2010
DOI: 10.1002/jcc.21715
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A theoretical investigation on optimal structures of ethane clusters (C2H6)n with n ≤ 25 and their building‐up principle

Abstract: Geometry optimization of ethane clusters (C(2)H(6))(n) in the range of n ≤ 25 is carried out with a Morse potential. A heuristic method based on perturbations of geometries is used to locate global minima of the clusters. The following perturbations are carried out: (1) the molecule or group with the highest energy is moved to the interior of a cluster, (2) it is moved to stable positions on the surface of a cluster, and (3) orientations of one and two molecules are randomly modified. The geometry obtained aft… Show more

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Cited by 4 publications
(5 citation statements)
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“…At present, the global optimization of atomic/molecular clusters is one of the most difficult problems. Recently, the present author encountered a difficulty relating to molecular orientations in ethane clusters and modified the optimization algorithm. The global optimization is not performed routinely, and many articles have been published to improve efficiency of the global optimization. , …”
Section: Calculationsmentioning
confidence: 99%
“…At present, the global optimization of atomic/molecular clusters is one of the most difficult problems. Recently, the present author encountered a difficulty relating to molecular orientations in ethane clusters and modified the optimization algorithm. The global optimization is not performed routinely, and many articles have been published to improve efficiency of the global optimization. , …”
Section: Calculationsmentioning
confidence: 99%
“…Optimal geometries of methane clusters were searched with HMGP [28]. Starting geometries were generated by randomly placing molecules in a sphere with a radius of (3n/4π) 1/3 r e (a value of 3.8 Å is used for r e ).…”
Section: Geometry Optimizationmentioning
confidence: 99%
“…Hence geometrical-perturbation operators [28] with subsequent local optimizations were used for searching lower-energy configurations.…”
Section: Geometry Optimizationmentioning
confidence: 99%
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