Cooperative Agreement 2505932
- The National Science Foundation (NSF) awarded a $3,000,000 Cooperative Agreement to Cornell University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to establish the AI Materials Institute (AI-MI). The AI-MI aims to advance foundational AI research to accelerate the discovery of new materials essential for sustainable energy, electronics, environmental stewardship, and quantum technologies. The Institute will develop an open, cloud-based AI Materials...
- The University of Illinois was awarded a $292,237 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on February 1, 2025. The award will fund a 5-year project to develop novel techniques and frameworks that enable non-computer science researchers to effectively leverage the computing power of modern hardware with massive parallelism for training advanced AI models for scientific discovery. Key objectives include creating...
- This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on April 1, 2025, aims to develop a foundation model for predicting rare events in atomistic simulations. The research, conducted by the University of Maryland, College Park, leverages advanced AI techniques like equivariant transformers, generative models, and multimodal learning to enhance prediction accuracy and generalization across...
- This $254,856 federal Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports data-intensive and computational research and education at the University of Illinois. The project aims to develop a new machine learning framework for the inverse design of sequence-defined macromolecules that can self-assemble into targeted morphologies and properties. The research will leverage generative deep learning models to predict the...
- This federal Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will fund an 8-week Research Experiences for Undergraduates (REU) site focused on advancing the use of Artificial Intelligence (AI) and Machine Learning (ML) in scientific discovery across the physical and biological sciences. The $466,338 award, effective from April 1, 2025 to March 31, 2028, will support the "AI+Science Summer Lab...
- This $220,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of advanced computational methodologies for drug discovery and development. The primary awardee, the Regents of the University of Minnesota, will create a comprehensive generative AI framework capable of efficiently generating high-quality drug candidates with multiple desired properties. This initiative aims to expedite...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to Yale University. This 3-year grant, effective June 1, 2025, supports the development of artificial intelligence-based tools to predict the yield of chemical reactions and design synthetic routes to complex natural products, with a focus on diterpenoid compounds. The goal is to apply computational strategies to streamline and expedite the synthesis of...
- This $1,800,000 award from the National Science Foundation's Mathematical and Physical Sciences Program (CFDA 47.049) supports a collaborative research project led by professors at the University of Maryland and Iowa State University. The project aims to leverage artificial intelligence, robotics, and machine learning to accelerate the discovery of high-performance and biodegradable polymer nanocomposites with tunable properties. The researchers will develop an integrated platform that...
- This $1,060,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to revolutionize the discovery of new solid-state materials for advanced energy storage, neuromorphic computing, and smart sensor applications. The project will leverage advanced artificial intelligence (AI), machine learning (ML), and automated synthesis tools to develop a transformative approach for designing solid-state ion conductors using multi-element...
- The National Science Foundation (NSF) awarded a $337,962 Computer and Information Science and Engineering (CFDA 47.070) Project Grant to the University of Illinois to expand its Breakthrough Tech AI program. The project, executed in collaboration with Cornell Tech and Hofstra University, aims to democratize access to high-quality AI education and significantly increase the number of underserved students, particularly women and other underrepresented groups, who receive training in artificial...
The National Science Foundation (NSF) awarded a $2,000,000 Cooperative Agreement under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of Illinois. This award, titled "AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing: Molecule Maker Lab Institute (MMLI)," seeks to advance AI-driven approaches for accelerating the discovery and synthesis of functional molecules. The institute will focus on developing foundational AI methods, large language models, and generative AI models to enable more efficient manufacturing and discovery of molecules with important functions, while also training a next-generation workforce with unique skills in AI, chemistry, and robotics. This effort aims to broaden access to the small molecule-making process and have a powerful impact on the U.S. research community. The award period runs from September 1, 2025, to August 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 8/26/25 | ||
| Not listed | $1.0m | 7/28/25 |