Solid State Battery Database Instruction Manual

Abstract

Despite thousands of annual publications on battery devices, standard reporting practices are distinctly absent, resulting in a patchwork of reported data that is difficult to analyze. To address this, we constructed a database of research-level solid-state batteries with an ontology-informed data 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 enable analysis of reporting practices and insights on ”missing data” in battery publications. (3) We present a structure for battery data with well-defined variables, facilitating formatted reporting. Key applications discussed include advanced search workflow employing numerical and categorical criteria for experiment design, streamlined visualization for various actors and utilizations, and a training set for AI paper-data extraction.