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Statistical Reprogramming of Macroscopic Self-assembly with Dynamic Boundaries by Utku Culha; Zoey S. Davidson; Massimo Mastrangeli; Metin Sitti is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Statistical Reprogramming of Macroscopic Self-assembly with Dynamic Boundaries about?

## Significance Programmable self-assembly provides valuable insights into fundamental physics and enables the design of functional materials. However, relying only on computational solutions to understand the aspects of self-assembly may overlook critical phenomena accessible through physical observation. Our work presents a control mechanism utilizing dynamic boundaries to experimentally (re)program self-assembly. We show the correlation between confinement dynamics and resulting self-assembled structures and also demonstrate the tuning of their mechanical and magnetic properties. Our approach should be scalable to different particle counts, types, and sizes. In future studies, an enlarged confinement mechanism could be used as a control method on mobile robot swarms and as a test bed to experiment with many more particles for the self-assembly processes of crystalline and amorphous materials.

Who reads Statistical Reprogramming of Macroscopic Self-assembly with Dynamic Boundaries?

Author

Utku Culha; Zoey S. Davidson; Massimo Mastrangeli; Metin Sitti

Publisher

Proceedings of the National Academy of Sciences

Published

2020

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)