# Automatic Extraction of Materials and Properties from Superconductors Scientific Literature 

https://mdr.nims.go.jp/datasets/e269bb03-6a2a-4b29-b368-ce253c961337

## File

- [Automatic_extraction_of_materials_and_properties_from_superconductors_scientific_literature-v1.pdf](https://mdr.nims.go.jp/filesets/9d16673e-5ee2-4732-a0ae-344b28c4209b/download) ([Detail](https://mdr.nims.go.jp/filesets/9d16673e-5ee2-4732-a0ae-344b28c4209b.md))

## Id

e269bb03-6a2a-4b29-b368-ce253c961337

## Local identifier

identifier: mdr-schema-yaml/h415pd80f

## Visibility

open_to_public

## State

published

## Created at

2022-10-15T16:44:41.876534Z

## Updated at

2022-10-15T16:44:51.092054Z

## Published at

2022-11-10T06:27:32.926044Z

## Doi

https://doi.org/10.48505/nims.3734

## First published url

https://hal.inria.fr/hal-03776658

## Date published

2022-09-15

## Recorded date published



## Resource type

journal_article

## Manuscript type

na

## Collection



## Title

- title: 'Automatic Extraction of Materials and Properties from Superconductors Scientific
    Literature '
  title_type: original

## Description

- description: '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 characterized 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. '
  description_type: abstract
  lang: und

## Creator

- name: Foppiano Luca
  role: author
  orcid: https://orcid.org/0000-0002-6114-6164
  organization: NIMS
  department: MaDIS
- name: Baptista de Castro, Pedro
  role: author
  orcid: https://orcid.org/0000-0001-8673-2840
  organization: NIMS
  department: MANA
- name: Ortiz Suarez, Pedro
  role: author
  orcid: https://orcid.org/0000-0003-0343-8852
  organization: University of Mannheim
  department: Data and Web Science Group
- name: Terashima, Kensei
  role: author
  orcid: https://orcid.org/0000-0003-0375-3043
  organization: NIMS
  department: MANA
- name: Takano, Yoshihiko
  role: author
  orcid: https://orcid.org/0000-0002-1541-6928
  organization: NIMS
  department: MANA
- name: Ishii, Masashi
  role: author
  orcid: https://orcid.org/0000-0002-7721-9735
  organization: NIMS
  department: MaDIS

## Contact agent



## Publisher



## Managing organization

organization: 0 ~ NIMS

## Keyword

- subject: tdm
  schema: not_defined
- subject: machine learning
  schema: not_defined
- subject: materials science
  schema: not_defined
- subject: superconductors
  schema: not_defined
- subject: database
  schema: not_defined

## Rights

- description: In Copyright
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal



## Conference



## Related item

- title: SuperCon 2 dataset
  identifier: https://mdr.nims.go.jp/concern/datasets/4q77fv540
  identifier_type: URI
  relation_type: documents
  related_item_type: dataset

## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 9d16673e-5ee2-4732-a0ae-344b28c4209b
  filename: Automatic_extraction_of_materials_and_properties_from_superconductors_scientific_literature-v1.pdf
  content_type: application/pdf
  size: 1279150
  md5: de810c42230c1243c20e8613cfd885b5

## Thumbnail

fileset_id: 9d16673e-5ee2-4732-a0ae-344b28c4209b
filename: Automatic_extraction_of_materials_and_properties_from_superconductors_scientific_literature-v1.pdf