## Abstract A highly efficient unbiased global optimization method called dynamic lattice searching (DLS) was proposed. The method starts with a randomly generated local minimum, and finds better solution by a circulation of construction and searching of the dynamic lattice (DL) until the better so
Clever and Efficient Method for Searching Optimal Geometries of Lennard-Jones Clusters
โ Scribed by Takeuchi, Hiroshi
- Book ID
- 121417322
- Publisher
- American Chemical Society
- Year
- 2006
- Tongue
- English
- Weight
- 85 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0095-2338
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract This article presents the results obtained using an unbiased Population Based Search (PBS) for optimizing LennardโJones clusters. PBS is able to repeatedly obtain all putative global minima, for LennardโJones clusters in the range 2 โค __N__ โค 372, as reported in the Cambridge Cluster Da
## Abstract A variation of the previous dynamic lattice searching (DLS) method, named as DLS with constructed core (DLSc), was proposed for structural optimization of LennardโJones (LJ) clusters. In the new method, the starting random structure is generated with an icosahedron or a decahedron as a
## Abstract For improving the efficiency of dynamic lattice searching (DLS) method for unbiased optimization of large LennardโJones (LJ) clusters, a variant of the interior operation (IO) proposed by Takeuchi was combined with DLS. The method is named as DLSโIO. In the method, the IO moves outer at
Spatial averaging of the potential energy function facilitates the search for the most stable configuration of a molecular system. Recently some global optimization methods of this kind have been designed in the literature that rely on physical phenomena such as diffusion, wave function evolution in