Project Grant 2519437
- 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 $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 $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 (CFDA 47.049) program provides $273,291 to the University of California, Santa Barbara to develop computational tools that combine machine learning and scientific computing for the exploration and prediction of polymer systems. The goal is to accelerate the discovery of new materials and provide a framework for computationally costly problems across various scientific domains. The 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...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $135,207 Project Grant to the University of Maryland, College Park to establish a symbolic artificial intelligence (AI) framework for discovering physically interpretable constitutive laws of soft functional composites. This 1.5-year grant, awarded on January 1, 2025, with a completion date of May 31, 2026, supports fundamental research to enable automatic discovery of constitutive laws for soft functional...
- This National Science Foundation Project Grant of $436,084 supports research at Carnegie Mellon University from May 2022 through April 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The award will fund the development of novel methods to control interactions between polymer and nanomaterial constituents in polymer nanocomposites. Specifically, the grantee will synthesize brush particle model systems and characterize the structure evolution of liquid-crystal phase...
- 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...
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 combines robotic experimentation, explainable AI, and multiscale simulations to enable predictive design of biopolymer nanocomposites. The project will also create a public, open-access database and user-friendly interface to support broad engagement across scientific, industrial, and policy communities. Additionally, the effort will foster workforce development through K-12 internships, undergraduate mentorship, and curriculum integration. The award period runs from Sep 1, 2025 to Aug 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.8m | 7/30/25 |