Literature DB >> 25208555

Growth analysis of sodium-potassium alloy clusters from 7 to 55 atoms through a genetic algorithm approach.

M X Silva1, B R L Galvão, J C Belchior.   

Abstract

The potential energy hypersurface associated with sodium-potassium alloy clusters is explored via an enhanced genetic algorithm, where two different operators are added to the standard evolutionary procedure. Based on the recent result that the empirical Gupta many-body potential yields reasonable results for clusters with more than seven atoms, we have employed this function in the evaluation of the energies. Agglomerates from seven to the well-established 55-atom structure are studied, and their second-order energy difference and excess energies are calculated. It is found that the most stable alloys (compared to the homonuclear counterparts) are found with the proportion of sodium atoms in the range of 30 to 40%. The experimental propensity of core-shell segregation is successfully predicted by the current approach.

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Year:  2014        PMID: 25208555     DOI: 10.1007/s00894-014-2421-3

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  17 in total

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Journal:  J Chem Phys       Date:  2011-01-28       Impact factor: 3.488

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6.  Prediction of the lowest energy structure of clusters using a genetic algorithm.

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7.  Theoretical study of small sodium-potassium alloy clusters through genetic algorithm and quantum chemical calculations.

Authors:  Mateus X Silva; Breno R L Galvão; Jadson C Belchior
Journal:  Phys Chem Chem Phys       Date:  2014-05-21       Impact factor: 3.676

8.  Identifying structural and energetic trends in isovalent core-shell nanoalloys as a function of composition and size mismatch.

Authors:  Andrés Aguado; José M López
Journal:  J Chem Phys       Date:  2011-10-07       Impact factor: 3.488

9.  Static dipole polarizability and binding energy of sodium clusters Nan (n=1-10): A critical assessment of all-electron based post Hartree-Fock and density functional methods.

Authors:  K R S Chandrakumar; Tapan K Ghanty; Swapan K Ghosh
Journal:  J Chem Phys       Date:  2004-04-08       Impact factor: 3.488

10.  Search for the Lin(0/+1/-1) (n = 5-7) Lowest-Energy Structures Using the ab Initio Gradient Embedded Genetic Algorithm (GEGA). Elucidation of the Chemical Bonding in the Lithium Clusters.

Authors:  Anastassia N Alexandrova; Alexander I Boldyrev
Journal:  J Chem Theory Comput       Date:  2005-07       Impact factor: 6.006

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  1 in total

1.  A New Genetic Algorithm Approach Applied to Atomic and Molecular Cluster Studies.

Authors:  Frederico T Silva; Mateus X Silva; Jadson C Belchior
Journal:  Front Chem       Date:  2019-11-05       Impact factor: 5.221

  1 in total

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