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Temperature 1 Self-Assembly: Deterministic Assembly in 3D and Probabilistic Assembly in 2D

机译:温度1自组装:3D和3D中的确定性装配   2D中的概率装配

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摘要

We investigate the power of the Wang tile self-assembly model at temperature1, a threshold value that permits attachment between any two tiles that shareeven a single bond. When restricted to deterministic assembly in the plane, notemperature 1 assembly system has been shown to build a shape with a tilecomplexity smaller than the diameter of the shape. In contrast, we show thattemperature 1 self-assembly in 3 dimensions, even when growth is restricted toat most 1 step into the third dimension, is capable of simulating a large classof temperature 2 systems, in turn permitting the simulation of arbitrary Turingmachines and the assembly of $n\times n$ squares in near optimal $O(\log n)$tile complexity. Further, we consider temperature 1 probabilistic assembly in2D, and show that with a logarithmic scale up of tile complexity and shapescale, the same general class of temperature $\tau=2$ systems can be simulatedwith high probability, yielding Turing machine simulation and $O(\log^2 n)$assembly of $n\times n$ squares with high probability. Our results show a sharpcontrast in achievable tile complexity at temperature 1 if either growth intothe third dimension or a small probability of error are permitted. Motivated byapplications in nanotechnology and molecular computing, and the plausibility ofimplementing 3 dimensional self-assembly systems, our techniques may providethe needed power of temperature 2 systems, while at the same time avoiding theexperimental challenges faced by those systems.
机译:我们研究了温度为1时Wang瓷砖自组装模型的威力,该阈值允许任何两个共享同一键的瓷砖之间进行附着。当仅限于在平面上进行确定性组装时,没有温度1组装系统显示出其形状复杂度小于形状直径的形状。相比之下,我们显示了3维温度1自组装,即使将生长限制在至第三维最多1步之内,也能够模拟一大类温度2系统,进而可以模拟任意图灵机和装配接近最佳$ O(\ log n)$ tile复杂度的$ n \ times n $平方。此外,我们考虑了温度1概率装配在2D中的情况,并显示出随着瓷砖复杂度和形状比例的对数放大,可以以较高的概率模拟相同的温度类别$ \ tau = 2 $系统,从而产生了图灵机模拟和$ O (\ log ^ 2 n)$ n次乘以n $平方的组合。我们的结果表明,如果允许增长到三维或允许较小的错误概率,则在温度1下可实现的图块复杂度形成鲜明对比。受纳米技术和分子计算中应用的推动,以及实施3维自组装系统的合理性,我们的技术可提供所需的温度2系统功率,同时避免了这些系统面临的实验挑战。

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