Polymer Nanocomposite Data: Curation, Frameworks, Access, and Potential for Discovery and Design.


Journal

ACS macro letters
ISSN: 2161-1653
Titre abrégé: ACS Macro Lett
Pays: United States
ID NLM: 101574672

Informations de publication

Date de publication:
18 Aug 2020
Historique:
entrez: 2 6 2022
pubmed: 18 8 2020
medline: 18 8 2020
Statut: ppublish

Résumé

With the advent of the materials genome initiative (MGI) in the United States and a similar focus on materials data around the world, a number of materials data resources and associated vocabularies, tools, and repositories have been developed. While the majority of systems focus on slices of computational data with an emphasis on metallic alloys, NanoMine is an open source platform with the goal of curating and storing widely varying experimental data on polymer nanocomposites (polymers doped with nanoparticles) and providing access to characterization and analysis tools with the long-term objective of promoting facile nanocomposite design. Data on over 2500 samples from the literature and individual laboratories has been curated to date into NanoMine, including 230 samples from the papers bound in this virtual issue. This virtual issue represents an experiment of the flexibility of the data repository to capture the unique experimental metadata requirements of many data sets at one time and to challenge the authors to participate in the curation of their research data associated with a given publication. In principle, NanoMine offers a FAIR platform in which data published in papers becomes directly

Identifiants

pubmed: 35653211
doi: 10.1021/acsmacrolett.0c00264
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1086-1094

Auteurs

L Catherine Brinson (LC)

Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States.

Michael Deagen (M)

Department of Mechanical Engineering, University of Vermont, Burlington, Vermont 05405, United States.

Wei Chen (W)

Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States.

James McCusker (J)

Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.

Deborah L McGuinness (DL)

Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.

Linda S Schadler (LS)

Department of Mechanical Engineering, University of Vermont, Burlington, Vermont 05405, United States.

Marc Palmeri (M)

Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States.

Umar Ghumman (U)

Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States.

Anqi Lin (A)

Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States.

Bingyin Hu (B)

Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States.

Classifications MeSH