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Quantitative LEED analysis using a simultaneous optimisation algorithm

AuthorsBlanco-Rey, María; Heinz, Klaus; Andrés, Pedro L. de CSIC ORCID CVN
KeywordsLow-Energy Electron Diffraction
Issue Date29-Jan-2008
AbstractThe performance of a combinatorial simultaneous optimisation algorithm (SO) is tested using experimental LEED I(E) data from Cu(100) and Fe$_{0.57}$Al$_{0.47}$(100) surfaces. SO optimises structures taking advantage of the experimental database at two levels: (i) conmensurate subsets of the database with the number of unknown parameters are chosen to find local solutions using Broyden's method and, (ii) these partial structural solutions are used to build a Markov chain over the whole database. This procedure is of global character, the same as simulated annealing or genetic algorithms methods, but displays a very competitive scaling law because after the first iteration candidates are not chosen by a blind/random pick; they are already solutions to the problem with a restricted experimental database.
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