MEM-C IRG-2 gathered last Friday to hold an AI Core roundtable. Students and postdocs from 7 groups presented lightning, pitch talks to brainstorm ways machine learning could assist in critical breakthroughs in material science research. The roundtable was co-hosted by Ting Cao, Assistant Professor UW MSE & Associate Vice Provost for Research Cyberinfrastructure, and Kevin Jamieson, Associate Professor UW Allen School of Computer Science & Engineering. Both Prof. Cao & Prof. Jamieson received MEM-C seed awards in 2023 for MEM-C AI Core research.
The lightning talks covered a wide range of MEM-C IRG-2 research areas. The Cao group proposed leveraging large atomic models to investigate more complex multiscale moiré structures. The Xu group pitched the idea of using ML’s image segmentation capabilities to accelerate flake identification and layer determination for 2D materials. Similarly, the Yankowitz group discussed ways ML could be incorporated into STM, and the Idrobo group suggested ideas for ML/AI integration for STEM. The group also heard from the Chu, Velian and Eley groups. The session ended with an overview of the Jamieson group’s research areas and a general discussion about next steps.
