Project Grant 2531805
- Texas Tech University was awarded a $237,111 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support research titled "Adaptive High Order Low-Rank Tensor Methods for High-Dimensional Partial Differential Equations with Application to Kinetic Simulations" being conducted from August 2021 through July 2024. The research aims to develop new computational...
- This $420,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of new numerical algorithms for simulating complex multiscale, multiphysics systems. The primary awardee, Virginia Polytechnic Institute & State University (Virginia Tech), will construct a novel hybrid time integration framework to enable accurate and efficient co-simulation of systems governed by time-dependent partial differential...
- This Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) provides $249,798 to Texas Tech University System to conduct collaborative research on structured population dynamics subject to stoichiometric constraints. The objectives are to design laboratory experiments and develop novel mathematical models that incorporate age/stage-specific nutritional constraints on growth, maturation, and reproduction....
- Texas Tech University was awarded a $211,917 Project Grant from the National Science Foundation Division of Mathematical Sciences on August 1, 2021 to complete work by July 31, 2024. The grant supports research titled "Geometry of Surfaces and Four-Dimensional Manifolds" under the NSF's Mathematical and Physical Sciences program (CFDA 47.049). This program aims to promote progress in the mathematical and physical sciences to strengthen the nation's scientific enterprise and increase...
- Texas Tech University was awarded a $275,585 Project Grant from the National Science Foundation Division of Mathematical Sciences from April 1, 2021 to March 31, 2024. The grant supports the REU SITE: MATHEMATICAL, STATISTICAL, AND COMPUTATIONAL METHODS IN THE LIFE SCIENCES project under the Mathematical and Physical Sciences program (CFDA 47.049). Through this funding, Texas Tech University will provide undergraduate students research experiences for the use of mathematical, statistical, and...
- 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...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to Texas Tech University System provides $249,394 to develop novel machine learning (ML) models that can accurately approximate kinetic equations used to model non-equilibrium phenomena in physics and engineering. The project aims to create reduced-order ML moment models that can capture the underlying physics while preserving key mathematical properties like hyperbolicity,...
- This $343,612 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support the development of novel numerical methods and computational tools for solving complex physical problems involving nonlinearities and spatially-varying media. The project aims to create fast, high-fidelity simulation capabilities that can advance scientific understanding and enable new technological innovations, thereby strengthening U.S....
- This federal Project Grant award for $200,000.00, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), supports research on hyperbolic behavior and chaotic systems. The project aims to gain a better understanding of the set of all possible invariant measures for such systems, which is crucial for making valid predictions about their behavior. The research involves the use of probability theory and ergodic theory to study these...
- The National Science Foundation Division of Mathematical Sciences awarded a $192,908 Project Grant to Texas Tech University from October 1, 2021 to September 30, 2023. The grant supports research titled "LEAPS-MPS: PREDATOR COMPETITION IN SYSTEMS WITH SEASONAL BIRTH" under the Mathematical and Physical Sciences program (CFDA 47.049). The Mathematical and Physical Sciences program aims to promote progress in mathematics and the physical sciences to strengthen the nation's scientific...
This federal Project Grant, awarded by the Division of Mathematical Sciences at the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences), provides $172,450.00 to Texas Tech University System to develop novel time integration methods for simulating complex multi-physical processes and their interactions occurring at a wide range of temporal scales or high frequencies. The project aims to derive innovative mixed exponential integrators and preconditioned rational exponential integrators for stiff systems, develop stiffly-accurate embedded multirate exponential methods for additively partitioned systems, and create stiffly-accurate exponential Nyström methods. These advancements in computational mathematics are expected to enhance simulations in applications such as numerical weather prediction, ocean modeling, and molecular dynamics. The award also supports the training of one doctoral student and provides opportunities for undergraduate and graduate students in mathematics at Texas Tech University.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $172.5k | 5/21/25 |