AI RESEARCH

Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy

arXiv CS.LG

ArXi:2603.16715v1 Announce Type: new Modern automated microscopy faces a fundamental discovery challenge: in many systems, the most important scientific information does not reside in the immediately visible image features, but in the target space of sequentially acquired spectra or functional responses, making it essential to develop strategies that can actively search for new behaviors rather than simply optimize known objectives.