Project Grant 2540679
- Federal Project Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded the Regents of the University of Minnesota a $300,000 project grant (CFDA 47.041, Engineering program) on October 15, 2025, for collaborative research on diffractive optical neural networks (DONNs). The primary deliverable is the development of specialized, ultrathin photonic-based computing systems composed of engineered nanostructures that manipulate light...
- This $400,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will support the development of energy-efficient quantum materials-based magnetic tunnel junctions (MTJs) for unconventional computing applications. The international, multi-institutional research team from the University of Minnesota, Indian Institute of Technology Ropar, and Indian Institute of Technology Delhi will conduct theoretical research, materials synthesis, and advanced...
- Federal Grant Award Summary The University of Illinois received a $550,000 CAREER (Faculty Early Career Development) award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective June 1, 2026 through May 31, 2031. This project grant supports fundamental research aimed at developing quantum memory systems that enhance coherence in superconducting qubits—a leading platform for quantum computation....
- Federal Grant Award Summary Missouri University of Science & Technology received a $275,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041), effective October 1, 2025, through September 30, 2027. This collaborative research initiative focuses on developing a novel, environmentally sustainable processor-in-memory computing system utilizing carbohydrate-based memristors. The primary deliverables include the design, fabrication, testing, and...
- Federal Project Grant Award Summary The University of Illinois received a $587,981 National Science Foundation (NSF) CAREER award, obligated on August 15, 2026, under the Engineering program (CFDA 47.041) to develop energy-efficient artificial intelligence (AI) models for virtual sensing in dynamic energy systems. The project, scheduled for completion on July 31, 2031, will deliver compact foundation models capable of inferring internal system states—such as temperature, voltage, and power...
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $550,000 CAREER grant (CFDA 47.041, Engineering program) to the University of Tennessee beginning June 1, 2026, with completion targeted for May 31, 2031. This five-year project grant delivers research and development in superconducting logic systems designed to address energy efficiency and scalability constraints in advanced computing platforms, including artificial intelligence...
- Federal Project Grant Award Summary The University of Arizona received a five-year project grant award of $599,980 from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective July 1, 2025. This CAREER award supports the development of moire synaptic transistors (MSTs) utilizing two-dimensional (2D) materials to advance neuromorphic computing hardware capable of processing complex analog data with...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $255,237 to the University of Minnesota under the Mathematical and Physical Sciences (CFDA 47.049) program for a collaborative research project running from September 1, 2025, through August 31, 2028. This project focuses on developing acceleration and preconditioning methods to optimize deep learning (artificial intelligence) model training processes. The research leverages numerical...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded a $550,000 CAREER (Faculty Early Career Development) grant to the University of Texas at Austin effective June 1, 2026, through May 31, 2031. This project grant, funded under the Engineering program (CFDA 47.041), supports research to develop Josephson Junction Field Effect Transistors (JJFETs) as a foundational technology for modular quantum computing architectures. The...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $1.0 million Project Grant (CFDA 47.070: Computer and Information Science and Engineering) to the Regents of the University of Michigan, commencing September 1, 2025, and concluding August 31, 2029. This collaborative research initiative develops MemWise, an intelligent tiered memory management system designed to enhance data center efficiency and extend hardware...
The Regents of the University of Minnesota received a $550,000 CAREER award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective June 1, 2026 through May 31, 2031. The project will develop superconducting magnetic random-access memory (SC-MRAM) technology designed to dramatically reduce energy consumption in artificial intelligence and data center operations. The primary deliverables include demonstration of a novel cryogenic memory device that leverages superconducting currents for zero-resistance read and write operations, integrated research across materials development, physical mechanism investigation, and device engineering, and establishment of a scalable pathway toward high-performance cryogenic memory systems that could enable a paradigm shift toward energy-efficient data centers. In addition to the core technical research, the award supports an educational component titled Personalized Education with Artificial Intelligence for Quantum Engineering (PEAQ) designed to modernize cross-disciplinary workforce training at the intersection of electrical engineering and quantum technologies. Deliverables under this educational initiative include AI-assisted personalized curriculum design, development of intelligent interactive textbooks, and community outreach programs to increase quantum literacy among the general public. The project specifically addresses the exponentially growing electricity demands of AI and machine learning applications, which are projected to consume up to 12% of total U.S. electricity by 2028.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $550.0k | 4/14/26 |