Use of multivariate methods in the analysis of calculated reaction pathways
Bjørn Kåre Alsberg, Vidar Remi Jensen, Knut J. Børve · Journal of Computational Chemistry · 1996
It is suggested that multivariate methods such as principal component analysis (PCA) are useful tools in the analysis of large data sets from quantum chemical computations of reaction pathways. The potential of this methodology is investigated through an examination of the details of a medium-sized reaction: the Ziegler–Natta ethylene insertion reaction. Furthermore, PCA is used to compare two reaction pathways for the electrophilic addition of hydrochloric acid to propene. In both instances, the reaction pathways are determined at the Hartree–Fock level using the intrinsic reaction coordinate approach. The analyses are carried out on various kinds of descriptors, including geometry parameters, Mulliken charges, and overlap populations, and their relative efficiencies in terms of PCA modeling of the reactions are assessed. The results show that it may be necessary to combine analyses based on different descriptors and to analyze subsections of the reaction path separately in order to obtain both high resolution and interpretability. © 1996 by John Wiley & Sons, Inc.