1,721,057 research outputs found

    Chemical Waves

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    In our paper we try to describe the basic concepts of chemical waves and spatial pattern formation in a simple way. We pay particular attention to self-organisation phenomena in extended excitable systems. These result in the appearance of travelling waves, spiral waves, target patterns, Turing structures or more complicated structures called scroll waves, which are three-dimensional systems. We describe the most famous oscillating reaction, the Belousov–Zhabotinsky (BZ) reaction, in greater detail. This is because it is of great interest in both physical chemistry and in studies on the evolution and sustenance of self-organising biological systems

    On chaotic graphs: A different approach for characterizing aperiodic dynamics

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    Fractal worlds with limited connectivity are the topological result of growing graphs from chaotic series. We show how this model presents original characteristics which cannot be detected by means of the standard network descriptors. In detail, intrinsic inaccessibility to the fully connected configuration is demonstrated to be a universal feature associated with this family of graphs and strictly related to the fractality of a specific ``chaotic source''. Here we discuss the potential of our model to be a generator of fractal graphs and also a self-consistent tool for differentiating chaotic dynamics from stochastic processes

    Butterfly effect in a chemical oscillator

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    The strong sensitivity of aperiodic dynamics to initial conditions is one of the fingerprinting features of chaotic systems. While this dependence can be directly verified by means of numerical approaches, it is quite elusive and difficult to be isolated in real experimental systems. In this paper, we discuss a didactic and self-consistent method to show the divergent behaviour between two infinitesimally different solutions of the famous Belousov–Zhabotinsky oscillator simultaneously undergoing a transition to a chaotic regime. Experimental data are also used to give an intuitive visualization of the essential meaning of a Lyapunov exponent, which allows for a more quantitative characterization of the chaotic transient

    Exergy versus emergy flow in ecosystems: Is there an order in maximazationion?

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    From ecosystems theory, orientors have been derived to give a holistic view of the trend of development of ecosystems themselves. Several principles of maximization, mainly derived from Lotka’s maximum power, are connected with these orientors. Other authors (Jørgensen, Patten and coworkers, for example) have shown that among these orientors there are many common aspects, both form a quantitative terms and in principle. We show how H.T. Odum’s maximum empower and Jørgensen’s maximum exergy principles can be both valid from a practical viewpoint. As suggested by a simple experiment there can be a time order: first the maximization of empower and then the maximization of exergy. This time sequence is also consistent with a maximization trend in the ratio of exergy to empower

    Exploring Gas Evolution Oscillators: Mechanisms and Applications

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    We review an iconic class of chemical oscillators driven by phase transition instabilities, namely Gas Evolution Oscillators (GEOs). These systems show oscillatory dynamics in the delivery of gas sustained simple reactions yielding gaseous products in a liquid mixture, due to nucleation and supersaturation phenomena. After presenting the main features and properties of these systems, we deepen the underlying mechanism through a unified picture of the various models that have been proposed to describe this kind of oscillations. We finally discuss a concrete example of how such instabilities can impact chemical processes with applied relevance
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