Project Grant 2513687

Award Date 7/1/25
Completion Date 6/30/28
Dollars Obligated $325K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Cambridge, MA 02139, USA
Similar Awards
The Massachusetts Institute of Technology (MIT) was awarded a $120,678.00 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant will fund research focused on the intersection of microlocal analysis and hyperbolic dynamics, with specific goals of understanding the behavior of waves and quantum states in chaotic systems, proving spectral gaps for open systems with...
This $183,897 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at the Massachusetts Institute of Technology (MIT) focused on curve counting beyond rational numbers. The project aims to develop new curve-counting invariants and methods to analyze symplectic manifolds, which are crucial mathematical objects for understanding physical phenomena like the movement of planets and particle behavior. The...
The National Science Foundation (NSF) awarded a $162,172 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the Massachusetts Institute of Technology (MIT). This grant supports a 3-year research project aimed at using randomized algorithms to address fundamental combinatorial problems and construct interesting mathematical objects, such as Latin squares. The research will explore threshold phenomena in random hypergraphs and develop techniques based...
This $204,997 federal Project Grant award was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) to the Massachusetts Institute of Technology (MIT). The grant will fund research focused on topics in automorphic forms and algebraic cycles, with a specific emphasis on studying the relation between the zeros of L-functions and algebraic cycles on modular varieties. The research aims to prove new results relating the zeros of...
The National Science Foundation awarded a $432,714 project grant to the Massachusetts Institute of Technology under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund a three-year collaborative research project titled "New Challenges in the Derivation and Dynamics of Quantum Systems" from July 1, 2021 through June 30, 2024. The project aims to promote progress in mathematical and physical sciences by increasing scientific knowledge and enhancing...
The National Science Foundation (NSF) awarded a $395,910 Project Grant to the Massachusetts Institute of Technology (MIT) under the Mathematical and Physical Sciences (MPS) program (CFDA 47.049) to fund research on statistical and computational thresholds in spin glasses and graph inference problems. The 3-year project, which will run from September 1, 2024 to August 31, 2027, aims to develop new methods for analyzing long-range dependencies and characterizing the typical behaviors of large...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $122,000 to the Massachusetts Institute of Technology (MIT) for a 5-year project. The goal is to develop new mathematical tools to analyze sampling algorithms used ubiquitously in practice, with applications across fields like materials science, statistical physics, Bayesian inference, differential privacy, and generative AI. The project will...
This Project Grant award of $600,000 was made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The goal of the project is to develop a mathematical foundation to guide the principled use of graph data in a wide variety of machine learning tasks. The research aims to characterize how the geometry of the underlying latent space affects graph structure, recover latent feature vectors from observed graphs, and...
The Massachusetts Institute of Technology (MIT) received a $330,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program. The grant supports research from 2023 to 2026 on non-parametric estimation techniques to address challenges with covariate shift in machine learning models. Specifically, MIT researchers will characterize fundamental limits of estimation with covariate shift, develop efficient algorithms that achieve these limits,...
This $129,353 federal Project Grant award was provided by the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) to the Massachusetts Institute of Technology (MIT) to support research on evolution equations in geometry. The project will investigate topics such as mean curvature flow and new methods for the diffeomorphism group, with applications to Ricci flow. The research aims to advance the understanding of how natural phenomena change over time, with potential...

This Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), supports fundamental research focused on advancing the capabilities of Krylov subspace methods - a popular class of computational algorithms used across various engineering, scientific, and technological domains. The $324,998 award to the Massachusetts Institute of Technology (MIT) will fund four specific research projects over a 3-year period from July 2025 to June 2028. The projects aim to: (1) examine the feasibility of a new complex moment method technique, (2) develop efficient algorithms for computing matrix functions for graph-related problems, (3) introduce a class of problems to provide insight into error estimates for Krylov subspace methods, and (4) introduce an algorithm to recover an orthogonal matrix from a finite moment sequence. This research is expected to further the understanding of Krylov subspace algorithm behavior and robustness, and create new computational tools for fundamental mathematical tasks.

Generated 6/24/25, 5:27 AM