Intensifying automated materials discovery via self-driving laboratories hinges on their ability to learn, generalize and extrapolate from limited data. Now, dynamic flow experiments enable real-time, continuous data capture across broad synthesis spaces by continuously mapping transient flows to their steady-state equivalents, accelerating discovery while reducing chemical consumption and experimental time.
- Mahshid Ahmadi
- Sergei Kalinin
