Project Grant 2244952
Award Date
6/1/23
Completion Date
5/31/26
Dollars Obligated
$295K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Binghamton, NY 13902, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 Engineering program provides $135,207 to the University of Maryland, College Park to establish a symbolic artificial intelligence (AI) framework for discovering physically interpretable constitutive laws of soft functional composites. The 1.5-year project aims to significantly accelerate the constitutive law discovery process for soft functional composites, which are essential for emerging technologies like...
This Project Grant award for $313,087 from the National Science Foundation's Engineering program (CFDA 47.041) will support a collaborative research initiative at the State University of New York at Binghamton to develop a physics-informed machine learning framework for tailoring the multidirectional mechanical properties of composite materials. The research aims to create a data-driven approach to understand the relationship between material architecture and mechanical behavior, facilitating...
The National Science Foundation (NSF) awarded a $399,916 Project Grant under its Engineering program (CFDA 47.041) to the University of Nevada, Reno (UNR) to fund research on developing ultrastrong and ultraelastic metallic alloys using artificial intelligence (AI) enabled automated design. The goal of this 16-month project is to leverage AI, computational modeling, and experimental tools to rapidly design, synthesize, and test new metallic alloy compositions that can withstand extreme stress...
This $600,000 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) is for a research project at the University of South Carolina to develop an experimental-computational framework for characterizing damage and fracture mechanisms in advanced fiber-reinforced composite materials. The primary objectives are to use digital image correlation and discontinuous finite element methods to reconstruct the full-field evolution of material properties and damage...
This $598,958 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research at the University of Illinois to study the mechanical behavior of two-dimensional atomic sheets with defects. The project will leverage advances in artificial intelligence and machine learning to overcome computational challenges in modeling the elasticity, strength, and fracture properties of these two-dimensional lateral heterostructures. The research aims to...
The National Science Foundation awarded a $200,000 Project Grant under the Engineering program (CFDA 47.041) to the South Dakota School of Mines & Technology. This 2-year award, running from June 2025 to May 2027, supports the development of a computational framework to simulate elastic deformation and fracture in advanced materials, such as metal-ceramic composites, under extreme conditions. The research aims to create open-source simulation tools that can guide the design of safer, more...
The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
The National Science Foundation awarded Georgetown University a $606,921 Project Grant under the Engineering program (CFDA 47.041) from October 1, 2021 to September 30, 2025. The grant funds collaborative research on rheostructurally-informed neural networks to design geopolymer materials. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research. This award will support the development of artificial intelligence...
This $325,044 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop a new "aerodynamic fiber deposition" technology to manufacture biomimetic soft fiber-reinforced composites with spatially varying fiber arrangements. The research aims to enable the production of high-throughput, highly controlled nano/microfiber patterns that mimic the complex fiber structures found in biological tissues like skin, muscle, and...
The University of Utah received a $622,222 National Science Foundation Project Grant under the NSF Engineering program (CFDA 47.041) for the period of September 1, 2021 through August 31, 2025. The grant funds collaborative research on physics-informed artificial intelligence to parallelly design metal matrix composites and their additive manufacturing processes. The NSF Engineering program seeks to improve quality of life and economic strength through innovative engineering research and...