The U.S. Department of Energy's Office of Science has awarded a $1,050,000 project grant under the Office of Science Financial Assistance Program (CFDA 81.049) to Yale University. The grant, titled "FEDNEMO: PHYSICS-INFORMED AND ENERGY-AWARE FEDERATED LEARNING OF NEURAL MULTI-OPERATOR LEARNERS AS SCIENTIFIC FOUNDATION MODELS," will fund a research project to develop advanced machine learning models that can be applied to scientific problems in a federated, energy-efficient manner. The project aims to advance the state of the art in physics-informed and energy-aware federated learning techniques, which could have broad applicability in fields such as quantum information science, climate modeling, and materials research. The award period runs from Sep 1, 2024 to Aug 31, 2025.
Generated 2/25/25, 4:17 AM