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

Phase Transitions02:31

Phase Transitions

21.0K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
21.0K
Transient and Steady-state Response01:24

Transient and Steady-state Response

342
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
342
Phase Transitions: Sublimation and Deposition02:33

Phase Transitions: Sublimation and Deposition

18.6K
Some solids can transition directly into the gaseous state, bypassing the liquid state, via a process known as sublimation. At room temperature and standard pressure, a piece of dry ice (solid CO2) sublimes, appearing to gradually disappear without ever forming any liquid. Snow and ice sublimate at temperatures below the melting point of water, a slow process that may be accelerated by winds and the reduced atmospheric pressures at high altitudes. When solid iodine is warmed, the solid sublimes...
18.6K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

595
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
595
Stability01:28

Stability

219
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
219
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

744
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
744

You might also read

Related Articles

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

Sort by
Same author

Self-organized integration vs. self-organized disintegration: an unfinished study.

Frontiers in network physiology·2025
Same author

Schrödinger's <i>What is Life?</i>-Complexity, Cognition and the City.

Entropy (Basel, Switzerland)·2023
Same author

A Complexity Science Account of Humor.

Entropy (Basel, Switzerland)·2023
Same author

Causation and chance: Detection of deterministic and stochastic ingredients in psychotherapy processes.

Psychotherapy research : journal of the Society for Psychotherapy Research·2019
Same author

A synergetic perspective on urban scaling, urban regulatory focus and their interrelations.

Royal Society open science·2019
Same author

Urban regulatory focus: a new concept linking city size to human behaviour.

Royal Society open science·2018
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: Oct 31, 2025

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.2K

Information and Self-Organization II: Steady State and Phase Transition.

Hermann Haken1, Juval Portugali2

  • 1Center of Synergetics, Institute for Theoretical Physics, Stuttgart University, 70550 Stuttgart, Germany.

Entropy (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

This study explores "what is life" using Friston's free energy principle, Bayesian inference, and Synergetics. It highlights a shift towards information theory and Synergetics for understanding life

Keywords:
Synergeticsfree energy principlemaximum entropy principlepragmatic informationwhat is life

More Related Videos

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
10:08

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

Published on: October 24, 2017

9.4K
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

8.7K

Related Experiment Videos

Last Updated: Oct 31, 2025

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.2K
Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
10:08

Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

Published on: October 24, 2017

9.4K
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

8.7K

Area of Science:

  • Theoretical Physics
  • Information Theory
  • Systems Biology

Background:

  • Schrödinger's "what is life" question remains a fundamental inquiry.
  • Traditional approaches often focus on physical principles.
  • A need exists to explore life from an information-theoretic perspective.

Purpose of the Study:

  • To elucidate answers to "what is life" using modern theoretical frameworks.
  • To present the free energy principle and its connections to Bayesian inference and Synergetics.
  • To familiarize a general audience with concepts from information theory and Synergetics.

Main Methods:

  • Exploration of Friston's free energy principle.
  • Application of Bayesian inference methods.
  • Integration of Synergetics and the maximum entropy principle (Jaynes).

Main Results:

  • Demonstrates the utility of information theory and Synergetics in addressing the nature of life.
  • Highlights a conceptual shift from physics-centric to information-centric explanations.
  • Provides a tutorial-style introduction to complex theoretical concepts.

Conclusions:

  • The free energy principle, Bayesian inference, and Synergetics offer a unified framework for understanding life.
  • Information theory provides powerful tools for biological inquiry.
  • This interdisciplinary approach deepens our understanding of living systems.