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Electric-field-controlled unpinning of scroll waves
Zulma A Jiménez1, Zhihui Zhang1, Oliver Steinbock1
1Florida State University, Department of Chemistry and Biochemistry, Tallahassee, Florida 32306-4390, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 17, 2013
Summary
Excitation vortices in chemical reactions and biological systems can become pinned. Electric fields were used to unpin these vortices from obstacles, demonstrating control over their dynamics.
Area of Science:
- Chemical kinetics
- Complex systems dynamics
- Nonlinear phenomena
Background:
- Three-dimensional excitation vortices are observed in diverse systems, including chemical reactions and cardiac tissue.
- The dynamics of these vortices are significantly influenced by pinning to unexcitable heterogeneities.
- Understanding vortex-heterogeneity interactions is crucial for controlling complex spatiotemporal patterns.
Purpose of the Study:
- To experimentally demonstrate the unpinning of excitation vortices from obstacles.
- To investigate the role of external electric fields in controlling vortex dynamics.
- To validate experimental findings with numerical simulations.
Main Methods:
- Utilized the Belousov-Zhabotinsky reaction as an experimental model system.
- Employed inert and impermeable spheres as pinning heterogeneities.
- Applied external electric fields to induce vortex unpinning.
- Conducted numerical simulations of a reaction-diffusion-advection model.
Main Results:
- Successfully demonstrated vortex unpinning from a pair of spheres using electric fields.
- Observed a slow reorientation and deformation preceding abrupt unpinning.
- Experimental results were accurately reproduced by numerical simulations.
- Showcased the ability to control vortex behavior via external stimuli.
Conclusions:
- External electric fields provide an effective method for unpinning excitation vortices from obstacles.
- Vortex unpinning involves a complex interplay of reorientation, deformation, and abrupt release.
- The reaction-diffusion-advection model accurately captures the observed phenomena, validating the underlying physics.
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