Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics

Active
Yes
Status
Posted
Published Date
April 29th, 2024
Close Date
January 16th, 2025
Total Funding
$9,500,000.00
Expected No. Awards
6
Opportunity No.
24-567

Agency

National Science Foundation (NSF)

Eligible Applicants

Others

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Summary

The National Science Foundation (NSF) has posted a grant opportunity titled "Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics." This grant aims to support fundamental research in the discovery and manufacturing of sustainable polymers using data science. The goal is to enhance the development of a cross-disciplinary workforce skilled in this area. The research community is encouraged to focus on predicting the structure and properties of polymers and advanced soft materials using data analytics, including Artificial Intelligence/Machine Learning. The grant will support collaborative team research with awards of up to $2 million per award for a three-year grant period. The program seeks to transcend the traditional boundaries of individual disciplines to achieve its goals. For more information, visit the NSF Publication 24-567 website.

Description

The Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics program (MFS-SPEED) is a cross-directorate funding call in response to The National Defense Authorization Act (NDAA) for Fiscal Year (FY) 2021 and the 2022 CHIPS and Science Act. It is supported by the NSF Directorates for Mathematical and Physical Sciences (MPS) and Technology, Innovation, and Partnerships (TIP), and five industry partners: Procter & Gamble, PepsiCo, BASF, Dow, and IBM. 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. In particular, through this solicitation 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: (1) focused on new approaches to predicting structure and properties of polymers and advanced soft materials, (2) with insights enabled by data analytics including Artificial Intelligence/Machine Learning; (3) This includes more efficient, scalable preparation of monomers and polymers using existing or new synthetic routes (4) and this call aims to train a technical workforce that leverages data analytics to create sustainable polymers and soft materials. Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED,) research grants – Awards will be supported in FY24/25 up to $2M per award for up to a three-year grant period, commensurate with the scope and team size. This program seeks to fund collaborative team research that transcends the traditional boundaries of individual disciplines to achieve the program goals.

Contact Information

Opportunity Lifecycle

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Type
Grant

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