Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for sustainable energy applications.
Researchers develop a PtCo/MXene catalyst that cuts platinum use and boosts hydrogen production efficiency with strong durability in acidic conditions.
By targeting oxidative stress and boosting energy production, flower-shaped nanoparticles show promise for treating neurodegenerative diseases at their root.