NEXT-VALUE PREDICTION OF BEAM WAISTS FROM MIXED PITCH GRATING USING SIMPLIFIED TRANSFORMER MODEL

Next-Value Prediction of Beam Waists From Mixed Pitch Grating Using Simplified Transformer Model

Next-Value Prediction of Beam Waists From Mixed Pitch Grating Using Simplified Transformer Model

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In this study, a simplified transformer model is used to predict the beam waist of 1,092 nm light coupled out from SiN-based tzora battery 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 b-0665-cr-bstr model to perform predictive modelling on photonics data, and possible extrapolation of photonics data using transformer model.

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