Semi-automatic staging area for high-quality structured data extraction from scientific literature-Reference-Cited by-同舟云学术

Semi-automatic staging area for high-quality structured data extraction from scientific literature

Published:2023-12-14 Issue:1 Volume:3 Page:
ISSN:2766-0400
Container-title:Science and Technology of Advanced Materials: Methods
language:en
Short-container-title:Science and Technology of Advanced Materials: Methods

Author:

Foppiano Luca¹²^ORCID,Mato Tomoya¹^ORCID,Terashima Kensei³^ORCID,Ortiz Suarez Pedro⁴^ORCID,Tou Taku³,Sakai Chikako³,Wang Wei-Sheng³^ORCID,Amagasa Toshiyuki²^ORCID,Takano Yoshihiko³^ORCID,Ishii Masashi¹

Affiliation:

1. Materials Modelling Group, Data-driven Materials Research Field, Centre for Basic Research on Materials, NIMS, Tsukuba, Japan

2. Knowledge and Data Engineering, Centre for Computational Sciences, University of Tsukuba, Tsukuba, Japan

3. Frontier Superconducting Materials Group, MANA, NIMS, Tsukuba, Japan

4. GmbH DFKI, Berlin, DE

Funder

Research and Development

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/27660400.2023.2286219

Reference22 articles.

1. Automatic extraction of materials and properties from superconductors scientific literature

2. Materials Discovery With Machine Learning and Knowledge Discovery

3. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

4. AFLOW: An automatic framework for high-throughput materials discovery

5. The NOMAD laboratory: from data sharing to artificial intelligence

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