0000000000265249
AUTHOR
Lauri Salmela
Predicting ultrafast nonlinear dynamics in optical fiber using neural networks
We show how neural networks can be used to model complex and predict nonlinear propagation dynamics in optical fibres for a widerange of input conditions and fibre systems, including pulse compression, ultra-broadband supercontinuum generation, and multimode fiber systems. Our results open up novel perspectives to model and optimize complex nonlinear dynamics and systems.
Data-driven Discovery of the Ideal Four Wave Mixing Modelin Nonlinear Fiber Optics
We use the machine learning technique of spars eregression to “reverseengineer” dynamical data to discover the underlying physical model of four wave mixing in nonlinear fibre optics.