Project Grant 2307801

Award Date 8/1/23
Completion Date 7/31/26
Dollars Obligated $361K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
La Jolla, CA 92093, USA
Similar Awards
The University of California, San Diego will receive $547,894 under a three-year Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant falls under the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically, the funding will support research on standard cell layout to facilitate...
The University of California, San Diego will receive $200,000 from the National Science Foundation under a Project Grant award titled "NUMERICAL METHODS FOR NONLOCAL MODELS WITH APPLICATIONS TO MULTISCALE AND NONLINEAR SYSTEMS." The grant period runs from July 15, 2021 through June 30, 2024. The funding will support research into numerical methods for nonlocal models and their applications to multiscale and nonlinear systems, advancing the goals of the NSF's Mathematical and Physical...
This National Science Foundation (NSF) Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) will provide $295,000 to the University of California, San Diego (UCSD) from August 1, 2024 to July 31, 2027. The grant will support research focused on developing a broad theoretical framework and general scaling limit theory for high-dimensional stochastic differential equations. The research aims to advance the understanding of how the behavior of systems described by...
The University of California, San Diego (UCSD) received a $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports the development of advanced computational and statistical methods for analyzing complex, dependent data from diverse scientific domains such as climate, economics, and neuroimaging. Key research thrusts include subsampling and resampling techniques for large datasets, robust...
The University of California, San Diego (UCSD) was awarded a $455,058 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 4-year project, which started on July 1, 2024, focuses on developing techniques for a mathematical understanding of deep learning and its application to a variety of neural network models and data sets. The key objectives are to: 1) compare different networks and understand...
The University of California, San Diego (UCSD) was awarded a $300,000 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research integrating metric and topological perspectives in graph analysis from June 1, 2023 through May 31, 2026. Through this award, UCSD researchers will develop new methods for analyzing complex graph data by combining ideas from fields like applied topology,...
The University of California, San Diego (UCSD) has been awarded a $189,999 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences Program (CFDA 47.049). This 3-year grant will enable UCSD researchers to study random walks and super-approximation techniques, with applications across various mathematical disciplines and beyond. The Principal Investigator will investigate properties of random walks on spaces with...
The National Science Foundation (NSF) awarded a $369,218 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of California, San Diego (UCSD) to develop analytical methods for approximating the state of certain dynamical systems. The project aims to advance the understanding of quantitative aspects of the analysis of dynamical systems, with a focus on rigidity phenomena in the dynamics of group actions on structured spaces. Key research areas include...
The University of California, San Diego was awarded a $413,262 Project Grant from the National Science Foundation under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will support collaborative research to engineer, image, and control three-dimensional topological magnetic materials from July 1, 2021 to June 30, 2024. The Mathematical and Physical Sciences program aims to advance scientific knowledge and enhance understanding of major problems through support of research...
The University of California, San Diego was awarded a $218,577 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 in the field of combinatorial representation theory from July 2023 through June 2026. Specifically, the principal investigator and collaborators will study objects that remain invariant under certain linear symmetries, seeking to extend...

The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $360,935 Project Grant to the University of California, San Diego (UCSD) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports the development of accurate and efficient numerical methods for optimal chip layout and sensitivity analysis tools to improve the design and manufacturing of high-performance, power-efficient microprocessors. The project leverages the hierarchical and interconnected structure of complex engineering systems like modern system-on-a-chip (SoC) microprocessors to advance symplectic adjoint sensitivity analysis, optimization, and neural network training techniques. The research aims to decrease the cost and time required to design and fabricate advanced semiconductor devices. UCSD will collaborate with industry partners to ensure the developed numerical methods address real-world challenges in semiconductor design and enable broad dissemination of the resulting computational tools.

Generated 4/30/24, 5:06 AM