HIGHLIGHTS
- who: Enhancement and colleagues from the Shu Huang, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge , HE, UK. have published the research: BatteryBERT: A Pretrained Language Model for Battery Database Enhancement, in the Journal: (JOURNAL) of January/12,/2022
- what: The authors propose that BERT models are likely to improve the accuracy of battery data extraction and extend the functionalities of text mining in the area of battery research. As shown in Figure 2a, the most common words in the word cloud picture of the battery corpus, such as electrode, energy, and batteries, demonstrate . . .
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