Statistic_none.txt: 10,000 Coating Simulation Layer Thickness Errors

10,000 lines of simulated layer thickness errors in nanometers, generated by Alexander V. Tikhonravov. The data is produced by a coating simulation using a level monitoring algorithm, intended for comparison with another algorithm.

Use Cases

• Compare coating simulation algorithms based on layer thickness error metrics.
• Analyze the distribution of manufacturing errors in optical coatings based on simulation data.
• Validate the performance of level monitoring algorithms in thin-film deposition simulations.

Strengths

• Contains 10,000 lines of data, providing a substantial sample for analysis.
• Each line contains 36 specific measurements (layer thickness errors), offering multi-dimensional data points.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Alexander V. Tikhonravov via paperswithcode.

Collection Method

Generated via coating simulation using a level monitoring algorithm.