Abstract
Aerosol-OT reverse micelles represent a chemical construct where surfactant molecules self-assemble to stabilize water nanodroplets ~1-10 nm in diameter. Although commonly assumed to adopt a spherical shape, all-atom molecular dynamics simulations and some experimental studies predict a non-spherical shape. If these aggregates are not spherical, then what shape do they take? Because the tools needed to evaluate the shape of something that lacks regular structure, order, or symmetry are not well developed, we present a set of three intuitive metrics- coordinate-pair eccentricity, convexity, and the curvature distribution- that estimate the shape of an amorphous object and we demonstrate their use on a simulated Aerosol-OT reverse micelle. These metrics are all well-established methods and principles in mathematics, and each provides unique information about the shape. Together, these metrics provide intuitive descriptions of amorphous shapes, facilitate ways to quantify those shapes, and follow their changes over time.
Supplementary materials
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Supplementary Information
Description
Additional plots to illustrate the metrics introduced in the paper and support claims made. Also includes an exploration of an alternate formulation of eccentricity used in literature and how it relates to our formulation.
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Title
Micelle from Figure 4, highlighted in sky blue
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A short movie of the micelle rotating to show all sides of the micelle.
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Micelle from Figure 4, highlighted in green
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A short movie of the micelle rotating to show all sides of the micelle.
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Micelle from Figure 4, highlighted in magenta
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A short movie of the micelle rotating to show all sides of the micelle.
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Micelle from Figure 5, "Early"
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A short movie of the micelle rotating to show all sides of the micelle. Colored according to mean curvature.
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Micelle from Figure 5, "Late"
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A short movie of the micelle rotating to show all sides of the micelle. Colored according to mean curvature.
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Supplementary weblinks
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Code Repository for Metrics Used
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A GitHub repository of the Python code used to analyze shape using the metrics presented in the paper. Repository is under construction so check back soon for new code.
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