Literature DB >> 28255858

On the accuracy of population analyses based on fitted densities.

Aurélien de la Lande1, Carine Clavaguéra2, Andreas Köster3.   

Abstract

Population analyses are part of the theoretical chemist's toolbox. They provide means to extract information about the repartition of the electronic density among molecules or solids. The values of atomic multipoles in a molecule can shed light on its electrostatic properties and may help to predict how different molecules could interact or to rationalize chemical reactivity for instance. Not being physical observables to which a quantum mechanical operator can be associated, atomic charges and higher order atomic multipoles cannot be defined unambiguously in a molecule, and therefore, several population schemes (PS) have been devised in the last decades. In the context of density functional theory (DFT), PS based on the electron density seem to be best grounded. In particular, some groups have proposed various iterative schemes the outcomes of which are very encouraging. Modern implementations of DFT that are for example based on density fitting techniques permit the investigation of molecular systems comprising of hundreds of atoms. However, population analyses following iterative schemes may become very CPU time consuming for such large systems. In this article, we investigate if the computationally less expensive analyses of the variationally fitted electronic densities can be safely carried out instead of the Kohn-Sham density. It is shown that as long as flexible auxiliary function sets including f and g functions are used, the multipoles extracted from the fitted densities are extremely close to those obtained from the KS density. We further assess if the multipoles obtained through the Hirshfeld's approach, in its standard or iterative form, can be a useful approach to calculate interaction energies in non-covalent complexes. Relative energies computed with the AMOEBA polarizable forced field combined to iterative Hirshfeld multipoles are encouraging.

Entities:  

Keywords:  AMOEBA; Charges; Density Fitting; Hirshfeld; deMon2k

Year:  2017        PMID: 28255858     DOI: 10.1007/s00894-017-3264-5

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  27 in total

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Authors: 
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3.  Electrostatic Potentials from Self-Consistent Hirshfeld Atomic Charges.

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4.  An Extension of the Hirshfeld Method to Open Shell Systems Using Fractional Occupations.

Authors:  D Geldof; A Krishtal; F Blockhuys; C Van Alsenoy
Journal:  J Chem Theory Comput       Date:  2011-04-20       Impact factor: 6.006

5.  Critical analysis and extension of the Hirshfeld atoms in molecules.

Authors:  Patrick Bultinck; Christian Van Alsenoy; Paul W Ayers; Ramon Carbó-Dorca
Journal:  J Chem Phys       Date:  2007-04-14       Impact factor: 3.488

6.  Density functional theory optimized basis sets for gradient corrected functionals: 3d transition metal systems.

Authors:  Patrizia Calaminici; Florian Janetzko; Andreas M Köster; Roberto Mejia-Olvera; Bernardo Zuniga-Gutierrez
Journal:  J Chem Phys       Date:  2007-01-28       Impact factor: 3.488

7.  Atomic charge densities generated using an iterative stockholder procedure.

Authors:  Timothy C Lillestolen; Richard J Wheatley
Journal:  J Chem Phys       Date:  2009-10-14       Impact factor: 3.488

8.  A self-consistent Hirshfeld method for the atom in the molecule based on minimization of information loss.

Authors:  Dieter Ghillemijn; Patrick Bultinck; Dimitri Van Neck; Paul W Ayers
Journal:  J Comput Chem       Date:  2011-02-15       Impact factor: 3.376

9.  Numerical study on the partitioning of the molecular polarizability into fluctuating charge and induced atomic dipole contributions.

Authors:  Ye Mei; Andrew C Simmonett; Frank C Pickard; Robert A DiStasio; Bernard R Brooks; Yihan Shao
Journal:  J Phys Chem A       Date:  2015-05-18       Impact factor: 2.781

10.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

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  1 in total

1.  AMOEBA+ Classical Potential for Modeling Molecular Interactions.

Authors:  Chengwen Liu; Jean-Philip Piquemal; Pengyu Ren
Journal:  J Chem Theory Comput       Date:  2019-06-11       Impact factor: 6.006

  1 in total

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