Project Grant 2311471
- This $247,811 Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) supports research at Oberlin College to develop and test AI programming tools to assist scientists in writing computer programs for scientific research. The goal is to create AI models and tools that can help scientists, who are not expert programmers, be more productive and improve the reproducibility of scientific work. Key products and services include developing large language...
- Federal Grant Award Summary This collaborative research project, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), received $200,000 in obligation and was awarded on September 1, 2025, to The Trustees of Princeton University. The project develops a unified neurosymbolic reasoning and formal verification system that combines artificial intelligence with rigorous mathematical proof verification to address the...
- This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to develop innovative Artificial Intelligence (AI) tools to study polyhedra, which are fundamental geometric shapes with wide-ranging applications. The key objectives of the project include: Leveraging AI techniques like diffusion methods and reinforcement learning to generate diverse, high-quality polyhedral samples Integrating large language...
- This $275,000 Project Grant from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports research on optimization algorithms and digital twins constrained by partial differential equations (PDEs) that incorporate data to make decisions resilient to uncertainty. The research will develop: (1) inexact adaptive semismooth Newton and trust-region methods to solve these optimization problems; (2) primal dual...
- This $296,555 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support the development of reduced basis enhancements for neural networks and their application to quantum materials simulation. Specifically, the University of Massachusetts Dartmouth will combine traditional reduced basis methods with deep learning techniques to build an analysis-driven computational emulator for parameterized partial differential equations....
- Federal Project Grant Award Summary Columbia University has been awarded $155,000 by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) to develop innovative methods for adaptive data integration across heterogeneous and evolving datasets. The three-year project, running from August 1, 2025 through July 31, 2028, will deliver three interconnected research thrusts: (1) transfer learning methods for integrating...
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded Princeton University a $300,000 project grant effective July 15, 2025, through June 30, 2028, under the Mathematical and Physical Sciences program (CFDA 47.049). This award supports the development of novel computational methods and robust mathematical theory for signal recovery from highly corrupted and distorted data. The project will produce advanced algorithms capable of extracting...
- This Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports research to develop novel mathematical models and efficient algorithms for deep learning on large-scale graph-structured data. The $249,999 award, spanning September 2024 to August 2027, aims to produce innovations in areas like graph convolutional networks, graph matching, and graph clustering. The research will involve graduate...
- Federal Project Grant Award Summary The Division of Mathematical Sciences (DMS) of the National Science Foundation awarded $181,124 to the University of California, San Diego under the Mathematical and Physical Sciences program (CFDA 47.049) for the project "Exploiting Smooth Substructure in Non-Smooth Stochastic Optimization." The award period runs from July 1, 2025, through May 31, 2026. This project develops advanced optimization algorithms designed to handle large-scale,...
- The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $300,000.00 to The Trustees of Princeton University to extend the source transformation Automatic Differentiation (AD) tool "CLAD" to enhance support for C++ programming language constructs and improve interoperability with large-scale scientific computing codes. The project aims to enable researchers to leverage differentiable programming techniques, which combine domain knowledge with powerful gradient-based optimization methods, for advancing scientific discovery and innovation across a range of disciplines. Key objectives include: (a) expanding CLAD's C++ language support, including for concurrency features to leverage GPU acceleration; (b) facilitating AD interoperability and integration with major scientific software; and (c) promoting broader adoption of differentiable programming in the sciences. This award will transform CLAD into sustainable cyberinfrastructure and engage scientists from multiple domains to utilize CLAD in their data-driven research pipelines.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 9/5/23 |