| Literature DB >> 28973868 |
Mohan Chen1, Hsin-Yu Ko2, Richard C Remsing3,4, Marcos F Calegari Andrade2, Biswajit Santra2, Zhaoru Sun1, Annabella Selloni2, Roberto Car2,5, Michael L Klein6,3,4, John P Perdew1,3, Xifan Wu6,4.
Abstract
Water is of the utmost importance for life and technology. However, a genuinely predictive ab initio model of water has eluded scientists. We demonstrate that a fully ab initio approach, relying on the strongly constrained and appropriately normed (SCAN) density functional, provides such a description of water. SCAN accurately describes the balance among covalent bonds, hydrogen bonds, and van der Waals interactions that dictates the structure and dynamics of liquid water. Notably, SCAN captures the density difference between water and ice Ih at ambient conditions, as well as many important structural, electronic, and dynamic properties of liquid water. These successful predictions of the versatile SCAN functional open the gates to study complex processes in aqueous phase chemistry and the interactions of water with other materials in an efficient, accurate, and predictive, ab initio manner.Entities:
Keywords: ab initio theory; density functional theory; hydrogen bonding; molecular dynamics; water
Year: 2017 PMID: 28973868 PMCID: PMC5642722 DOI: 10.1073/pnas.1712499114
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205