Artificial Neural Network Method to Construct Potential Energy Surfaces for Transition Metal Nanoparticles: Pt, Au, and Ag

Abstract

Potential energy surfaces (PESs) for transition metal nanoparticles of Pt, Au, and Ag were derived using the artificial neural network (ANN) method. Three feedforward neural networks were constructed to fit the nonlinear relationship between the binding energy and the nanoparticle information, i.e. size and atomic coordinates, based on the data obtained… (More)
DOI: 10.1109/ICNC.2009.243

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