Project Grant 2608254
- This $399,583 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research to develop numerical algorithms that can estimate solutions to partial differential equations (PDEs) without full boundary condition information. The research aims to enable improved modeling and forecasting capabilities across various applications, including meteorology, biology, and engineering design. The primary awardee, Texas...
- The National Science Foundation Division of Mathematical Sciences awarded a $149,783 Project Grant to Texas A & M University from July 2021 through June 2024 under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds research titled "CDS & E-MSS: OPTIMAL RECOVERY IN THE AGE OF DATA SCIENCE" to promote progress in the mathematical and physical sciences. Specifically, the university will leverage data science techniques to advance understanding of major...
- The National Science Foundation awarded a $413,959 Project Grant to Texas A&M University from July 1, 2021 to June 30, 2024 under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports collaborative research on non-perturbative analysis for multi-dimensional quasiperiodic systems. The Mathematical and Physical Sciences program aims to advance scientific knowledge and understanding in these fields. Under this award, Texas A&M University researchers will work to...
- Texas A&M University was awarded a $592,061 Project Grant from the National Science Foundation Division of Mathematical Sciences on August 1, 2021 with a completion date of July 31, 2024. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049) to promote progress in these fields and strengthen the Nation's scientific enterprise. Under this award, Texas A&M University will develop high-order invariant domain preserving approximations of multiphysics systems...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Texas at Austin $320,000 on August 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop fast randomized algorithms for solving large-scale computational simulations in electromagnetic device design, radar and sonar modeling, medical imaging, materials science, and molecular simulation. The project addresses a core computational challenge: physical systems generate...
- The National Science Foundation Division of Mathematical Sciences awarded Texas A&M University $206,253 on May 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to research Lp-approximation properties of von Neumann algebras and their applications in operator algebras and noncommutative analysis, with performance at College Station, Texas through June 30, 2027. The project will explore Lp-approximation properties of group von Neumann algebras and their connections...
- Federal Grant Award Summary Texas A&M University received a $239,850 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 15, 2025, with a completion date of July 31, 2028. The project develops and advances optimal recovery theory—a mathematical framework that provides worst-case performance guarantees for function learning and recovery algorithms under realistic...
- The National Science Foundation awarded a $249,460 project grant to Texas A&M University from July 1, 2021 to June 30, 2024 under the Mathematical and Physical Sciences program (CFDA 47.049). The university will research the geometry of graphs and Banach spaces over this three-year period. The Mathematical and Physical Sciences program aims to advance these fields and strengthen the nation's scientific enterprise through increased knowledge and understanding of major problems. This...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Texas at Austin $149,999 on August 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to advance the mathematical theory of complex and multiphase media including films, foams, and liquid crystals with applications in foods, pharmaceuticals, water treatment, and soft and bio-inspired materials design. The project characterizes interfacial structures in films and foams that govern...
- This National Science Foundation (NSF) Project Grant award, under the Mathematical and Physical Sciences (CFDA 47.049) program, will support research on stochastic methods and isoperimetric inequalities at Texas A&M University. The $238,406 award, active from July 2024 to June 2027, will develop techniques to bridge fundamental conjectures in Brunn-Minkowski theory and dual Brunn-Minkowski theory, with a focus on intersection bodies and higher-dimensional generalizations. The research aims...
The National Science Foundation Division of Mathematical Sciences awarded Texas A&M University $269,999 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop and analyze optimal data assimilation algorithms for computational models of physical systems. The project addresses the mathematical theory of finite element methods in cases where a physical law governing behavior inside a domain is known but boundary conditions are unknown or incomplete. The work focuses on PDE-based optimal recovery for elliptic partial differential equations with missing boundary data, using finite element algorithms involving discrete solutions of fractional elliptic problems on domain boundaries solved via sinc quadrature-based approximation schemes. Potential applications include aircraft design and biotechnology. The award supports graduate training through doctoral dissertation work. Performance of work occurs at College Station, Texas, with an ultimate completion date of August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $270.0k | 8/5/26 |