AI-driven autonomous discovery: self-driving labs, robotic experimentation, and closed-loop AI scientists that hypothesize, simulate, synthesize, and generate fresh physical-world data.
Machine learning interatomic potentials explained: MACE, foundation potentials, and GNoME-class screening that narrows the search before robots run experiments.
