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19 April 2024
 
  » arxiv » cond-mat/0411144

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Characterizing the network topology of the energy landscapes of atomic clusters
Jonathan P. K. Doye ; Claire P. Massen ;
Date 5 Nov 2004
Journal J. Chem. Phys. 122, 084105 (2005) DOI: 10.1063/1.1850468
Subject Statistical Mechanics; Atomic and Molecular Clusters | cond-mat.stat-mech physics.atm-clus
AbstractBy dividing potential energy landscapes into basins of attractions surrounding minima and linking those basins that are connected by transition state valleys, a network description of energy landscapes naturally arises. These networks are characterized in detail for a series of small Lennard-Jones clusters and show behaviour characteristic of small-world and scale-free networks. However, unlike many such networks, this topology cannot reflect the rules governing the dynamics of network growth, because they are static spatial networks. Instead, the heterogeneity in the networks stems from differences in the potential energy of the minima, and hence the hyperareas of their associated basins of attraction. The low-energy minima with large basins of attraction act as hubs in the network.Comparisons to randomized networks with the same degree distribution reveals structuring in the networks that reflects their spatial embedding.
Source arXiv, cond-mat/0411144
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