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

Mechanical Systems01:22

Mechanical Systems

428
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
428
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.1K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.1K
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.4K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.4K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

939
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
939
Maxwell's Equation Of Electromagnetism01:29

Maxwell's Equation Of Electromagnetism

3.7K
James Clerk Maxwell (1831–1879) was one of the major contributors to physics in the nineteenth century. Although he died young, he made major contributions to the development of the kinetic theory of gases, to the understanding of color vision, and to understanding the nature of Saturn's rings. He is probably best known for having combined existing knowledge on the laws of electricity and magnetism with his insights into a complete overarching electromagnetic theory, which is...
3.7K
Maxwell's Thermodynamic Relations01:23

Maxwell's Thermodynamic Relations

4.0K
Maxwell's thermodynamic relations are very useful in solving problems in thermodynamics. Each of Maxwell's relations relates a partial differential between quantities that can be hard to measure experimentally to a partial differential between quantities that can be easily measured. These relations are a set of equations derivable from the symmetry of the second derivatives and the thermodynamic potentials.
All thermodynamic potentials are exact differentials. Therefore, their second-order...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Nonlinear response relations and fluctuation-response inequalities for nonequilibrium stochastic systems.

The Journal of chemical physics·2026
Same author

Fluctuation theorems for autonomous work.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Kinetic frustration enables single-molecule computation.

The Journal of chemical physics·2025
Same author

Revisiting kinetic Monte Carlo algorithms for time-dependent processes: From open-loop control to feedback control.

The Journal of chemical physics·2024
Same author

Stochastic distinguishability of Markovian trajectories.

The Journal of chemical physics·2024
Same author

Geometric approach to nonequilibrium hasty shortcuts.

The Journal of chemical physics·2023
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 27, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.3K

A Programmable Mechanical Maxwell's Demon.

Zhiyue Lu1, Christopher Jarzynski2,3,4

  • 1James Franck Institute, University of Chicago, Chicago, IL 60637, USA.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a mechanical model of Maxwell's demon that converts information to energy and vice versa. The device can extract heat from a thermal reservoir to do work or use work to write information, demonstrating generalized second laws of thermodynamics.

Keywords:
Landauer’s principleMaxwell’s demonShannon entropySzilard engineinformation enginesecond law of thermodynamics

More Related Videos

Mechanical Manipulation of Neurons to Control Axonal Development
10:02

Mechanical Manipulation of Neurons to Control Axonal Development

Published on: April 10, 2011

10.7K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.2K

Related Experiment Videos

Last Updated: Nov 27, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.3K
Mechanical Manipulation of Neurons to Control Axonal Development
10:02

Mechanical Manipulation of Neurons to Control Axonal Development

Published on: April 10, 2011

10.7K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.2K

Area of Science:

  • Thermodynamics
  • Statistical Mechanics
  • Information Theory

Background:

  • Maxwell's demon is a thought experiment exploring the relationship between information and thermodynamics.
  • Landauer's principle links information erasure to energy dissipation.
  • Understanding the interplay of information and energy is crucial for developing new technologies.

Purpose of the Study:

  • To introduce and investigate a simple, explicit mechanical model of Maxwell's demon.
  • To explore the bidirectional conversion between information and energy.
  • To derive generalized second laws of thermodynamics for this model.

Main Methods:

  • Development of a mechanical model interacting with a memory register, thermal reservoir, and work reservoir.
  • Programming the device to recognize a specific reference sequence (e.g., binary representation of pi).
  • Derivation of generalized second laws of thermodynamics for autonomous and feedback-controlled operation.
  • Numerical simulations and analytical calculations for model illustration.

Main Results:

  • The model demonstrates information-to-energy conversion: matching memory bits to a reference sequence generates work from heat.
  • The model demonstrates energy-to-information conversion: work can be used to write a reference sequence onto the memory register (generalized Landauer's eraser/copier).
  • Generalized second laws of thermodynamics were derived for both operational pictures.

Conclusions:

  • The mechanical model provides a tangible system for studying the fundamental links between information and thermodynamics.
  • The model supports interpretations of autonomous information-energy conversion or feedback-controlled operation.
  • The derived generalized second laws offer a broader thermodynamic framework for information processing systems.