Cooperative Agreement 2433348
- The National Science Foundation (NSF) awarded a $18,113,645 Cooperative Agreement under the Computer and Information Science and Engineering (CFDA 47.070) program to the Allen Institute for Artificial Intelligence. The award, with a period of performance from August 15, 2025 to July 31, 2030, will provide an "Open, Multimodal Artificial Intelligence (OMAI) Research Infrastructure". This infrastructure will consist of a suite of open, well-documented, and up-to-date large language...
- The National Science Foundation (NSF) awarded a $3,000,000 Cooperative Agreement under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of Illinois. The award, titled "AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing: Molecule Maker Lab Institute (MMLI) 2.0," supports the development and application of new foundational AI methods and generative AI models for accelerating molecule discovery and...
- This Cooperative Agreement award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will support the continued operation of the AI Institute for Student-AI Teaming. The Institute will pursue a transformative vision for using artificial intelligence (AI) to promote student success in STEM education, where AI serves as a collaborative partner to help students and teachers make learning more effective and engaging. With...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA #47.070) provides $300,000 to the University of Maryland, College Park (UMD) to develop a foundation model for predicting rare events in atomistic simulations. The project aims to leverage advances in artificial intelligence (AI) and computational materials science to create a general-purpose model that can accurately forecast rare phenomena like diffusion...
- This $2,000,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will accelerate the discovery of new superconducting materials through a transformative approach combining artificial intelligence (AI), quantum theory, and experimental synthesis. The research will integrate AI methods to predict superconductor properties and design novel, synthesizable materials with targeted superconducting and mechanical characteristics....
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program has awarded $500,000.00 to the Regents of the University of Minnesota, through the Office of Sponsored Projects Administration, to conduct research aimed at revolutionizing the discovery of new materials. The project, titled "ACED: ACCELERATING MATERIALS DISCOVERY BY LEARNING WITH PHYSICS-INFORMED CONSTRAINTS," seeks to address the limitations of current machine and...
- The National Science Foundation (NSF) awarded a $6,999,294 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin for the CHISHIKI.AI initiative. This 5-year project aims to build a sustainable, diverse, and integrated community of computational infrastructure (CI) professionals working at the intersection of artificial intelligence (AI) and civil/environmental engineering (CEE). The project will foster collaboration between...
- This $519,998 project grant, awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to revolutionize the discovery of new solid-state materials that can precisely control the mobility of ions and electrons. The University of California, San Diego (UCSD) will lead a collaborative research effort leveraging advanced artificial intelligence, machine learning, and automated synthesis tools to develop a data-driven approach for designing...
- This $300,000 EAGER (Early-concept Grants for Exploratory Research) award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a framework called XAISE (eXplainable Artificial Intelligence for Science and Engineering) to enhance the explainability of artificial intelligence (AI) models for scientific and engineering applications. The project seeks to design, develop, and implement XAISE to improve the explainability of...
- This National Science Foundation (NSF) Research Traineeship (NRT) Program award to Cornell University will develop an interdisciplinary graduate training and research program on Artificial Intelligence (AI) for Sustainability Sciences and Engineering (AISSE). The $3,000,000 grant, awarded on September 1, 2024, aims to cultivate a skilled workforce proficient in both AI and sustainability to address critical challenges such as climate change and decarbonization of energy and agri-food systems....
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program has awarded a $3,000,000 Cooperative Agreement to Cornell University to establish the AI Materials Institute (AI-MI). Through AI-MI, the institute aims to propel foundational AI research and accelerate the discovery of next-generation materials essential for sustainable energy, electronics, environmental stewardship, and quantum technologies. The project, with a period of performance from October 1, 2025, to September 30, 2030, will integrate data generation, AI inference, and rapid experimental feedback to reduce materials discovery cycles from months to days. AI-MI plans to create the AI Materials Science Ecosystem (AIMS-EC), an open, cloud-based portal that couples a science-ready large-language model with multimodal data streams, allowing researchers to pose natural-language queries and receive transparent, data-grounded answers for materials discovery and design.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 8/26/25 | ||
| Not listed | $2.0m | 7/28/25 |