Datasetpublic

ClarusC64/euv-collector-failure-horizon-and-cleaning-routing-v0.1

Dataset purpose Predict the failure horizon of an EUV collector mirrorand route optimal cleaning intervention timing. A scanner does not fail instantly.Productivity collapses after coherence decay reaches a tipping point. This dataset maps the final phase: reflectivity declinepower transmission losscontamination growthcoherence drift Task Given system state, output: estimated_hours_to_failurecleaning_recommendedfailure_horizon_flag Why it matters… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/euv-collector-failure-horizon-and-cleaning-routing-v0.1.

sourceHugging Facemitupdated 8mo agoView on Hugging Face

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Dataset Card

Dataset purpose

Predict the failure horizon of an EUV collector mirror and route optimal cleaning intervention timing.

A scanner does not fail instantly. Productivity collapses after coherence decay reaches a tipping point.

This dataset maps the final phase:

reflectivity decline power transmission loss contamination growth coherence drift

Task

Given system state, output:

estimatedhourstofailure cleaningrecommended failurehorizonflag

Why it matters

Unplanned collector failure costs millions. Cleaning too early wastes uptime. Cleaning too late destroys yield.

Optimal routing preserves throughput.

Output format example

"Estimated failure in 60 hours. Cleaning recommended. Failure horizon forming."

Evaluation

Prediction must include:

time horizon intervention routing failure state flag

Position in series

Third layer of EUV collector mirror coherence trinity:

1.Baseline coherence mapping
2.Drift detection
3.Failure horizon and intervention routing

Version

v0.1