The ongoing transition to renewable energy supply comes with a restructuring of power
grids, changing their effective interaction topologies, more and more strongly decentralizing …

Nature is a blossoming of regular structures, signature of self-organization of the underlying
microscopic interacting agents. Turing theory of pattern formation is one of the most studied …

Several mechanisms have been proposed to explain the spontaneous generation of self-
organised patterns, hypothesised to play a role in the formation of many of the magnificent …

Although there is general agreement that the network plays an essential role in the
biological system, how the connection probability of network affects the natural model …

The process of pattern formation for a multispecies model anchored on a time varying
network is studied. A nonhomogeneous perturbation superposed to an homogeneous stable …

Mechanisms of pattern formation—of which the Turing instability is an archetype—constitute
an important class of dynamical processes occurring in biological, ecological, and chemical …

It is an established fact that a positive wave number plays an essential role in Turing
instability. However, the impact of a negative wave number on Turing instability remains …

The goal of this paper is to expand graph signal processing tools to deal with cases where
the graph topology is not perfectly known. Assuming that the uncertainty affects only a …

New X-ray and neutron diffraction experiments have been performed on ethanol–water
mixtures as a function of decreasing temperature, so that such diffraction data are now …

Turing patterns for explaining spatial distribution in nature mostly focus on continuous media
and existing networks, but only few attempts exist to study them on systems with high-order …