Project Grant 2517827
- 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 $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 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 of $100,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to advance the mechanistic understanding of catalytic plastic waste upcycling via computational modeling. The primary goal is to uncover the molecular mechanisms underlying the chemical recycling of polyethylene, the world's most common plastic, through a process called hydrogenolysis. This research seeks to optimize the efficiency and selectivity...
- 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's Mathematical and Physical Sciences program (CFDA 47.049) provides $560,000 to Colorado State University (CSU) to investigate the synthesis and materials properties of recyclable cross-linked plastics (thermosets). The research, led by Dr. Garret Miyake, aims to develop new catalysts based on earth-abundant metals for acceptorless dehydrogenative polymerization (ADP) to create polyester thermosets that can be self-healable,...
- 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 $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...
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 to effectively design and realize next-generation reusable polymers. The project will also train multiple graduate students and postdoctoral researchers in the AI/ML approach, and provide research and educational opportunities for undergraduate and K-12 students. The award period is from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.3m | 7/30/25 |