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arXiv 2105.02672physics.comp-phmath.OC
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大规模三维分子力学几何优化的自适应多重网格策略

Adaptive Multigrid Strategy for Geometry Optimization of Large-Scale Three Dimensional Molecular Mechanics

Kejie Fu, Mingjie Liao, Yangshuai Wang, Jianjun Chen, Lei Zhang

摘要:

本文提出了一种有效的自适应多重网格策略,用于大规模三维分子力学的几何优化。所得到的方法可以实现显着降低的复杂性,通过利用固有的低秩属性的材料配置,并通过结合国家的最先进的自适应技术与层次结构的多重网格算法。为了更准确地说,我们发展了一种具有自适应原子/连续(a/c)耦合的单向多重网格方法,例如,混合鬼力校正(BGFC)近似与梯度为基础的后验误差估计的粗水平。我们利用国家的最先进的三维网格生成技术,有效地实现该方法。对于3D晶体缺陷,如空位,微裂纹和位错,与蛮力优化相比,可以观察到具有优越速率的复杂性,并且该策略在具有$10^8$原子的系统的CPU时间方面具有五倍的加速。

英文摘要:

In this paper, we present an efficient adaptive multigrid strategy for the geometry optimization of large-scale three dimensional molecular mechanics. The resulting method can achieve significantly reduced complexity by exploiting the intrinsic low-rank property of the material configurations and by combining the state-of-the-art adaptive techniques with the hierarchical structure of multigrid algorithms. To be more precise, we develop a oneway multigrid method with adaptive atomistic/continuum (a/c) coupling, e.g., blended ghost force correction (BGFC) approximations with gradient-based a posteriori error estimators on the coarse levels. We utilize state-of-the-art 3D mesh generation techniques to effectively implement the method. For 3D crystalline defects, such as vacancies, micro-cracks and dislocations, compared with brute-force optimization, complexity with superior rates can be observed numerically, and the strategy has a five-fold acceleration in terms of CPU time for systems with $10^8$ atoms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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