摘要翻译：
无序材料的缓慢动力学阻碍了在大尺度上直接模拟其丰富的非平衡行为。“拼接动力学”被引入，通过在连续的长度尺度上直接平衡或优化，来模拟在非常广泛的时间尺度范围内的松弛。这个动力学被用来研究粗化和复制自旋玻璃和随机铁磁体的记忆效应。它也用于在大样品或环形样品中以高置信度找到精确的基态。
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英文标题：
《Persistence and Memory in Patchwork Dynamics for Glassy Models》
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作者：
Creighton K. Thomas, Olivia L. White, A. Alan Middleton
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Disordered Systems and Neural Networks        无序系统与神经网络
分类描述：Glasses and spin glasses; properties of random, aperiodic and quasiperiodic systems; transport in disordered media; localization; phenomena mediated by defects and disorder; neural networks
眼镜和旋转眼镜；随机、非周期和准周期系统的性质；无序介质中的传输；本地化；由缺陷和无序介导的现象；神经网络
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  Slow dynamics in disordered materials prohibits direct simulation of their rich nonequilibrium behavior at large scales. "Patchwork dynamics" is introduced to mimic relaxation over a very broad range of time scales by equilibrating or optimizing directly on successive length scales. This dynamics is used to study coarsening and to replicate memory effects for spin glasses and random ferromagnets. It is also used to find, with high confidence, exact ground states in large or toroidal samples.
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PDF链接：
https://arxiv.org/pdf/708.0683