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Self-assembly of Shapes at Constant Scale Using Repulsive Forces

机译:使用排斥力在不断规模的形状自组装

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The algorithmic self-assembly of shapes has been considered in several models of self-assembly. For the problem of shape construction, we consider an extended version of the Two-Handed Tile Assembly Model (2HAM), which contains positive (attractive) and negative (repulsive) interactions. As a result, portions of an assembly can become unstable and detach. In this model, we utilize fuel-efficient computation to perform Turing machine simulations for the construction of the shape. In this paper, we show how an arbitrary shape can be constructed using an asymptotically optimal number of distinct tile types (based on the shape's Kolmogorov complexity). We achieve this at O(1) scale factor in this straightforward model, whereas all previous results with sublinear scale factors utilize powerful self-assembly models containing features such as staging, tile deletion, chemical reaction networks, and tile activation/deactivation. Furthermore, the computation and construction in our result only creates constant-size garbage assemblies as a byproduct of assembling the shape.
机译:在多个型号的自组装模型中考虑了形状的算法自组装。对于形状结构的问题,我们考虑了双手瓷砖装配模型(2HAM)的扩展版本,其中包含正(有吸引力)和负(令人厌恶)的相互作用。结果,组件的部分可以变得不稳定和分离。在该模型中,我们利用省油的计算来执行用于构建形状的图灵机模拟。在本文中,我们展示了如何使用渐近最佳的不同区块类型(基于形状的Kolmogorov复杂度)来构建任意形状。我们在这种直接模型中的o(1)刻度因子在o(1)尺度因子中实现了这一点,而所有先前的Sublinear刻度因素的结果利用了包含分期,瓦片删除,化学反应网络和瓷砖激活/停用等功能的强大自组装模型。此外,我们的结果中的计算和构造仅创建恒定大小的垃圾组件作为组装形状的副产品。

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