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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, Debra Audus, 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.
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 October 3, 2025)