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

IF 2.1 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Photonics Journal Pub Date : 2024-08-13 DOI:10.1109/JPHOT.2024.3442169

Yu Dian Lim;Peng Zhao;Luca Guidoni;Jean-Pierre Likforman;Chuan Seng Tan

引用次数: 0

Abstract

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.

查看原文本刊更多论文

使用简化变压器模型对混合间距光栅的梁腰进行下一数值预测

本研究采用简化的变压器模型来预测从不同高度的氮化硅基混合间距光栅耦合出来的 1,092 nm 光的光束腰。首先汇编光栅上方不同高度的光束腰数据。然后，我们使用当前光束腰值、z-位置和计算数学指标（特征）的序列来预测下一个光束腰值（标签）。优化后的变压器模型得出的预测光束腰值与实际光束腰值之间的平均百分比误差（APE）为 6.6%，相当于 93.4% 的预测准确率。这项研究提供了一种使用自然语言处理模型对光子学数据进行预测建模的开创性方法，以及使用转换器模型对光子学数据进行推断的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Photonics Journal ENGINEERING, ELECTRICAL & ELECTRONIC-OPTICS

CiteScore

4.50

自引率

8.30%

发文量

489

审稿时长

1.4 months

期刊介绍： Breakthroughs in the generation of light and in its control and utilization have given rise to the field of Photonics, a rapidly expanding area of science and technology with major technological and economic impact. Photonics integrates quantum electronics and optics to accelerate progress in the generation of novel photon sources and in their utilization in emerging applications at the micro and nano scales spanning from the far-infrared/THz to the x-ray region of the electromagnetic spectrum. IEEE Photonics Journal is an online-only journal dedicated to the rapid disclosure of top-quality peer-reviewed research at the forefront of all areas of photonics. Contributions addressing issues ranging from fundamental understanding to emerging technologies and applications are within the scope of the Journal. The Journal includes topics in: Photon sources from far infrared to X-rays, Photonics materials and engineered photonic structures, Integrated optics and optoelectronic, Ultrafast, attosecond, high field and short wavelength photonics, Biophotonics, including DNA photonics, Nanophotonics, Magnetophotonics, Fundamentals of light propagation and interaction; nonlinear effects, Optical data storage, Fiber optics and optical communications devices, systems, and technologies, Micro Opto Electro Mechanical Systems (MOEMS), Microwave photonics, Optical Sensors.