Structural analyses are an integral part of computational research on
nucleation and supercooled water, whose accuracy and efficiency can impact the
validity and feasibility of such studies. The underlying molecular mechanisms
of these often elusive and computationally expensive processes can be inferred
from the evolution of ice-like structures, determined using appropriate
structural analysis techniques. We present d-SEAMS, a free and open-source
post-processing engine for the analysis of molecular dynamics trajectories,
which is specifically able to qualitatively classify ice structures, in both
strong confinement and bulk systems. For the first time, recent algorithms for
confined ice structure determination have been implemented, along with
topological network criteria for bulk ice structure determination. Recognizing
the need for customization in structural analysis, d-SEAMS has a unique code
architecture, built with nix, employing a YAML-Lua scripting pipeline.
The software has been designed to be user-friendly and easy to extend. The
engine outputs are compatible with popular graphics software suites, allowing
for immediate visual insights into the systems studied. We demonstrate the
features of d-SEAMS by using it to analyze nucleation in the bulk regime and
for quasi-one and quasi-two-dimensional systems. Structural time evolution and
quantitative metrics are determined for heterogenous ice nucleation on a
silver-exposed beta-AgI surface, homogenous ice nucleation, flat monolayer
square ice formation and freezing of an ice nanotube.
d-SEAMS: Deferred Structural Elucidation Analysis for Molecular Simulations
d-SEAMS is a post-processing engine for molecular dynamics trajectories that classifies ice structures in confined and bulk systems using implemented algorithms and topological network criteria.
- Year
- 2019
- Venue
- arXiv 2019
- Authors
- 3
- Hosting
- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/1909.09830ARXIV-DEFAULT
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