Data for "Best Thermoelectric Efficiency of Ever-Explored Materials" by Ryu et al., using Starrydata2

Published: 16 May 2023| Version 2 | DOI: 10.17632/r9bhpv6vx9.2
, Masaya Kumagai,


Rawdata and post-processed datasets are provided for "Best Thermoelectric Efficiency of Ever-Explored Materials," which is published in an iScience article ( The dataset includes thermoelectric samples, related publication information, thermoelectric properties (TEPs) data with filter information, and the best thermoelectric materials and device efficiencies. Note that the material samples data were extracted from, with the rawdata version dated 2021-Nov-24th, and were then extensively investigated for material and device efficiencies. The materials' TEPs data have been filtered and cleaned. Using the TEPs in the cleaned dataset, the best efficiencies of material samples were calculated within one-dimensional thermoelectric leg models. In total, 100 million efficiencies were calculated for P-N leg pair devices across approximately 13 thousand ever-explored materials. Further details can be found in the related publication.


Steps to reproduce

The best thermoelectric efficiency is calculated and explored using the following procedure. The values in parentheses at the end of the following sentences are the corresponding identification codes for the analysis and data. First, a formatted thermoelectric property file (data010) is generated by extracting the raw data from Starrydata2. A sample metadata file (data030) is also generated; it contains thermoelectric data length, data reference, composition information, available temperature range, published date, etc. A data filter is used to test that each material sample’s dataset of thermoelectric properties is complete, valid, or errorless, and the result is recorded as sample lists (data040). The thermoelectric properties are interpolated (data070) for the ZT distribution analysis. Composition data are transformed into a composition vector, and the samples are classified into given material groups (data150). The thermoelectric material efficiency of the samples in the list is computed for available temperature ranges (data234). For high-efficiency samples, the correctness of the thermoelectric properties is confirmed by visual inspection and the corresponding samples’ material efficiency data are interpolated (data261). Using high-efficiency samples, P-N leg pair device configurations are generated (data300), and the device efficiencies are computed (data400). Finally, the best ZT, best material efficiency, and best device efficiency curves are obtained (data500). The best efficiencies are compared to the experimentally reported device efficiencies (data500). Among them, 9 representative best efficiency devices are analysed (data600). A multiple-stage P-N leg pair device with a very high efficiency of 23.9% is found (data700). For easy use and analysis, sampleid information is added on 2023-May-16.


Korea Electrotechnology Research Institute


Energy Efficiency, Thermoelectrics, Thermoelectric Materials, Device Modeling


National Research Foundation of Korea


Japan Science and Technology Agency


Korea Institute of Energy Technology Evaluation and Planning


Korea Electrotechnology Research Institute