Turing structures and turbulence in a chemical reaction-diffusion system

1995 ◽  
Vol 3 (2) ◽  
pp. 215-235 ◽  
Author(s):  
O. Jensen ◽  
V. O. Pannbacker ◽  
E. Mosekilde ◽  
G. Dewel ◽  
P. Borckmans
2003 ◽  
Vol 91 (5) ◽  
Author(s):  
Igal Berenstein ◽  
Lingfa Yang ◽  
Milos Dolnik ◽  
Anatol M. Zhabotinsky ◽  
Irving R. Epstein

Soft Matter ◽  
2020 ◽  
Vol 16 (14) ◽  
pp. 3555-3563 ◽  
Author(s):  
Sifang Chen ◽  
Georg Seelig

We report programmable reaction–diffusion patterns in DNA-based hydrogels, simulated and designed in silico using chemical reaction networks.


1998 ◽  
Vol 11 (4) ◽  
pp. 127-131
Author(s):  
M. Mimura ◽  
M. Nagayama ◽  
K. Sakamoto

1997 ◽  
Vol 07 (12) ◽  
pp. 2807-2825 ◽  
Author(s):  
Alberto P. Muñuzuri ◽  
Leon O. Chua

A detailed description of the stationary patterns observed in one-, two- and three-dimensional bistable reaction–difusion media is presented. Because of the intrinsic nature of the system, no spatial constraints are found and completely new structures arise. The mechanism stabilizing these patterns is similar to the Turing structures case for a monostable media. The most important factors determining the final stationary structures observed are also stressed out.


1998 ◽  
Vol 63 (6) ◽  
pp. 761-769 ◽  
Author(s):  
Roland Krämer ◽  
Arno F. Münster

We describe a method of stabilizing the dominant structure in a chaotic reaction-diffusion system, where the underlying nonlinear dynamics needs not to be known. The dominant mode is identified by the Karhunen-Loeve decomposition, also known as orthogonal decomposition. Using a ionic version of the Brusselator model in a spatially one-dimensional system, our control strategy is based on perturbations derived from the amplitude function of the dominant spatial mode. The perturbation is used in two different ways: A global perturbation is realized by forcing an electric current through the one-dimensional system, whereas the local perturbation is performed by modulating concentrations of the autocatalyst at the boundaries. Only the global method enhances the contribution of the dominant mode to the total fluctuation energy. On the other hand, the local method leads to simple bulk oscillation of the entire system.


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