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New Optimization Problems Arising in Modelling of 2D-crystal Lattices

机译:2D晶格建模中出现的新优化问题

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The paper considers the problem of finding the structure of a fragment of two-dimensional crystal lattice with the minimal energy. Atoms in a lattice reside on parallel lines (layers). The interatomic distances are the same within one layer but can differ for distinct layers. The energy of the piece of material is computed using so-called potential functions. We used Lennard-Jones, Morse and Tersoff potentials. The proposed formulation can serve as a scalable complex non-smooth optimization test. The paper evaluates various optimization techniques for the problem under consideration, compares their performances and draws the conclusion about the best choice of optimization methods for the problem under test. As a result we were able to locate minima meaningful from the physical point of view, e.g. reproducing graphene lattice.
机译:本文考虑了用最小能量找到二维晶格片段的结构的问题。晶格中的原子位于平行线(层)上。在一层内的内部距离是相同的,但是对于不同的层,可以不同。使用所谓的潜在功能计算该材料的能量。我们使用Lennard-Jones,莫尔斯和统治潜力。所提出的配方可以用作可扩展的复杂非平滑优化测试。本文评估了正在考虑的问题的各种优化技术,比较他们的性能,并得出关于在测试中的问题的最佳优化方法选择的结论。结果,我们能够从物理角度地定位有意义,例如,如此。再现石墨烯晶格。

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