In this contribution, particle size distributions (PSD) of soil samples are analyzed by fractal methods. Different scaling domains, characterizing different ranges of particle sizes, are identified. Numerical models based on cellular automata are presented with the aim to understand the basic...

It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have been made to provide accurate models. We study here a model which achieves the following challenges: it produces...

The solution structure of simple and complex proteins can be modeled efficaciously, starting either from solution scattering data or from the 3D structures derived from crystallographic work or from electron microscopy. Best fitting low-resolution bead models of proteins in solution can be...

We analyze the return of the S & P 500 index and characterize its evolution as being typical of a low-dimensional recurrent deterministic system. The first Poincaré return time of the chaotic logistic mapping trajectories is used to model the return evolution. The efficiency of the model is...