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Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs

2025 Datasets
Preview for Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs

Dataset Analysis

Self-driving laboratories (SDLs) have shown promise to accelerate materials discovery by integrating machine learning with automated experimental platforms. However, errors in the capture of input parameters may corrupt the features used to...

Provenance

Collected from papers.

Derived from paper: Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs

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LGdata-an