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Locatelli, Marco; Schoen, Fabio

doi:10.1023/a:1013596313166

Cited by 52 publications

(17 citation statements)

References 16 publications

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“…14,[35][36][37] The compression of the cluster reduces the number of stationary points and, for the double-funnel 38-atom cluster, causes the energy landscape to become dominated by the funnel associated with the global minimum. 38 In turn, the dimensions must be adjusted to prevent cluster dissociation, i.e., to avoid that one or more particles being placed too far away from the respective nearest-neighbors.…”

Section: Volumementioning

confidence: 99%

Generation and characterization of low‐energy structures in atomic clusters

2009

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Factors relevant for controlling the structures determined in the local optimization of argon clusters are investigated. In particular, the role of volume and shape for the box where initial structures are generated is assessed. A thorough characterization of the optimization is also presented, based on a nearest-neighbor analysis, in clusters ranging from 30 to 55 atoms. This includes the assessment of the degree of preservation of aspects of the initial randomly generated structure in the final optimized counterpart, and the correlation between optimized energy and the number of nearest neighbors and average departure from the diatomic reference distance. The usefulness of this analysis to explore the energy landscape of atomic clusters is also highlighted.

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Section: Volumementioning

confidence: 99%

Generation and characterization of low‐energy structures in atomic clusters

2009

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“…Many researches have been studying the so-called Lermard Jones (LJ) clusters [12,16,20] and Morse clusters [5,6], previously used for testing global optimization methods [6].…”

Section: Lennard-jones and Morse Clustersmentioning

confidence: 99%

“…We check the efficiency of our algorithm in solving these problems without reducing the degrees of freedom of the atoms in the cluster A two-phase method for optimizing LJ and Morse clusters has been proposed in [12], in which the knowledge on the particular motifs the cluster may assume is not exploited, even if the search is guided towards the global optimum by using information derived from the global shape of the expected solutions. We compared our Monkey Search to Simulating Armealing, Harmony Search, and the two-phase method, proving that Monkey Search performs competitively.…”

Section: Lennard-jones and Morse Clustersmentioning

confidence: 99%

“…In Table 2, the results related to the optimization of LJ clusters are presented and compared to the results obtained by the two-phase method [12]. In Table 3, the results related to the Morse clusters with different choices of the parameter p are presented.…”

Section: Lennard-jones and Morse Clustersmentioning

confidence: 99%

“…These difficult to optimize energy functions have been already considered for testing methods for optimization [5,6,12,16,17,20,21]. We also consider an optimization problem arising from a model developed for studying the protein folding problem, which has a growing need of fast and efficient optimization methods.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Monkey search: a novel metaheuristic search for global optimization

Mucherino¹,

Şeref²

2007

AIP Conference Proceedings

217

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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

2011

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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 = 3) Morse potential at the cluster size of n= 240 is reported. The present results are useful to assess the maximum cluster size for each type of interaction where the global minimum can be discovered with a limited number of big-bang trials.

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Untitled

Cited by 52 publications

References 16 publications

Generation and characterization of low‐energy structures in atomic clusters

Generation and characterization of low‐energy structures in atomic clusters

Monkey search: a novel metaheuristic search for global optimization

On the use of big‐bang method to generate low‐energy structures of atomic clusters modeled with pair potentials of different ranges

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