectrics; datamining; Herfindahl-Hirschman Index; elemental abundance

Funding

  1. National Science Foundation through NSF-DMR [1121053]
  2. Natural Sciences and Engineering Council of Canada
  3. U.S. Department of State for an International Fulbright Science & Technology Award
  4. Office of Naval Research [N000141110894]
  5. Harvard University Center for the Environment

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In this review, we describe the creation of a large database of thermoelectric materials prepared by abstracting information from over 100 publications. The database has over 18 000 data points from multiple classes of compounds, whose relevant properties have been measured at several temperatures. Appropriate visualization of the data immediately allows certain insights to be gained with regard to the property space of plausible thermoelectric materials. Of particular note is that any candidate material needs to display an electrical resistivity value that is close to 1 m Omega cm at 300 K, that is, samples should be significantly more conductive than the Mott minimum metallic conductivity. The Herfindahl-Hirschman index, a commonly accepted measure of market concentration, has been calculated from geological data (known elemental reserves) and geopolitical data (elemental production) for much of the periodic table. The visualization strategy employed here allows rapid sorting of thermoelectric compositions with respect to important issues of elemental scarcity and supply risk.

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