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

Second Order systems II01:18

Second Order systems II

389
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
389
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

3.4K
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...
3.4K
Modeling with Differential Equations01:25

Modeling with Differential Equations

20
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
20
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.2K
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.
3.2K
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

887
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
887
Damped Oscillations01:07

Damped Oscillations

6.8K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Competing effects of activity and diffusive noise in collective ordering of rod-like particles.

The Journal of chemical physics·2026
Same author

Role of Noise-Modulated Self-Propulsion in Driving Spatiotemporal Orders in Active Systems.

Journal of chemical theory and computation·2025
Same author

Radially evolving spiral wave patterns in the Gierer-Meinhardt reaction-diffusion system.

RSC advances·2025
Same author

Intraoperative Frozen Section Diagnosis of Giant Cell Arteritis.

Cureus·2024
Same author

Diverse morphology and motility induced emergent order in bacterial collectives.

The Journal of chemical physics·2024
Same author

Resource limitation and population fluctuation drive spatiotemporal order in microbial communities.

Soft matter·2024
Same journal

Complementing Onsager's Conductivity Theory by Grotthuss Mechanism Mitigation via Ion-Induced Depletion of Hydrogen-Bond-Donating Water.

Journal of chemical theory and computation·2026
Same journal

Microscopic Stress in Biomembranes: A Perspective on Key Concepts, Methods, and Applications.

Journal of chemical theory and computation·2026
Same journal

Analytic Nuclear Gradients Including Oriented External Electric Fields in a Molecule-Fixed Frame.

Journal of chemical theory and computation·2026
Same journal

Knowledge Distillation of a Protein Language Model Yields a Foundational Implicit Solvent Model.

Journal of chemical theory and computation·2026
Same journal

Generalizable Protein Folding Pathway Exploration with DA2-GRASP: Extending Beyond Miniproteins.

Journal of chemical theory and computation·2026
Same journal

Improving PCM in Protic Media: Markov State Models for TD-DFT Calculations.

Journal of chemical theory and computation·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers
08:10

In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers

Published on: July 28, 2018

12.7K

Programmable Spiral Wave Dynamics: Instability Cascades Driven by Temporal Modulation in a Reaction-Diffusion System.

Tarpan Maiti1, Achal Jadhav1, Pushpita Ghosh1,2

  • 1School of Chemistry, Indian Institute of Science Education and Research, Thiruvananthapuram, Kerala 695551, India.

Journal of Chemical Theory and Computation
|September 19, 2025
PubMed
Summary
This summary is machine-generated.

Periodic forcing of kinetic parameters in chemical models can control complex spiral wave behaviors. This study reveals how temporal instability drives diverse pattern formation, including spiral breakup and regeneration, in spatially stable systems.

More Related Videos

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
10:07

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

6.6K
Rapid PCR Thermocycling using Microscale Thermal Convection
09:02

Rapid PCR Thermocycling using Microscale Thermal Convection

Published on: March 5, 2011

23.3K

Related Experiment Videos

Last Updated: Jan 17, 2026

In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers
08:10

In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers

Published on: July 28, 2018

12.7K
Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
10:07

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

6.6K
Rapid PCR Thermocycling using Microscale Thermal Convection
09:02

Rapid PCR Thermocycling using Microscale Thermal Convection

Published on: March 5, 2011

23.3K

Area of Science:

  • Nonlinear dynamics
  • Chemical kinetics
  • Pattern formation

Background:

  • Spiral waves are key self-organizing structures in chemical and biological systems.
  • Instabilities of spirals in spatially inhomogeneous media are well-studied.
  • Response of spirals to temporal modulations near the Turing threshold is underexplored.

Purpose of the Study:

  • Investigate spiral wave instabilities induced by periodic forcing of kinetic parameters.
  • Explore pattern selection in a spatially stable yet temporally unstable regime.
  • Understand the transition from stable spirals to complex spatiotemporal dynamics.

Main Methods:

  • Utilized the Chlorine Dioxide-Iodine-Malonic Acid (CDIMA) model.
  • Applied periodic forcing to a kinetic parameter.
  • Analyzed spiral wave dynamics and pattern evolution.
  • Mapped observed phenomena onto a two-dimensional phase diagram.

Main Results:

  • Observed a cascade of modulation-induced phenomena: breathing spirals, core drift, breakup, and turbulence.
  • Identified transitions to oscillating clusters, Ising-front-like patterns, and bulk oscillations.
  • Discovered spiral regeneration with altered arm width and chirality reversal.
  • Revealed resonance-driven bifurcation cascades and amplitude-phase interactions leading to complex states.

Conclusions:

  • Periodic temporal forcing can unlock diverse and tunable spiral wave instabilities.
  • Simple temporal inputs can steer complex pattern selection in nonlinear chemical media.
  • Findings offer insights for systems chemistry, chemical wave control, and responsive self-organizing systems.