Randomness, information encoding, and shape replication in various models of DNA-inspired self-assembly

Author

Eric M. Martinez, The University of Texas Rio Grande Valley

Date of Award

8-2016

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Dr. Robert Schweller

Second Advisor

Dr. Timothy Wylie

Third Advisor

Dr. Emmett Tomai

Abstract

Self-assembly is the process by which simple, unorganized components autonomously combine to form larger, more complex structures. Researchers are turning to self-assembly technology for the design of ever smaller, more complex, and precise nanoscale devices, and as an emerging fundamental tool for nanotechnology.

We introduce the robust random number generation problem, the problem of encoding a target string of bits in the form of a bit string pad, and the problem of shape replication in various models of tile-based self-assembly. Also included are preliminary results in each of these directions with discussion of possible future work directions.

Comments

Copyright 2016 Eric M. Martinez. All Rights Reserved.

https://www.proquest.com/dissertations-theses/randomness-information-encoding-shape-replication/docview/1850204105/se-2?accountid=7119

Recommended Citation

Martinez, Eric M., "Randomness, information encoding, and shape replication in various models of DNA-inspired self-assembly" (2016). Theses and Dissertations. 201.
https://scholarworks.utrgv.edu/etd/201