Automated Cloud Computing Approach for the Simulation of Chemo-Hydrodynamic Problems

Studying the interplay between hydrodynamic instabilities and chemical reactions is attracting increasing interest because of its transversal impact ranging from fundamental to applied science. Depending on the case of study, the exploration of Reaction-Diffusion-Convection (RDC) dynamics over a significant spatio-Temporal domain can be computationally expensive and convergence issues may arise in the presence of steep gradients of the chemical or the hydrodynamic fields. Cloud automation techniques allow to create in an easy and dynamical way an arbitrarily large number of virtual nodes, tailored on the specific problem at hands. In this work we show the first steps towards a fully automated and flexible platform for the simulation of chemo-hydrodynamic problems in a cloud environment.