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Ab initio theory and modeling of water.

Authors :
Chen, Mohan
Hsin-Yu Ko
Remsing, Richard C.
Calegari Andrade, Marcos F.
Santra, Biswajit
Sun, Zhaoru
Selloni, Annabella
Car, Roberto
Klein, Michael L.
Perdew, John P.
Xifan Wu
Source :
Proceedings of the National Academy of Sciences of the United States of America. 10/10/2017, Vol. 114 Issue 41, p10846-10851. 6p.
Publication Year :
2017

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
114
Issue :
41
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
125768018
Full Text :
https://doi.org/10.1073/pnas.1712499114