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Journal of Chemical Theory and Computation|November 27, 2015
Dynamically Polarizable Water Potential Based on Multipole Moments Trained by Machine LearningChris M Handley, Paul L A PopelierThe Journal of Physical Chemistry. A|February 6, 2010
Potential energy surfaces fitted by artificial neural networksChris M Handley, Paul L A PopelierJournal of Chemical Theory and Computation|December 2, 2015
Beyond Point Charges: Dynamic Polarization from Neural Net Predicted Multipole MomentsMichael G Darley, Chris M Handley, Paul L A PopelierPhysical Chemistry Chemical Physics : PCCP|October 8, 2009
Optimal construction of a fast and accurate polarisable water potential based on multipole moments trained by machine learningChris M Handley, Glenn I Hawe, Douglas B Kell, et al.Pageof 1