A New Approach to Estimation of the Electrocrystallization Parameters

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@Article{JingxianYu:1999:EAC,
  author =       "Jingxian Yu and Hongqing Cao and Yongyan Chen and 
                 Lishan Kang and Hanxi Yang",
  title =        "A New Approach to Estimation of the
                 Electrocrystallization Parameters",
  journal =      "Journal of Electroanalytical Chemistry",
  year =         "1999",
  volume =       "474",
  number =       "1",
  pages =        "69--73",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming,
                 Electrocrystallization parameters, Zinc, Parameters
                 estimation",
  ISSN =         "1572-6657",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0022072899003071",
  DOI =          "doi:10.1016/S0022-0728(99)00307-1",
  size =         "5 pages",
  abstract =     "To overcome the drawbacks in estimating
                 electrocrystallization parameters using traditional
                 methods, we propose a genetic algorithm using a novel
                 crossover operator based on the non-convex linear
                 combination of multiple parents to estimate the
                 electrocrystallisation parameters A (the nucleation
                 rate constant), N0 (the nucleation density) and D (the
                 diffusion coefficient of Zn2+ ions) simultaneously in
                 the general current-time expression of Scharifker and
                 Mostany for nucleation and growth by fitting the whole
                 current transients for zinc electrodeposition onto
                 glassy carbon electrode immersed in the acetate
                 solutions. By running the algorithm, we obtained for
                 different step potentials, D values close to
                 2.10cm2/sec/1000000, which are comparable to reported
                 values. The values of A obtained for all step
                 potentials are identical, 1.41/sec/1000000000, which
                 indicates that zinc deposition onto glassy carbon
                 electrode follows three-dimensional instantaneous
                 nucleation and growth. In addition, from the values of
                 N0 obtained, one can observe that an increase in step
                 potential leads to a higher N0. These results show that
                 our algorithm works stably and effectively in solving
                 the problem of estimating the electrocrystallisation
                 parameters, and more importantly, it can be extended
                 easily to a general algorithm to estimate multiple
                 parameters in an arbitrary chemical model.",
}

Genetic Programming entries for Jingxian Yu Hong-Qing Cao Yongyan Chen Li-Shan Kang Hanxi Yang

Citations