Project Grant 2608488
- Federal Grant Award Summary The University of North Carolina at Chapel Hill received a $250,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for the period July 1, 2026 through June 30, 2029. This award supports the development of theoretical foundations, methodological approaches, and computational tools for modeling time-dependent systems characterized by unknown heterogeneity across...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $100,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded June 1, 2026, with a completion date of May 31, 2029. This collaborative research initiative develops statistical theory and methodology for quantifying rates of change and gradients in spatiotemporal datasets, with primary application to biomedical and neuroimaging research. The...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $219,999 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences) effective August 15, 2025, through July 31, 2028. This award supports fundamental research investigating the long-term behavior and scaling limits of interacting particle systems using advanced mathematical tools including hydrodynamic limits, fluctuation...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $220,000 Project Grant award from the National Science Foundation's Directorate for Mathematical and Physical Sciences (CFDA 47.049) beginning September 1, 2025, and concluding August 31, 2028. This collaborative research initiative addresses computational wave imaging challenges by developing hybrid machine learning strategies that integrate physical principles with advanced deep learning models....
- Federal Project Grant Award Summary North Carolina State University received a $200,000 project grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective September 1, 2025, through August 31, 2028. This award supports fundamental research in optimal control of multiscale interface couplings that integrate partial differential equations (PDEs) with ordinary differential equations (ODEs) to model...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $125,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for a collaborative research initiative running from September 1, 2025, through August 31, 2028. The award supports the development and advancement of Generalized Fiducial Inference (GFI), an innovative statistical methodology...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $180,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective July 1, 2025, through June 30, 2028. This award supports rigorous mathematical research investigating the Anderson transition in random matrix theory, a critical phenomenon in condensed matter physics describing the sharp transition from conducting to insulating behavior in disordered...
- Federal Grant Award Summary North Carolina State University received a $350,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective July 1, 2025, through June 30, 2028. The award supports the development of a geometric framework for stochastic algorithms designed to solve large-scale mathematical models in feasibility and inclusion problems. The research deliverables include foundational principles and methodologies for incorporating...
- Federal Grant Award Summary Duke University's Office of Research Administration received a $300,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of July 1, 2025 through June 30, 2028. The award funds fundamental research into singularities, steady structures, and mixing in incompressible fluid flows—core mathematical and physical phenomena with applications spanning...
- Federal Project Grant Summary North Carolina State University received a $500,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective September 1, 2025 through August 31, 2028. The grant funds the development of a mathematical and computational framework to understand viral-cellular transduction mechanisms in engineered cell therapies. The research integrates experimental studies with...
The University of North Carolina at Chapel Hill received a $350,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) awarded July 1, 2026, with completion scheduled for June 30, 2029. This award supports the development of mimetic immersed boundary (IB) methods for fluid-structure interaction simulation. The project will create more reliable computational tools that preserve mathematical structures lost by conventional IB coupling methods, utilizing anisotropic regularized delta functions based on composite B-splines to address current limitations in volume preservation, fluid motion accuracy near pressurized surfaces, and local force estimation. The deliverables from this research will advance general-purpose simulation capabilities applicable to multiple high-impact domains, including cardiovascular modeling, medical device design, energy technology, aircraft and turbine analysis, and other engineered systems. The project will strengthen open-source software tools used by the scientific and engineering communities, train students in computational mathematics and scientific computing, and generate high-quality simulation data supporting federal strategic interests in biotechnology, advanced manufacturing, medical device design, energy technology, and artificial intelligence workflows that rely on accurate simulation data for training, testing, and validation.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 6/2/26 |