利用随机Wang Tilings压缩随机微结构
Compressing Random Microstructures via Stochastic Wang Tilings
摘要：
本文提出了一种基于随机Wang平铺的技术，在给定的空间统计的基础上压缩或重建无序微结构。与现有的基于单个单元格的方法不同，它利用由随机平铺算法组装的瓦片的有限集合，从而允许以计算高效的方式准确地再现长距离取向顺序。虽然该方法的基本特征被证明为二维颗粒悬浮液，本框架是完全可扩展到通用的多维介质。
英文摘要：
This paper presents a stochastic Wang tiling based technique to compress or reconstruct disordered microstructures on the basis of given spatial statistics. Unlike the existing approaches based on a single unit cell, it utilizes a finite set of tiles assembled by a stochastic tiling algorithm, thereby allowing to accurately reproduce long-range orientation orders in a computationally efficient manner. Although the basic features of the method are demonstrated for a two-dimensional particulate suspension, the present framework is fully extensible to generic multi-dimensional media.
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