Symmetry in Sphere-based Assembly Configuration Spaces
Meera Sitharam, Andrew Vince, Menghan Wang, Miklos Bona

TL;DR
This paper explores how symmetry in sphere-based assembly configuration spaces can simplify the analysis of self-assembly processes, providing formal definitions and demonstrating their application to reduce complexity.
Contribution
It introduces a novel, formal framework for analyzing symmetries in sphere assembly configuration spaces, enhancing understanding and computational efficiency.
Findings
Formal definitions of assembly configuration concepts and symmetry groups.
Application of symmetry analysis to compute orbit sizes in examples.
Identification of open problems and challenges in the field.
Abstract
Many remarkably robust, rapid and spontaneous self-assembly phenomena in nature can be modeled geometrically starting from a collection of rigid bunches of spheres. This paper highlights the role of symmetry in sphere-based assembly processes. Since spheres within bunches could be identical and bunches could be identical as well, the underlying symmetry groups could be of large order that grows with the number of participating spheres and bunches. Thus, understanding symmetries and associated isomorphism classes of microstates correspond to various types of macrostates can significantly reduce the complexity of computing entropy and free energy, as well as paths and kinetics, in high dimensional configuration spaces. In addition, a precise understanding of symmetries is crucial for giving provable guarantees of algorithmic accuracy and efficiency in such computations. In particular,…
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