Solid-State Battery Database Mastersheet
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Abstract
Despite thousands of annual publications on battery devices, standard reporting practices are distinctly absent, resulting in a wide variation of reported data that is difficult to search and analyze. To address this, we constructed a database of research-level solid-state batteries with a preliminary ontological framework reflected in 167 columns and populated with 245 batteries resulting in over 40,000 data-points. This project’s significance is threefold: (1) Our variables include materials, components, fabrication, and cell testing, whose combination is essential to describe and properly assess a solid-state battery. (2) Our inclusion of “not applicable” and “not reported” values allow us to analyze reporting practices and gain insights on ”missing data” in battery publications. (3) We present a structure for battery data with well-defined variables, facilitating formatted reporting. Key applications include a streamlined visualization and search workflow employing numerical and categorical criteria, quantitative analysis of reporting practices, a training set for AI paper-data extraction, and connections with existing battery ontologies.
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The data in this database was extracted from published solid-state battery papers. For more information on the data extraction methods please contact fpetrac@umd.edu.
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http://creativecommons.org/publicdomain/zero/1.0/