Project Grant 2519576
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $638K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
University City, MO 63130, USA
Similar Awards
- 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 $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...
- 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...
- The National Science Foundation (NSF) awarded a $420,553 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Washington University in St. Louis. This collaborative research project aims to develop novel polymer materials with unprecedented mechanical properties and self-healing capabilities through an integrated experimental and computational approach. The key products and services to be delivered include: Pioneering the use of double-threaded slide-ring...
- 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 $210,335 NSF Mathematical and Physical Sciences (CFDA 47.049) Project Grant award to Drexel University supports the development of a new computational method to accelerate the design of new polymeric materials. The project aims to create a simulation technique that can simultaneously resolve both monomer-level chemistry and mesoscopic length scales within polymeric materials. This has the potential to significantly speed up the development of new polymers for diverse applications like...
- 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...