Project Grant 2608883
- Federal Project Grant Award Summary The University of Texas at Austin received a $311,780 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded on July 1, 2025, with completion targeted for June 30, 2028. This award supports fundamental research on Benjamini-Schramm convergence and aspects of ergodic theory applied to non-amenable groups. The research project focuses on three primary objectives: identifying explicit non-sofic unimodular...
- Federal Project Grant Award Summary The University of Texas at Austin received a $227,796 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for collaborative research on spectral analysis of limiting operators in higher dimensions. The award, effective August 1, 2025 through July 31, 2028, will support the development of advanced mathematical techniques for analyzing signals in multiple...
- Federal Grant Award Summary The National Science Foundation's Division of Materials Research awarded a $1.5 million Project Grant to the University of Texas at Austin on October 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop MATCSSI 2.0, a cloud-integrated platform that democratizes access to advanced many-body electronic structure computational methods. The project, which extends through September 30, 2028, addresses the mathematical complexity and...
- Federal Project Grant Award Summary The University of Texas at Austin received a $111,427 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective September 1, 2025, through August 31, 2027. This research project investigates discrete subgroups of Lie groups and geometric structures on locally homogeneous manifolds—abstract mathematical objects with applications to theoretical physics and cosmology. The research aims to advance...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded the University of Texas at Austin a Project Grant of $139,915 (awarded August 15, 2025, with completion targeted for July 31, 2027) under the Mathematical and Physical Sciences program (CFDA 47.049) to support fundamental research in representation theory. The project focuses on developing a unified geometric approach to classifying unitary representations of real reductive groups by...
- Summary of Federal Project Grant Award The University of Texas at Austin received a $703,154 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) beginning April 1, 2026, with a completion date of March 31, 2031. The award funds the FAMLIES (Framework for Advanced (Multi)Linear Infrastructure in Engineering and Science) project, a collaborative research initiative delivering an...
- Federal Project Grant Award Summary The University of Texas at Austin received a $199,998 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) awarded on August 15, 2025, with completion targeted for July 31, 2028. This award funds fundamental mathematical research addressing collisional kinetic theory and the behavior of interacting particle systems across multiple scales. The project advances...
- Award Summary The University of Texas at Austin received a $399,998 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 August 1, 2025 through July 31, 2028. The award supports research on "Numerical Scheme-Guided Deep Learning for Scientific Computing," which develops innovative algorithms that integrate classical numerical schemes with deep learning paradigms to...
- Federal Project Grant Award Summary The University of Texas at Austin received a $380,824 Project Grant award from the National Science Foundation's Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) on June 1, 2025, with completion targeted for May 31, 2028. This collaborative research initiative, conducted in partnership with Georgia Southern University, focuses on developing a machine learning-assisted materials design cycle for bio-based...
- Project Grant Summary The University of Texas at Austin received a $175,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective August 15, 2025, with completion anticipated by July 31, 2028. This award funds the development of novel Bayesian hierarchical frameworks designed to address measurement error problems in complex multivariate data analysis. The project delivers advanced...
The University of Texas at Austin received a $320,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2026, with completion targeted for July 31, 2029. This award funds the development of fast randomized algorithms designed to solve large-scale computational problems in scientific computing and engineering applications. The project delivers mathematical and computational tools that leverage randomization to efficiently process massive data matrices that are impractical to store or manipulate using conventional methods, thereby enabling faster, more memory-efficient, and more accurate large-scale simulations. The deliverables and research outputs address critical applications across multiple domains including electromagnetic device design, radar and sonar modeling, medical imaging, nondestructive testing, materials modeling, and molecular simulation. The research also generates accuracy verification methodologies for artificial intelligence-assisted scientific software and compact physical system representations to support trustworthy machine learning models. Beyond core research products, the award includes an educational component supporting doctoral student training in mathematical research, scientific computing, and high-performance computing through connections with the Texas Advanced Computing Center, thereby strengthening the Nation's scientific workforce in computational mathematics.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $320.0k | 5/18/26 |