Spectral properties of hyperbolic nano-networks with tunable aggregation of simplexes
arXiv:1905.09579 · doi:10.1103/PhysRevE.100.012309
Abstract
Cooperative self-assembly can result in complex nano-networks with new hyperbolic geometry. However, the relation between the hyperbolicity and spectral and dynamical features of these structures remains unclear. Using the model of aggregation of simplexes introduced in I [Sci. Rep., 8:1987, 2018], here we study topological and spectral properties of a large class of self-assembled structures consisting of monodisperse building blocks (cliques of size ) which self-assemble via sharing the geometrical shapes of a lower order. The size of the shared sub-structure is tunned by varying the chemical affinity such that for significant positive sharing the largest face is the most probable, while for , attaching via a single node dominates. Our results reveal that, while the parameter of hyperbolicity remains across the assemblies, their structure and spectral dimension vary with the size of cliques and the affinity when . In this range, we findthat can be reached for and sufficiently large . For the aggregates of triangles and tetrahedra, the spectral dimension remains in the range , as well as for the higher cliques at vanishing affinity. On the other end, for , we find independently on . Moreover, the spectral distribution of the normalised Laplacian eigenvalues has a characteristic shape with peaks and a pronounced minimum, representing the hierarchical architecture of the simplicial complexes. These findings show how the structures compatible with complex dynamical properties can be assembled by controlling the higher-order connectivity among the building blocks.
arXiv comment9 pages, 7 figures included
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