arXiv Machine Learning July 8, 2026 By Yu Liu, Boris Slautin, Ian Mercer, Jon-Paul Maria, Sergei V. Kalinin

From Closed-Loop Optimization to Open Decision Making: Coupled Digital Twins for Predictive and Autonomous Microscopy

Read the original on arXiv Machine Learning →

arXiv:2607. 05758v1 Announce Type: cross Abstract: Automated experimentation is moving from closed-loop optimization toward open decision-making, where human or AI planners must forecast the consequences of candidate actions before executing them.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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