Our mission is to accelerate the discovery and optimization of advanced clean energy materials by developing self-driving laboratories that combine flexible automation with machine learning and computational screening.
Materials discovery is a key element of the innovation cycle for new technologies, particularly in the clean energy sector. However, discovering effective materials among a vast array of conceivable formulations can take decades using conventional approaches. The slow pace is costly, time-consuming, and inadequately addresses society’s urgent need for clean energy solutions. The fundamentally different approach behind self-driving laboratories offers the opportunity to deploy renewable energy technologies faster than ever before.