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Staged self-assembly: nanomanufacture of arbitrary shapes with <Emphasis Type="Italic">O</Emphasis>(1) glues
Authors:Erik D Demaine  Martin L Demaine  Sándor P Fekete  Mashhood Ishaque  Eynat Rafalin  Robert T Schweller  Diane L Souvaine
Affiliation:(1) MIT Computer Science and Artificial Intelligence Laboratory, 32 Vassar St., Cambridge, MA 02139, USA;(2) Department of Computer Science, Braunschweig University of Technology, Muehlenpfordtstr. 23, Braunschweig, 38116, Germany;(3) Department of Computer Science, Tufts University, Medford, MA 02155, USA;(4) Google Inc., Mountain View, CA 94043, USA;(5) Department of Computer Science, University of Texas-Pan American, Edinburg, TX 78539, USA
Abstract:We introduce staged self-assembly of Wang tiles, where tiles can be added dynamically in sequence and where intermediate constructions can be stored for later mixing. This model and its various constraints and performance measures are motivated by a practical nanofabrication scenario through protein-based bioengineering. Staging allows us to break through the traditional lower bounds in tile self-assembly by encoding the shape in the staging algorithm instead of the tiles. All of our results are based on the practical assumption that only a constant number of glues, and thus only a constant number of tiles, can be engineered. Under this assumption, traditional tile self-assembly cannot even manufacture an n × n square; in contrast, we show how staged assembly in theory enables manufacture of arbitrary shapes in a variety of precise formulations of the model.
Contact Information Diane L. SouvaineEmail:
Keywords:Self-assembly  Tiling  Nanotechnology  DNA computing  DNA self-assembly
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