Project Grant 2411304

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $145K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Hoboken, NJ 07030, USA
Similar Awards
This Project Grant award of $133,269 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of the Multiscale Polymer Toolkit (MUPT), an expanding suite of Python software libraries and community recipes for reproducible and extensible computational research on reacting polymer materials. The MUPT deliverables include: (a) a multiscale, internal software representation for polymers enabling data...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $142,568 to the University of Florida to develop the Multiscale Polymer Toolkit (MUPT). The MUPT is an expanding suite of Python software libraries and community recipes that enable reproducible and extensible computational research on reacting polymer materials across length scales. Key deliverables include: A multiscale internal software...
This Project Grant award of $146,360.00 was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to the Regents of the University of Minnesota. The award will fund the development of the Multiscale Polymer Toolkit (MUPT), an expanding suite of open-source Python software libraries and community recipes to enable reproducible and extensible computational research on reacting polymer materials across length scales. Key...
This $428,573 Project Grant award from the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program supports the development of the Multiscale Polymer Toolkit (MUPT) - an open-source software suite that enables reproducible and extensible computational research on reacting polymer materials. The project aims to create tools for interoperability between major polymer simulation engines, as well as workflows, documentation, and...
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 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, 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 $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 (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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $144,562 to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey, will develop the Multiscale Polymer Toolkit (MUPT). The MUPT is an expanding suite of Python software libraries and community recipes that enable reproducible and extensible computational research on reacting polymer materials from angstrom to micron length scales. The key deliverables include: (A) a multiscale internal software representation for polymers to enable data conversion between major simulation engines; (B) an interface allowing researchers to plug in existing software tools for polymer parameterization, building, and crosslinking; (C) a workflow interface for linking existing software tools and programmatically generating simulation inputs; (D) a searchable repository of community-vetted polymer simulation workflows; (E) documentation for best practices in polymer modeling; and (F) recommendations for training research software engineers. This 3-year award, beginning on October 1, 2024, aims to advance computational methods for emerging polymer technologies like biogels, purification membranes, recyclable plastics, and advanced composites.

Generated 6/17/25, 3:12 AM