peer-reviewedWe present a numerical framework for solving localized pattern structures of reaction-diffusion type far from the Turing regime. We exploit asymptotic structure in a set of well established pattern formation problems to analyze a singular limit model that avoids time and space adaptation typically associated to full numerical simulations of the same problems. The singular model involves the motion of a curve on which one of the chemical species is concentrated. The curve motion is non-local with an integral equation that has a logarithmic singularity. We generalize our scheme for various reaction terms and show its robustness to other models with logarithmic singularity structures. One such model is the 2D Mullins-Sekerka flow ...
Abstract Asymmetric spike patterns are constructed for the two-component Schnakenburg reaction-diffu...
Reaction-diffusion (RD) systems are indispensable models to understand pattern formation. To reprod...
Reaction-diffusion equations are ubiquitous as models of biological pattern formation. In a recent p...
We present a numerical framework for solving localized pattern structures of reaction-diffusion type...
In this thesis we present an analysis of the Gierer-Meinhardt model with saturation (GMS) on various...
In this thesis we analyse three different reaction-diffusion models These are: the Gray-Scott model...
In this thesis we investigate strongly localized solutions to systems of singularly perturbed reacti...
summary:The paper deals with the issue of self-organization in applied sciences. It is particularly ...
summary:The paper deals with the issue of self-organization in applied sciences. It is particularly ...
In the first part of this thesis, we study the existence and stability of multi-spot patterns on the...
summary:We study systems of two nonlinear reaction-diffusion partial differential equations undergoi...
A synthesis is presented of recent work by the authors and others on the formation of localised patt...
When the thickness of the interface (denoted by ε) tends to zero, any stable stationary internal lay...
Reaction-diffusion (RD) systems are indispensable models to understand pattern formation. To reprod...
AbstractThere are two simple solutions to reaction–diffusion systems with limit-cycle reaction kinet...
Abstract Asymmetric spike patterns are constructed for the two-component Schnakenburg reaction-diffu...
Reaction-diffusion (RD) systems are indispensable models to understand pattern formation. To reprod...
Reaction-diffusion equations are ubiquitous as models of biological pattern formation. In a recent p...
We present a numerical framework for solving localized pattern structures of reaction-diffusion type...
In this thesis we present an analysis of the Gierer-Meinhardt model with saturation (GMS) on various...
In this thesis we analyse three different reaction-diffusion models These are: the Gray-Scott model...
In this thesis we investigate strongly localized solutions to systems of singularly perturbed reacti...
summary:The paper deals with the issue of self-organization in applied sciences. It is particularly ...
summary:The paper deals with the issue of self-organization in applied sciences. It is particularly ...
In the first part of this thesis, we study the existence and stability of multi-spot patterns on the...
summary:We study systems of two nonlinear reaction-diffusion partial differential equations undergoi...
A synthesis is presented of recent work by the authors and others on the formation of localised patt...
When the thickness of the interface (denoted by ε) tends to zero, any stable stationary internal lay...
Reaction-diffusion (RD) systems are indispensable models to understand pattern formation. To reprod...
AbstractThere are two simple solutions to reaction–diffusion systems with limit-cycle reaction kinet...
Abstract Asymmetric spike patterns are constructed for the two-component Schnakenburg reaction-diffu...
Reaction-diffusion (RD) systems are indispensable models to understand pattern formation. To reprod...
Reaction-diffusion equations are ubiquitous as models of biological pattern formation. In a recent p...