Project Grant 2529111
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Texas at Austin. The grant, titled "COLLABORATIVE RESEARCH: MATH-DT CLOSING THE GENERALIZATION GAP OF DIGITAL TWINS," aims to develop fundamental theories and robust digital twins that can accurately predict outcomes for complex systems under extreme or unexpected conditions. The project will focus initially on modeling human...
- This federal Project Grant award for $444,202, provided by the National Science Foundation's (CFDA 47.049) Mathematical and Physical Sciences program, supports research at the University of Utah to develop a novel mathematical and computational framework for dramatically accelerating the calibration and updating of digital twin models. Digital twins are virtual representations of physical systems that enable real-time simulation, monitoring, and prediction of their real-world counterparts,...
- This $447,875 Project Grant award under the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research at the University of Texas at San Antonio (UTSA) to advance the theoretical foundations for efficiently processing real algebraic sets. The key objectives are to: Design algorithms for finding complex zeros of sparse polynomial equation systems in average-case polynomial time. Investigate the relationship between description...
- This $500,005.00 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop innovative methodologies for quantifying and controlling rare events in complex systems using digital twins. The project, titled "RAREDT: Rare Event Quantification and Control in Digital Twins," will create digital twin models that explicitly incorporate rare event quantification and control to enhance safety and resilience in areas such...
- This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $269,979 to the Santa Fe Institute of Science to conduct collaborative research on developing robust digital twin models that can accurately predict the behavior of complex systems under unexpected conditions. The key objectives are to: Investigate the generalization abilities of digital twins by combining mathematical tools from nonlinear dynamics and machine...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Utah. The grant, with a performance period from October 1, 2024 to September 30, 2027, will fund collaborative research to develop the theoretical foundations for AI-assisted digital twins to integrate scientific data, physical models, and machine learning for complex high-power laser science and engineering. The project aims to enable...
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program provides $244,053 to the University of Texas Rio Grande Valley (UTRGV), a Hispanic-Serving Institution, to support research on the D-bar-Neumann problem in complex analysis and geometry. The research aims to develop new tools and methods to solve long-standing questions in this field, which has important connections to physics and engineering. Key...
- The National Science Foundation (NSF) awarded a $222,459 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Texas A&M University-San Antonio. The grant, with a project period from January 1, 2026 to December 31, 2027, will support a study on the representation theory of Hermitian lattices. This research aims to deepen theoretical understanding of lattices and strengthen the cryptanalytic foundations of lattice-based post-quantum cryptography....
- The National Science Foundation (NSF) awarded a $549,999 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Texas (UNT). The grant, with an award period of July 1, 2025 to June 30, 2030, will support the development of a time-sensitive large model training platform for dynamic data analytics. This research aims to create methods to dynamically refine and adapt existing large-scale deep learning models, enabling real-time...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $370,774 to the University of Houston System to develop an innovative framework for learning digital twins of human physiology. The goal is to create personalized, data-enabled digital models that can simulate glucose metabolism and help evaluate new treatments and technologies for type 1 diabetes management, without the risks of real-world trials. The research...
The National Science Foundation (NSF) awarded a $429,040 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to The University of Texas at San Antonio (UTSA). The grant funds a collaborative research project titled "COMPUTATIONALLY EFFICIENT HYPERCOMPLEX VARIABLE-BASED SENSITIVITY METHODS FOR RAPID DIGITAL TWIN MODEL UPDATING." The project aims to develop a new mathematical and computational framework to dramatically accelerate the process of updating digital models with real-world data, enabling faster and more accurate digital twin applications. This work has the potential to advance capabilities in predictive maintenance, process optimization, and risk mitigation, supporting US economic productivity, public safety, technological innovation, and competitiveness. The grant term runs from Sep 15, 2025 through Aug 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $429.0k | 8/5/25 |