AI cracks the chemistry code for longer-lasting solar panels
Researchers at UIUC just combined AI closed-loop experimentation with automated synthesis to create light-harvesting molecules that are four times more photostable. Instead of stopping at the algorithm's picks, the team successfully extracted the chemical rules driving the decisions, effectively turning the AI black box into actionable scientific insight.