Performance of the NOF-MP2 method in hydrogen abstraction reactions

  • Xabier Lopez
  • Mario PirisEmail author
Regular Article
Part of the following topical collections:
  1. 11th Congress on Electronic Structure: Principles and Applications (ESPA-2018)


The recently proposed natural orbital functional second-order Møller–Plesset (NOF-MP2) method is capable of achieving both dynamic and static correlations even for those systems with a significant multiconfigurational character. We test its reliability to describe the electron correlation in radical formation reactions, namely in the homolytic X–H bond cleavage of LiH, BH, \({\hbox {CH}}_{4}, {\hbox {NH}}_{3}, {\hbox {H}}_{2}{\hbox {O}}\) and HF molecules. Our results are compared with CASSCF and CASPT2 wavefunction calculations and the experimental data. For a dataset of 20 organic molecules, the thermodynamics of C–H homolytic bond cleavage, in which the C–H bond is broken in the presence of different chemical environments, is presented. The radical stabilization energies obtained for such general dataset are compared with the experimental data. It is observed that NOF-MP2 is able to give a quantitative agreement for dissociation energies, with a performance comparable to that of the accurate CASPT2 method.


Natural orbital functional second-order Møller–Plesset (NOF-MP2) method Electron correlation Radical formation reactions Homolytic X–H bond cleavage Homolytic C–H bond cleavage Dissociation energies Radical stabilization energies 



Financial support comes from Ministerio de Economía y Competitividad (Ref. CTQ2015-67608-P). The authors thank for technical and human support provided by IZO-SGI SGIker of UPV/EHU and European funding (ERDF and ESF).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Kimika FakultateaEuskal Herriko Unibertsitatea (UPV/EHU)DonostiaSpain
  2. 2.Donostia International Physics Center (DIPC)DonostiaSpain
  3. 3.IKERBASQUE, Basque Foundation for ScienceBilbaoSpain

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