AI Unlocks Key to Enhanced Solar Panel Stability
University of Illinois researchers use AI and automated synthesis to improve photostability of solar energy molecules, achieving fourfold increase in stability.
- The interdisciplinary team combined AI with automated chemical synthesis and experimental validation.
- Their method, called closed-loop transfer, optimized light-harvesting molecules' photostability.
- Researchers identified chemical features predictive of stability, offering new insights for molecular design.
- The AI-driven process produced 30 new chemical candidates over five rounds of experimentation.
- This breakthrough addresses long-standing issues with the stability of organic solar cells.
ScienceDaily 