Automatic extraction of materials and properties from superconductors scientific literature

Author:

Foppiano Luca1ORCID,Castro Pedro Baptista2ORCID,Ortiz Suarez Pedro3ORCID,Terashima Kensei2ORCID,Takano Yoshihiko2ORCID,Ishii Masashi1ORCID

Affiliation:

1. Material Database Group, MaDIS, NIMS, Tsukuba, Japan

2. Nano Frontier Superconducting Materials Group, MANA, NIMS, Tsukuba, Japan

3. Data and Web Science Group, University of Mannheim, Mannheim, Germany

Publisher

Informa UK Limited

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Semi-automatic staging area for high-quality structured data extraction from scientific literature;Science and Technology of Advanced Materials: Methods;2023-12-14

2. Discovery of Novel Superconducting Materials with Deep Learning;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

3. Structuring superconductor data with ontology: reproducing historical datasets as knowledge bases;Science and Technology of Advanced Materials: Methods;2023-06-21

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