About

Overview

The Generative AI for Science and Engineering (GAISE) lab aims to advance scientific discovery and engineering innovation through state-of-the-art generative AI methods, with a particular emphasis on nuclear energy and material sciences. The lab’s primary objective is to develop foundational models integrating heterogeneous graph data, large-scale simulations, digital twins, and expert domain knowledge into comprehensive AI-driven analytical frameworks. These models will support rapid material discovery, autonomous operations, and intelligent safeguards that are critical to advanced energy systems such as nuclear fission and fusion.

The lab will foster interdisciplinary collaboration among experts in nuclear engineering, artificial intelligence, and computational materials science, driving ecosystem growth and workforce development. Ultimately, our integrative approach positions the lab to significantly contribute to energy security and dominance in both Texas and the United States.