This research develops Roblonski, a compact robotic platform that automates photoredox chemistry using microscopic droplets and visible light. By reducing chemical use, waste, and manual effort by over 90%, it generates high-quality data for AI-driven discovery, paving the way for faster, greener, and more intelligent self-driving chemistry laboratories.

This research develops stable, low-cost homogeneous reductants that act like “super glue” for chemical bond formation. By replacing unpredictable metal powders, it enables more efficient, scalable, and affordable chemical synthesis, with major implications for pharmaceuticals, advanced materials, and sustainable industrial chemistry.