An enhanced battery materials database auto-generated using ChemDataExtractor and further classified using the BatteryBERT language model.
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https://figshare.com/articles/dataset/An_enhanced_battery_materials_database_auto-generated_using_ChemDataExtractor_and_further_classified_using_the_BatteryBERT_language_model_/18154715
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资源简介：
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.
创建时间：
2022-05-12
