Cooperative Agreement 2607526
- The National Science Foundation Division of Materials Research awarded Cornell University a $4 million cooperative agreement on October 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to advance artificial intelligence-driven materials discovery through the AI Materials Institute (AI-MI). The award funds development of the AI Materials Science Ecosystem (AIMS-EC), an open, cloud-based platform coupling a science-ready large-language model with multimodal data...
- The National Science Foundation awarded the Research Foundation of the City University of New York $4,667,934 under a Cooperative Agreement on August 1, 2026, to establish and operate AI-BIOME, a cloud-programmable national laboratory for AI agent-driven discovery, design, and production of advanced biomaterials through autonomous experimentation, robotics, and artificial intelligence. AI-BIOME will integrate AI agents, robotic cloud laboratories, and advanced characterization within a shared...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded The Johns Hopkins University $120,500 on October 1, 2026, for the collaborative research project "Agentic Fair: Context, Skills, and Benchmarks for Trustworthy, Reproducible Materials Research" under the Computer and Information Science and Engineering program (CFDA 47.070). The project establishes technical foundations for trustworthy agentic science in materials research through three coupled elements:...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Johns Hopkins University $520,028 on October 1, 2026, under the Engineering program (CFDA 47.041) for research developing mathematical foundations that integrate machine learning with discrete optimization algorithms. The research investigates the fundamental interplay between mixed-integer optimization, discrete geometry, and machine learning. The project will develop new mathematical tools...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $357,069 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop interpretable artificial intelligence systems that help researchers identify cross-cutting connections across the scientific literature and accelerate discovery. The project creates large language model-based frameworks designed to recognize structural...
- The National Science Foundation awarded Rice University a $4.977 million Cooperative Agreement on August 1, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an AI-driven autonomous materials synthesis platform for next-generation semiconductor and advanced electronic and quantum materials. Rice University will establish a Programmable Cloud Laboratory (PCL) node that integrates robotics, simulations, and automated experiments coordinated by AI...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Johns Hopkins University $389,092 for a Project Grant effective July 1, 2026 through June 30, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds research on scalable and observable multicast networking for artificial intelligence datacenters. The project develops three integrated technical thrusts: a scalable data plane using topology-aware algorithms...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Washington a $1 million cooperative agreement on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI technologies for complex engineering system design, testing, manufacturing, and operation. The institute will create physics-aware machine learning and AI tools to accelerate aerospace and advanced manufacturing development by enabling...
- The National Science Foundation awarded Georgia TECH Research Corp a $5 million cooperative agreement on August 1, 2026, to establish and operate the Programmable Cloud Laboratories—Artificial Intelligence for Manufacturing and Materials Pilot Facility Node (PCL-AIMMPF), one node in a national network of autonomous, web-accessible laboratories that enable U.S. researchers to deploy AI-driven workflows for discovering and scaling new materials and manufacturing technologies. The PCL-AIMMPF...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $2 million cooperative agreement to Texas A&M Engineering Experiment Station on September 1, 2026, to establish and operate the Autonomous Robotic Metallurgist Materials Innovation Platform (ARM-MIP) at Texas A&M University, an open-access national user facility for alloy discovery and development. The award funds a six-year period of performance through August 31, 2032. ARM-MIP designs,...
The National Science Foundation awarded The Johns Hopkins University a $5 million cooperative agreement on August 1, 2026, under the NSF Technology, Innovation, and Partnerships program to develop the AI for Materials Design Network (AIMD-Net), a national test bed of programmable cloud laboratories combining automated robotic experimentation with distributed artificial intelligence. AIMD-Net addresses the challenge of scaling autonomy from individual instruments and laboratories to achieve coordinated AI-driven decisions and real-time information flow across a network of cloud laboratories. The project delivers a data infrastructure and information exchange layer comprising three integrated components: a scalable, event-driven cyberinfrastructure for real-time cross-site data and information exchange; a modular multi-agent decision fabric using shared uncertainty quantification schemas to support information flows between AI decision makers and agentic workflows; and a semantically complete exchange protocol for data standardization. The network will accelerate development of structural materials for extreme environments in defense, transportation, and energy applications and train the next generation of scientists and engineers in AI-driven research methodologies. Performance occurs at Baltimore, Maryland from August 1, 2026 through July 31, 2030. The funding agency obligated $5 million to the award.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $5.0m | 7/21/26 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
2007412332S | Fordham University | Cooperative Agreement 2607526 | $35.0k | 9/11/26 |