Project Grant 2607995
- Federal Grant Award Summary The University of Tennessee received a $100,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) awarded September 15, 2025, with completion targeted for August 31, 2028. This collaborative research initiative supports fundamental mathematical research into phase-amplitude-based reduced order modeling and analysis of strongly coupled neural oscillators. The...
- Federal Grant Award Summary The University of Tennessee received a $300,776 Project Grant from the National Science Foundation's Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025 through July 31, 2028. This collaborative research initiative develops an autonomous experimental framework for materials discovery by creating machine learning (ML) agents capable of coordinating multiple laboratory instruments—including scanning...
- The University of Tennessee received a $256,113 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective August 1, 2025, through July 31, 2028. The project delivers mathematical research and analytical techniques focused on variational analysis of nonlocal models with applications to complex engineering and scientific phenomena. Specifically, the project develops rigorous mathematical foundations for the peridynamic model and related...
- Federal Grant Award Summary The University of Tennessee received a $554,265 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective July 1, 2025 through July 31, 2026. This grant supports the development of novel machine learning (ML) models and mathematical frameworks for computer-aided drug design (CADD) and virtual screening applications. The project introduces advanced mathematical...
- Federal Grant Award Summary The University of Tennessee received a $300,000 Project Grant award from the National Science Foundation's Division of Physics (Mathematical and Physical Sciences program, CFDA 47.049) effective August 1, 2025, through July 31, 2028. This award supports the development of ELEMENTS, a comprehensive toolkit for high-order neutrino-radiation hydrodynamics in general relativity. The project delivers advanced computational methods and open-source software frameworks...
- Federal Project Grant Award Summary The University of Tennessee received a $465,000 project grant from the National Science Foundation's Division of Materials Research (CFDA 47.049 – Mathematical and Physical Sciences) awarded on August 1, 2025, with completion targeted for July 31, 2028. The grant funds fundamental research to decode the mechanisms governing viscoelasticity of dynamic covalent networks (DCNs), which are polymers containing reversible chemical bonds. The research employs...
- The University of Tennessee received a $367,450 project grant award from the National Science Foundation Division of Mathematical Sciences on July 15, 2021 to support work on "APPROXIMATION AND ANALYSIS OF SELECTED NONSMOOTH, NONLINEAR, AND NONLOCAL EQUATIONS" through June 30, 2024. The award is being used to fund research activities aligned with the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these scientific fields and...
- Federal Grant Award Summary The University of Tennessee received a $239,376 Project Grant award on June 15, 2025, under the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an open-source software ecosystem for terrain parameter computation in earth science applications. The project, titled "POSE: Phase I—Towards an Open-Source Ecosystem for Accelerating High-Resolution Terrain Parameter Computation in Earth Science...
- Federal Grant Award Summary The University of Tennessee at Chattanooga received a $173,777 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049: Mathematical and Physical Sciences) effective September 1, 2026, through August 31, 2029. This collaborative research initiative develops an integrated multiscale mathematical modeling framework for viral infections that connects intracellular viral dynamics, extracellular immune responses, and...
- Federal Grant Award Summary The University of Tennessee received a $365,435 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041) effective October 1, 2025 through September 30, 2028. This collaborative research project delivers a comprehensive investigation of biopolymer-mineral surface interaction mechanisms to enable the development of environmentally responsible infrastructure improvement...
Federal Grant Award Summary The University of Tennessee received a $350,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049: Mathematical and Physical Sciences) for the period August 1, 2026 through July 31, 2029. The award supports the development and analysis of diffuse domain methods—advanced mathematical and computational approaches designed to solve partial differential equations on complex and evolving geometries in two and three spatial dimensions. The primary deliverables include new computational methods for simulating moving interfaces in multiphase systems without requiring expensive geometric reconstruction techniques, along with theoretical analysis using tools such as matched asymptotic expansions and analytical frameworks for both one-sided and two-sided interface problems. Beyond core research outcomes, the project is expected to produce openly available software for the research community, contribute to the broader scientific computing infrastructure supporting future artificial intelligence and data-driven modeling technologies, and generate educational materials including textbooks and freely available online lecture courses. The research addresses critical applications in biotechnology, materials science, and advanced manufacturing by enabling faster and more reliable large-scale simulations of complex physical and biological processes such as tumor growth, tissue development, solidification in advanced materials, and multiphase fluid flows. The award also emphasizes workforce development through graduate student training in applied mathematics and scientific computing.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 5/27/26 |