Project Grant 2223670
Award Date 9/1/22
Completion Date 8/31/25
Dollars Obligated $333K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Ann Arbor, MI 48109, USA
Similar Awards
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $448,149 Project Grant to Regents Of The University Of Michigan on September 1, 2023. The grant will fund research to enable renewable energy generation systems, such as wind turbines and kites, to operate optimally over a wide range of environmental conditions. This will promote the progress of science and advance national prosperity by developing a framework for real-time co-design and control of...
- This National Science Foundation Project Grant of $283,099 will support the development of new stochastic optimization methods to calibrate digital twins using large datasets. Awarded under the Engineering program (CFDA 47.041), the grant will fund research at the University of Michigan from January 2023 through December 2025. Specifically, the university researchers will develop computational approaches using statistical theories to guide simulation experiments and identify optimal subsets of...
- This $315,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new methods to robustly analyze and control large-scale networked systems with uncertain and variable delays. Specifically, the project will combine integral quadratic constraint and partial integral equation frameworks to enable accurate modeling and control of nonlinear systems with known and uncertain delay components. This work has direct applications...
- Federal Grant Award Summary The University of Michigan, through its Office of Research and Sponsored Projects Division, received a $440,888 Project Grant from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041). The award, effective January 1, 2026, through December 31, 2028, supports research on optimization, risk management, and adaptation frameworks for integrated infrastructure systems operating under...
- Federal Grant Award Summary The University of Michigan received a $263,764 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) effective October 1, 2025, through September 30, 2029. This collaborative research initiative addresses fundamental challenges in discrete and continuous optimization through three primary research thrusts: (1) analyzing the complexity of interior-point...
- The University of Michigan was awarded a $211,870 project grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering federal grant program (CFDA 47.041). The grant will fund research from August 1, 2021 to July 31, 2024 to develop automated methods for augmented designer performance using user reviews to inform user-centered generative design. Specifically, the University of Michigan will conduct collaborative research to create...
- Federal Project Grant Award Summary The University of Michigan received a $370,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective August 15, 2025, with an anticipated completion date of July 31, 2028. The award funds the development of advanced computational tools designed to simulate and optimize the locomotion of microscopic particles—including bacteria and specially-designed...
- This National Science Foundation Project Grant of $440,822 will fund the development of objective reduction frameworks and methods for sustainable process systems decision-making under the Engineering program (CFDA 47.041). Principal Investigator at the University of Michigan will receive the award from January 2023 through December 2027 to create computational tools for systematically reducing numerous objectives in multi-criteria optimization problems involving chemical manufacturing...
- This $431,430 National Science Foundation project grant supports the development of machine learning-aided methods to discover synthesizable, active, and stable heterogeneous catalyst materials. Funded under the NSF Engineering program (CFDA 47.041), the three-year award to the University of Michigan involves collaborating with Wayne State University to create an open-source, computer-aided workflow and tools for predicting catalyst properties beyond just activity. The project will apply density...
- Federal Project Grant Award Summary The University of Michigan received a $400,000 project grant from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective January 1, 2026 through December 31, 2028. This award funds research aimed at revolutionizing the design and manufacturing of nanocomposites through artificial intelligence (AI) and advanced processing techniques. The project deliverables...