Machine learning model speeds up assessing catalysts for decarbonization technology from months to milliseconds

Argonne researchers have developed an artificial intelligence-based model to greatly speed up the process for engineering a low-cost catalyst that converts biomass into fuels and useful chemicals with many possible applications.

Scientists turn single molecule clockwise or counterclockwise on demand

Argonne scientists report they can precisely rotate a single molecule on demand. The key ingredient is a single atom of europium, a rare earth element. It rests at the center of a complex of other atoms and gives the molecule many practical applications.

A glowing new prospect for self-reporting batteries

Argonne scientists have hit upon fluorescence as a way to shed light on what’s happening with flow batteries as they operate.