Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network
The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …
of light sources and photonic technologies, with applications from fundamental studies of …
[HTML][HTML] Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks
Spatiotemporal nonlinear interactions in multimode fibers are of interest for beam shaping
and frequency conversion by exploiting the nonlinear interaction of different pump modes …
and frequency conversion by exploiting the nonlinear interaction of different pump modes …
[HTML][HTML] Customizing supercontinuum generation via on-chip adaptive temporal pulse-splitting
Modern optical systems increasingly rely on complex physical processes that require
accessible control to meet target performance characteristics. In particular, advanced light …
accessible control to meet target performance characteristics. In particular, advanced light …
Controllable spatiotemporal nonlinear effects in multimode fibres
Multimode fibres are of interest for next-generation telecommunications systems and the
construction of high-energy fibre lasers. However, relatively little work has explored …
construction of high-energy fibre lasers. However, relatively little work has explored …
Dynamics of femtosecond supercontinuum generation in multimode fibers
We solve a system of generalized nonlinear Schr¨ odinger equations to study the nonlinear
dynamics of ultrashort pulse propagation in multimode fibers. Due to pulse walk-off …
dynamics of ultrashort pulse propagation in multimode fibers. Due to pulse walk-off …
[HTML][HTML] Deep learning of ultrafast pulses with a multimode fiber
Characterizing ultrashort optical pulses has always been a critical but difficult task, which
has a broad range of applications. We propose and demonstrate a self-referenced method …
has a broad range of applications. We propose and demonstrate a self-referenced method …
Modulation control and spectral shaping of optical fiber supercontinuum generation in the picosecond regime
Numerical simulations are used to study how fiber supercontinuum generation seeded by
picosecond pulses can be actively controlled through the use of input pulse modulation. By …
picosecond pulses can be actively controlled through the use of input pulse modulation. By …
Noise amplification during supercontinuum generation in microstructure fiber
Supercontinua generated by femtosecond pulses launched in microstructure fiber can
exhibit significant low-frequency (< 1‐MHz) amplitude noise on the output pulse train. We …
exhibit significant low-frequency (< 1‐MHz) amplitude noise on the output pulse train. We …
Physics‐Informed Neural Network for Nonlinear Dynamics in Fiber Optics
A physics‐informed neural network (PINN) that combines deep learning with physics is
studied to solve the nonlinear Schrödinger equation for learning nonlinear dynamics in fiber …
studied to solve the nonlinear Schrödinger equation for learning nonlinear dynamics in fiber …
Fundamental limits to few-cycle pulse generation from compression of supercontinuum spectra generated in photonic crystal fiber
The fundamental limits to the compressibility of broadband supercontinuum spectra
generated in photonic crystal fiber are examined using numerical simulations based on a …
generated in photonic crystal fiber are examined using numerical simulations based on a …