Project Grant 2517646
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $315,000 to Florida State University (FSU) to develop an intelligent system that leverages existing engineering knowledge embedded in texts and images to detect manufacturing anomalies in zero-shot settings. The goal is to create a scalable and automated approach that combines technical documents with machine learning to identify unexpected deviations from normal manufacturing process...
- This Project Grant from the National Science Foundation provides $1,367,545 to the University of Michigan under the Engineering program (CFDA 47.041) from October 1, 2021 to September 30, 2025. The funding supports collaborative research titled "Machine Learning-Aided Discovery of Synthesizable, Active and Stable Heterogeneous Catalysts." The Engineering program seeks to improve quality of life and economic strength through innovation and excellence in engineering research. This...
- The University of Michigan will receive $356,135 over three years from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to develop dynamic properties of elastic media using self-trained convolutional neural networks. The project aims to improve understanding of material behavior through computational modeling with neural networks. As the awardee, the University of Michigan will conduct this research from July 2021 through June 2024 at its Ann Arbor...
- The National Science Foundation (NSF) awarded a $249,999 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the Regents of the University of Michigan, doing business as the University of Michigan-Dearborn. The grant, effective from January 15, 2026 to December 31, 2028, aims to develop a physics-informed probabilistic prognostics platform called "Modular Analytics for Prognostics with Small Data." This platform will enable...
- This $488,463 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by the Regents of the University of Michigan to transform the field of adaptive structures and materials through the embodiment of intelligence in mechanical metamaterials. The research aims to harness topologically-protected wave networks and physical computing in architected materials to create intelligent structural systems with capabilities like...
- The University of Michigan-Dearborn received a three-year, $154,992 Project Grant from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to support research titled "COLLABORATIVE RESEARCH: ENGINEERING GRADIENT NANOSTRUCTURED METALS BY MULTI-PASS PLASTIC WAVE DEFORMATION." The funding period is from October 1, 2021 to September 30, 2024. Through this award, University of Michigan-Dearborn researchers will conduct collaborative engineering research...
- This $478,823 federal Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), supports foundational research to create intelligent structures and materials with multi-faceted mechanical intelligence (mechano-intelligence). The objective is to leverage multi-functional origami as a mechanical neural network to develop self-aware, autonomous engineering systems capable of perceiving, memorizing, and making decisions about their environment....
- The University of Michigan will receive $350,000 in funding from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to support research advancing engineers' ability to recognize, strategize about, and act on concerns related to public welfare from May 2021 through April 2024. Specifically, the University will conduct research projects aimed at improving how engineers are educated and trained to consider social and ethical implications of technologies in...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $440,888 Project Grant to the Regents of the University of Michigan to support research on new models and a comprehensive framework to capture the complexities and interdependencies of integrated infrastructure systems, while accounting for technological innovations and policy changes. The research aims to enhance system performance, improve resilience to risks, and promote more efficient resource utilization to...
- The National Science Foundation (NSF) awarded a $783,729 Project Grant under its Engineering program (CFDA 47.041) to the Regents of the University of Michigan. The grant, running from September 1, 2025 to August 31, 2028, aims to advance the fundamental understanding of deformation behavior in amorphous solids, such as metallic glasses and granular systems, which exhibit complex, non-crystalline structures and mechanisms not captured by conventional models. Through a combination of atomistic...
This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $185,000.00 to the Regents of the University of Michigan, doing business as University of Michigan-Dearborn, to conduct collaborative research on improving zero-shot learning of manufacturing anomalies. The goal is to develop an intelligent system that leverages existing engineering knowledge embedded in texts and images to detect new and unforeseen anomalies in advanced manufacturing systems, thereby strengthening domestic production capabilities and reducing dependence on manual inspection and expert-only knowledge. The project will engage STEM students in cutting-edge research at the intersection of artificial intelligence, natural language processing, and manufacturing engineering, while also supporting long-term technology transfer through industry seminars. The award period runs from Sep 1, 2025 to Aug 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $185.0k | 8/26/25 |