Project Grant 2322108
Award Date
10/1/23
Completion Date
9/30/24
Dollars Obligated
$274K
Federal Agency
National Science Foundation
Awardee
Matmerize, Inc. (XX5KW67Y9NB1)
Federal Grant Program
47.084
Assistance Type
Project Grant
Place of Performance
Dover, DE 19904, USA
Similar Awards
This federal Project Grant award of $244,960 from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) supports computational research to discover new block polymer materials. The project aims to develop generative AI and machine learning techniques to predict novel self-assembled block polymer structures and identify the corresponding polymer formulations and processing parameters. The goal is to enable the discovery of new multifunctional materials...
The National Science Foundation (NSF) awarded a $2,574,835 Project Grant under its Integrative Activities program (CFDA 47.083) to the University of Illinois at Urbana-Champaign. The award supports the acquisition of an automated, high-throughput system for the combinatorial design and development of complex polymer systems. This state-of-the-art system integrates component dispensing, mixing, and processing with high-throughput rheological, optical, and thermal characterization of materials....
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...
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 $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 (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 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 $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...
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 $144,562 Project Grant award from the National Science Foundation's (NSF) Division of Materials Research under the Mathematical and Physical Sciences Program (CFDA 47.049) supports the development of the Multiscale Polymer Toolkit (MUPT) - an expanding suite of Python software libraries and community recipes to enable reproducible and extensible computational research on reacting polymer materials. The key deliverables include: (A) a multiscale, internal software representation for polymers...