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Self-assembled circuit patterns

Cook, Matthew and Rothemund, Paul W. K. and Winfree, Erik (2004) Self-assembled circuit patterns. In: DNA Computing. Lecture Notes in Computer Science. No.2943. Springer , Berlin, pp. 91-107. ISBN 3-540-20930-1.

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Self-assembly is a process in which basic units aggregate under attractive forces to form larger compound structures. Recent theoretical work has shown that pseudo-crystalline self-assembly can be algorithmic, in the sense that complex logic can be programmed into the growth process [26]. This theoretical work builds on the theory of two-dimensional tilings [8], using rigid square tiles called Wang tiles [24] for the basic units of self-assembly, and leads to Turing-universal models such as the Tile Assembly Model [28]. Using the Tile Assembly Model, we show how algorithmic self-assembly can be exploited for fabrication tasks such as constructing the patterns that define certain digital circuits, including demultiplexers, RAM arrays, pseudowavelet transforms, and Hadamard transforms. Since DNA self-assembly appears to be promising for implementing the arbitrary Wang tiles [30, 13] needed for programming in the Tile Assembly Model, algorithmic self-assembly methods such as those presented in this paper may eventually become a viable method of arranging molecular electronic components [18], such as carbon nanotubes [10, 1], into molecular-scale circuits.

Item Type:Book Section
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URLURL TypeDescription ReadCube access
Rothemund, Paul W. K.0000-0002-1653-3202
Winfree, Erik0000-0002-5899-7523
Additional Information:© 2004 Springer-Verlag Berlin Heidelberg. M.C. is supported in part by the "Alpha Project" that is funded by a grant from the National Human Genome Research Institute (Grant No. P50 HG02370). P.W.K.R. is supported by a Beckman Postdoctoral Fellowship. E.W. is supported by NSF Career Grant No. 0093486, DARPA BIOCOMP Contract F30602-01-2-0561, and NASA NRA2-37143.
Funding AgencyGrant Number
NIHP50 HG02370
Arnold and Mabel Beckman FoundationUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)F30602-01-2-0561
National Human Genome Research InstituteUNSPECIFIED
Series Name:Lecture Notes in Computer Science
Issue or Number:2943
Record Number:CaltechAUTHORS:20110309-104202667
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:22766
Deposited By: Lucinda Acosta
Deposited On:25 Oct 2011 22:28
Last Modified:09 Nov 2021 16:07

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