The Regents of the University of Minnesota received a $506,505 Project Grant award from the National Science Foundation Office of Advanced Cyberinfrastructure. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering.
Under the award, the University will develop open-source tools for analyzing block polymer phase...
The Regents of the University of Minnesota received a $900,000 Project Grant award from the National Science Foundation on May 1, 2021 to support research titled "Dynamics of Block Copolymer Micelles" through April 30, 2026.
Under the award, the University will conduct research to advance understanding of the dynamics of block copolymer micelles. Block copolymers are a class of synthetic polymers composed of different polymer chains linked together. In aqueous solutions, they can...
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...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $359,999 to researchers at the University of Minnesota and the University of North Carolina at Chapel Hill to develop catalytic methods for editing the molecular architecture of polymers such as polyesters and polyurethanes. The goal is to enable transformations between branched and linear polymer structures, which can alter the materials' thermal and...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $665,958 to the University of Minnesota to conduct fundamental research on the discovery and development of new sustainable polymers. The research, led by Professor Marc A. Hillmyer, aims to develop novel rigid plastics and flexible rubber polymers derived from bio-based polyesters that can achieve superior physical properties and be industrially composted at...
This $381,000 three-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Northwestern University to develop an accurate hierarchical modeling approach for understanding the structural and mechanical properties of polymer grafted nanoparticle materials. The research will employ molecular simulations, theory, and machine learning to explain how variability in nanoparticle and polymer graft size, known as...
This Project Grant from the National Science Foundation's Division of Materials Research, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $361,129 to Princeton University from January 2023 through December 2027. The funding will support the development of predictive tools to facilitate the understanding and design of stimuli-responsive polymers through multiscale molecular modeling and machine learning techniques. Specifically, the principal investigator will work...
The National Science Foundation Division of Chemistry awarded a $480,002 project grant to the Regents of the University of Minnesota for the project "DNA-TEMPLATED SUPRAMOLECULAR SYNTHESIS OF WIREFRAME POLYMERS" under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year project beginning August 1, 2021 will support the development of DNA-templated synthetic methods to create wireframe polymers with targeted shapes and properties. The Mathematical and Physical...
The National Science Foundation (NSF) awarded a $160,000 Project Grant through its Mathematical and Physical Sciences (CFDA 47.049) program to the Regents of the University of Minnesota to support research on the mathematical modeling of "moiré materials" - novel 2D materials formed by stacking 2D layers with a relative twist. The project aims to develop advanced mathematical methods for predicting the emergent strongly correlated electronic phases in these materials, which hold...
This $420,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research led by Dr. Aleksandr Zhukhovitskiy of the University of North Carolina at Chapel Hill and Dr. Ian Tonks of the University of Minnesota-Twin Cities. The research aims to develop catalytic methods to edit the molecular architectures of various plastics, such as polyesters and polyurethanes, by transitioning between branched and...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $244,960.00 to the Regents of the University of Minnesota to develop computational methods for discovering new block polymer materials. The project aims to overcome challenges in using self-consistent field theory to predict novel ordered structures that can form through block polymer self-assembly. The research will leverage generative artificial intelligence and machine learning techniques to propose and identify candidate block polymer formulations that can produce these new materials. In addition to advancing the theoretical understanding of block polymer self-assembly, the project will provide graduate, undergraduate, and high school students with training in polymer physics, materials science, and high-performance computing. The computational tools developed under this award will be made publicly available as open-source software to benefit the broader research community.