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

Path Between Thermodynamics States01:21

Path Between Thermodynamics States

Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
Thermodynamic Processes01:25

Thermodynamic Processes

A thermodynamic process is a path through a sequence of states that takes a system from an initial state to a final state. In a cyclic process, the system returns to its initial state, so the changes in state properties and state functions (ΔT, Δp, ΔV, ΔU, ΔH) over one complete cycle are zero. However, heat and work transfers can still occur during the cycle, and the net heat and net work over the cycle need not be zero.A reversible process occurs when the system is infinitesimally close to...
Thermodynamic Systems01:06

Thermodynamic Systems

A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The tea and...
Quantifying Work02:30

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
First Law Of Thermodynamics: Problem-Solving01:21

First Law Of Thermodynamics: Problem-Solving

The first law of thermodynamics states that the change in internal energy of the system is equal to the net heat transfer into the system minus the net work done by the system. This equation is a generalized form of energy conservation and can be applied to any thermodynamic process.
The following strategies can be used to solve any problem involving the first law of thermodynamics.
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each path...

You might also read

Related Articles

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

Sort by
Same author

Compensating Random Transition-Detection Blackouts in Markov Networks.

Physical review letters·2026
Same author

Pedestrian's approach to large deviations in semi-Markov processes with an application to entropy production.

Physical review. E·2026
Same author

A radically organic worldview turns 100<b>Science and the Modern World</b> <i>Alfred North Whitehead</i> The MacMillan Company, 1925. 212 pp.

Science (New York, N.Y.)·2025
Same author

AI hype, crackling northern lights and more: take it all in with these holiday reads.

Nature·2025
Same author

What we owe the present<b>More Everything Forever: AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity</b> <i>Adam Becker</i> Basic Books, 2025. 384 pp.

Science (New York, N.Y.)·2025
Same author

What we owe the present<b>More Everything Forever: AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity</b> <i>Adam Becker</i> Basic Books, 2025. 384 pp.

Science (New York, N.Y.)·2025

Related Experiment Video

Updated: Jul 3, 2026

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

Optimal protocols for minimal work processes in underdamped stochastic thermodynamics.

Alex Gomez-Marin1, Tim Schmiedl, Udo Seifert

  • 1Facultat de Fisica, Universitat de Barcelona, Diagonal 647, 08028 Barcelona, Spain.

The Journal of Chemical Physics
|July 16, 2008
PubMed
Summary

Optimal protocols for finite-time transitions in controllable systems minimize mean work. Including inertia, delta-peak changes in control parameters at boundaries optimize the process, enhancing free energy calculations.

More Related Videos

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
11:11

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

Related Experiment Videos

Last Updated: Jul 3, 2026

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

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
11:11

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

Area of Science:

  • Statistical mechanics
  • Non-equilibrium thermodynamics
  • Physical chemistry

Background:

  • Systems in controllable potentials transition between equilibrium states.
  • Optimal protocols minimize mean work for finite-time transitions.
  • Overdamped dynamics suggest boundary jumps in control parameters.

Purpose of the Study:

  • Investigate optimal protocols for systems with inertia.
  • Determine the impact of inertia on optimal control parameters.
  • Enhance free energy calculations using insights from optimal protocols.

Main Methods:

  • Analysis of systems with time-dependent potentials.
  • Inclusion of inertia terms in dynamic equations.
  • Study of paradigmatic cases: Brownian particle in optical traps.

Main Results:

  • Optimal protocols persist with boundary delta-peak changes in control parameters when inertia is included.
  • Inertia does not alter the necessity of boundary control parameter adjustments.
  • Demonstrated optimality of delta-peak-like changes at process boundaries.

Conclusions:

  • Inertia inclusion reinforces the importance of boundary control parameter changes for optimal protocols.
  • Findings can improve free energy calculations using thermodynamic integration or Jarzynski's equality.
  • Optimal control strategies are crucial for efficient non-equilibrium processes.