4 papers
Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network
Lauri Salmela, Nikolaos Tsipinakis, Alessandro Foi +3
The propagation of ultrashort pulses in optical fibre displays complex nonlinear dynamics that find important applications in fields such as high power pulse compression and broadb…
Machine learning analysis of rogue solitons in supercontinuum generation
Lauri Salmela, Coraline Lapre, John M. Dudley +1
Supercontinuum generation is a highly nonlinear process that exhibits unstable and chaotic characteristics when developing from long pump pulses injected into the anomalous dispers…
Low-noise octave-spanning mid-infrared supercontinuum generation in a multimode chalcogenide fiber
Zahra Eslami, Piotr Ryczkowski, Lauri Salmela +1
We demonstrate the generation of a low-noise, octave-spanning mid-infrared supercontinuum from 1700 to 4800 nm by injecting femtosecond pulses into the normal dispersion regime of…
Machine learning for prediction of extreme statistics in modulation instability
Mikko Närhi, Lauri Salmela, Juha Toivonen +3
A central area of research in nonlinear science is the study of instabilities that drive the emergence of extreme events. Unfortunately, experimental techniques for measuring such…