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Inverse Design of Bend-Resistant Photonic Crystal Fibers Based on DNN With Feature Analysis

In this paper, a bend-resistant photonic crystal fiber inverse design using a deep neural network (DNN) with feature analysis is proposed for higher efficiency. First, a DNN model is trained to design structures of the bend-resistant PCF according to the given optical performance. Then, Shapley addi...

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Principais autores: Dan Yang, Zhenzhen Ma, Hong Liu, Jiaqi Liu, Bin Xu
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2026-01-01
סדרה:IEEE Photonics Journal
נושאים:
Photonic crystal fiber
inverse design
DNN
SHAP
XAI
גישה מקוונת:https://ieeexplore.ieee.org/document/11271800/
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