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DNA Computing and Molecular Programming

Overview of attention for book
Cover of 'DNA Computing and Molecular Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Dominance and T-Invariants for Petri Nets and Chemical Reaction Networks
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    Chapter 2 Synthesizing and Tuning Chemical Reaction Networks with Specified Behaviours
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    Chapter 3 Universal Computation and Optimal Construction in the Chemical Reaction Network-Controlled Tile Assembly Model
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    Chapter 4 Reflections on Tiles (in Self-Assembly)
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    Chapter 5 Optimal Program-Size Complexity for Self-Assembly at Temperature 1 in 3D
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    Chapter 6 Flipping Tiles: Concentration Independent Coin Flips in Tile Self-Assembly
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    Chapter 7 New Geometric Algorithms for Fully Connected Staged Self-Assembly
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    Chapter 8 Leader Election and Shape Formation with Self-organizing Programmable Matter
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    Chapter 9 Leakless DNA Strand Displacement Systems
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    Chapter 10 Supervised Learning in an Adaptive DNA Strand Displacement Circuit
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    Chapter 11 Automated Design and Verification of Localized DNA Computation Circuits
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    Chapter 12 On Low Energy Barrier Folding Pathways for Nucleic Acid Sequences
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    Chapter 13 Stochastic Simulation of the Kinetics of Multiple Interacting Nucleic Acid Strands
Attention for Chapter 4: Reflections on Tiles (in Self-Assembly)
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Citations

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Chapter title
Reflections on Tiles (in Self-Assembly)
Chapter number 4
Book title
DNA Computing and Molecular Programming
Published by
Springer, Cham, August 2015
DOI 10.1007/978-3-319-21999-8_4
Book ISBNs
978-3-31-921998-1, 978-3-31-921999-8
Authors

Jacob Hendricks, Matthew J. Patitz, Trent A. Rogers, Hendricks, Jacob, Patitz, Matthew J., Rogers, Trent A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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