Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Feedback Inhibition00:46

Feedback Inhibition

56.9K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
56.9K
Semiconductors01:22

Semiconductors

1.4K
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
1.4K
Feedback Loops01:01

Feedback Loops

64.2K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
64.2K
Types of Semiconductors01:20

Types of Semiconductors

1.4K
Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
1.4K
Metal-Semiconductor Junctions01:24

Metal-Semiconductor Junctions

928
The contact of metal and semiconductor can lead to the formation of a junction with either Schottky or Ohmic behavior.
Schottky Barriers
Schottky barriers arise when a metal with a work function (Φm) contacts a semiconductor with a different work function (Φs). Initially, electrons transfer until the Fermi levels of the metal and semiconductor align at equilibrium. For instance, if Φm > Φs, the semiconductor Fermi level is higher than the metal's before contact. The...
928
Effects of feedback01:24

Effects of feedback

1.0K
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Nonlinear dynamics of reservoir computing: Theory, realization, and application.

Chaos (Woodbury, N.Y.)·2026
Same author

Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Computational memory capacity predicts aging and cognitive decline.

Nature communications·2025
Same author

Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model.

Scientific reports·2025
Same author

Post-processing methods for delay embedding and feature scaling of reservoir computers.

Communications engineering·2025
Same author

Efficient optimisation of physical reservoir computers using only a delayed input.

Communications engineering·2025
Same journal

Inverse FIP effect plasma in the solar atmosphere: a synthesis of current understanding and new insights from AR 11967.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Signs of sulfur fractionation under high magnetic field strength.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

First ionization potential fractionation of sulfur observed with spectral imaging of the coronal environment.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Chromospheric dynamics and turbulence regulate the solar FIP effect.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Exploring the link between wave activity in the photospheric velocity driver and the FIP bias in the solar corona.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Radiative hydrodynamic simulations of first ionization potential fractionation in solar flares.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.8K

Class-C semiconductor lasers with time-delayed optical feedback.

Benjamin Lingnau1, Jonas Turnwald1, Kathy Lüdge1

  • 1Institut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|July 23, 2019
PubMed
Summary
This summary is machine-generated.

We analyzed class-C lasers with time-delayed optical feedback. Intermediate dephasing times stabilize laser dynamics, while long dephasing times destabilize them by unlocking Rabi oscillations.

Keywords:
class-C lasersnonlinear dynamicsoptical feedbackstability analysis

More Related Videos

Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope
11:14

Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope

Published on: May 28, 2016

14.4K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.5K

Related Experiment Videos

Last Updated: Jan 21, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.8K
Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope
11:14

Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope

Published on: May 28, 2016

14.4K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.5K

Area of Science:

  • Nonlinear dynamics
  • Laser physics
  • Optical feedback systems

Background:

  • Class-C lasers exhibit complex dynamics under optical feedback.
  • Time-delayed feedback significantly influences laser stability.
  • Dephasing time is a critical parameter in laser operation.

Purpose of the Study:

  • To investigate the impact of dephasing time on the stability of class-C lasers with time-delayed optical feedback.
  • To analyze the transition from class-B to class-C laser dynamics.
  • To identify conditions for optimal resistance to feedback-induced instabilities.

Main Methods:

  • Linear stability analysis
  • Numerical bifurcation diagrams
  • Rate equation system derived from Maxwell-Bloch equations

Main Results:

  • An intermediate dephasing time demonstrates a stabilizing effect on laser dynamics.
  • Long dephasing times lead to destabilization via feedback-induced unlocking of Rabi oscillations.
  • Optimal resistance to time-delayed optical feedback is predicted for dephasing times near the photon cavity lifetime.

Conclusions:

  • Dephasing time critically controls the stability of class-C lasers with time-delayed feedback.
  • The interplay between dephasing, feedback, and cavity lifetime determines laser behavior.
  • Findings offer insights into designing robust laser systems operating under delayed optical feedback.