StefanoSanvitoGroup/BERT-PSIE-TC
A dataset of Curie temperatures automatically extracted from scientific literature with the use of the BERT-PSIE pipeline
This project helps materials scientists and researchers efficiently gather specific material properties from vast amounts of scientific literature. It takes unstructured text from research papers and outputs structured datasets of Curie temperatures and band gaps. The primary user would be someone involved in materials discovery or property prediction who needs to quickly aggregate experimental data.
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Use this if you need to rapidly extract Curie temperatures or band gaps for materials from scientific articles to build or augment your own materials databases for research or screening.
Not ideal if you require 100% precision for every data point, as automated extraction methods can sometimes introduce discrepancies compared to manually curated datasets.
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15
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5
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 18, 2023
Commits (30d)
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