Automatic extraction of materials and properties from superconductors scientific literature

Automatic extraction of materials and properties from superconductors scientific literature

The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials science (Materials Informatics). In this paper, we discuss Grobid-superconductors, our solution for automatically extracting superconductor material names and res...

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Bibliographic Details
Main Authors: Luca Foppiano, Pedro Baptista Castro, Pedro Ortiz Suarez, Kensei Terashima, Yoshihiko Takano, Masashi Ishii
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
materials informatics
superconductors
machine learning
nlp
tdm
Online Access:http://dx.doi.org/10.1080/27660400.2022.2153633

Internet

http://dx.doi.org/10.1080/27660400.2022.2153633

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