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20032009
most citedAnisotropic Reinforcement of Nanocomposites Tuned by Magnetic Orientation of the Filler Network

75 citations

Showing 2009Show all

9 papers · 1 filter

cs.DC2009

On the Convergence of Population Protocols When Population Goes to Infinity

Olivier Bournez, Philippe Chassaing, Johanne Cohen +2

Population protocols have been introduced as a model of sensor networks consisting of very limited mobile agents with no control over their own movement. A population protocol corr…

math.CO2009

Avalanche polynomials

Robert Cori, Anne Micheli, Dominique Rossin

The avalanche polynomial on a graph captures the distribution of avalanches in the abelian sandpile model. Studied on trees, this polynomial could be defined by simply considering…

cs.DS20094 cited

Fast Computation of Empirically Tight Bounds for the Diameter of Massive Graphs

Clemence Magnien, Matthieu Latapy, Michel Habib

The diameter of a graph is among its most basic parameters. Since a few years, it moreover became a key issue to compute it for massive graphs in the context of complex network ana…

math.CO2009

Graphs with bounded tree-width and large odd-girth are almost bipartite

Alexandr V. Kostochka, Daniel Kral', Jean-Sebastien Sereni +1

We prove that for every and every , there exists such that every graph with tree-width at most and odd-girth at least has circular chromatic number a…

cond-mat.mtrl-sci200975 cited

Anisotropic Reinforcement of Nanocomposites Tuned by Magnetic Orientation of the Filler Network

Jacques Jestin, Fabrice Cousin, Isabelle Dubois +4

We present a new material which displays anisotropic and mechanical properties tuneable during synthesis under magnetic field. It is formulated by mixing aqueous suspensions of pol…

cs.CC2009

Polylog space compression, pushdown compression, and Lempel-Ziv are incomparable

Elvira Mayordomo, Philippe Moser, Sylvain Perifel

The pressing need for efficient compression schemes for XML documents has recently been focused on stack computation, and in particular calls for a formulation of information-lossl…