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Optimal construction of a fast and accurate polarizable water potential based on multipole moments trained by machine learning

Handley, C. M., Hawe, Glenn, Kell, D. B. and Popelier, P. L. A. (2009) Optimal construction of a fast and accurate polarizable water potential based on multipole moments trained by machine learning. Physical Chemistry Chemical Physics, 11 (30). pp. 6365-6376. [Journal article]

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URL: http://pubs.rsc.org/en/Content/ArticleLanding/2009/CP/b905748j

DOI: 10.1039/b905748j


Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:28436
Deposited By: Dr Glenn Hawe
Deposited On:03 Feb 2014 14:38
Last Modified:03 Feb 2014 14:38

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