How AI is driving R&D productivity

Autonomous laboratories, also known as self-driving labs, have emerged as a powerful strategy to accelerate chemical discovery. By highly integrating different key parts including artificial intelligence (AI), robotic experimentation systems and automation technologies into a continuous closed-loop cycle, autonomous laboratories can efficiently conduct scientific experiments with minimal human intervention.

Self‑driving laboratories are transforming scientific research by combining AI, robotics, and automation to design, run, and analyze experiments autonomously.

Ruthenium oxides (RuOx) are promising alternatives to iridium catalysts for the oxygen-evolution reaction in proton-exchange membrane water electrolysis but lack stability in acid. Alloying with other elements can improve stability and performance but enlarges the search space.