静态颗粒堆积体系综中拱基微观态熵采样的Wang-Landau算法
Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings
摘要：
我们实现了Wang-Landau算法以等概率采样模型粒度系统的静态配置。所用的“非相互作用刚性拱模型”是基于静态配置的描述，通过分裂成稳定的拱集的颗粒的组件。这种技术使我们能够建立熵作为大型系统的包装体积的函数。我们特别注意到，必须考虑的细节时，定义的微观状态，并提出了正确的采样在这些不寻常的模型的移动。我们比较我们的结果与以前的精确计算的模型在中等系统的大小。该技术为计算更复杂的颗粒模型的熵提供了新的机会。
英文摘要：
We implement the Wang-Landau algorithm to sample with equal probabilities the static configurations of a model granular system. The "non-interacting rigid arch model" used is based on the description of static configurations by means of splitting the assembly of grains into sets of stable arches. This technique allows us to build the entropy as a function of the volume of the packing for large systems. We make a special note of the details that have to be considered when defining the microstates and proposing the moves for the correct sampling in these unusual models. We compare our results with previous exact calculations of the model made at moderate system sizes. The technique opens a new opportunity to calculate the entropy of more complex granular models.
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