Alexey Kokhanovskiy
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View article: Progress and Perspectives of Physics-Informed Neural Networks for Tribological Applications with Multiphysics Awareness
Progress and Perspectives of Physics-Informed Neural Networks for Tribological Applications with Multiphysics Awareness Open
Recent advancements in the field of physics-informed neural networks (PINNs) hold great potential for solving the tribology-related problems, and areas for their applications are systematically reviewed in this article. The tribological ap…
View article: Random Raman Lasing in Diode-Pumped Multi-Mode Graded-Index Fiber with Femtosecond Laser-Inscribed Random Refractive Index Structures of Various Shapes
Random Raman Lasing in Diode-Pumped Multi-Mode Graded-Index Fiber with Femtosecond Laser-Inscribed Random Refractive Index Structures of Various Shapes Open
Diode-pumped multi-mode graded-index (GRIN) fiber Raman lasers provide prominent brightness enhancement both in linear and half-open cavities with random distributed feedback via natural Rayleigh backscattering. Femtosecond laser-inscribed…
View article: Inverse design of Mie resonators with minimal backscattering
Inverse design of Mie resonators with minimal backscattering Open
Manipulation and engineering of light scattering by resonant nanostructures is one of the central problems in optics and photonics. In this work, we theoretically study the effect of suppressed back-scattering of dielectric nanoantenna. We…
View article: Multistability manipulation by reinforcement learning algorithm inside mode-locked fiber laser
Multistability manipulation by reinforcement learning algorithm inside mode-locked fiber laser Open
Fiber mode-locked lasers are nonlinear optical systems that provide ultrashort pulses at high repetition rates. However, adjusting the cavity parameters is often a challenging task due to the intrinsic multistability of a laser system. Dep…
View article: A Deep Reinforcement Learning Algorithm for Smart Control of Hysteresis Phenomena in a Mode-Locked Fiber Laser
A Deep Reinforcement Learning Algorithm for Smart Control of Hysteresis Phenomena in a Mode-Locked Fiber Laser Open
We experimentally demonstrate the application of a double deep Q-learning network algorithm (DDQN) for design of a self-starting fiber mode-locked laser. In contrast to the static optimization of a system design, the DDQN reinforcement alg…
View article: 2D Temperature Field Reconstruction Using Optical Frequency Domain Reflectometry and Machine-Learning Algorithms
2D Temperature Field Reconstruction Using Optical Frequency Domain Reflectometry and Machine-Learning Algorithms Open
We present experimental results on the reconstruction of the 2D temperature field on the surface of a 250 × 250 mm sensor panel based on the distributed frequency shift measured by an optical backscatter reflectometer. A linear regression …
View article: Deep reinforcement learning for self-tuning laser source of dissipative solitons
Deep reinforcement learning for self-tuning laser source of dissipative solitons Open
Increasing complexity of modern laser systems, mostly originated from the nonlinear dynamics of radiation, makes control of their operation more and more challenging, calling for development of new approaches in laser engineering. Machine …
View article: 2d Temperature Field Reconstruction Using Optical Frequency Domain Reflectometry and Machine-Learning Algorithms
2d Temperature Field Reconstruction Using Optical Frequency Domain Reflectometry and Machine-Learning Algorithms Open
View article: Influence of Spectral Filtration on Pulse Dynamics in Ring-Cavity Mamyshev Oscillator
Influence of Spectral Filtration on Pulse Dynamics in Ring-Cavity Mamyshev Oscillator Open
Here we present a numerical study of pulsing build-up dynamics inside the fiber Mamyshev Oscillator (MO). The main scope of the investigation is to describe the influence of the spectral separation between the filters on self-starting MO d…
View article: Highly Dense FBG Temperature Sensor Assisted with Deep Learning Algorithms
Highly Dense FBG Temperature Sensor Assisted with Deep Learning Algorithms Open
In this paper, we demonstrate the application of deep neural networks (DNNs) for processing the reflectance spectrum from a fiberoptic temperature sensor composed of densely inscribed fiber bragg gratings (FBG). Such sensors are commonly a…
View article: Nonlinear spectral blueshift in semiconductor optical amplifiers
Nonlinear spectral blueshift in semiconductor optical amplifiers Open
We demonstrate that spectral peak power of negatively chirped optical pulses can acquire a blueshift after amplification by a semiconductor optical amplifier. The central wavelength of a transform limited optical pulse translates over 20 n…
View article: Inverse design of mode-locked fiber laser by particle swarm optimization algorithm
Inverse design of mode-locked fiber laser by particle swarm optimization algorithm Open
A wide variety of laser applications, that often require radiation with specific characteristics, and relative flexibility of laser configurations offer a prospect of designing systems with the parameters on demand. The inverse laser desig…
View article: Electro-optically gated in-line saturable absorbers for fibre lasers
Electro-optically gated in-line saturable absorbers for fibre lasers Open
This work presents for the first time a study of a fibre laser mode-locked due to a carbon-nanotube-based saturable absorber whose parameters could be controlled by a joined action of optical radiation and electric field. Combination of di…
View article: Machine learning-based pulse characterization in figure-eight mode-locked lasers
Machine learning-based pulse characterization in figure-eight mode-locked lasers Open
By combining machine learning methods and the dispersive Fourier transform we demonstrate, to the best of our knowledge, for the first time the possibility to determine the temporal duration of picosecond-scale laser pulses using a nanosec…
View article: Machine Learning Methods for Control of Fibre Lasers with Double Gain Nonlinear Loop Mirror
Machine Learning Methods for Control of Fibre Lasers with Double Gain Nonlinear Loop Mirror Open
View article: Coherence automatic adjustment of the optical pulses inside mode-lock fiber laser cavity
Coherence automatic adjustment of the optical pulses inside mode-lock fiber laser cavity Open
In the current work we demonstrate mode-locked fiber laser with automatic adjustment a coherence degree of the output pulses. As a source of the pulses we used 8-figure fiber laser with two amplifying fibers inside both loops of the laser …
View article: Raman-converted high-energy double-scale pulses at 1270 nm in P<sub>2</sub>O<sub>5</sub>-doped silica fiber
Raman-converted high-energy double-scale pulses at 1270 nm in P<sub>2</sub>O<sub>5</sub>-doped silica fiber Open
This work presents implementation of a new approach to single-cascade Raman conversion of laser pulses from the spectral range around 1.1 µm into the 1.3-µm wavelength region. The proposed conversion technique relies on double-scale pico-f…
View article: Ultrafast all-fibre laser mode-locked by polymer-free carbon nanotube film
Ultrafast all-fibre laser mode-locked by polymer-free carbon nanotube film Open
This work for the first time reports the results on study of a polymer-free carbon nanotube (CNT) films used as a saturable absorber in an all-fibre laser. It is demonstrated that free-standing single-walled CNT films fabricated by an aero…
View article: Synchronously pumped picosecond all-fibre Raman laser based on phosphorus-doped silica fibre
Synchronously pumped picosecond all-fibre Raman laser based on phosphorus-doped silica fibre Open
Reported for the first time is picosecond-range pulse generation in an all-fibre Raman laser based on P₂O₅-doped silica fibre. Employment of phosphor-silicate fibre made possible single-cascade spectral transformation of pumping pulses at …