The totally asymmetric simple exclusion process on networks
We study the totally asymmetric simple exclusion process (TASEP) on complex networks, as a paradigmatic model for transport subject to excluded volume interactions. Building on TASEP phenomenology on a single segment and borrowing ideas from random networks we investigate the effect of connectivity...
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Published in | arXiv.org |
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Main Authors | , , |
Format | Paper Journal Article |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
23.06.2011
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Online Access | Get full text |
ISSN | 2331-8422 |
DOI | 10.48550/arxiv.1105.2905 |
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Abstract | We study the totally asymmetric simple exclusion process (TASEP) on complex networks, as a paradigmatic model for transport subject to excluded volume interactions. Building on TASEP phenomenology on a single segment and borrowing ideas from random networks we investigate the effect of connectivity on transport. In particular, we argue that the presence of disorder in the topology of vertices crucially modifies the transport features of a network: irregular networks involve homogeneous segments and have a bimodal distribution of edge densities, whereas regular networks are dominated by shocks leading to a unimodal density distribution. The proposed numerical approach of solving for mean-field transport on networks provides a general framework for studying TASEP on large networks, and is expected to generalize to other transport processes. |
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AbstractList | Phys. Rev. Lett. 107, 068702 (2011) We study the totally asymmetric simple exclusion process (TASEP) on complex
networks, as a paradigmatic model for transport subject to excluded volume
interactions. Building on TASEP phenomenology on a single segment and borrowing
ideas from random networks we investigate the effect of connectivity on
transport. In particular, we argue that the presence of disorder in the
topology of vertices crucially modifies the transport features of a network:
irregular networks involve homogeneous segments and have a bimodal distribution
of edge densities, whereas regular networks are dominated by shocks leading to
a unimodal density distribution. The proposed numerical approach of solving for
mean-field transport on networks provides a general framework for studying
TASEP on large networks, and is expected to generalize to other transport
processes. We study the totally asymmetric simple exclusion process (TASEP) on complex networks, as a paradigmatic model for transport subject to excluded volume interactions. Building on TASEP phenomenology on a single segment and borrowing ideas from random networks we investigate the effect of connectivity on transport. In particular, we argue that the presence of disorder in the topology of vertices crucially modifies the transport features of a network: irregular networks involve homogeneous segments and have a bimodal distribution of edge densities, whereas regular networks are dominated by shocks leading to a unimodal density distribution. The proposed numerical approach of solving for mean-field transport on networks provides a general framework for studying TASEP on large networks, and is expected to generalize to other transport processes. |
Author | Neri, I Kern, N Parmeggiani, A |
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BackLink | https://doi.org/10.1103/PhysRevLett.107.068702$$DView published paper (Access to full text may be restricted) https://doi.org/10.48550/arXiv.1105.2905$$DView paper in arXiv |
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Snippet | We study the totally asymmetric simple exclusion process (TASEP) on complex networks, as a paradigmatic model for transport subject to excluded volume... Phys. Rev. Lett. 107, 068702 (2011) We study the totally asymmetric simple exclusion process (TASEP) on complex networks, as a paradigmatic model for transport... |
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SubjectTerms | Apexes Density distribution Mathematical models Phenomenology Physics - Cellular Automata and Lattice Gases Physics - Physics and Society Physics - Statistical Mechanics Quantitative Biology - Molecular Networks Topology Transport processes |
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Title | The totally asymmetric simple exclusion process on networks |
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