Abstract

The nucleation of crystals from liquid melt is often characterized by a competition between different crystalline structures or polymorphs and can result in nuclei with heterogeneous compositions. These mixed-phase nuclei can display nontrivial spatial arrangements, such as layered and onionlike structures, whose composition varies according to the radial distance, and which so far have been explained on the basis of bulk and surface free-energy differences between the competing phases. Here we extend the generality of these nonclassical nucleation processes, showing that layered and onionlike structures can emerge solely based on structural fluctuations even in the absence of free-energy differences. We consider two examples of competing crystalline structures, hcp and fcc forming in hard spheres relevant for repulsive colloids and dense liquids, and the cubic and hexagonal diamond forming in water relevant also for other group 14 elements such as carbon and silicon. We introduce a novel structural order parameter that combined with a neural-network classification scheme allows us to study the properties of the growing nucleus from the early stages of nucleation. We find that small nuclei have distinct size fluctuations and compositions from the nuclei that emerge from the growth stage. The transition between these two regimes is characterized by the formation of onionlike structures, in which the composition changes with the distance from the center of the nucleus, similar to what is seen in the two-step nucleation process.15 MoreReceived 24 June 2020Revised 28 January 2021Accepted 23 April 2021DOI:https://doi.org/10.1103/PhysRevX.11.031006Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasCrystal growthCrystallizationNucleationPhysical SystemsHard sphere colloidsIceWaterPolymers & Soft MatterCondensed Matter, Materials & Applied Physics

Highlights

  • Nucleation is a discontinuous transition in which clusters of molecules self-assemble due to fluctuations that are very localized in space and time to form a growing nucleus

  • Already from a quick visual inspection, we see that both the common neighbor analysis (CNA) and BOO methods have a lower resolution in the details of grains respect to LID whenever there is a high degree of hcp and fcc stacking

  • We consider this phenomenology in the particular case of polytype nucleation

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Summary

Introduction

Nucleation is a discontinuous transition in which clusters of molecules self-assemble due to fluctuations that are very localized in space and time to form a growing nucleus. It is a crucial phenomenon in many fields of natural science [1,2,3], going from the planetary scale to nanoscale.

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