College of Engineering, Design & Computing Events
LOI due 5 Dec | Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED)
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All Day
NSF
The goal of MFS-SPEED is to support fundamental research enabling the accelerated discovery and ultimate manufacturing of sustainable polymers using state-of-the-art data science, and to enhance development of a cross-disciplinary workforce skilled in this area. The research community is encouraged to address the discovery and elaboration of new sustainable polymers or sustainable pathways to existing polymers by the creation and use of a data-centric environment where research projects are:
- focused on new approaches to predicting structure and properties of polymers and advanced soft materials,
- with insights enabled by data analytics including Artificial Intelligence/Machine Learning;
- This includes more efficient, scalable preparation of monomers and polymers using existing or new synthetic routes
- and this call aims to train a technical workforce that leverages data analytics to create sustainable polymers and soft materials.