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Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED) is sponsored by NSF Directorate for Mathematical and Physical Sciences (MPS) and Technology, Innovation, and Partnerships (TIP) in partnership with BASF, Dow, IBM, PepsiCo Inc., and Procter & Gamble Co.. This program supports fundamental research enabling the accelerated discovery and ultimate manufacturing of sustainable polymers using state-of-the-art data science.
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Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED) | NSF - U.S. National Science Foundation Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED) Archived funding opportunity This document has been archived.
Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements . All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects.
Supports cross-disciplinary, collaborative research focused on the discovery and ultimate manufacturing of new sustainable polymers or sustainable pathways to existing polymers using state-of-the-art data science.
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.
Updates and announcements NSF and industry partners fund new research to use emerging data analytics tools for more efficient polymer manufacturing Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Mathematical and Physical Sciences (MPS) Division of Chemistry (MPS/CHE) Directorate for Technology, Innovation and Partnerships (TIP) Division of Innovation and Technology Ecosystems (TIP/ITE)
According to the current listing, eligibility includes: Principal Investigators (PIs) affiliated with any U. S. or international university or comparable research institution, as well as researchers employed by startups or small businesses. Confirm the full requirements in the official notice before applying.
The current listing shows up to $2,000,000 per award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED) are due September 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (MFS-SPEED) is funded by NSF Directorate for Mathematical and Physical Sciences (MPS) and Technology, Innovation, and Partnerships (TIP) in partnership with BASF, Dow, IBM, PepsiCo Inc., and Procter & Gamble Co.. Verify program details on the funder's official page before applying.
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