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Percolation thresholds for discrete-continuous models with nonuniform probabilities of bond formation

机译:具有不均匀的成键概率的离散连续模型的渗流阈值

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摘要

We introduce a class of discrete-continuous percolation models and an efficient Monte Carlo algorithm for computing their properties. The class is general enough to include well-known discrete and continuous models as special cases. We focus on a particular example of such a model, a nanotube model of disintegration of activated carbon. We calculate its exact critical threshold in two dimensions and obtain a Monte Carlo estimate in three dimensions. Furthermore, we use this example to analyze and characterize the efficiency of our algorithm, by computing critical exponents and properties, finding that it compares favorably to well-known algorithms for simpler systems. © 2016 American Physical Society.
机译:我们介绍了一类离散连续渗流模型和一种有效的蒙特卡洛算法来计算其属性。该类足够通用,可以包含众所周知的离散和连续模型作为特殊情况。我们专注于这种模型的一个特定例子,即活性炭分解的纳米管模型。我们在二维中计算其精确的临界阈值,并在三维中获得蒙特卡洛估计。此外,我们使用该示例通过计算关键指数和属性来分析和表征算法的效率,发现它与较简单系统的知名算法相比具有优势。 ©2016美国物理学会。

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