Numerical approximation of a 3D mechanochemical interface model for skin patterning

We introduce a model for the mass transfer of molecular activators and inhibitors in two media separated by an interface, and study its interaction with the deformations exhibited by the two-layer skin tissue where they occur. The mathematical model results in a system of nonlinear advection-diffusi...

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Bibliographic Details
Published inJournal of computational physics Vol. 384; pp. 383 - 404
Main Authors De Oliveira Vilaca, Luis Miguel, Milinkovitch, Michel C., Ruiz-Baier, Ricardo
Format Journal Article
LanguageEnglish
Published Cambridge Elsevier Inc 01.05.2019
Elsevier Science Ltd
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Summary:We introduce a model for the mass transfer of molecular activators and inhibitors in two media separated by an interface, and study its interaction with the deformations exhibited by the two-layer skin tissue where they occur. The mathematical model results in a system of nonlinear advection-diffusion–reaction equations including cross-diffusion, and coupled with an interface elasticity problem. We propose a Galerkin method for the discretisation of the set of governing equations, involving also a suitable Newton linearisation, partitioned techniques, non-overlapping Schwarz alternating schemes, and high-order adaptive time stepping algorithms. The experimental accuracy and robustness of the proposed partitioned numerical methods is assessed, and some illustrating tests in 2D and 3D are provided to exemplify the coupling effects between the mechanical properties and the advection-diffusion–reaction interactions involving the two separate layers. •A new model for the interaction of morphogens and deformation of two-layered tissue.•Coupling of the elasticity and reaction–diffusion blocks through non-overlapping Schwarz domain decomposition.•High-order adaptive time stepping based on local indicators.•Computational tests evaluating the spatio-temporal accuracy and efficiency of the finite element schemes.•Numerical tests illustrating the properties of the model.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2019.01.023