Abstract
In this paper, a comparison between the experimental values for the kinetics of the fast redox reaction between Cu2+ and S2O3 2− and some possible variants of analogical modeling and numerical simulation for this pre-equilibrium reaction have been presented. One of them is based on a function with a periodical, strongly under-damped component. For a non-periodical fast damped evolution of reaction between Cu2+ and S2O3 2−, this paper proposes a variant of numerical modeling and simulation based on two exponential functions. For this complex reaction kinetics, the proposed approach based on application of neural networks is an efficient and accurate tool to solve modeling problems. The method ensures a good approximation of the experimental data, with a remarkable flexibility of analyses and synthesis as elaborated in the paper. The associated numerical simulation operates with an easy and flexible program, which allows the change in large limits of some structure parameters, for the adaptation of the numerical results with the experimental measurements.
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Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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