Project Grant 2323695

Award Date 8/1/23
Completion Date 7/31/27
Dollars Obligated $263K
Funding Federal Agency
Division of Materials Research
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30332, USA
Similar Awards
The National Science Foundation (NSF) awarded a $1,149,379 Project Grant through the Mathematical and Physical Sciences program (CFDA 47.049) to the University of California, Santa Barbara (UCSB) to develop methods and materials for additive manufacturing that enable 3D printing of multi-material objects. The key research objectives are: 1) developing multi-material digital light processing (DLP) resins using machine learning to create patterns with extreme mechanical contrast, 2) creating a...
This Project Grant award from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) totaling $344,918 will establish a collaborative research program at Florida International University (FIU) to develop advanced data-driven approaches for additive manufacturing (AM) or 3D printing of materials with locally tunable electrical and mechanical properties. The research aims to create new polymer resin formulations for digital light processing (DLP) 3D printing that can...
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...
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...
This $380,824 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports a collaborative research effort between Georgia Southern University and the University of Texas at Austin. The goal is to develop a novel machine learning-assisted materials design cycle for bio-based thermosets, focusing on microbial oil-derived polymers. The key products and services to be delivered include: (1) high-throughput monomer production, (2)...
This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will enable Iowa State University of Science and Technology to develop new materials and manufacturing methods for 3D printing multi-material objects with varying mechanical properties. The key objectives are to use machine learning to create resins enabling extreme mechanical contrast, develop a multi-material 3D printing process using photoswitches, and...
The National Science Foundation (NSF) awarded a $625,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Wisconsin - Madison. The grant will fund a collaborative research project titled "DMREF: Simulation-Informed Models for Amorphous Metal Additive Manufacturing". The goal is to develop simulation-informed models and computational tools that can predict the strength and toughness of amorphous metals produced through additive...
This National Science Foundation (NSF) Designing Materials to Revolutionize and Engineer our Future (DMREF) Project Grant award, valued at $150,000 and running from October 1, 2023 to September 30, 2027, supports collaborative research to develop simulation-informed models for additive manufacturing of amorphous metals. The research team at The Washington University aims to derive meaningful measures of material structure from electron nanodiffraction and simulation data, and build predictive...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) for the "Collaborative Research: DMREF: Accelerated Design, Discovery, and Deployment of Electronic Phase Transitions (ADEPT)" project. The goal of the ADEPT project is to implement an accelerated discovery and co-design engine to efficiently deploy insulator-metal transition (IMT) materials for...
This National Science Foundation (NSF) Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) is focused on developing a novel, machine learning-assisted materials design cycle for creating bio-based thermoset polymers. The $285,435 award to the Georgia Southern University Research & Service Foundation Inc. will support high-throughput characterization, materials synthesis, and data-driven modeling to link monomer chemical composition to key material properties such...

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 discover new material chemistries for additive manufacturing (3D printing) that can provide local control over electrical and mechanical properties. The research will develop high-throughput experimental and computational methods to characterize polymer properties, build an active learning model to guide monomer selection, and leverage this to design and fabricate 3D functional devices. No sub-awards are planned for this award, which runs from August 1, 2023 to July 31, 2027. The project seeks to maintain and enhance US leadership in additive manufacturing through innovative materials research, student engagement, and promoting diversity, equity, and inclusion in STEM fields.

Generated 5/14/24, 2:12 AM