Literature DB >> 28388118

Polarizable charge equilibration model for predicting accurate electrostatic interactions in molecules and solids.

Saber Naserifar1, Daniel J Brooks1, William A Goddard1, Vaclav Cvicek1.   

Abstract

Electrostatic interactions play a critical role in determining the properties, structures, and dynamics of chemical, biochemical, and material systems. These interactions are described well at the level of quantum mechanics (QM) but not so well for the various models used in force field class="Chemical">simulatioclass="Chemical">ns of these systems. We propose aclass="Chemical">nd validate a class="Chemical">new geclass="Chemical">neral methodology, declass="Chemical">noted class="Chemical">n class="Chemical">PQEq, to predict rapidly and dynamically the atomic charges and polarization underlying the electrostatic interactions. Here the polarization is described using an atomic sized Gaussian shaped electron density that can polarize away from the core in response to internal and external electric fields, while at the same time adjusting the charge on each core (described as a Gaussian function) so as to achieve a constant chemical potential across all atoms of the system. The parameters for PQEq are derived from experimental atomic properties of all elements up to Nobelium (atomic no. = 102). We validate PQEq by comparing to QM interaction energy as probe dipoles are brought along various directions up to 30 molecules containing H, C, N, O, F, Si, P, S, and Cl atoms. We find that PQEq predicts interaction energies in excellent agreement with QM, much better than other common charge models such as obtained from QM using Mulliken or ESP charges and those from standard force fields (OPLS and AMBER). Since PQEq increases the accuracy of electrostatic interactions and the response to external electric fields, we expect that PQEq will be useful for a large range of applications including ligand docking to proteins, catalytic reactions, electrocatalysis, ferroelectrics, and growth of ceramics and films, where it could be incorporated into standard force fields as OPLS, AMBER, CHARMM, Dreiding, ReaxFF, and UFF.

Entities:  

Year:  2017        PMID: 28388118     DOI: 10.1063/1.4978891

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


  5 in total

Review 1.  Force field development phase II: Relaxation of physics-based criteria… or inclusion of more rigorous physics into the representation of molecular energetics.

Authors:  A T Hagler
Journal:  J Comput Aided Mol Des       Date:  2018-11-30       Impact factor: 3.686

2.  First-principles-based reaction kinetics from reactive molecular dynamics simulations: Application to hydrogen peroxide decomposition.

Authors:  Daniil V Ilyin; William A Goddard; Julius J Oppenheim; Tao Cheng
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-21       Impact factor: 11.205

3.  First principles-based multiscale atomistic methods for input into first principles nonequilibrium transport across interfaces.

Authors:  Tao Cheng; Andres Jaramillo-Botero; Qi An; Daniil V Ilyin; Saber Naserifar; William A Goddard
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-03       Impact factor: 11.205

4.  Liquid water is a dynamic polydisperse branched polymer.

Authors:  Saber Naserifar; William A Goddard
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-24       Impact factor: 11.205

5.  Evaluating Charge Equilibration Methods To Generate Electrostatic Fields in Nanoporous Materials.

Authors:  Daniele Ongari; Peter G Boyd; Ozge Kadioglu; Amber K Mace; Seda Keskin; Berend Smit
Journal:  J Chem Theory Comput       Date:  2018-12-04       Impact factor: 6.006

  5 in total

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