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

Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

759
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
759
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

635
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
635
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

627
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
627
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

543
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
543
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

389
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
389
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

11.9K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
11.9K

You might also read

Related Articles

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

Sort by
Same author

Probing wetting properties with self-propelled droplets.

Soft matter·2025
Same author

Increasing leaf sizes of the vine <i>Epipremnum aureum</i> (Araceae): photosynthesis and respiration.

PeerJ·2025
Same author

Optimizing oil-water separation using fractal surfaces.

The Journal of chemical physics·2025
Same author

Testing Theories of the Glass Transition with the Same Liquid but Many Kinetic Rules.

Physical review letters·2024
Same author

Chemical physics of controlled wettability and super surfaces.

The Journal of chemical physics·2023
Same author

Physics scientific events in Brazil: Female participation.

PloS one·2023
Same journal

Nanopore sequencing with proteins: synchronization and dischronization of molecular dynamics simulations with laboratory and industrial developments.

Soft matter·2026
Same journal

Catanionics from biosurfactants and regular surfactants: miscibility and structure.

Soft matter·2026
Same journal

Adhesives with a thickness smaller than the fractocohesive length enhance adhesion.

Soft matter·2026
Same journal

Non-equilibrium phase transitions in hybrid Voronoi models of cell colonies.

Soft matter·2026
Same journal

Effects of methoxy substituents on self-assembly and gelation performance of benzamide-based organogelators.

Soft matter·2026
Same journal

Rheology of <i>Escherichia coli</i> suspensions with various bacterial morphologies and motion characteristics.

Soft matter·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

Free-form Light Actuators &#8212; Fabrication and Control of Actuation in Microscopic Scale
08:17

Free-form Light Actuators — Fabrication and Control of Actuation in Microscopic Scale

Published on: May 25, 2016

9.3K

Tuning collective actuation of active solids by optimizing activity localization.

Davi Lazzari1, Olivier Dauchot2, Carolina Brito1

  • 1Instituto de FĂ­sica, Universidade Federal do Rio Grande do Sul, Caixa Postal 15051, CEP 91501-970, Porto Alegre, Rio Grande do Sul, Brazil. davi.lazzari@ufrgs.br.

Soft Matter
|October 21, 2024
PubMed
Summary
This summary is machine-generated.

Researchers explored how to control collective actuation in active solids by localizing activity to specific vibrational modes. An algorithm was developed to optimize this localization, showing promise for designing targeted actuation, especially in disordered systems.

More Related Videos

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics
09:10

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics

Published on: August 25, 2022

3.2K
Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators
14:42

Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators

Published on: April 25, 2020

8.2K

Related Experiment Videos

Last Updated: Jun 9, 2025

Free-form Light Actuators &#8212; Fabrication and Control of Actuation in Microscopic Scale
08:17

Free-form Light Actuators — Fabrication and Control of Actuation in Microscopic Scale

Published on: May 25, 2016

9.3K
Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics
09:10

Reconstituting and Characterizing Actin-Microtubule Composites with Tunable Motor-Driven Dynamics and Mechanics

Published on: August 25, 2022

3.2K
Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators
14:42

Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators

Published on: April 25, 2020

8.2K

Area of Science:

  • Physics
  • Materials Science
  • Mechanical Engineering

Background:

  • Active solids, particularly elastic lattices with polar active units, display collective actuation when elasto-active feedback surpasses a critical threshold.
  • System dynamics condense onto a subset of vibrational modes, with selection rules governed by nonlinear dynamics, complicating targeted actuation design.

Purpose of the Study:

  • To numerically investigate how localizing activity to specific vibrational modes enables the selection of non-trivial collective actuation.
  • To develop and assess an algorithm for optimizing the localization of activity to achieve targeted energy distribution across modes.

Main Methods:

  • Numerical simulations using an agent-based model on triangular and disordered lattices.
  • Varying the concentration and localization of active agents on lattice nodes.
  • Introducing an algorithm to evolve activity localization for maximizing/minimizing energy distribution on targeted modes.

Main Results:

  • Both agent concentration and localization influence elastic energy distribution across modes.
  • The developed algorithm demonstrated effectiveness in optimizing activity localization for targeted actuation.
  • The algorithm outperformed manual trials in disordered lattices, while a well-informed guess was superior in ordered lattices.

Conclusions:

  • Localizing activity to specific modes is a viable strategy for controlling collective actuation in active solids.
  • The developed algorithm offers a pathway for designing specific actuation behaviors, particularly in complex, disordered materials.
  • A design principle based on mode susceptibility to activation along specific paths was proposed for ordered lattices.