Hierarchical assembly may be a way to make large information-rich structures
Stephen Whitelam

TL;DR
This paper demonstrates through numerical studies that hierarchical assembly can overcome kinetic traps associated with strong native interactions, enabling the formation of large, information-rich nanostructures, though non-native interactions pose challenges.
Contribution
It introduces a hierarchical assembly scheme that is resistant to native interaction traps, allowing exponential growth of complex structures, with analysis of its limitations due to non-native interactions.
Findings
Hierarchical assembly scales exponentially with stages.
Scheme is immune to native interaction kinetic traps.
Susceptible to non-native interaction traps.
Abstract
Self-assembly in the laboratory can now yield `information-rich' nanostructures in which each component is of a distinct type and has a defined spatial position. Ensuring the thermodynamic stability of such structures requires inter-component interaction energies to increase logarithmically with structure size, in order to counter the entropy gained upon mixing component types in solution. However, self-assembly in the presence of strong interactions results in general in kinetic trapping, so suggesting a limit to the size of an (equilibrium) structure that can be self-assembled from distinguishable components. Here we study numerically a two-dimensional hierarchical assembly scheme already considered in experiment. We show that this scheme is immune to the kinetic traps associated with strong `native' interactions (interactions designed to stabilize the intended structure), and so, in…
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