This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research and education in the fields of computational materials science and soft matter engineering. The $337,337 award to Cornell University aims to predict how polyphilic molecules can assemble into solid-like and liquid-like domains, allowing the material to both absorb large strains and self-heal. The project will use molecular dynamics simulations to...
This Project Grant award of $421,781 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the University of Chicago in developing advanced polymer materials with unprecedented mechanical properties and self-healing capabilities. The research aims to create an integrated database of adaptive polymer networks that are highly stretchable, resilient, and self-healing through the use of novel double-threaded slide-ring polymers and dynamic...
This $300,001 Project Grant from the National Science Foundation's Division of Materials Research will fund collaborative research between Princeton University and other institutions to understand polymer adsorption mechanisms and optimize nanocomposite material properties. Over three years, the researchers will employ fluorescence experiments and molecular dynamics simulations to probe how irreversibly adsorbed polymer layers form at interfaces in films and nanocomposites. They aim to establish...
This National Science Foundation (NSF) Project Grant, funded under the Mathematical and Physical Sciences program (CFDA 47.049), aims to develop polymers with unprecedented mechanical properties and processibility for use in advanced applications like wearable sensors, soft actuators, and energy harvesting devices. The University of Texas at Dallas (UTD) is leading this collaborative $350,229 research effort, which uses a systematic, data-driven approach to create adaptive polymer networks...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will enable research on a new class of "active polymers" that can respond to local energy fluctuations. The $495,000 award to the University of Massachusetts (UMass) will support the development of experimental methods to produce and study the mobility of these active polymers, with a focus on how energy injection at the molecular level impacts their behavior...
This $103,242 National Science Foundation project grant supports research into the self-healing mechanics of nanocomposite hydrogels at the University of Wisconsin-Madison from October 1, 2022 to September 30, 2023. The grant was awarded by the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041). The project will integrate molecular dynamics simulations, analytical theories, and experimental validation to...
This National Science Foundation project grant of $399,449 awarded on August 15, 2022 will support research at Rice University to develop self-healing polymers for use in complex water environments through July 31, 2025. The research aligns with the NSF Engineering Directorate's CFDA 47.041 program to foster innovation in engineering research. Specifically, the grant will fund examination of how common water ions impact the self-healing process of polymers. Model polymers will be synthesized and...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to improve the modeling and prediction of long-term performance for polymer glasses, a class of non-equilibrium materials with applications in electronics, aerospace composites, and other areas. The $372,323 award, effective April 1, 2024 through March 31, 2027, is funding collaborative work between researchers at North Carolina State University (NC State) and the...
This $248,000 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports computational and theoretical research to model crystallization in semicrystalline polymer blends, such as recycled commodity plastics. The research aims to enhance the material properties of recycled plastics by understanding and predicting how different polymers crystallize near phase-separated interfaces in these blends. Key objectives include...
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 to...