UC-LEAP Workshop Hosted at UCSB

Low-Energy, AI-Informed Phase Transitions (LEAP)

The University of California recently awarded $6 million to a multicampus research grant, in partnership with UC-managed national laboratories, to advance Low-Energy, AI-Informed Phase Transitions (LEAP). The goals of LEAP are to accelerate research into more efficient AI — with help from AI. Using a mix of theory, real-world data and simulations, we will train a large language model AI designed to simulate the effectiveness of topological materials for computing. By narrowing the field of materials that will be tested in the lab, this AI could speed up the discovery of new chip materials that switch faster and use less energy. The kickoff meeting for this research grant was held on August 6^th 2025 and was hosted by the Eddleman Quantum Institute at UC Santa Barbara.