Abstract
Superballs represent a class of particles whose shapes are defined by the domain , with being the deformation parameter. represents a family of hexapodlike (concave octahedral-like) particles, and represent, respectively, families of convex octahedral-like and cubelike particles, with , and representing spheres, octahedra, and cubes. Colloidal zeolite suspensions, catalysis, and adsorption, as well as biomedical magnetic nanoparticles are but a few of the applications of packing of superballs. We introduce a universal method for simulating random sequential adsorption of superballs, which we refer to as the low-entropy algorithm, which is about two orders of magnitude faster than the conventional algorithms that represent high-entropy methods. The two algorithms yield, respectively, precise estimates of the jamming fraction and , the exponent that characterizes the kinetics of adsorption at long times , . Precise estimates of and are obtained and shown to be in agreement with the existing analytical and numerical results for certain types of superballs.
- Received 29 May 2019
DOI:https://doi.org/10.1103/PhysRevE.100.020602
©2019 American Physical Society