Introduction to self-organization in chemical and electrochemical systems

Orlik, Marek

doi:10.1007/s10008-015-3024-3

Cited by 7 publications

(6 citation statements)

References 13 publications

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“…41,42 Though in the literature this is often only explained in terms of binding of an intermediate to the catalyst surface, a more sophisticated treatment of such observations can be found in oscillating electrochemical reactions. [43][44][45][46] Generally, oscillating (electro)chemical reactions, like the Belousov-Zhabotinsky reaction, are based on an auto-catalytic step in the reaction mechanism itself. Such behavior can be described in more simplified reaction schemes/ kinetics like the Bruesselator or the Oregonator.…”

Section: Resultsmentioning

confidence: 99%

Tuning the selectivity of biomass oxidation over oxygen evolution on NiO–OH electrodes

et al. 2021

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Section: Resultsmentioning

confidence: 99%

Tuning the selectivity of biomass oxidation over oxygen evolution on NiO–OH electrodes

et al. 2021

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“…The next level of self-organization, chemistry, was described by Orlik in his “Introduction to self-organization in chemical and electrochemical systems” [ 36 ].…”

Section: Foundations Of Cognition: Self-organization and Autopoiesismentioning

confidence: 99%

Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Dodig-Crnković

2022

Entropy

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Cognition, historically considered uniquely human capacity, has been recently found to be the ability of all living organisms, from single cells and up. This study approaches cognition from an info-computational stance, in which structures in nature are seen as information, and processes (information dynamics) are seen as computation, from the perspective of a cognizing agent. Cognition is understood as a network of concurrent morphological/morphogenetic computations unfolding as a result of self-assembly, self-organization, and autopoiesis of physical, chemical, and biological agents. The present-day human-centric view of cognition still prevailing in major encyclopedias has a variety of open problems. This article considers recent research about morphological computation, morphogenesis, agency, basal cognition, extended evolutionary synthesis, free energy principle, cognition as Bayesian learning, active inference, and related topics, offering new theoretical and practical perspectives on problems inherent to the old computationalist cognitive models which were based on abstract symbol processing, and unaware of actual physical constraints and affordances of the embodiment of cognizing agents. A better understanding of cognition is centrally important for future artificial intelligence, robotics, medicine, and related fields.

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“…Therefore, there is no contradiction to the second law of thermodynamics. That is to say, a self-organization process must be always accompanied by a parallel dissipative process overcompensating the decrease in entropy due to pattern formation [ 7 ]. This principle is generally implemented during the construction of a conventional electrochemical cell for the synthesis of well-ordered PAA.…”

Section: Electrochemical Cell Construction According To Some Fundamental Principles Of Dissipative Thermodynamicsmentioning

confidence: 99%

“…Actually, if a dynamic system exhibits temporal oscillatory behavior, this typically indicates that there exist properly operating (fast positive and slow negative) feedback loops [ 6 ]. Such oscillations usually appear upon the increase in the corresponding operating parameters (e.g., temperature T or applied voltage ∆ U ) to the values required to bring a system out of its trivial stable steady-state toward a so-called “unstable steady-state”, where self-organization occurs [ 7 ]. In this connection, it must be noted that self-organized honeycomb-like patterns on anodized aluminum commonly arise at voltages one or two orders of magnitude higher than typically required for the classical electrochemical method (e.g., 25–160 V for achieving 50–420 nm interpore distances [ 8 ], or even 260–450 V for increasing the cell diameter in PAA up to 1.1 µm [ 9 ]).…”

Section: Introductionmentioning

confidence: 99%

Conceptual Progress for Explaining and Predicting Self-Organization on Anodized Aluminum Surfaces

Pashchanka

2021

Nanomaterials

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Over the past few years, researchers have made numerous breakthroughs in the field of aluminum anodizing and faced the problem of the lack of adequate theoretical models for the interpretation of some new experimental findings. For instance, spontaneously formed anodic alumina nanofibers and petal-like patterns, flower-like structures observed under AC anodizing conditions, and hierarchical pores whose diameters range from several nanometers to sub-millimeters could be explained neither by the classical field-assisted dissolution theory nor by the plastic flow model. In addition, difficulties arose in explaining the basic indicators of porous film growth, such as the nonlinear current–voltage characteristics of electrochemical cells or the evolution of hexagonal pore patterns at the early stages of anodizing experiments. Such a conceptual crisis resulted in new multidisciplinary investigations and the development of novel theoretical models, whose evolution is discussed at length in this review work. The particular focus of this paper is on the recently developed electroconvection-based theories that allowed making truly remarkable advances in understanding the porous anodic alumina formation process in the last 15 years. Some explanation of the synergy between electrode reactions and transport processes leading to self-organization is provided. Finally, future prospects for the synthesis of novel anodic architectures are discussed.

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Introduction to self-organization in chemical and electrochemical systems

Cited by 7 publications

References 13 publications

Tuning the selectivity of biomass oxidation over oxygen evolution on NiO–OH electrodes

Tuning the selectivity of biomass oxidation over oxygen evolution on NiO–OH electrodes

Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Conceptual Progress for Explaining and Predicting Self-Organization on Anodized Aluminum Surfaces

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