Automated Author Profile

FOPPIANO, Luca

National Institute for Materials Science
0000-0002-6114-6164

Current S-Index

6.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.7

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

80.8%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Supercon 2 Dataset

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 respective properties from text. Built as a Grobid module, it combines machine learning and heuristic approaches in a multi-step architecture that supports input data as raw text or PDF documents. Using Grobid-superconductors, we built SuperCon2, a database of 40324 materials and properties records from 37700 papers. The material (or sample) information is represented by name, chemical formula, and material class, and is characterised by shape, doping, substitution variables for components, and substrate as adjoined information. The properties include the Tc superconducting critical temperature and, when available, applied pressure with the Tc measurement method.

Authors

  • Foppiano, Luca
0 Citations0 Mentions85% FAIR2.1 Dataset Index
10.48505/nims.3735January 2022

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

No description available

Authors

  • FOPPIANO, Luca ;
  • SUZUKI, Akira ;
  • DIEB M., Thear ;
  • ISHII, Masashi ;
  • TANIFUJI, Mikiko
0 Citations0 Mentions81% FAIR2.0 Dataset Index
10.34968/nims.1220January 2019

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

No description available

Authors

  • DIEB M., Thear ;
  • TANIFUJI, Mikiko ;
  • FOPPIANO, Luca ;
  • ISHII, Masashi ;
  • SUZUKI, Akira
0 Citations0 Mentions81% FAIR2.0 Dataset Index
10.34968/nims.1360January 2019

Automatic Identification and Normalisation of Physical Measurements in Scientific Literature

No description available

Authors

  • ISHII, Masashi ;
  • FOPPIANO, Luca ;
  • ROMARY, Laurent ;
  • TANIFUJI, Mikiko
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.34968/nims.1361January 2019