Crystallization of Lennard-Jones nanodroplets: from near melting to deeply supercooled
Shahrazad M. A. Malek, Gregory P. Morrow, Ivan Saika-Voivod

TL;DR
This study uses molecular dynamics and Monte Carlo simulations to analyze nucleation and crystallization in Lennard-Jones nanodroplets across various temperatures, confirming classical nucleation theory predictions and revealing structural pathways.
Contribution
It provides a detailed comparison of MD and MC methods in predicting nucleation rates and critical embryo sizes, highlighting the role of embryo structure and surface tension effects.
Findings
Classical Nucleation Theory accurately predicts nucleation rates down to the metastability limit.
Crystallization initiates with hcp-fcc stacked nuclei, with structural differentiation at critical sizes.
Surface tension values needed for CNT agreement are lower than bulk expectations.
Abstract
We carry out molecular dynamics (MD) and Monte Carlo (MC) simulations to characterize nucleation in liquid clusters of 600 Lennard-Jones particles over a broad range of temperatures. We use the formalism of mean first-passage times to determine the rate and find that Classical Nucleation Theory (CNT) predicts the rate quite well, even when employing simple modelling of crystallite shape, chemical potential, surface tension and particle attachment rate, down to the temperature where the droplet loses metastability and crystallization proceeds through growth-limited nucleation in an unequilibrated liquid. Below this crossover temperature, the nucleation rate is still predicted when MC simulations are used to directly calculate quantities required by CNT. Discrepancy in critical embryo sizes obtained from MD and MC arises when twinned structures with five-fold symmetry provide a competing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
