Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling method

  title={Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling method},
  author={Hang Yang and Haocheng Zhao and Zekun Niu and Guoqing Pu and Shilin Xiao and Weisheng Hu and Lilin Yi},
  journal={Optics Express},
, Abstract: The modeling and prediction of the ultrafast nonlinear dynamics in the optical fiber are essential for the studies of laser design, experimental optimization, and other fundamental applications. The traditional propagation modeling method based on the nonlinear Schrödinger equation (NLSE) has long been regarded as extremely time-consuming, especially for designing and optimizing experiments. The recurrent neural network (RNN) has been implemented as an accurate intensity prediction… 

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