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

Equation of Rotational Dynamics01:08

Equation of Rotational Dynamics

14.7K
Angular variables are introduced in rotational dynamics. Comparing the definitions of angular variables with the definitions of linear kinematic variables, it is seen that there is a mapping of the linear variables to the rotational ones. Linear displacement, velocity, and acceleration have their equivalents in rotational motion, which are angular displacement, angular velocity, and angular acceleration. Similar to the rotational variables, a mapping exists from Newton's second law of motion...
14.7K
Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

3.2K
Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
3.2K
Shearing Stress01:19

Shearing Stress

1.9K
Shearing stress, denoted by the Greek letter tau (τ), is stress caused by forces acting transversely on an object. These forces create internal ones within the entity in the plane where the external forces are applied. The resultant of these internal forces is the shear in the section.
The average shearing stress can be calculated by dividing the shear by the area of the cross-section.
1.9K
Shearing Strain01:20

Shearing Strain

1.4K
The shearing strain represents a cubic element's angular change when subjected to shearing stress. This type of stress can transform a cube into an oblique parallelepiped without influencing normal strains. The cubic element experiences a significant transformation when exposed solely to shearing stress. Its shape alters from a perfect cube into a rhomboid, clearly demonstrating the effect of shearing strain. The degree of this strain is considered positive if it reduces the angle between the...
1.4K
Shear Diagram01:27

Shear Diagram

1.6K
In the study of beam mechanics, shear diagrams play a crucial role in understanding the distribution of shear forces along the length of a beam. Consider a beam AB that is supported at both ends and subjected to perpendicular loads.
First, a free-body diagram of the beam is drawn, representing all the external forces and internal reactions acting on the beam. One can calculate the reaction forces at each support by employing the equilibrium equations of force and moment. The vertical component...
1.6K
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

788
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
788

You might also read

Related Articles

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

Sort by
Same author

Interfacial structure and chain anisotropy in PVC/SiO2nanocomposites: a layer-resolved static analysis by molecular dynamics.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same author

Ion-modulated polyelectrolyte complexation of DNA and polyacrylic acid from molecular dynamics simulations.

The Journal of chemical physics·2026
Same author

Decoupling of single-particle and collective dynamics in arrested phase-separating glassy mixtures.

The Journal of chemical physics·2026
Same author

Glass Transition and Yielding of Ultrasoft Charged Spherical Micelles.

Macromolecules·2026
Same author

Coarse-Graining of Slit-Confined Star Polymers in Solvents of Varying Quality.

Macromolecules·2026
Same author

Anisotropic self-assembly of soft particles induced by elliptically polarized AC electric fields.

The Journal of chemical physics·2026

Related Experiment Video

Updated: Jan 26, 2026

Anionic Polymerization of an Amphiphilic Copolymer for Preparation of Block Copolymer Micelles Stabilized by π-π Stacking Interactions
10:53

Anionic Polymerization of an Amphiphilic Copolymer for Preparation of Block Copolymer Micelles Stabilized by π-π Stacking Interactions

Published on: October 10, 2016

14.6K

Rotation Dynamics of Star Block Copolymers under Shear Flow.

Diego Jaramillo-Cano1, Christos N Likos2, Manuel Camargo3

  • 1Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria. diego.jaramillo@univie.ac.at.

Polymers
|April 10, 2019
PubMed
Summary

Star block-copolymers (SBCs) exhibit complex rotational dynamics. The Eckart frame offers a versatile approach to analyze SBC dynamics across various softness levels, outperforming other methods in generality.

Keywords:
Eckart framegeometrical approachhybrid mesoscale simulation techniquelaboratory framerotational frequencystar block-copolymers

More Related Videos

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
11:42

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers

Published on: June 20, 2019

8.3K
Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering
09:12

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering

Published on: June 1, 2016

9.5K

Related Experiment Videos

Last Updated: Jan 26, 2026

Anionic Polymerization of an Amphiphilic Copolymer for Preparation of Block Copolymer Micelles Stabilized by π-π Stacking Interactions
10:53

Anionic Polymerization of an Amphiphilic Copolymer for Preparation of Block Copolymer Micelles Stabilized by π-π Stacking Interactions

Published on: October 10, 2016

14.6K
Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
11:42

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers

Published on: June 20, 2019

8.3K
Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering
09:12

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering

Published on: June 1, 2016

9.5K

Area of Science:

  • Polymer Science
  • Soft Matter Physics
  • Computational Chemistry

Background:

  • Star block-copolymers (SBCs) are complex macromolecules with solvophilic and solvophobic segments.
  • SBCs self-assemble into functional building blocks with tunable properties like softness, shape, and flexibility.
  • These particles can exhibit behavior analogous to flexible patchy particles.

Purpose of the Study:

  • To investigate the rotational dynamics of isolated star block-copolymers (SBCs).
  • To compare the effectiveness of three distinct analytical frames for describing SBC rotational motion.
  • To assess the relationship between SBC conformation and solvent velocity profiles.

Main Methods:

  • Utilized a hybrid mesoscale simulation technique to model SBCs.
  • Analyzed rotational dynamics using three frames: laboratory, Eckart's non-inertial, and a geometrical approximation.
  • Compared simulation results with definitions of angular momentum and inertia tensor from recent literature.

Main Results:

  • The geometrical approach is suitable for very soft SBC systems.
  • The laboratory frame best describes the dynamics of very rigid SBCs.
  • The Eckart frame provides a general and accurate analysis for both soft and rigid SBCs.

Conclusions:

  • The Eckart frame is a highly versatile tool for studying SBC rotational dynamics.
  • Understanding SBC dynamics is crucial for designing self-assembling materials.
  • Simulation methods offer valuable insights into macromolecular behavior.