Project Grant 2519577
- 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 $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: Using AI/ML coupled with experimental methods to design new polymers...
- 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 $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...
- 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 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 Project Grant award, with a total funding amount of $248,000.00, is provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports computational and theoretical research to model crystallization in semicrystalline polymer blends, such as recycled commodity plastics. The key objectives are to: 1) predict the free energy landscapes of crystallization for polymer blends, 2) reveal the crystallization...
- 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...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support the development of a new class of "peptide-based plastics" with customizable properties. The $173,383 award to the Research Foundation of the City University of New York (RFCUNY) aims to create degradable plastics from renewable biomolecules, allowing for the fabrication of plastics with a wide range of tunable structures and properties. The...
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 plastics derived from simple feedstocks and develop physics-informed AI models to design these plastics to meet a wide range of product specifications. The project, with a performance period from Sep 1, 2025 to Aug 31, 2028, will produce publicly accessible research outputs including code and tutorials to enable wider AI-guided polymer materials design. This effort will also train a new generation of scientists to work at the intersection of polymer materials design and AI model development.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $422.2k | 7/30/25 |