2017
DOI: 10.1063/1.4997180
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The Gibbs free energy of homogeneous nucleation: From atomistic nuclei to the planar limit

Abstract: In this paper we discuss how the information contained in atomistic simulations of homogeneous nucleation should be used when fitting the parameters in macroscopic nucleation models. We show how the number of solid and liquid atoms in such simulations can be determined unambiguously by using a Gibbs dividing surface and how the free energy as a function of the number of solid atoms in the nucleus can thus be extracted. We then show that the parameters (the chemical potential, the interfacial free energy, and a… Show more

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Cited by 13 publications
(33 citation statements)
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“…We find a level of quantitative agreement between the shapes extracted using these two methods that indicates that it is appropriate to use classical nucleation to describe this particular system. We furthermore argue that similar comparisons of the shapes extracted using the methods that we have introduced in this work and our previous works 8,12 can now be used to check if the nucleation mechanisms observed in other physical systems follow the classical theory.…”
Section: Introductionmentioning
confidence: 63%
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“…We find a level of quantitative agreement between the shapes extracted using these two methods that indicates that it is appropriate to use classical nucleation to describe this particular system. We furthermore argue that similar comparisons of the shapes extracted using the methods that we have introduced in this work and our previous works 8,12 can now be used to check if the nucleation mechanisms observed in other physical systems follow the classical theory.…”
Section: Introductionmentioning
confidence: 63%
“…This approach thus takes account of material-specific information and generates atomistic insight. When this method is applied, however, a vast amount of information including all atomic coordinates is typically generated, and sophisticated data a) Electronic mail: bc509@cam.ac.uk analysis methods are therefore required to interpret the results [7][8][9] .…”
Section: Introductionmentioning
confidence: 99%
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