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Graph-Theoretic Analysis of Nanocarbon Structures

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Abstract

Nanostructures tend to comprise distinct and measurable forms, which can be referred to in this context as nanopatterns. Far from being random, these patterns reflect the order of well-understood chemical and physical laws. Under the aegis of said physical and chemical laws, atoms and molecules coalesce and form discrete and measurable geometric structures ranging from repeating lattices to complicated polygons. Rules from several areas of pure mathematics such as graph theory can be used to analyze and predict properties from these well-defined structures. Nanocarbons have several distinct allotropes that build upon the basic honeycomb lattice of graphene. Because these allotropes have clear commonalities with respect to geometric properties, this paper reviews some approaches to the use of graph theory to enumerate structures and potential properties of nanocarbons. Graph theoretic treatment of the honeycomb lattice that forms the foundation of graphene is completed, and parameters for further analysis of this structure are analyzed. Analogues for modelling graphene and potentially other carbon allotropes are presented.

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References

  1. A. T. Balaban, J. Chem. Inf. Comp. Sci. 25, 334 (1985).

    Article  CAS  Google Scholar 

  2. E. Estrada. Graph and Network Theory in Physics. WWW Document. (http://arxiv.org/abs/1302.4378).

  3. R.D. Cormia, J.N. Johnsen. Nanotech. IEEE Proc., 11, 942 (2011).

    Google Scholar 

  4. A. Marr and W.D. Wallis, Magic Graphs, 2nd Ed. (Springer, New York, 2013), pp. 15–23.

    Book  Google Scholar 

  5. S-M Lee, H-H Su, and Y-C Wang, Cong. US Numer. 193, 49 (2008).

    Google Scholar 

  6. G. S. Bloom and S.W. Golomb, Lec. Notes in Math. 642, 53 (1978).

    Article  Google Scholar 

  7. G. S. Bloom and S. W. Golomb, Proc. IEEE 65, 562 (1977).

    Article  Google Scholar 

  8. M. Baca. Disc. Math. 105, 305 (1992).

    Article  Google Scholar 

  9. A. Baker and J. Sawada, Lec. Notes Comp. Sci. 5165, 361 (2008).

    Article  Google Scholar 

  10. V. S. Yakovlev, M. I Stockman, F. Krausz and P. Baum, Sci. Rep. 5: 14581, (2015).

    Article  CAS  Google Scholar 

  11. U.S. Army Materiel Command, CC BY 2.0. “Scanning probe microscopy image of graphene,” (2012).

  12. Tomruen (Own work), CC BY-SA 4.0. “Hexagonal Lattice,” (2015).

  13. E. W. Weisstein. “Hexagonal Grid.” WWW Document. (http://mathworld.wolfram.com/HexagonalGrid.html).

  14. E. W. Weisstein. “Graph.” WWW Document. (http://mathworld.wolfram.com/Graph.html).

  15. E. W. Weisstein. “Magic Graph.” WWW Document. (http://mathworld.wolfram.com/MagicGraph.html).

  16. J. Park, G. He, R. M. Feenstra, A. Li. “Atomic-Scale Mapping of Thermoelectric Power on Graphene: Role of Defects and Boundaries.” Nano Lett. 13, 3269 (2013).

    Article  CAS  Google Scholar 

Download references

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Fagnan, E., Cormia, R. Graph-Theoretic Analysis of Nanocarbon Structures. MRS Advances 1, 1761–1766 (2016). https://doi.org/10.1557/adv.2016.113

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  • DOI: https://doi.org/10.1557/adv.2016.113

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