Literature DB >> 17199343

Efficient correlation-corrected vibrational self-consistent field computation of OH-stretch frequencies using a low-scaling algorithm.

David M Benoit1.   

Abstract

The authors present a new computational scheme to perform accurate and fast direct correlation-corrected vibrational self-consistent field (CC-VSCF) computations for a selected number of vibrational modes, which is aimed at predicting a few vibrations in large molecular systems. The method is based on a systematic selection of vibrational mode-mode coupling terms, leading to the direct ab initio construction of a sparse potential energy surface. The computational scaling of the CC-VSCF computation on the generated surface is then further reduced by using a screening procedure for the correlation-correction contributions. The proposed method is applied to the computation of the OH-stretch frequency of five aliphatic alcohols. The authors investigate the influence of different pseudopotential and all-electron basis sets on the quality of the correlated potential energy surfaces computed and on the OH-stretch frequencies calculated for each surface. With the help of these test systems, the authors show that their method offers a computational scaling that is two orders of magnitude lower than a standard CC-VSCF method and that it is of equal accuracy.

Entities:  

Year:  2006        PMID: 17199343     DOI: 10.1063/1.2423006

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Raman spectra of long chain hydrocarbons: anharmonic calculations, experiment and implications for imaging of biomembranes.

Authors:  Jiří Šebek; Liat Pele; Eric O Potma; R Benny Gerber
Journal:  Phys Chem Chem Phys       Date:  2011-06-14       Impact factor: 3.676

2.  Towards a scalable and accurate quantum approach for describing vibrations of molecule-metal interfaces.

Authors:  David M Benoit; Bruno Madebene; Inga Ulusoy; Luis Mancera; Yohann Scribano; Sergey Chulkov
Journal:  Beilstein J Nanotechnol       Date:  2011-08-10       Impact factor: 3.649

  2 in total

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