Generalized Bond Order Parameters to Characterize Transient Crystals
Masaharu Isobe, Berni J. Alder

TL;DR
This paper introduces generalized bond order parameters to analyze transient crystal nuclei in hard disk fluids, enabling faster computation of structural and dynamical properties related to pre-freezing phenomena.
Contribution
It develops a new methodology with higher order bond orientational parameters and coarse-grained correlation functions, significantly speeding up analysis of transient crystals.
Findings
Reproduces previous results with two orders of magnitude speed-up.
Identifies large numbers of small crystal nuclei with long lifetimes near freezing.
Links slow stress autocorrelation decay to persistent small crystal nuclei.
Abstract
Higher order parameters in the hard disk fluid are computed to investigate the number, the life time and size of transient crystal nuclei in the pre-freezing phase. The methodology introduces further neighbor shells bond orientational order parameters and coarse-grains the correlation functions needed for the evaluation of the stress autocorrelation function for the viscosity. We successfully reproduce results by the previous collision method for the pair orientational correlation function, but some two orders of magnitude faster. This speed-up allows calculating the time dependent four body orientational correlation between two different pairs of particles as a function of their separation, needed to characterize the size of the transient crystals. The result is that the slow decay of the stress autocorrelation function near freezing is due to a large number of rather small crystal…
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.
Taxonomy
TopicsMaterial Dynamics and Properties · Phase Equilibria and Thermodynamics · Theoretical and Computational Physics
