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Found 4 papers, 4 papers with code
Mining experimental data from Materials Science literature with Large Language Models: an evaluation study
This study is dedicated to assessing the capabilities of large language models (LLMs) such as GPT-3. 5-Turbo, GPT-4, and GPT-4-Turbo in extracting structured information from scientific documents in materials science.
Semi-automatic staging area for high-quality structured data extraction from scientific literature
For manual operations, the interface (SuperCon2 interface) is developed to increase efficiency during manual correction by providing a smart interface and an enhanced PDF document viewer.
Automatic extraction of materials and properties from superconductors scientific literature
Using Grobid-superconductors, we built SuperCon2, a database of 40324 materials and properties records from 37700 papers.
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Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Normalised materials characteristics (such as critical temperature, pressure) extracted from scientific literature are a key resource for materials informatics (MI) [9].
