  The growing need for creating surfaces with specific wetting properties, such
as superhyrdophobic behavior, asks for novel methods for their efficient
design. In this work, a fast computational method for the evaluation of
patterned superhyrdophobic surfaces is introduced. The hydrophobicity of a
surface is quantified in energy terms through an objective function. The
increased computational cost led to the parallelization of the method with the
Message Passing Interface (MPI) communication protocol that enables
calculations on distributed memory systems allowing for parametric
investigations at acceptable time frames. The method is demonstrated for a
surface consisting of an array of pillars with inverted conical (frustum)
geometry. The parallel speedup achieved allows for low cost parametric
investigations on the effect of the fine features (curvature and slopes) of the
pillars on the superhydophobicity of the surface and consequently for the
optimization of superhyrdophobic surfaces.
