High-Performance Supercomputer Technologies of Simulation and Identification of Nanoporous Systems with Feedback for n-Component Competitive Adsorption
High-performance supercomputer computing technologies have been developed to model and identify the parameters of complex n-component competitive adsorption processes in nanoporous cybersystems with feedback. Using the Laplace transform and the Heaviside operating method with the decomposition of a...
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Veröffentlicht in: | Cybernetics and systems analysis 2021-03, Vol.57 (2), p.316-328 |
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creator | Petryk, M. R. Boyko, I. V. Khimich, O. M. Petryk, M. M. |
description | High-performance supercomputer computing technologies have been developed to model and identify the parameters of complex n-component competitive adsorption processes in nanoporous cybersystems with feedback. Using the Laplace transform and the Heaviside operating method with the decomposition of a nonlinear system with Langmuir-type adsorption equilibrium conditions, an efficient parallelization of the vector components of the model solution is proposed. The results of numerical experiments based on parallel computations using multicore computers are presented. |
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subjects | Adsorption Analysis Artificial Intelligence Control Equilibrium conditions Feedback Laplace transforms Mathematics Mathematics and Statistics Nonlinear systems Parallel processing Parameter identification Processor Architectures Software Engineering/Programming and Operating Systems Software–Hardware Systems Supercomputers Systems Theory |
title | High-Performance Supercomputer Technologies of Simulation and Identification of Nanoporous Systems with Feedback for n-Component Competitive Adsorption |
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