Hayden Perry

Abstract Self-driving laboratories enable accelerated exploration of chemical and materials spaces by coupling automated experimentation with machine-learning-guided decision making. However, extending autonomous discovery to compositionally complex materials with multiple coupled reaction pathways remains a significant challenge.