Breakthrough enables 'self-driving labs' to accelerate materials discovery tenfold
 
                Summary
Researchers unveil a groundbreaking 'self-driving lab' technique that accelerates materials discovery tenfold by continuously varying and monitoring chemical mixtures in real-time, enabling smarter and faster machine learning predictions while dramatically expediting research and slashing costs.
Key Points
- Researchers demonstrate a new technique allowing 'self-driving laboratories' to collect at least 10 times more data than previous techniques at record speed
- The advance dramatically expedites materials discovery research while slashing costs and environmental impact
- The new approach utilizes dynamic flow experiments where chemical mixtures are continuously varied and monitored in real-time, enabling smarter and faster machine-learning predictions