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arXiv 2104.09764cond-mat.mtrl-scics.NE
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高对称性材料晶体结构的差分演化预测

Crystal structure prediction of materials with high symmetry using differential evolution

Wenhui Yang, Edirisuriya M. Dilanga Siriwardane, Rongzhi Dong, Yuxin Li, Jianjun Hu

摘要:

晶体结构决定材料的性能。利用化学物质的晶体结构,可以通过第一性原理计算或机器学习模型预测许多物理和化学性质。由于它是相对容易产生一个假设的化学有效的公式,晶体结构预测成为发现新材料的重要方法。在我们之前的工作中,我们提出了一种基于接触图的晶体结构预测方法,该方法使用全局优化算法(如遗传算法)来最大化预测结构的接触图与真实晶体结构的接触图之间的匹配,以搜索Wyckoff位置(WP)处的坐标。然而,当预测具有高对称性的晶体结构时,我们发现全局优化算法很难找到满足化学式的WP的有效组合,这主要是由预测晶体结构的接触图的维数与目标晶体结构的接触图的维数不一致引起的。这使得预测高对称性晶体的晶体结构具有挑战性。为了解决这个问题,我们提出使用PyXtal来生成和过滤具有给定对称性约束的随机晶体结构,这些约束基于化学式和空间群等信息。以接触图为优化目标,采用差分进化算法搜索Wyckoff位置的非特殊坐标,实现高对称性晶体材料的结构预测。实验结果表明,CMCrystalHS算法能有效地解决接触图维数不一致的问题,并能预测具有高对称性的晶体结构.

英文摘要:

Crystal structure determines properties of materials. With the crystal structure of a chemical substance, many physical and chemical properties can be predicted by first-principles calculations or machine learning models. Since it is relatively easy to generate a hypothetical chemically valid formula, crystal structure prediction becomes an important method for discovering new materials. In our previous work, we proposed a contact map-based crystal structure prediction method, which uses global optimization algorithms such as genetic algorithms to maximize the match between the contact map of the predicted structure and the contact map of the real crystal structure to search for the coordinates at the Wyckoff Positions(WP). However, when predicting the crystal structure with high symmetry, we found that the global optimization algorithm has difficulty to find an effective combination of WPs that satisfies the chemical formula, which is mainly caused by the inconsistency between the dimensionality of the contact map of the predicted crystal structure and the dimensionality of the contact map of the target crystal structure. This makes it challenging to predict the crystal structures of high-symmetry crystals. In order to solve this problem, here we propose to use PyXtal to generate and filter random crystal structures with given symmetry constraints based on the information such as chemical formulas and space groups. With contact map as the optimization goal, we use differential evolution algorithms to search for non-special coordinates at the Wyckoff positions to realize the structure prediction of high-symmetry crystal materials. Our experimental results show that our proposed algorithm CMCrystalHS can effectively solve the problem of inconsistent contact map dimensions and predict the crystal structures with high symmetry.

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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