Literature DB >> 29096469

Toward chemical accuracy in the description of ion-water interactions through many-body representations. Alkali-water dimer potential energy surfaces.

Marc Riera1, Narbe Mardirossian2, Pushp Bajaj1, Andreas W Götz3, Francesco Paesani1.   

Abstract

This study presents the extension of the MB-nrg (Many-Body energy) theoretical/computational framework of transferable potential energy functions (PEFs) for molecular simulations of alkali metal ion-water systems. The MB-nrg PEFs are built upon the many-body expansion of the total energy and include the explicit treatment of one-body, two-body, and three-body interactions, with all higher-order contributions described by classical induction. This study focuses on the MB-nrg two-body terms describing the full-dimensional potential energy surfaces of the M+(H2O) dimers, where M+ = Li+, Na+, K+, Rb+, and Cs+. The MB-nrg PEFs are derived entirely from "first principles" calculations carried out at the explicitly correlated coupled-cluster level including single, double, and perturbative triple excitations [CCSD(T)-F12b] for Li+ and Na+ and at the CCSD(T) level for K+, Rb+, and Cs+. The accuracy of the MB-nrg PEFs is systematically assessed through an extensive analysis of interaction energies, structures, and harmonic frequencies for all five M+(H2O) dimers. In all cases, the MB-nrg PEFs are shown to be superior to both polarizable force fields and ab initio models based on density functional theory. As previously demonstrated for halide-water dimers, the MB-nrg PEFs achieve higher accuracy by correctly describing short-range quantum-mechanical effects associated with electron density overlap as well as long-range electrostatic many-body interactions.

Entities:  

Year:  2017        PMID: 29096469     DOI: 10.1063/1.4993213

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


  2 in total

1.  The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics.

Authors:  Kun Yao; John E Herr; David W Toth; Ryker Mckintyre; John Parkhill
Journal:  Chem Sci       Date:  2018-01-18       Impact factor: 9.825

2.  Uptake of N2O5 by aqueous aerosol unveiled using chemically accurate many-body potentials.

Authors:  Vinícius Wilian D Cruzeiro; Mirza Galib; David T Limmer; Andreas W Götz
Journal:  Nat Commun       Date:  2022-03-10       Impact factor: 14.919

  2 in total

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