Modelling molecule-surface interactions-an automated quantum-classical approach using a genetic algorithm

Claudia R. Herbers, Karen Johnston, Nico F. A. van der Vegt

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10 Citations (Scopus)
62 Downloads (Pure)


We present an automated and efficient method to develop force fields for molecule-surface interactions. A genetic algorithm (GA) is used to parameterise a classical force field so that the classical adsorption energy landscape of a molecule on a surface matches the corresponding landscape from density functional theory (DFT) calculations. The procedure performs a sophisticated search in the parameter phase space and converges very quickly. The method is capable of fitting a significant number of structures and corresponding adsorption energies. Water on a ZnO(0001) surface was chosen as a benchmark system but the method is implemented in a flexible way and can be applied to any system of interest. In the present case, pairwise Lennard Jones (LJ) and Coulomb potentials are used to describe the molecule-surface interactions. In the course of the fitting procedure, the LJ parameters are refined in order to reproduce the adsorption energy landscape. The classical model is capable of describing a wide range of energies, which is essential for a realistic description of a fluid-solid interface.

Original languageEnglish
Pages (from-to)10577-10583
Number of pages7
JournalPhysical Chemistry Chemical Physics
Issue number22
Early online date18 May 2011
Publication statusPublished - 2011


  • metal-surfaces
  • total-energy calculations
  • water
  • wave basis-set
  • force-field
  • adsorption
  • dynamics
  • performance
  • efficient
  • simulation


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