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Quantitative LEED analysis using a simultaneous optimisation algorithm

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dc.creator Blanco-Rey, María
dc.creator Heinz, Klaus
dc.creator Andres, P. L. de
dc.date 2008-01-29T13:52:17Z
dc.date 2008-01-29T13:52:17Z
dc.date 2008-01-29T13:52:17Z
dc.date.accessioned 2017-01-31T00:59:50Z
dc.date.available 2017-01-31T00:59:50Z
dc.identifier http://hdl.handle.net/10261/2758
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2758
dc.description The 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.
dc.description Financed by CYCIT (MAT-2005-3866) and MEC (CONSOLIDER NANOSELEC-26400)
dc.format 249808 bytes
dc.format application/pdf
dc.language eng
dc.rights openAccess
dc.subject Low-Energy Electron Diffraction
dc.title Quantitative LEED analysis using a simultaneous optimisation algorithm
dc.type Artículo


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