Walsh, D.
, Zou, W.
, Schneider, L.
, Mello, R.
, Deagen, M.
, Mysona, J.
, Lin, T.
, de Pablo, J.
, Jensen, K.
, Audus, D.
and Olsen, B.
(2023),
Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure, ACS Central Science, [online], https://doi.org/10.1021/acscentsci.3c00011, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935334
(Accessed April 23, 2024)
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Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure
Published
Author(s)
Dylan Walsh, Weizhong Zou, Ludwig Schneider, Reid Mello, Michael Deagen, Joshua Mysona, Tzyy-Shyang Lin, Juan de Pablo, Klavs Jensen, , Bradley Olsen
Abstract
Polymeric materials are integral components of nearly every aspect of modern life. However, developing cheminformatic solutions for polymers has been difficult since they are large stochastic molecules with hierarchical structures spanning multiple length scales. Here we present the design for a general material data model that underpins the Community Resource for Innovation in Polymer Technology (CRIPT) data ecosystem.Citation
ACS Central Science
Pub Type
Journals
Download Paper
Keywords
Data models, FAIR data, Chemical structure, Copolymers, Materials, Polymers, Separation science
Citation
Created February 20, 2023, Updated February 22, 2023