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Neural network-based emulation of nonlinear pulse propagation

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Abstract

We teach a feed-forward neural network the differential propagation dynamics of the generalized nonlinear Schrödinger equation, allowing for fast and memory-efficient emulation of nonlinear propagation scenarios in optical fibers from pulse compression to supercontinuum generation.

© 2022 The Author(s)

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