AI for Science Accelerating Chemistry and Materials Discovery скачать в хорошем качестве

AI for Science Accelerating Chemistry and Materials Discovery

AI for Science: Accelerating Chemistry and Materials‬ Discovery Center for Information & Security Education and Research (CINSER) Chicago State University January 28th, 2026 Speaker: Dr. Muhammed Shuaibi Research Engineer, Fundamental AI Research (FAIR) in the Chemistry team at Meta. Abstract: Scientific discoveries have traditionally been constrained by costly and time-consuming experiments. Although computational advances now allow researchers to study atomic systems using quantum mechanical simulations, these methods remain limited by feasible time and length scales. In this discussion, we will explore how AI is accelerating research in materials and molecular science. We will highlight our team's recent progress, from building datasets to training large-scale models, and discuss key challenges that lie ahead for AI-driven scientific discovery.