Angel Ribalta

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In this work we describe the parallelization concepts of our finite element software AMDiS [7], which is a C++ toolbox for solving systems of partial differential equations. It uses adaptive mesh refinement based on local error estimates, to keep the number of unknowns as small as possible. Bank and Holst [2] introduced a new approach for parallelizing such(More)
We consider the heteroepitaxial growth of thin films by numerical simulations within a diffuse interface model. The model is applicable to describe the self-organization of nanostructures. The influence of strain, surface energies and kinetics on the surface evolution is considered. A matched asymptotic analysis shows the formal convergence of an(More)
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