An enhanced battery materials database auto-generated using ChemDataExtractor and further classified using the BatteryBERT language model.

An enhanced battery materials database auto-generated using ChemDataExtractor and further classified using the BatteryBERT language model. Two battery material databases are included: (1) a new battery property database v2.0 that contains 210,416 data about battery materials and five of its key properties: capacity, voltage, conductivity, Coulombic efficiency and energy. This database supersedes v1.0 (Huang, S. & Cole, J. M. A database of battery materials autogenerated using ChemDataExtractor. figshare https://doi.org/10.6084/m9.figshare.11888115.v2 (2020)) owing to its: (i) enhancement of data from the last two years (2020 and 2021) as well as from papers belonging to Springer journals; (ii) filtering off of non-relevant data from non-battery papers that has been made possible via our implementation of a binary classification model. (2) A device-classified database that contains 300,622 anode, cathode or electrolyte materials that have been classified using our BatteryBERT language model. Both databases have been provided in JSON, SQL, and CSV format.