Physics – Condensed Matter – Soft Condensed Matter
Scientific paper
2010-12-21
Physics
Condensed Matter
Soft Condensed Matter
13 pages, 9 figures, J. Chem. Phys., submitted
Scientific paper
Order parameters based on spherical harmonics and Fourier coefficients already play a significant role in condensed matter research in the context of systems of spherical or point particles. Here, we extend these types of order parameter to more complex shapes, such as those encountered in nanoscale self-assembly applications. To do so, we build on a powerful set of techniques that originate in the computer science field of "shape matching." We demonstrate how shape matching techniques can be applied to identify unknown structures and create highly-specialized \textit{ad hoc} order parameters. Additionally, we investigate the special symmetry properties of harmonic descriptors, and demonstrate how they can be exploited to provide optimal solutions to certain classes of problems. Our techniques can be applied to particle systems in general, both simulated and experimental, provided the particle positions are known.
Glotzer Sharon C.
Iacovella Christopher R.
Keys Aaron S.
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