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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Damping and clustering into crowded environment of catalytic chemical oscillators

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Author(s):
Echeverria, Carlos [1] ; Herrera, Jose L. [2, 1] ; Alvarez-Llamoza, Orlando [3] ; Morales, Miguel [4] ; Tucci, Kay [1, 5]
Total Authors: 5
Affiliation:
[1] Univ Los Andes, Fac Ingn, CeSiMo, Merida 5101 - Venezuela
[2] IFT UNESP, ICTP South Amer Inst Fundamental Res, BR-01440070 Sao Paulo, SP - Brazil
[3] Univ Catalica Cuenca, Grp Invest Simulac Modelado Anal & Accesibilidad, Cuenca 010105 - Ecuador
[4] Univ Politecn Sinaloa, Unidad Acad Ingn Nanotecnol, Mazatlan 82199, Sinaloa - Mexico
[5] Univ Los Andes, Fac Ciencias, SUMA, Merida 5101 - Venezuela
Total Affiliations: 5
Document type: Journal article
Source: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 517, p. 297-306, MAR 1 2019.
Web of Science Citations: 0
Abstract

A system formed by a crowded environment of catalytic obstacles and complex oscillatory chemical reactions is studied. The obstacles are static spheres of equal radius, which are placed in a random way. The chemical reactions are carried out in a fluid following a multiparticle collision scheme where the mass, energy and local momentum are conserved. Firstly, it is explored how the presence of catalytic obstacles changes the oscillatory dynamics from a limit cycle to a fixed point reached after a damping. The damping is characterized by the decay constant, which grows linearly with volume fraction for low values of the mesoscale collision time and the catalytic reaction constant. Additionally, it is shown that, although the distribution of obstacles is random, there are regions in the system where the catalytic chemical reactions are favored. This entails that in average the radius of gyrations of catalytic chemical reaction does not match with the radius of gyration of obstacles, that is, clusters of reactions emerge on the catalytic obstacles, even when the diffusion is significant. (C) 2018 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 17/00344-2 - Approaching complex networks for time series analysis
Grantee:Jose Luis Herrera Diestra
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/01343-7 - ICTP South American Institute for Fundamental Research: a regional center for theoretical physics
Grantee:Nathan Jacob Berkovits
Support Opportunities: Special Projects