The Experts below are selected from a list of 60519 Experts worldwide ranked by ideXlab platform
Harry L. Swinney - One of the best experts on this subject based on the ideXlab platform.
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An Invariant Distribution in static granular media
Europhysics Letters (EPL), 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for beads packed both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
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an Invariant Distribution in static granular media
EPL, 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for bead packs prepared both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
Mohammad Saadatfar - One of the best experts on this subject based on the ideXlab platform.
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An Invariant Distribution in static granular media
Europhysics Letters (EPL), 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for beads packed both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
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an Invariant Distribution in static granular media
EPL, 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for bead packs prepared both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
Tomaso Aste - One of the best experts on this subject based on the ideXlab platform.
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An Invariant Distribution in static granular media
Europhysics Letters (EPL), 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for beads packed both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
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an Invariant Distribution in static granular media
EPL, 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for bead packs prepared both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
Martin P. W. Zerner - One of the best experts on this subject based on the ideXlab platform.
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The Poisson-Dirichlet law is the unique Invariant Distribution for uniform split-merge transformations
Annals of Probability, 2004Co-Authors: Persi Diaconis, Eddy Mayer-wolf, Ofer Zeitouni, Martin P. W. ZernerAbstract:We consider a Markov chain on the space of (countable) partitions of the interval [0,1], obtained first by size-biased sampling twice (allowing repetitions) and then merging the parts (if the sampled parts are distinct) or splitting the part uniformly (if the same part was sampled twice). We prove a conjecture of Vershik stating that the Poisson--Dirichlet law with parameter θ=1 is the unique Invariant Distribution for this Markov chain. Our proof uses a combination of probabilistic, combinatoric and representation-theoretic arguments.
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The Poisson-Dirichlet law is the unique Invariant Distribution for uniform split-merge transformations
arXiv: Probability, 2003Co-Authors: Persi Diaconis, Eddy Mayer-wolf, Ofer Zeitouni, Martin P. W. ZernerAbstract:We consider a Markov chain on the space of (countable) partitions of the interval [0,1], obtained first by size biased sampling twice (allowing repetitions) and then merging the parts (if the sampled parts are distinct) or splitting the part uniformly (if the same part was sampled twice). We prove a conjecture of Vershik stating that the Poisson-Dirichlet law with parameter theta=1 is the unique Invariant Distribution for this Markov chain. Our proof uses a combination of probabilistic, combinatoric, and representation-theoretic arguments.
T. Di Matteo - One of the best experts on this subject based on the ideXlab platform.
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An Invariant Distribution in static granular media
Europhysics Letters (EPL), 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for beads packed both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
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an Invariant Distribution in static granular media
EPL, 2007Co-Authors: Tomaso Aste, T. Di Matteo, Mohammad Saadatfar, Timothy Senden, Matthias Schröter, Harry L. SwinneyAbstract:We have discovered an Invariant Distribution for local packing configurations in static granular media. This Distribution holds in experiments for packing fractions covering most of the range from random loose packed to random close packed, for bead packs prepared both in air and in water. Assuming only that there exist elementary cells in which the system volume is subdivided, we derive from statistical mechanics a Distribution that is in accord with the observations. This universal Distribution function for granular media is analogous to the Maxwell-Boltzmann Distribution for molecular gasses.
