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Nonlinear system electrolyte nonlinearity

Oscillations have been observed in chemical as well as electrochemical systems [Frl, Fi3, Wol]. Such oscillatory phenomena usually originate from a multivariable system with extremely nonlinear kinetic relationships and complicated coupling mechanisms [Fr4], Current oscillations at silicon electrodes under potentio-static conditions in HF were already reported in one of the first electrochemical studies of silicon electrodes [Tul] and ascribed to the presence of a thin anodic silicon oxide film. In contrast to the case of anodic oxidation in HF-free electrolytes where the oscillations become damped after a few periods, the oscillations in aqueous HF can be stable over hours. Several groups have studied this phenomenon since this early work, and a common understanding of its basic origin has emerged, but details of the oscillation process are still controversial. [Pg.89]

This is the case for CdS in acidic or basic aqueous solution where photocurrents are nonlinear at low-light intensities and the dependence of on pH is non-Nernstian. (20) Recent observations by Bard and Wrighton(14,15) indicate that Fermi level pinning and therefore supra-band edge charge transfer can occur in Si and GaAs in those systems (i.e., CH CN/t n-Bu NjClO ) with various redox couples where little electrolyte interaction is anticipated. [Pg.87]

With regard to real electrolytes, mixtures of charged hard spheres with dipolar hard spheres may be more appropriate. Again, the MSA provides an established formalism for treating such a system. The MSA has been solved analytically for mixtures of charged and dipolar hard spheres of equal [174, 175] and of different size [233,234]. Analytical means here that the system of integral equations is transformed to a system of nonlinear equations, which makes applications in phase equilibrium calculations fairly complex [235]. [Pg.34]

The properties characteristic for electrochemical nonlinear phenomena are determined by the electrical properties of electrochemical systems, most importantly the potential drop across the electrochemical double layer at the working electrode (WE). Compared to the characteristic length scales of the patterns that develop, the extension of the double layer perpendicular to the electrode can be ignored.2 The potential drop across the double layer can therefore be lumped into one variable, DL, and the temporal evolution law of DL at every position r along the (in general two-dimensional) electrode electrolyte interface is the central equation of any electrochemical model describing pattern formation.3 It results from a local charge bal-... [Pg.95]

The simplest nonlinear phenomenon is bistability of stationary states. It arises already in one-variable systems. In N-NDR systems this variable is the double layer potential, DL, and bistability is encountered under galvanostatic control and under potentiostatic control if the electrolyte resistance exceeds a critical value. [Pg.113]

This list of examples in which small perturbations of the chemical composition of the electrolyte qualitatively changed the nonlinear dynamics demonstrates how intricate the repercussion of interfacial reaction steps on temporal motions can be. It is likely that in all of the mentioned systems the basic instability is the same and can be understood in terms of the interaction of (a) surface poisoning by the indirect path (b) replenishing of the surface by the reaction between CO and surface bonded... [Pg.141]

Using these methods to describe an aqueous electrolyte system with its associated chemical equilibria involves a unique set of highly nonlinear algebraic equations for each set of interest, even if not incorporated within the framework of a complex fractionation program. To overcome this difficulty, Zemaitis and Rafal (8) developed an automatic system, ECES, for finding accurate solutions to the equilibria of electrolyte systems which combines a unified and thermodynamically consistent treatment of electrolyte solution data and theory with computer software capable of automatic program generation from simple user input. [Pg.305]

Nanocrystalline systems display a number of unusual features that are not fully understood at present. In particular, further work is needed to clarify the relationship between carrier transport, trapping, inter-particle tunnelling and electron-electrolyte interactions in three dimensional nan-oporous systems. The photocurrent response of nanocrystalline electrodes is nonlinear, and the measured properties such as electron lifetime and diffusion coefficient are intensity dependent quantities. Intensity dependent trap occupation may provide an explanation for this behaviour, and methods for distinguishing between trapped and mobile electrons, for example optically, are needed. Most models of electron transport make a priori assumptions that diffusion dominates because the internal electric fields are small. However, field assisted electron transport may also contribute to the measured photocurrent response, and this question needs to be addressed in future work. [Pg.278]

When two electrolyte solutions at different concentrations are separated by an ion--permeable membrane, a potential difference is generally established between the two solutions. This potential difference, known as membrane potential, plays an important role in electrochemical phenomena observed in various biomembrane systems. In the stationary state, the membrane potential arises from both the diffusion potential [1,2] and the membrane boundary potential [3-6]. To calculate the membrane potential, one must simultaneously solve the Nernst-Planck equation and the Poisson equation. Analytic formulas for the membrane potential can be derived only if the electric held within the membrane is assumed to be constant [1,2]. In this chapter, we remove this constant held assumption and numerically solve the above-mentioned nonlinear equations to calculate the membrane potential [7]. [Pg.535]

Johan, M. R., Ibrahim, S. (2012). Optimization of neural network for ionic conductivity of nanocomposite solid polymer electrolyte system (PE0-L1PF6-EC-CNT), Common. Nonlinear Sci. Numer. Simul. 17(1), 329-340. [Pg.943]

Bioimmittance is frequency dependent. In dielectric or electrolytic models there is a choice between a step (relaxational) and sinusoidal (single-frequency) waveform excitation. As long as the step response waveform is exponential and linear conditions prevail, the information gathered is the same. At high voltage and current levels, the system is nonlinear, and models and parameters must be chosen with care. Results obtained with one variable cannot necessarily be recalculated to other forms. In some cases, one single pulse may be the best waveform because it limits heat and sample destruction. [Pg.3]

The bulk electrolyte solution obeys Ohm s law (Eq. 2.2), which is linear. If the E-field changes flie viscosity t) in Eq. 2.6 or the number of ions per volume n in Eq. 2.1, then the system is nonlinear and does not obey Ohm s law (Wien, 1928 Onsager, 1934). This will... [Pg.318]

Electrolytic effects are related to DC, applied or rectified by nonlinear effects at the electrodes or in the tissue. Also with very low-frequency AC (e.g., <10 Hz), each half period may last so long as to cause considerable nonreversible electrolytic effects. With large quantities of electricity (Q = It) passed, the electrolytic effects may be systemic and dangerous (lightning and high-voltage accidents). The risk of skin chemical bums is greater under the cathode (alkali formation) than the anode (acid formation), the natural skin pH is on the acidic side (pH < 5.5). [Pg.488]

The Equilibrium Debye Layer Suppose that the system is in the steady state and that there is no fluid flow or imposed electric fields. Further suppose that the geometry is such that the electrolyte-substrate interface is an iso-surface of /k. Then, it readily follows from Eqs. 5 and 10 and the boundary condition of no flux into the wall that V /k = 0 everywhere. Therefore, nk = n °° exp(-Zke4>/A BT) where nk °° is the ion concentration where the potential 4) = 0, usually chosen as a point very far from the wall. Using the solution for nk in the charge density pe and substituting in Eq. 4, we get the nonlinear Poisson-Boltzmann equation for determining the potential... [Pg.787]


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See also in sourсe #XX -- [ Pg.318 ]




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