ABSTRACT
A novel force-field parameterization procedure^] is proposed that surmounts several well-known difficulties of the conventional least squares parameterization. The multidimensional ab initio training data are first transformed into individual one-dimensional data sets, each associated with one tonn in the force-held model. In the second step conventional methods can be used to fit each energy term separately to its corresponding data set. The first step can be completed without any knowledge of the analytical expressions for the energy terms. Moreover the transformed data sets dictate the form of these expressions, which makes the method very suitable for deriving valence force fields. During the transformation in the first stop, continuity and least-norm criteria are imposed. The latter facilitate the intuitive physical interpretation of the energy forms that arc fitted to the transformed data sots, a prerequisite for transferable force fields. Benchmark parame-terizations have been performed on three small molecules, showing that the new method results in physically intuitive energy terms, exactly when a conventional parameterization would suffer from parameter correlations, i.e. when the number of redundant internal coordinates in the force-field model increases.
