Description
Datasets for "Bayesian Optimized Design for O-band Bottom-up Grown Microring Lasers"These datasets support the multi-objective Bayesian optimization (MOBO) of bottom-up grown InP/InAsP multi-quantum well (MQW) microring lasers. The optimization focuses on three key objectives: minimizing the lasing threshold, targeting O-band lasing wavelengths, and maximizing yield. They include microring growth and geometry parameters, performance metrics, and power-dependent photoluminescence (PL) spectroscopy data. The datasets are organized into three components: (1) the training dataset, (2) the optimized and Design of Experiments (DoE) dataset, and (3) the remeasurement dataset.1. Model Training DatasetFile: 'Training_Dataset.pkl' This dataset was used to train the surrogate model used in the optimization process. Contents:Growth Parameters:Number of quantum wells Quantum well growth temperatureAs/P ratio (estimated from precursor flow rates in the vapor phase)V/III ratio during InP barrier growthCapping layer growth durationGeometry Parameters:MQW Microring diameterPitch (center-to-center spacing between MQW microrings)Performance Metrics:Median lasing threshold across a field (a group of nominally identical MQW microrings)Median lasing wavelength across a fieldYield: Ratio of lasing MQW microrings to total MQW microrings in the fieldAssociated Data:Lasing threshold and wavelength values were derived from power-dependent PL spectroscopy.Power-dependent PL spectroscopy data: 'Training_pdep.h5'Metadata (e.g., experimental conditions, instrument settings): 'settings_training.h5'2. Optimized and DoE DatasetFile: 'Opt_&_DoE_Dataset.pkl' This dataset contains measurements from MQW microring structures designed through two approaches: MOBO and a structured DoE strategy. Contents:Growth and Geometry Parameters:Same structure and format as in the training datasetPerformance Metrics:Identical to those in the training dataset.Associated Data:Power-dependent PL spectroscopy data: 'Opt_&_DoE_pdep.h5'Metadata (e.g., experimental conditions): 'settings_Opt_DoE_remeasurements.h5'3. Remeasurement DatasetThis dataset includes remeasurements of the best-performing MQW microring sample from the training dataset. These remeasurements serve to validate the consistency and reproducibility of lasing threshold and wavelength performance under updated experimental conditions.Files:'remeasured_pdep.h5': Power-dependent PL spectroscopy data'remeasured_sample_D.pkl': Summary of lasing threshold, wavelength and yield'settings_Opt_DoE_remeasurements.h5': Metadata Simultaneous improvements in all three performance metrics were observed in the optimized MQW microring lasers, validating the effectiveness of the MOBO framework.
Date made available | 20 Jun 2025 |
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Publisher | University of Manchester Figshare |
Keywords
- Integrated Photonics
- III-V Microring Lasers
- High-throughput Characterization
- Multi-objective Bayesian Optimization
- Design of Experiments