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Standard geometric priors in autonomous scattering experiments systematically misassign nanoparticle morphology and size, a failure mode resolved here by embedding real-time ML-potential relaxation directly into the live data-collection loop.
Electrochemical and catalytic interfaces have long been an unaddressed blind spot for atomistic ML; 15.4 million ab initio configurations now supply the training scale required to model them accurately.