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A Two-Stage Monte Carlo Approach for Optimization of Bimetallic Nanostructures

机译:一种双阶段优化双金属纳米结构的蒙特卡洛方法

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摘要

In this paper we propose a two-stage lattice Monte Carlo approach for optimization of bimetallic nanoalloys: simulated annealing on a larger lattice, followed by simulated diffusion. Both algorithms are fairly similar in structure, but their combination was found to give significantly better solutions than simulated annealing alone. We also discuss how to tune the parameters of the algorithms so that they work together optimally.
机译:在本文中,我们提出了一种用于优化双金属纳米合金的两阶段晶格蒙特卡洛方法:在较大晶格上进行模拟退火,然后进行模拟扩散。两种算法在结构上都非常相似,但是发现它们的组合比单独的模拟退火提供了更好的解决方案。我们还将讨论如何调整算法的参数,以使它们以最佳方式协同工作。

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