The dynamics of the Liesegang type pattern formation is investigated in a centrally symmetric two-dimensional setup. According to the observations in real experiments, the qualitative change of the dynamics is exhibited for slightly different initial conditions. Two kinds of chemical mechanisms are studied; in both cases the pattern formation is described using a phase separation model including the Cahn-Hilliard equations. For the numerical simulations we make use of a recent adaptive grid PDE method, which successfully deals with the computationally critical cases such as steep gradients in the concentration distribution and investigation of long time behavior. The numerical simulations show a good agreement with the real experiments
Liesegang pattern (LP) is one example of self-organized periodic precipitation patterns in nonequili...
The focus of this thesis is the study of the evolution of two models adopted in the context of phase...
Various types of pattern formation and self-organization phenomena can be observed in biological, ch...
The dynamics of the Liesegang type pattern formation is investigated in a centrally symmetric two-di...
The dynamics of the Liesegang type pattern formation is investi- gated in a centrally symmetric two-...
Abstract. The dynamics of the Liesegang type pattern formation is investigated in a centrally symmet...
The dynamics of the Liesegang type pattern formation is investi-gated in a centrally symmetric two-d...
Abstract. In this article different mathematical models of the Liesegang phenomenon are exhibited. T...
We investigate the regular and moving Liesegang pattern formation phenomena in an open system. First...
In this article different mathematical models of the Liesegang phenomenon are exhibited. The main pr...
Radially symmetric pattern formation phenomena were investigated experimentally and numerically in 2...
Simulations of the Liesegang pattern formation are presented that are based on a discrete stochastic...
In this article different mathematical models of the Liesegang phenomenon are exhibited. The main pr...
Liesegang patterns emerge from precipitation processes and may be used to build bulk structures at s...
In the past years considerable attention has been devoted to designing and controlling patterns at t...
Liesegang pattern (LP) is one example of self-organized periodic precipitation patterns in nonequili...
The focus of this thesis is the study of the evolution of two models adopted in the context of phase...
Various types of pattern formation and self-organization phenomena can be observed in biological, ch...
The dynamics of the Liesegang type pattern formation is investigated in a centrally symmetric two-di...
The dynamics of the Liesegang type pattern formation is investi- gated in a centrally symmetric two-...
Abstract. The dynamics of the Liesegang type pattern formation is investigated in a centrally symmet...
The dynamics of the Liesegang type pattern formation is investi-gated in a centrally symmetric two-d...
Abstract. In this article different mathematical models of the Liesegang phenomenon are exhibited. T...
We investigate the regular and moving Liesegang pattern formation phenomena in an open system. First...
In this article different mathematical models of the Liesegang phenomenon are exhibited. The main pr...
Radially symmetric pattern formation phenomena were investigated experimentally and numerically in 2...
Simulations of the Liesegang pattern formation are presented that are based on a discrete stochastic...
In this article different mathematical models of the Liesegang phenomenon are exhibited. The main pr...
Liesegang patterns emerge from precipitation processes and may be used to build bulk structures at s...
In the past years considerable attention has been devoted to designing and controlling patterns at t...
Liesegang pattern (LP) is one example of self-organized periodic precipitation patterns in nonequili...
The focus of this thesis is the study of the evolution of two models adopted in the context of phase...
Various types of pattern formation and self-organization phenomena can be observed in biological, ch...