论文标题
软物质中异质性的非高斯信息
Non Gaussian information of heterogeneity in Soft Matter
论文作者
论文摘要
非高斯分子位移分布形式的动力学异质性在软物质中出现。我们使用信息理论度量对实际位移分布与其最接近的高斯估计之间的距离进行量化解决了这种异质性。我们在异质媒体中随机步行者的两个通用场景中探讨了该度量的有用性。我们表明，根据力矩比，我们提出的措施比传统的措施更好地量化了非高斯的量化。
Heterogeneity in dynamics in the form of non-Gaussian molecular displacement distributions appears ubiquitously in soft matter. We address the quantification of such heterogeneity using an information-theoretic measure of the distance between the actual displacement distribution and its nearest Gaussian estimation. We explore the usefulness of this measure in two generic scenarios of random walkers in heterogeneous media. We show that our proposed measure leads to a better quantification of non-Gaussianity than the conventional ones based on moment ratios.
