Project Grant 2324191
- The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia TECH Research Corporation, also known as the Office of Sponsored Programs, for the period of October 1, 2023 to September 30, 2027. The grant aims to develop a framework to expand polymer physics concepts and enable the predictable and controlled self-assembly of multi-component plastic semiconducting inks that can lead to targeted device...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) supports the development of a multiscale simulation tool that uses machine learning to predict the deformation behavior of semiconductors under light exposure. The $316,455 award to North Carolina State University will establish an electronic-to-mesoscale modeling framework to advance the understanding of "photoplasticity" - the phenomenon where light can cause materials to harden...
- This National Science Foundation (NSF) Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) in the amount of $499,892 awarded to the Regents of the University of Michigan aims to develop computational tools to predict the structure and properties of molecular interfaces in organic electronic and photonic devices. The research will integrate first principles quantum mechanical simulations, predictive machine learning algorithms, and experiments to enable a new paradigm...
- This $1.2 million Project Grant from the National Science Foundation Division of Materials Research will fund research into directing the self-assembly of liquid crystalline block co-oligomers using combined optical and magnetic fields. The goal is to develop an understanding of how the properties of these materials relate to their structure and to create desired structures that achieve targeted properties. The work will involve fundamental studies of optically-driven structural transitions in...
- This Project Grant award, with a total funding amount of $248,000.00, is provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports computational and theoretical research to model crystallization in semicrystalline polymer blends, such as recycled commodity plastics. The key objectives are to: 1) predict the free energy landscapes of crystallization for polymer blends, 2) reveal the crystallization...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $1,800,000 in funding to professors Chen, Dutta, Li, and Curtzwiler of the University of Maryland and Iowa State University. The project aims to leverage artificial intelligence to accelerate the discovery of high-performance and biodegradable polymer nanocomposites with tunable properties such as mechanical strength, optical clarity, and moisture absorption....
- 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 federal Project Grant award, valued at $100,689.00 and awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), supports research at North Carolina State University (NC State) to develop a scientific foundation and interdisciplinary educational platform for harnessing the self-assembly of renewable nanoparticles on solid surfaces. The goal is to enable the controlled design of advanced sustainable materials and bio-inspired...
- The National Science Foundation (NSF) awarded a $440,000 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to The Trustees of Princeton University's Office of Research and Project Administration. The award, titled "COLLABORATIVE RESEARCH: DMREF: ACCELERATING THE COMMERCIAL READINESS OF ORGANIC SEMICONDUCTOR SYSTEMS (ACROSS)", aims to advance the commercial readiness of organic semiconductor materials and devices. Key objectives include expanding data...
- 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 National Science Foundation (NSF) project grant under the Mathematical and Physical Sciences program (CFDA 47.049) will establish a framework to advance the predictable and controlled self-assembly of multicomponent plastic semiconducting materials. The $1,000,000 award to North Carolina State University aims to expand polymer physics concepts and develop new descriptors to better understand and categorize the complex molecular structures and assembly processes of these advanced electronic materials. The project will combine academic research on modeling self-assembly, polymer physics, and molecular packing with contributions from national laboratory partners in solution scattering and theory/modeling. The goal is to accelerate the development of plastic electronic materials and technologies like semi-transparent solar cells, smart heat management systems, and novel healthcare devices. Machine learning and artificial intelligence analytics will be leveraged to enhance experimental efficiency and knowledge generation. This interdisciplinary effort is expected to have broad implications for macromolecular science and technology, while also training a skilled workforce in experimental, theoretical, and computational methods.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 9/15/23 |