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- W2465722551 abstract "Significance Nature often uses interlinked networks to transport matter or information. In many cases, the physical or virtual flows between network nodes are actively driven, consuming energy to achieve transport along different links. However, there are currently very few elementary principles known to predict the behavior of this broad class of nonequilibrium systems. Our work develops a generic foundational understanding of mass-conserving active flow networks. By merging previously disparate concepts from mathematical graph theory and physicochemical reaction rate theory, we relate the self-organizing behavior of actively driven flows to the fundamental topological symmetries of the underlying network, resulting in a class of predictive models with applicability across many biological scales." @default.
- W2465722551 created "2016-07-22" @default.
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- W2465722551 date "2016-07-05" @default.
- W2465722551 modified "2023-09-27" @default.
- W2465722551 title "Stochastic cycle selection in active flow networks" @default.
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- W2465722551 doi "https://doi.org/10.1073/pnas.1603351113" @default.
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