Project Grant 2542832
- Federal Grant Award Summary The National Science Foundation's Division of Physics awarded a CAREER (Faculty Early Career Development) grant totaling $400,000 to the University of California, Irvine, effective July 1, 2026, through June 30, 2031, under the Mathematical and Physical Sciences program (CFDA 47.049). This project grant supports the development of precision theoretical tools and computational frameworks to reduce fundamental uncertainties in neutrino physics research. The primary...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Physics awarded $540,000 to the University of California, Berkeley under the Mathematical and Physical Sciences program (CFDA 47.049) beginning September 1, 2025 and concluding August 31, 2028. This Project Grant supports theoretical physics research conducted by Professors Hitoshi Murayama and Lawrence J. Hall that aims to connect experimental data from major research facilities with overarching theoretical...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Physics awarded $640,000 to the University of California, San Diego under the Mathematical and Physical Sciences program (CFDA 47.049) on June 15, 2025, for a project concluding May 31, 2028. This collaborative research initiative, conducted jointly with General Atomics and the Extreme Light Infrastructure – Nuclear Physics (ELI-NP) facility in Romania, focuses on developing gamma-ray sources through high-intensity...
- Federal Project Grant Award Summary The National Science Foundation's Directorate for Mathematical and Physical Sciences (CFDA 47.049) awarded the University of New Mexico $360,405 on June 15, 2025, for a CAREER (Faculty Early-Career Development Program) project extending through May 31, 2030. The award supports the development of artificial intelligence and machine learning (AI/ML)-based computational tools designed to accelerate the investigation of dark matter and dark energy—the invisible...
- Federal Grant Award Summary The National Science Foundation's Division of Physics awarded a CAREER grant of $452,953 to University of Massachusetts Boston, effective September 1, 2025 through August 31, 2030, under the Mathematical and Physical Sciences (CFDA 47.049) program. The project delivers quantitative computational frameworks and numerical tools for predicting the time-dependent behavior of strongly correlated Fermi systems, a capability critical for advancing quantum material...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of California, San Diego, effective August 1, 2025 through July 31, 2028. This collaborative research initiative focuses on developing theoretical frameworks and mathematical tools to advance understanding of flow-based and diffusion generative models—a rapidly expanding category of artificial intelligence (AI)...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant under the Engineering program (CFDA 47.041) to the University of California, Santa Barbara, effective April 15, 2026, through March 31, 2031. This project grant supports foundational research and algorithm development in Large Language Model (LLM) watermarking techniques designed to embed hidden, decodable signals into AI-generated text. The...
- Federal Grant Award Summary The National Science Foundation's Division of Physics awarded $280,000 to the University of Illinois under the Mathematical and Physical Sciences program (CFDA 47.049) to develop gravitational wave astrophysics research models and data analysis capabilities. The primary deliverables include ready-to-use gravitational wave models and artificial intelligence-enhanced data analysis algorithms designed to extract detailed information about matter and gravity in extreme...
- Federal Project Grant Award Summary UC San Diego received a $381,276 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems (CISE program, CFDA 47.070) effective June 15, 2025, through May 31, 2030. The project delivers advanced machine reasoning capabilities by systematically integrating world models into the design, training, and application of next-generation reasoning algorithms. The research focuses on three primary innovation areas: new...
- Federal Project Grant Award Summary UC Berkeley received a $320,000 Project Grant from the National Science Foundation's Division of Physics under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025 through August 31, 2027. This collaborative research award supports the HAYSTAC (Haloscope At Yale Sensitive to Cold Dark Matter) experiment, a leading scientific initiative focused on detecting axions as candidates for dark matter. The project delivers...
The National Science Foundation's Division of Physics awarded a CAREER grant of $400,179 to the University of California, San Diego on May 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049). The project, extending through April 30, 2031, focuses on developing artificial intelligence (AI) algorithms and techniques to detect extremely rare physics events that address fundamental questions about matter-antimatter asymmetry and dark matter detection. The primary deliverables include integration of spatiotemporal neural networks (KAMNet) into the final analysis of the KamLAND-Zen experiment to establish world-leading limits on neutrinoless double-beta decay, design and deployment of a hardware-accelerated dual-agent AI system to support the next-generation KamLAND2-Zen detector construction, and development of large language model (LLM)-powered AI agents and surrogate models to optimize the design and analysis of the XLZd dark matter detector. In addition to core research deliverables, the project includes significant workforce development and education components through the Rare AI for Science Ecosystem (RAISE), a student-led platform designed to cultivate an interdisciplinary AI workforce. This initiative teaches AI methodologies to physics students while engaging data science students in physics research, creating "data physicists" capable of bridging disciplinary gaps. RAISE features popular science content and LLM-assisted tutorials to support these educational objectives, advancing the broader impact mission of NSF's Mathematical and Physical Sciences program by developing the next generation of researchers equipped with advanced computational and AI capabilities.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.2k | 5/15/26 |