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Fullerene nanodiscs: from chemistry to combinatorics

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Universidade Federal do Rio de Janeiro

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A graph is a mathematical model used to represent relationships between objects. The general characteristics that objects and their relationships can assume allowed the construction of the (so-called) Graph Theory, which has been applied to model large scale problems in several areas, such as Mathematics, Physics, Computer Science, Engineering, Chemistry and Psychology. Fullerene graphs are mathematical models for carbon-based molecules experimentally discovered in the early 1980. Many parameters associated with these graphs have been discussed to describe the stability of fullerene molecules. By definition, fullerene graphs are cubic, planar, 3-connected with pentagonal and hexagonal faces. A total coloring of a graph G assigns colors to the vertices and edges of G such that adjacent or incident elements have different colors. The famous Total Coloring Conjecture open for 50 years is settled for cubic graphs, but not to arbitrary regular graphs nor to arbitrary planar graphs. The length of the shortest cycle in a graph is called girth. Our goal is to study the total coloring of an infinite subfamily of fullerene graphs, the fullerene nanodiscs Dr, with distance between the inner (outer) layer and the central layer given by the radius parameter r ≥ 2, motivated by a conjecture that the girth of a graph is a relevant parameter in the study of total coloring. To highlight the choice of the studied graph class, we present a historical scenario of the carbon molecule discovery that can be modeled through a special cubic planar graph of girth 5. We contribute by giving the first combinatorial description for fullerene nanodiscs, aiming to improve the understanding of this class and then a conformable coloring for infinite families of fullerene nanodiscs, so that we are able to tackle the challenging total coloring of these graphs.

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CRUZ, Mariana Martins Ferreira da. Fullerene nanodiscs: from chemistry to combinatorics. 2022. 107 f. Dissertação (Mestrado) - Curso de Pós-Graduação em Engenharia em Sistemas de Computação, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 2022.

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