Project Grant 2324190

Award Date 10/1/23
Completion Date 9/30/27
Dollars Obligated $1M
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30332, USA
Similar Awards
The Georgia Tech Research Corporation was awarded a $500,000 Project Grant from the National Science Foundation Division of Chemistry. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these scientific fields and strengthen the national scientific enterprise. The three-year award, running from July 2021 through June 2024, will support research into side-chain driven assembly of polymer semiconductors. The grantee will leverage...
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...
This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) supports research on the assembly and organization of novel branched ionic polymers. The $640,000 award, effective September 1, 2024 through August 31, 2028, funds Georgia Tech Research Corporation's efforts to study the formation of chiral helical nanostructures and stacked organic-inorganic heterostructures using these materials. Key objectives include leveraging ionic...
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...
The National Science Foundation (NSF) awarded Rensselaer Polytechnic Institute (RPI) a $461,594 Project Grant under the Mathematical and Physical Sciences (CFDA #47.049) program. The 3-year grant, running from September 1, 2024 to August 31, 2027, will support research to advance the understanding of polymer gels, an important class of materials used in a variety of health, industrial, and defense applications. The project aims to correlate spatiotemporal fluctuations of individual polymer...
The National Science Foundation (NSF) awarded a $273,706 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Matmerize, Inc., a for-profit organization, to develop a physics-informed/encoded polymer informatics platform to accelerate the development of advanced polymers and formulations. The project aims to transform the way polymeric materials are developed by adopting advanced artificial intelligence techniques to dramatically expedite the...
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...
The National Science Foundation awarded a $1,040,000 Project Grant to the Georgia Institute of Technology Research Corporation to support research under the Mathematical and Physical Sciences program. Over a three-year period ending August 2025, the grantee will develop novel synthetic approaches to two-dimensional nanosheets and study the assembly and properties of nanosheet stacks. Specifically, the grantee will focus on synthesizing functionalized MXenes and metal oxide nanosheets, assembling...
The National Science Foundation (NSF) awarded a $510,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the University of Chicago. The objective of this 3-year research project, starting on Jul 15, 2025, is to establish fundamental structure/processing/morphology/property relationships in a class of "pluripotent" polymer materials that can be tempered to access a wide range of room-temperature properties, from brittle and glassy to...
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...

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 properties. This will involve advances in modeling self-assembly, polymer physics/thermal phase behavior, relaxation analysis, and molecular packing/assembly through a combination of academic research, contributions from national laboratory partners, and targeted synthesis by collaborating researchers. Machine learning and artificial intelligence analytics and methodologies will also be leveraged to enhance experimental efficiency and knowledge inferences. The project is expected to have broad implications in macromolecular science and technology while also providing an interdisciplinary workforce trained in experimental methodologies, theory, simulations, and machine learning techniques.

Generated 6/18/24, 8:34 AM