The National Science Foundation (NSF) awarded a $256,113 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program to the University of Tennessee (UT). The grant, awarded on August 1, 2025, aims to develop mathematical techniques for analyzing nonlocal models, which have proven effective in modeling complex natural, scientific, and engineering phenomena such as material fractures and anomalous diffusion processes. The research activities will enhance the...
The National Science Foundation (NSF) awarded a $498,229 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to Yale University. The grant will fund research to develop new mathematical and machine learning techniques for analyzing complex, high-dimensional biomedical data such as single-cell sequencing and gene regulatory networks. Key research thrusts include creating data geometric features and neural network models to characterize point cloud data, preserving...
This three-year Project Grant from the National Science Foundation's Integrative Activities program, totaling $535,066, will fund research at Tennessee State University from September 2022 through August 2025. The university will develop new algorithms using geometric graph theory and machine learning to analyze cryo-electron microscopy images of protein macrostructures. The goal is to automate the identification of secondary structure elements in proteins, which could advance modeling...
The University of Tennessee received a $649,995 Project Grant award from the National Science Foundation Directorate for Mathematical and Physical Sciences on February 1, 2022 to develop data-driven coupled-cluster methods for biomimetic CO2 capture. The grant is part of the Mathematical and Physical Sciences program (CFDA 47.049) and will support research through January 31, 2027 to advance scientific knowledge and understanding of major problems through progress in mathematical and physical...
The University of Tennessee received a $500,000 Project Grant award from the National Science Foundation Division of Chemistry on August 1, 2021 to fund research titled "SPECTROSCOPIC INVESTIGATIONS OF MOLECULAR QUANTUM MATERIALS. PROBING SPIN-PHONON COUPLINGS AND INTERMOLECULAR MAGNETIC INTERACTIONS." The award is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which supports progress in these scientific fields to strengthen the nation's research...
This $229,461 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development and analysis of novel self-supervised probabilistic graph structure learning models. The goal is to uncover latent representations hidden within large datasets, which can provide valuable insights across diverse applications like cancer research and environmental analysis. The research will involve creating advanced mathematical models,...
The University of Tennessee received a three-year $365,910 Project Grant from the National Science Foundation Division of Chemistry under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds collaborative research to characterize and optimize nanoparticle systems functionalized with N-heterocyclic carbenes. The research aims to advance understanding of major problems in nanoscience and materials chemistry through increasing the store of scientific knowledge on...
The National Science Foundation awarded a $752,674 Project Grant to the University of Tennessee under the Mathematical and Physical Sciences program (CFDA 47.049) from July 1, 2021 to June 30, 2024. The grant funds research to create bio-based peptides and determine their mechanisms as ice recrystallization inhibitors. The Mathematical and Physical Sciences program aims to advance scientific knowledge and understanding in core disciplines, consistent with the scope of this research. The...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $204,533 Project Grant to the University of Tennessee, through its Univ Tennessee System Office, to research structure preservation in numerical discretization of partial differential equations with degenerate diffusive behavior. The project aims to develop new numerical methods that preserve the intrinsic mathematical structure of these diffusion-dominated evolution problems, which have applications in areas...
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...