Datasets:
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README.md
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- **Columns**: 25 structured columns capturing waveguide geometry, fabrication method, operational conditions, and measured/synthetic performance metrics
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- **Size**: 90,000 rows (ideal for both training and validation splits)
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- **Use Cases**:
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- Waveguide loss prediction
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- Process control and optimization
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- Photonic design parameter studies
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- Synthetic data augmentation for AI/ML tasks
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- **Columns**: 25 structured columns capturing waveguide geometry, fabrication method, operational conditions, and measured/synthetic performance metrics
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| 79 |
- **Size**: 90,000 rows (ideal for both training and validation splits)
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- **Use Cases**:
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- Straight and Bent Waveguide loss prediction
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- Process control and optimization
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| 83 |
- Photonic design parameter studies
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| 84 |
- Synthetic data augmentation for AI/ML tasks
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