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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