This five-year, $999,809 National Science Foundation Project Grant under the Engineering (47.041) program will establish a novel artificial intelligence-enabled framework called ALGO for the data-driven design of programmable material systems. Northwestern University will develop new statistical and machine learning techniques to understand complex material-architecture-stimuli interactions and derive transferable design rules for programmable material systems focused on shape transformation,...
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...
This $500,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at Northeastern University to advance computational and data-enabled science and engineering. The project aims to develop a theoretical foundation for "Mechanics Informatics" - a new approach to learning material properties from a single, optimized mechanical test rather than requiring many tests. This will enable more efficient and cost-effective design of...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $354,392 Project Grant to The Regents of the University of California for collaborative research on learning and distributional feedback control for fabrication of advanced materials. The three-year award running from August 1, 2021 to July 31, 2024 is funded through the Engineering program (CFDA 47.041) to improve innovation, creativity and excellence in engineering research and education....
Northern Illinois University received a $198,574 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The award will support the development of an artificial intelligence-based computer aided manufacturing framework to facilitate automated toolpath planning and control for hybrid additive and subtractive manufacturing processes. The university's researchers will explore using...
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 $400,000 Project Grant from the National Science Foundation (NSF) will support research at Northwestern University exploring distributed robotic manufacturing to achieve scalable patterning of micro-structured functional surfaces. The NSF's Division of Computer and Network Systems and Division of Civil, Mechanical and Manufacturing Innovation are providing funding through the Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computing and...
The National Science Foundation awarded a $333,267 Project Grant to the University of Nebraska under the Engineering federal grant program (CFDA 47.041) for research titled "COLLABORATIVE RESEARCH: A METAMODELING MACHINE LEARNING FRAMEWORK FOR MULTISCALE BEHAVIOR OF NANO-ARCHITECTURED CRYSTALLINE-AMORPHOUS COMPOSITES." The period of performance for this research is January 1, 2022 through December 31, 2024. The grant funds collaborative research at the University of Nebraska to develop...
This Project Grant award for $289,065, provided by the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) and the Division of Information and Intelligent Systems (IIS), will fund research to accelerate the understanding, inverse design, and fabrication of architected materials with tailorable dynamic behaviors. The goal is to develop an integrated framework that seamlessly combines graph network theory, machine learning, numerical...
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...