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...
Rutgers, The State University was awarded a $1,265,946 Project Grant from the National Science Foundation Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of October 1, 2021 through September 30, 2025. The grant funds collaborative research titled "Machine Learning and Robotics for the Data-Driven Design of Protein-Polymer Hybrid Materials." The research appears aimed at advancing the use of machine learning and robotics...
The Trustees of Princeton University was awarded a $463,485 Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems. The grant supports research titled "Designing Novel Tunable Colloids via Inverse Statistical Mechanics" from January 15, 2022 through December 31, 2024. Under this NSF Engineering grant (CFDA #47.041), Princeton University researchers will develop new methods to design colloidal particles with...
The Trustees of Princeton University received a $430,904 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The grant supports research titled "WASTE-FREE ROBOTIC CONSTRUCTION OF SPATIAL DISCRETE ELEMENT STRUCTURES" from January 1, 2022 to December 31, 2024. Under this award, Princeton University will develop waste-free robotic construction techniques for discrete element structures in space. The research aims to...
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 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 of $1,500,000 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to elucidate the design principles for de novo designed proteins as mechano-responsive junctions in protein-polymer networks. The key products and services to be delivered include: (1) Development of de novo designed proteins that can be readily transformed into junctions within polymer networks. (2) Investigation of the use of de novo...
The National Science Foundation awarded a $358,885 Project Grant to The Trustees of Princeton University under the Engineering federal grant program (CFDA 47.041) for research titled "COLLABORATIVE RESEARCH: ENGINEERING FRACTURE RESPONSE AND TRANSPORT BEHAVIOR IN ADDITIVELY MANUFACTURED, LAYERED CONCRETE MATERIALS." The three-year award beginning September 1, 2021 will support research at Princeton University to study fracture properties and material transport within additively...
This Project Grant award of $340,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports research into polymer nanocomposites. The research aims to provide fundamental understanding of the chemistry, physics, and engineering principles that can be leveraged to develop advanced functional materials, such as those with applications in energy storage and water purification. Key objectives include: 1) elucidating how brush charge density affects...
This National Science Foundation Project Grant award of $319,942 provides funding over three years from May 1, 2023 through April 30, 2026 under the Engineering (47.041) federal grant program. The award supports research at Princeton University to validate numerical simulations of viscoelastic fluid flows against experimental data. The Principal Investigator and their team will utilize extended Oldroyd-B constitutive equations to model dilute polymer solutions, incorporating microstructural...