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A framework for designing novel magnetic tiles capable of complex self-assemblies

Publication ,  Journal Article
Majumder, U; Reif, JH
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
September 25, 2008

Self-assembly has been immensely successful in creating complex patterns at the molecular scale. However, the use of self-assembly techniques at the macroscopic level has so far been limited to the formation of simple patterns. For example, in a number of prior works, self-assembling units or tiles formed aggregates based on the polarity of magnetic pads on their sides. The complexity of the resulting assemblies was limited, however, due to the small variety of magnetic pads that were used: namely just positive or negative polarity. This paper addresses the key challenge of increasing the variety of magnetic pads for tiles, which would allow the tiles to self-assemble into more complex patterns. We introduce a barcode scheme which potentially allows for the generation of arbitrarily complex structures using magnetic self-assembly at the macro-scale. Development of a framework for designing such barcode schemes is the main contribution of the paper. We also present a physical model based on Newtonian mechanics and Maxwellian magnetics. Additionally, we present a preliminary software simulation system that models the binding of these tiles using magnetic interactions as well as external forces (e.g. wind) which provide energy to the system. Although we have not performed any physical experiments, nevertheless, we show that it is possible to use the simulation results to extract a higher level kinetic model that can be used to predict assembly yield on a larger scale and provide better insight into the dynamics of the real system. © Springer-Verlag Berlin Heidelberg 2008.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

September 25, 2008

Volume

5204 LNCS

Start / End Page

129 / 145

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Majumder, U., & Reif, J. H. (2008). A framework for designing novel magnetic tiles capable of complex self-assemblies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5204 LNCS, 129–145. https://doi.org/10.1007/978-3-540-85194-3_12
Majumder, U., and J. H. Reif. “A framework for designing novel magnetic tiles capable of complex self-assemblies.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5204 LNCS (September 25, 2008): 129–45. https://doi.org/10.1007/978-3-540-85194-3_12.
Majumder U, Reif JH. A framework for designing novel magnetic tiles capable of complex self-assemblies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008 Sep 25;5204 LNCS:129–45.
Majumder, U., and J. H. Reif. “A framework for designing novel magnetic tiles capable of complex self-assemblies.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5204 LNCS, Sept. 2008, pp. 129–45. Scopus, doi:10.1007/978-3-540-85194-3_12.
Majumder U, Reif JH. A framework for designing novel magnetic tiles capable of complex self-assemblies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008 Sep 25;5204 LNCS:129–145.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

September 25, 2008

Volume

5204 LNCS

Start / End Page

129 / 145

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences