Compact Error-Resilient Self-Assembly of Recursively Defined Patterns

04/04/2019
by   Brad Shutters, et al.
0

A limitation to molecular implementations of tile-based self-assembly systems is the high rate of mismatch errors which has been observed to be between 1 and 10 intrinsic error rate ϵ prohibitively slows the growth rate of the system. This has motivated the development of techniques to redundantly encode information in the tiles of a system in such a way that the rate of mismatch errors in the final assembly is reduced even without a reduction in ϵ. Winfree and Bekbolatov, and Chen and Goel, introduced such error-resilient systems that reduce the mismatch error rate to ϵ^2 by replacing each tile in an error-prone system with a k × k block of tiles in the error-resilient system, but this increases the number of tile types used by a factor of k^2, and the scale of the pattern produced by a factor of k. Reif, Sahu and Yin, and Sahu and Reif, introduced compact error-resilient systems for the self-assembly of Boolean arrays that reduce the mismatch error rate to ϵ^2 without increasing the scale of the pattern produced. In this paper, we give a technique to design compact error-resilient systems for the self-assembly of the recursively defined patterns introduced by Kautz and Lathrop. We show that our compact error-resilient systems reduce the mismatch error rate to ϵ^2 by using the independent error model introduced by Sahu and Reif. Surprisingly, our error-resilient systems use the same number of tile types as the error-prone system from which they are constructed.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/12/2018

Hierarchical Growth is Necessary and (Sometimes) Sufficient to Self-Assemble Discrete Self-Similar Fractals

In this paper, we prove that in the abstract Tile Assembly Model (aTAM),...
research
11/07/2022

The Need for Seed (in the abstract Tile Assembly Model)

In the abstract Tile Assembly Model (aTAM) square tiles self-assemble, a...
research
02/10/2021

Learning under Distribution Mismatch and Model Misspecification

We study learning algorithms when there is a mismatch between the distri...
research
07/01/2022

Quality increases as the error rate decreases

In this paper we propose an approach to the design of processes and soft...
research
02/14/2019

Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise

In collective robotic systems, the automatic generation of controllers f...
research
02/25/2022

Self-Stabilizing Self-Assembly

The emerging field of passive macro-scale tile-based self-assembly (TBSA...
research
10/07/2020

SDC Resilient Error-bounded Lossy Compressor

Lossy compression is one of the most important strategies to resolve the...

Please sign up or login with your details

Forgot password? Click here to reset