Networks and interfaces as catalysts for polymer materials innovation
Name
PIIS2666386422004283.pdf
Description
Published version
Size
985.59 KB
Format
Adobe PDF
Checksum (MD5)
1220da262f076e76b0bd5b2ad43c316f
Author(s)
Deagen, Michael E
Walsh, Dylan J
Audus, Debra J
Kroenlein, Kenneth
de Pablo, Juan J
Aou, Kaoru
Chard, Kyle
Jensen, Klavs F
Olsen, Bradley D
Date Issued
November 16, 2022
Journal
Cell Reports Physical Science
Publisher
Elsevier BV
Citation
Deagen, Michael E, Walsh, Dylan J, Audus, Debra J, Kroenlein, Kenneth, de Pablo, Juan J et al. 2022. "Networks and interfaces as catalysts for polymer materials innovation." Cell Reports Physical Science, 3 (11).
Version
Final published version
Abstract
Autonomous experimental systems offer a compelling glimpse into a future where closed-loop, iterative cycles—performed by machines and guided by artificial intelligence (AI) and machine learning (ML)—play a foundational role in materials research and development. This perspective draws attention to the roles of networks and interfaces—of and between humans and machines—for the purpose of generating knowledge and accelerating innovation. Polymers, a class of materials with massive global impact, present a unique opportunity for the application of informatics and automation to pressing societal challenges. To develop these networks and interfaces in polymer science, the Community Resource for Innovation in Polymer Technology (CRIPT)—a polymer data ecosystem based on novel polymer data model, representation, search, and visualization technologies—is introduced. The ongoing co-design efforts engage stakeholders in industry, academia, and government to uncover rapidly actionable, high-impact opportunities to build networks, bridge interfaces, and catalyze innovation in polymer technology.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.xcrp.2022.101126
