General theory for packing icosahedral shells into multi-component aggregates
Nicol\`o Canestrari, Diana Nelli, Riccardo Ferrando

TL;DR
This paper introduces a comprehensive theoretical framework for designing stable multi-component icosahedral structures by assembling concentric shells of various particle types, validated through simulations and calculations.
Contribution
It presents a novel general theory for constructing multi-component icosahedral shells, including design rules and optimal size-mismatch criteria, advancing the understanding of complex aggregate structures.
Findings
Established simple rules for designing icosahedral structures
Validated predictions with molecular dynamics simulations
Confirmed stability through density functional theory calculations
Abstract
Multi-component aggregates are being intensively researched in various fields because of their highly tunable properties and wide applications. Due to the complex configurational space of these systems, research would greatly benefit from a general theoretical framework for the prediction of stable structures, which, however, is largely incomplete at present. Here we propose a general theory for the construction of multi-component icosahedral structures by assembling concentric shells of different chiral and achiral types, consisting of particles of different sizes. By mapping shell sequences into paths in the hexagonal lattice, we establish simple and general rules for designing a wide variety of magic icosahedral structures, and we evaluate the optimal size-mismatch between particles in the different shells. The predictions of our design strategy are confirmed by molecular dynamics…
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
TopicsOptimization and Packing Problems · Computational Geometry and Mesh Generation · Material Properties and Processing
