InP/InAsP Microring Laser Data for Multi-Objective Bayesian Optimization

1.9 GB of datasets linking epitaxial growth conditions, device geometry, and lasing performance for InP/InAsP multi-quantum well microring lasers. The data includes optical microscopy images, binarized ring images, and field-level statistics for variance-aware optimization. Mihir Rajendra Athavale published this dataset on figshare in 2026.

Use Cases

• Training a variational autoencoder for morphology–performance correlation analysis based on optical and binarized microring images.
• Multi-objective Bayesian optimization for variance reduction based on field-level lasing threshold, wavelength, and yield metrics.
• Analyzing correlations between quantum well growth temperature, As/P ratio, and lasing threshold based on the provided growth parameters.
• Studying the impact of microring diameter and pitch on median lasing wavelength based on geometry parameters.

Strengths

• Dataset size is 1.9 GB, indicating substantial data volume.
• Links multiple domains: epitaxial growth conditions, device geometry, morphology, and lasing performance.
• Includes both tabular data and optical microscopy images, enabling multimodal analysis.

Limitations

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

Provenance

Source

figshare

Collection Method

Likely collected from experimental fabrication and characterization of on-chip lasers.

Freshness

Last updated 2026-05-05 13:30:02; freshness should be verified.