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

Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.7K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.7K
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

404
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
404
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

135
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
135
Differential Form of Maxwell's Equations01:17

Differential Form of Maxwell's Equations

648
James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
648
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

125
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
125
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

4.6K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
4.6K

You might also read

Related Articles

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

Sort by
Same author

Large deviations of the stochastic area for linear diffusions.

Physical review. E·2023
Same author

Dynamical large deviations of linear diffusions.

Physical review. E·2023
Same author

Adaptive power method for estimating large deviations in Markov chains.

Physical review. E·2023
Same author

Noise correction of large deviations with anomalous scaling.

Physical review. E·2022
Same author

Learning nonequilibrium control forces to characterize dynamical phase transitions.

Physical review. E·2022
Same author

Role of current fluctuations in nonreversible samplers.

Physical review. E·2021
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Sep 13, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.6K

Erratum: Dynamical large deviations of linear diffusions [Phys. Rev. E 107, 054111 (2023)].

Johan du Buisson, Hugo Touchette

    Physical Review. E
    |August 1, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study corrects a previously published article. The correction pertains to the Digital Object Identifier (DOI) for the research.

    More Related Videos

    Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
    09:16

    Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

    Published on: January 9, 2017

    14.5K
    Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
    12:15

    Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

    Published on: April 9, 2019

    8.8K

    Related Experiment Videos

    Last Updated: Sep 13, 2025

    An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
    11:03

    An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

    Published on: December 4, 2017

    8.6K
    Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
    09:16

    Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

    Published on: January 9, 2017

    14.5K
    Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
    12:15

    Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

    Published on: April 9, 2019

    8.8K

    Area of Science:

    • Physics
    • Complex Systems

    Context:

    • Correction of a previously published article.
    • Ensuring accurate citation and referencing.

    Purpose:

    • To provide the correct Digital Object Identifier (DOI).

    Summary:

    • The article DOI 10.1103/PhysRevE.107.054111 has been corrected.

    Impact:

    • Facilitates accurate retrieval of the research.
    • Maintains the integrity of scientific records.