Project Grant 2323728
- 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...
- 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 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $405,431 to The Regents of the University of California, doing business as University of California, Berkeley, to conduct collaborative research on developing polymers with adaptive molecular structures that can withstand extreme conditions. The key objectives are to: 1) pioneer the use of double-threaded polymers to fabricate slide-ring polymers for enhanced...
- 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...
- The National Science Foundation (NSF) Division of Materials Research awarded a $262,500 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) for the "DMREF/Collaborative Research: Active Learning-based Material Discovery for 3D Printed Solids with Locally-Tunable Electrical and Mechanical Properties" project. This multi-disciplinary effort aims to establish an active learning approach to rapidly...
- This $600,000 National Science Foundation project grant in the Mathematical and Physical Sciences program (CFDA 47.049) supports research at the Massachusetts Institute of Technology to develop new methods for analyzing and optimizing polymer network structures. Professors Jeremiah A. Johnson and Bradley D. Olsen of MIT's Departments of Chemistry and Chemical Engineering will work to invent chemical strategies, theories, and simulations to provide deeper understanding of topology in...
- This $336,240 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research at Northeastern University to investigate the role of topological defects in regulating strain-induced crystallization in end-linked polymer networks. The research aims to enhance the understanding of the microscale mechanisms and macroscale mechanical properties, including stress-strain behavior, fracture, and fatigue resistance, of these promising...
- 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 $493,588 project grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to advance the fundamental understanding of how polymer networks, found in materials like tires and contact lenses, break and fracture. The research will formulate and validate a new molecular-level model to explain the intrinsic fracture energy of these polymer networks, incorporating the role of surrounding material structure and how energy is dissipated during failure....
- 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...
The National Science Foundation (NSF) awarded a 4-year, $400,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Trustees of Boston University for their research project titled "COLLABORATIVE RESEARCH: DMREF: CLOSED-LOOP DESIGN OF POLYMERS WITH ADAPTIVE NETWORKS FOR EXTREME MECHANICS." The project aims to develop an integrated experimental and computational platform for accelerated discovery and design of novel polymers exhibiting unprecedented stretchability, resilience, and self-healing properties. Key innovations include pioneering the use of double-threaded "slide-ring" polymers and integrating dynamic covalent polymer networks with 3D printing to produce high-toughness, high-rigidity, and highly processable materials. This research supports the Materials Genome Initiative objectives by leveraging automation, simulations, rapid synthesis, machine learning, and additive manufacturing to enable faster advancement of high-performance polymer materials. The outcomes are expected to enable new applications in wearable sensors, soft actuators, and energy harvesting devices.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 9/15/23 |