Material Properties is a dataset by Junkai Yao, published on figshare in April 2026. It contains simulation results for optimizing oblique capsule-shaped ribs in micro-channels to cool high-power laser diodes. The dataset is 5.5 KB in size and is provided in an XLS file format.
Use Cases
- Training surrogate models for thermal-hydraulic performance based on geometric parameters like Lr, Wr, Hr, and Ls.
- Optimizing fin shape and dimensions to maximize Nusselt number (Nu) and minimize thermal resistance (R_TH).
- Analyzing the trade-off between heat transfer enhancement and pressure drop (f) increase for different rib configurations.
- Validating computational fluid dynamics (CFD) simulations against the provided performance metrics.
Strengths
- Specific performance metrics are provided, including a 20.2% increase in Nusselt number and an 8.3% decrease in thermal resistance for an optimized configuration.
- The dataset is associated with a published research methodology integrating CFD, genetic algorithms, Gaussian process regression, and deep neural networks.
- It is openly licensed under CC-BY-4.0.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small at 5.5 KB, indicating a limited scope of data points.
Provenance
- Source
- Junkai Yao via figshare.
- Collection Method
- Data likely generated from computational fluid dynamics (CFD) simulations and optimization algorithms.
- Time Range
- null
- Freshness
- Last updated 2026-04 17:43:04; freshness should be verified.
- Geography
- null