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A FFLUX water model: flexible, polarizable and with a multipolar description of electrostatics

; 
Ren, E.
; 
Thacker, J.C.R.
; 
Symons, B.C.B.
; 
Silva, A.F.
; 
Popelier, P.L.A.
Publication Date
2020-03
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Keywords
Molecular dynamics, Machine learning, Quantum chemical topology, Water simulation, Multipole moments
Rights
© 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Yes
Open Access status
openAccess
Accepted for publication
31/10/2019
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Life Sciences Publications
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Abstract
Key to progress in molecular simulation is the development of advanced models that go beyond the limitations of traditional force fields that employ a fixed, point charge‐based description of electrostatics. Taking water as an example system, the FFLUX framework is shown capable of producing models that are flexible, polarizable and have a multipolar description of the electrostatics. The kriging machine‐learning methods used in FFLUX are able to reproduce the intramolecular potential energy surface and multipole moments of a single water molecule with chemical accuracy using as few as 50 training configurations. Molecular dynamics simulations of water clusters (25–216 molecules) using the new FFLUX model reveal that incorporating charge‐quadrupole, dipole–dipole, and quadrupole–charge interactions into the description of the electrostatics results in significant changes to the intermolecular structuring of the water molecules.
URI
http://hdl.handle.net/10454/17932
Version
Published version
Citation
Hughes ZE, Ren E, Thacker JCR et al (2020) A FFLUX water model: flexible, polarizable and with a multipolar description of electrostatics. Journal of Computational Chemistry. 41(7): 619-628.
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Link to Version of Record
https://doi.org/10.1002/jcc.26111
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Article
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