Literature DB >> 26295779

Facilitating Minima Search for Large Water Clusters at the MP2 Level via Molecular Tailoring.

Jonathan P Furtado1, Anuja P Rahalkar1, Sudhanshu Shanker2, Pradipta Bandyopadhyay2, Shridhar R Gadre1.   

Abstract

Water clusters (H2O)20 and (H2O)25 are explored at the Møller-Plesset second-order perturbation (MP2) level of theory. Geometry optimization is carried out on favorable structures, initially generated by the temperature basin paving (TBP) method, utilizing the fragment-based molecular tailoring approach (MTA). MTA-based stabilization energies at the complete basis set limit are accurately estimated by grafting the energy correction using a smaller basis set. For prototypical cases, the minima are established via MTA-based vibrational frequency calculations at the MP2/aug-cc-pVDZ level. The potential of MTA in tackling large clusters is further demonstrated by performing geometry optimization at MP2/aug-cc-pVDZ starting with the global minimum of (H2O)30 reported by Monte Carlo (MC) and molecular dynamics (MD) investigations. The present study brings out the efficacy of MTA in performing computationally expensive ab initio calculations with minimal off-the-shelf hardware without significant loss of accuracy.

Entities:  

Keywords:  Hessian matrix; Møller−Plesset second order perturbation (MP2) theory; ab initio methods; complete basis set limit; large water clusters; molecular tailoring approach

Year:  2012        PMID: 26295779     DOI: 10.1021/jz300663u

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  2 in total

Review 1.  Molecular Tailoring Approach for the Estimation of Intramolecular Hydrogen Bond Energy.

Authors:  Milind M Deshmukh; Shridhar R Gadre
Journal:  Molecules       Date:  2021-05-14       Impact factor: 4.411

2.  Mapping enzymatic catalysis using the effective fragment molecular orbital method: towards all ab initio biochemistry.

Authors:  Casper Steinmann; Dmitri G Fedorov; Jan H Jensen
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

  2 in total

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