Speaker
Description
Artificial intelligence (AI) is reshaping the future of materials science by enabling faster, smarter, and more targeted discovery and design of new materials. This open talk will introduce key concepts in AI-driven materials research, highlight successful applications across fields such as energy, semiconductors, and biomedical materials, and examine critical challenges including data scarcity, model interpretability, and experimental validation.
In addition, the talk will outline the goals and objectives of the AI-Powered Materials Discovery at Great Plains workshop—namely, to build interdisciplinary connections, accelerate AI adoption in the materials community, and explore opportunities for collaborative research and funding. Designed to engage attendees from diverse backgrounds, this session will provide a shared foundation for participants and set the stage for meaningful discussion and innovation throughout the workshop.
