[HTML][HTML] A photonics perspective on computing with physical substrates
We provide a perspective on the fundamental relationship between physics and
computation, exploring the conditions under which a physical system can be harnessed for …
computation, exploring the conditions under which a physical system can be harnessed for …
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview
Artificial Neural Networks (ANNs) are transforming how we understand chemical mixtures,
providing an expressive view of the chemical space and multiscale processes. Their …
providing an expressive view of the chemical space and multiscale processes. Their …
Deep neural network-based phase calibration in integrated optical phased arrays
Calibrating the phase in integrated optical phased arrays (OPAs) is a crucial procedure for
addressing phase errors and achieving the desired beamforming results. In this paper, we …
addressing phase errors and achieving the desired beamforming results. In this paper, we …
Generative adversarial neural network for 3D-hologram reconstruction
SA Kiriy, DA Rymov, AS Svistunov… - Laser Physics …, 2024 - iopscience.iop.org
Neural-network-based reconstruction of digital holograms can improve the speed and the
quality of micro-and macro-object images, as well as reduce the noise and suppress the twin …
quality of micro-and macro-object images, as well as reduce the noise and suppress the twin …
Conditional recurrent neural networks for broad applications in nonlinear optics
We present a novel implementation of conditional long short-term memory recurrent neural
networks that successfully predict the spectral evolution of a pulse in nonlinear periodically …
networks that successfully predict the spectral evolution of a pulse in nonlinear periodically …
Machine Learning Based Automatic Mode-Locking of a Dual-Wavelength Soliton Fiber Laser
Recent years have witnessed growing research interest in dual-wavelength mode-locked
fiber lasers for their pivotal role in diverse applications and the exploration of nonlinear …
fiber lasers for their pivotal role in diverse applications and the exploration of nonlinear …
Methods Controlling Radiation Parameters of Mode-Locked All-Fiberized Lasers
S Kobtsev - Photonics, 2024 - mdpi.com
Fibre lasers are distinct in that their optical train is decoupled from the environment,
especially in the all-fibre format. The attractive side of this decoupling is the simplicity of …
especially in the all-fibre format. The attractive side of this decoupling is the simplicity of …
Phase screen prediction using deep phase network for FSO links
Due to the presence of air turbulence in free-space optical (FSO) links, random fluctuations
in wavefront phase and amplitude of the optical signal are reduced after it propagates …
in wavefront phase and amplitude of the optical signal are reduced after it propagates …
Multimode diffractive optical neural network
On-chip diffractive optical neural networks (DONNs) bring the advantages of parallel
processing and low energy consumption. However, an accurate representation of the optical …
processing and low energy consumption. However, an accurate representation of the optical …
Enhanced bi-LSTM for Modeling Nonlinear Amplification Dynamics of Ultra-Short Optical Pulses
K Saraeva, A Bednyakova - Photonics, 2024 - mdpi.com
Fiber amplifiers are essential devices for optical communication and laser physics, yet the
intricate nonlinear dynamics they exhibit pose significant challenges for numerical modeling …
intricate nonlinear dynamics they exhibit pose significant challenges for numerical modeling …