We are proud to announce the establishment of the Generative AI for Science and Engineering (GAISE) Lab, recently selected as a 2025 Thematic Lab by the Texas A&M Institute of Data Science (TAMIDS). Chosen through a highly competitive review process involving 15 exceptional proposals, the GAISE Lab positions our group at the forefront of AI-driven innovation.
Mission & Research Focus Led by Dr. Yang Liu, the GAISE Lab unites experts in nuclear engineering, computer science, and materials science to develop foundational AI models that integrate complex graph data, large-scale simulations, and expert domain knowledge.
Supported by TAMIDS seed funding and resources, the lab will pursue two primary pilot projects:
- Nuclear Foundation Models: Utilizing Large Language Models (LLMs) to streamline licensing, anomaly detection, and cyber-threat identification in advanced nuclear technologies.
- Materials Discovery: Developing Graph Network Foundation Models to enhance the accuracy and efficiency of predicting material properties, driving innovation in energy systems.
The Team This interdisciplinary initiative features collaboration between Dr. Liu and co-directors Dr. Shuiwang Ji (CSE), Dr. Raymundo Arróyave (MSEN), and Dr. Xiaofeng Qian (MSEN). Together, the GAISE Lab is dedicated to bolstering national energy security and training the next generation of the AI workforce.
Texas A&M Institute funded GAISE lab, which is a multidisciplinary