Project Grant 2517826
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $1,250,000.00 to Professors Linda Broadbelt and Eugene Chen of Northwestern University and Colorado State University, respectively, to study data-driven design of recyclable plastics using artificial intelligence and machine learning. The key products and services to be delivered under this award include developing new AI/ML approaches and open-source software...
- This $422,153 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to develop new sustainable polymeric materials using artificial intelligence (AI). The project aims to design architecturally varied and deconstructable polymers that can be easily recycled without requiring costly separation from mixed waste streams. Specifically, the researchers will create new types of depolymerizable...
- This $637,558 Project Grant awarded by the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support research to develop new sustainable polymeric materials using artificial intelligence (AI). The project aims to create depolymerizable plastics that can be recycled without costly separation from mixed waste streams. The research will involve developing physics-informed AI models to design polymers with a range of properties, as well as synthesizing these...
- This $200,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports a collaborative research effort led by professors at the University of Maryland and Iowa State University. The project aims to leverage artificial intelligence, robotics, and multi-scale materials chemistry simulations to accelerate the discovery of high-performance, biodegradable polymer nanocomposites with tunable properties. The integrated research...
- This $1,800,000 award from the National Science Foundation's Mathematical and Physical Sciences Program (CFDA 47.049) supports a collaborative research project led by professors at the University of Maryland and Iowa State University. The project aims to leverage artificial intelligence, robotics, and machine learning to accelerate the discovery of high-performance and biodegradable polymer nanocomposites with tunable properties. The researchers will develop an integrated platform that...
- This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) provides $1,400,000 from September 1, 2025 to August 31, 2028 to researchers at the University of Minnesota, University of Florida, and Massachusetts Institute of Technology (MIT). The award supports the study of new polymer materials, specifically poly(glycolic acid) (PGA)-based barrier materials, that can be used to develop more sustainable food packaging alternatives to replace...
- This $510,000 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop "tempered dynamic covalent networks" - materials that can be processed at lower temperatures to access a wide range of properties. The University of Chicago, the award recipient, will explore this approach to create versatile, sustainable plastic materials that can be readily recycled. The interdisciplinary research...
- The National Science Foundation awarded Northwestern University a $455,075 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to develop recyclable thermoset polymers for high-performance composites. Over a three-year period ending May 2026, the university will synthesize model epoxy networks incorporating aromatic disulfide bonds at various points and use mechanical testing, Raman scattering, and thin film experiments to characterize the materials and...
- This $118,229 National Science Foundation (NSF) grant under the Mathematical and Physical Sciences (CFDA 47.049) program supports the development of novel, chemically recyclable polymer materials at the University of New Haven. The project aims to design low-strain cyclic olefin monomers that can be polymerized and then easily depolymerized back to their constituent monomers under mild conditions, addressing the energy-intensive nature of current polymer recycling methods. Through this 5-year...
- The National Science Foundation (NSF) awarded a $273,706 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Matmerize, Inc., a for-profit organization, to develop a physics-informed/encoded polymer informatics platform to accelerate the development of advanced polymers and formulations. The project aims to transform the way polymeric materials are developed by adopting advanced artificial intelligence techniques to dramatically expedite the...
This $750,000 Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program supports a collaborative research project between Northwestern University and Colorado State University to develop data-driven, AI/ML-enabled approaches for designing chemically recyclable polymers. The key products and services to be delivered under this award include: The award period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $750.0k | 7/30/25 |