Next-Value Prediction of Beam Waists From Mixed Pitch Grating Using Simplified Transformer Model
In this study, a simplified transformer model is used to predict the beam waist of 1,092 nm light coupled out from SiN-based mixed pitch gratings at various heights. The beam waists data at various heights above the grating is first compiled. Then, we used a sequence of the current beam waist values...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2024-01-01
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| シリーズ: | IEEE Photonics Journal |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10634767/ |
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| 要約: | In this study, a simplified transformer model is used to predict the beam waist of 1,092 nm light coupled out from SiN-based mixed pitch gratings at various heights. The beam waists data at various heights above the grating is first compiled. Then, we used a sequence of the current beam waist values, z-positions, and the computed mathematical indicators (features) to predict the next beam waist value (labels). Optimized transformer model yields average percentage error (APE) of 6.6% between the predicted and actual beam waists, which corresponds to 93.4% prediction accuracy. This study provides a pioneering approach to using natural language processing model to perform predictive modelling on photonics data, and possible extrapolation of photonics data using transformer model. |
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| ISSN: | 1943-0655 |