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Autonomous adaptive spectral analysis with an LLM agent for self-driving laboratories
Self-driving laboratories accelerate materials exploration through autonomous closed-loop integration of synthesis, characterization, and next-experiment selection. However, characterization does not always directly provide the target property; measured spectra or images often require automated anal
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