Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Reducing Line Loss

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Targeting metabolism and membrane: Neferine synergizes with gentamicin against <i>Escherichia coli</i> by disrupting FNR/ArcA-Mediated homeostasis.

Virulence·2026

Same author

Digitally encoded dual-narrowband photodetectors for secure optical wireless communication.

Nature communications·2026

Same author

Single-source full-duplex UWOC system using a Bessel beam in bubble-disturbed channels.

Applied optics·2026

Same author

Underwater computational ghost imaging LiDAR for multi-target detection with a super-low sampling ratio.

Applied optics·2026

Same author

The dual effects of anesthetics on glial cells: a review of neuroprotection and neurotoxicity.

Frontiers in pharmacology·2026

Same author

Photonic-waveguide-enabled femtosecond dissipative solitons in mode-locked lasers.

Optics letters·2026

Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026

Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026

Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026

Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026

Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026

Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 30, 2026

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Published on: November 30, 2012

Machine-learning iterative optimization for all polarization-maintaining linear cavity Er:fiber laser.

Minghe Zhao, Xuanyi Liu, H Y Fu

|September 14, 2023

Summary

This summary is machine-generated.

This study demonstrates a robust, all-polarization-maintaining (PM) fiber laser. A machine learning method rapidly optimized mode-locking, achieving experimental consistency in simulations of ultrafast laser pulse generation.

More Related Videos

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Published on: November 22, 2019

Related Experiment Videos

Last Updated: Jun 30, 2026

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Published on: November 30, 2012

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Published on: November 22, 2019

Area of Science:

Optics and Photonics
Ultrafast Laser Technology
Machine Learning Applications

Background:

Polarization-maintaining (PM) fiber lasers offer compactness and environmental stability for ultrafast applications.
Understanding mode-locking formation is crucial for optimizing laser performance.

Purpose of the Study:

To experimentally demonstrate an all-PM linear cavity mode-locked fiber laser.
To investigate mode-locking formation using a machine-learning iterative optimization method.
To analyze intracavity dynamics and polarization effects.

Main Methods:

Experimental setup of an all-PM linear cavity fiber laser.
Gaussian process-based machine learning for iterative optimization of mode-locking parameters.
Numerical simulations to model pulse generation and intracavity dynamics.
Analysis of group velocity mismatch and cross-phase modulation effects.

Main Results:

Rapid convergence of the machine learning optimization algorithm within 30 runs.
Simulated output spectrum and pulse energy closely match experimental results.
Detailed description of intracavity dynamic evolution, including group velocity mismatch.
Demonstration of pulse trapping due to cross-phase modulation causing overcompensated time synchronization.

Conclusions:

The all-PM linear cavity fiber laser is a viable ultrafast laser source.
Machine learning provides an efficient method for optimizing mode-locking in fiber lasers.
Intracavity dynamics, including pulse trapping, significantly influence ultrafast pulse characteristics.