SuperMat: construction of a linked annotated dataset from superconductors-related publications

SuperMat: construction of a linked annotated dataset from superconductors-related publications

A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) processes are still needed to efficiently access and exploit this accumulated knowledge, paving the way towards data-driven materials design. Herein, we present SuperM...

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Bibliographic Details
Main Authors: Luca Foppiano, Sae Dieb, Akira Suzuki, Pedro Baptista de Castro, Suguru Iwasaki, Azusa Uzuki, Miren Garbine Esparza Echevarria, Yan Meng, Kensei Terashima, Laurent Romary, Yoshihiko Takano, Masashi Ishii
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
materials informatics
machine learning
dataset
superconductors
text and data mining
Online Access:http://dx.doi.org/10.1080/27660400.2021.1918396

Internet

http://dx.doi.org/10.1080/27660400.2021.1918396

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