Conveners
Plenary Session 1: AI-Powered Materials Discovery
- Kurt Hackemer
In this talk, I will discuss a coarse-grained, statistical (probabilistic) representation of the potential energy surface (PES) of solid-state systems we have recently developed. It is constructed using a combination of the first-principles random structure sampling and structure transformation modeling. The random structure sampling identifies statistically relevant (i.e., more probable)...
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...
