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We study the following fundamental questions in DNA- based self-assembly and nanorobotics: How to control errors in self-assembly? How to construct complex nanoscale objects in simpler ways? How to transport nanoscale objects in programmable manner? In our quest to answer these questions, we present a comprehensive theory of compact error-resilient schemes for algorithmic self-assembly in two and three dimensions, and discuss the limitations and capabilities of redundancy based compact error correction schemes. We present a time-dependent glue model for reversible self-assembly model. We can…mehr

Produktbeschreibung
We study the following fundamental questions in DNA-
based self-assembly and nanorobotics: How to control
errors in self-assembly? How to construct complex
nanoscale objects in simpler ways? How to transport
nanoscale objects in programmable manner? In our
quest to answer these questions, we present a
comprehensive theory of compact error-resilient
schemes for algorithmic self-assembly in two and
three dimensions, and discuss the limitations and
capabilities of redundancy based compact error
correction schemes. We present a time-dependent glue
model for reversible self-assembly model. We can
assemble thin rectangles of size k×N using O
(logN/loglogN) types of tiles in our model. We
present a framework for a discrete event simulator
for DNA-based nanorobotical systems. We design a
class of DNAzyme based nanodevices that are
autonomous, programmable, and require no protein
enzymes. In addition to these, we also attempt to
harness the mechanical energy of a polymerase 29 to
construct a polymerase based nanomotor that pushes a
cargo on a DNA track.
Autorenporträt
Sudheer Sahu received PhD in Computer Science at Duke University
in 2007. His research interests include algorithms, complexity,
graph theory, and stochastic modeling. John H. Reif is Professor
in Computer Science at Duke University. He has contributed to
many areas of Computer Science. His recent research focuses on
DNA based nanotechnology.