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

Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

66.2K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
66.2K
Atomic Orbitals02:44

Atomic Orbitals

43.5K
An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
43.5K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

27.0K
Molecular Orbital Energy Diagrams
27.0K
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

47.1K
Overview of Molecular Orbital Theory
47.1K
Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

48.3K
sp3d and sp3d 2 Hybridization
48.3K
Electron Orbital Model01:18

Electron Orbital Model

71.9K
Orbitals are the areas outside of the atomic nucleus where electrons are most likely to reside. They are characterized by different energy levels, shapes, and three-dimensional orientations. The location of electrons is described most generally by a shell or principal energy level, then by a subshell within each shell, and finally, by individual orbitals found within the subshells.
The first shell is closest to the nucleus, and it has only one subshell with a single spherical orbital called the...
71.9K

You might also read

Related Articles

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

Sort by
Same journal

Stochastic Poincaré maps for a slow-fast system with white noises: Approximation and visualization.

Chaos (Woodbury, N.Y.)·2026
Same journal

On a stable torus in a 3D system with a saddle-focus.

Chaos (Woodbury, N.Y.)·2026
Same journal

Targeted interventions suppress epidemic outbreaks in spatial higher-order activity-driven networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Erratum: "Hierarchical organization of bursty trains in event sequences" [Chaos 35, 113115 (2025)].

Chaos (Woodbury, N.Y.)·2026
Same journal

Deterministic control of CW/CCW alternation by dual-frequency injection in a heterogeneous oscillator ring.

Chaos (Woodbury, N.Y.)·2026
Same journal

A CTRW-driven subdiffusive fractional Brownian bridge in the reconstruction of missing experimental data.

Chaos (Woodbury, N.Y.)·2026

Related Experiment Video

Updated: Jan 24, 2026

Generating a Fractal Microstructure of Laminin-111 to Signal to Cells
06:56

Generating a Fractal Microstructure of Laminin-111 to Signal to Cells

Published on: September 28, 2020

1.3K

Generation of fractals as Duffing equation orbits.

Marat Akhmet1, Mehmet Onur Fen2, Ejaily Milad Alejaily1

  • 1Department of Mathematics, Middle East Technical University, 06800 Ankara, Turkey.

Chaos (Woodbury, N.Y.)
|June 4, 2019
PubMed
Summary

This study introduces dynamics for fractals using the Duffing equation and Fatou-Julia iterations. This approach characterizes fractals as trajectory points, enhancing understanding of chaos and fractal geometry.

More Related Videos

Three-Dimensional Reconstruction of Orbital Fractures
08:18

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

640
Coronoid-Temporalis Pedicled Flap for Orbital Floor Defect Reconstruction
06:32

Coronoid-Temporalis Pedicled Flap for Orbital Floor Defect Reconstruction

Published on: December 5, 2025

633

Related Experiment Videos

Last Updated: Jan 24, 2026

Generating a Fractal Microstructure of Laminin-111 to Signal to Cells
06:56

Generating a Fractal Microstructure of Laminin-111 to Signal to Cells

Published on: September 28, 2020

1.3K
Three-Dimensional Reconstruction of Orbital Fractures
08:18

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

640
Coronoid-Temporalis Pedicled Flap for Orbital Floor Defect Reconstruction
06:32

Coronoid-Temporalis Pedicled Flap for Orbital Floor Defect Reconstruction

Published on: December 5, 2025

633

Area of Science:

  • Complex Systems
  • Dynamical Systems Theory
  • Fractal Geometry

Background:

  • Fractals exhibit complex geometric properties.
  • The Duffing equation is a well-known model in nonlinear dynamics.
  • Fatou-Julia iterations are fundamental in complex dynamics.

Purpose of the Study:

  • To construct dynamics for fractals.
  • To establish a criterion for fractal mapping.
  • To link fractal geometry with dynamical systems and chaos theory.

Main Methods:

  • Utilizing the motion associated with the Duffing equation.
  • Developing iterations based on the Fatou-Julia paradigm.
  • Mapping fractals and ensuring the resulting image remains fractal.

Main Results:

  • Successfully constructed dynamics for fractals.
  • Developed a criterion to maintain fractal properties under iteration.
  • Characterized fractals as points on solution trajectories of differential equations.

Conclusions:

  • The study establishes a novel method for introducing dynamics to fractals.
  • This work deepens the understanding of the relationship between chaos and fractal geometry.
  • The findings have potential applications in physics and engineering.