Project Grant 2301725
Award Date
8/1/23
Completion Date
7/31/25
Dollars Obligated
$199K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
DeKalb, IL, USA
Similar Awards
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Northwestern University a $379,022 Project Grant under the Engineering federal grant program (CFDA 47.041) from September 1, 2021 to August 31, 2024. The grant funds collaborative research on artificial intelligence-driven multi-scale design of materials under processing constraints. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and...
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 Northern Illinois University a $146,385 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of April 1, 2021 through March 31, 2023. The grant funds the "EAGER: Requirements Domain Specifications for Machine-Learned Software Components" project. This project supports investigator-initiated research to develop requirements domain specifications that can be used to validate...
The National Science Foundation awarded Lambda Function, Inc. a $256,000 Project Grant under the Engineering (47.041) federal grant program to develop an artificial intelligence system for autonomous numerical control programming for advanced manufacturing. The grant funded the creation of an AI system between December 1, 2021 and May 31, 2022 that automates the programming of computerized machine tools for complex manufacturing processes. The NSF Engineering program supports innovation and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $250,000 to Northwestern University to develop novel foundation models and learning methods for automating the manufacturing design process. The project aims to leverage large language models like GPT-4 and multi-modal machine learning to enable the generation of CAD models and optimized manufacturing process instructions from natural language inputs...
The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...
This $500,001 Project Grant was awarded by the National Science Foundation (CFDA #47.070 - Computer and Information Science and Engineering) to the Texas A&M Engineering Experiment Station (Tees) to conduct research on advancing autonomous, materials-on-demand manufacturing capabilities through the convergence of manufacturing, AI, and materials science. The key objectives are to develop foundational principles for shape-constrained machine learning, effective handling of...
This National Science Foundation (NSF) Engineering program award supports research to develop an AI-powered smart database system called G-Forge for additive manufacturing. The $200,000 two-year project, awarded on February 1, 2024, will enable G-Forge to provide capabilities such as verifying, debugging, and indexing G-code files that drive 3D printers. The goal is to reduce errors and delays in the manufacturing process. The project will also integrate these capabilities into educational...
The National Science Foundation (NSF) awarded a $183,420 Project Grant under the Engineering program (CFDA 47.041) to the University of Texas at Arlington (UTA) Office of Research Administration Division. The grant will fund a collaborative research project to develop an integrated materials-manufacturing-controls framework for enhancing the efficiency and resilience of manufacturing systems. Key objectives include: 1) quantifying the effects of raw ingredients on feedstock properties, 2)...
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,...