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Exponentially expanded grid network approach (EEGNA): An efficient way for the simulation of stiff electrochemical problems
Author(s) -
Deng ZhaoXiang,
Lin XiangQin,
Tong ZhongHua
Publication year - 2003
Publication title -
chinese journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 41
eISSN - 1614-7065
pISSN - 1001-604X
DOI - 10.1002/cjoc.20030210908
Subject(s) - chemistry , grid , exponential growth , electrochemistry , homogeneous , diffusion , stability (learning theory) , dispersion (optics) , space (punctuation) , electrode , computer simulation , mathematics , mechanics , statistical physics , thermodynamics , mathematical analysis , computer science , geometry , physics , optics , machine learning , operating system
The exponentially expanded space grid was incorporated into the network approach to overcome the problem of low simulation efficiency during the simulations of electrochemical problems with stiff kinetics or wide dispersion of diffusion coefficients, resulting in an effective electrochemical simulation method: exponentially expanded grid network approach (EEGNA). The stability and accuracy of the EEGNA for the simulation of various electrode processes coupled with different types of homogeneous reactions were investigated.