2011
DOI: 10.1002/jcc.21987
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On the use of big‐bang method to generate low‐energy structures of atomic clusters modeled with pair potentials of different ranges

Abstract: The efficiency of the so-called big-bang method for the optimization of atomic clusters is analysed in detail for Morse pair potentials with different ranges; here, we have used Morse potentials with four different ranges, from long- ρ = 3) to short-ranged ρ = 14) interactions. Specifically, we study the efficacy of the method in discovering low-energy structures, including the putative global minimum, as a function of the potential range and the cluster size. A new global minimum structure for long-ranged ρ =… Show more

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Cited by 17 publications
(10 citation statements)
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“…Although we focus our attention on the LJ potential, our results seem to hold for other potentials as well. In particular, we tested our procedure for the Morse potential, [18,19] which by means of a single parameter q determines the range of the interaction, and thus adds flexibility to the model. It is given by…”
Section: Seeds and The Size Of The Initial Boxmentioning
confidence: 99%
See 1 more Smart Citation
“…Although we focus our attention on the LJ potential, our results seem to hold for other potentials as well. In particular, we tested our procedure for the Morse potential, [18,19] which by means of a single parameter q determines the range of the interaction, and thus adds flexibility to the model. It is given by…”
Section: Seeds and The Size Of The Initial Boxmentioning
confidence: 99%
“…In fact, it seems to be transferable, and to this effect we will also provide results obtained, by means of our strategy, for another wellestablished potential: the one due to Morse. [18,19] Moreover, the procedure is not restricted to classical potentials, to which we limit ourselves for the time being, but we have obtained some preliminary results for small clusters using it in combination with ab initio calculations.…”
Section: Introductionmentioning
confidence: 99%
“…[15,16] and references therein). Clearly, EAs are among the best methods for global geometry optimization of clusters, and they are known to over perform random search algorithms, like the so-called big-bang method [17], as we have shown in a recent work [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…Optimization algorithms, such as GA [16,23], the basin-hopping Monte Carlo algorithm [24,25], and adaptive immune optimization algorithm (AIOA) [15,26,27] have been developed for the optimization of binary clusters. Recently, the efficiency of the bigbang method for the optimization of atomic clusters was analyzed in detail for Morse pair potentials with different parameters ranges [28]. For geometry optimization of bimetallic clusters, Lai et al [29] proposed an efficient heuristic algorithm composed of three ingredients: a monotonic basin-hopping method with guided perturbation (MBH-GP), a surface optimization method, and an iterated local search (ILS) method, where MBH-GP and surface optimization method are used to optimize the geometric structure of a cluster, and the ILS method is used to search the optimal homotop for a fixed geometric structure.…”
Section: Introductionmentioning
confidence: 99%