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Predicting Polymeric Crystal Structures by Evolutionary Algorithms

机译:用进化算法预测聚合物晶体结构

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摘要

The recently developed evolutionary algorithm USPEX proved to be a tool thatenables accurate and reliable prediction of structures for a given chemicalcomposition. Here we extend this method to predict the crystal structure ofpolymers by performing constrained evolutionary search, where each monomericunit is treated as one or several building blocks with fixed connectivity. Thisgreatly reduces the search space and allows the initial structure generationwith different sequences and packings using these blocks. The new constrainedevolutionary algorithm is successfully tested and validated on a diverse rangeof experimentally known polymers, namely polyethylene (PE), polyacetylene (PA),poly(glycolic acid) (PGA), poly(vinyl chloride) (PVC), poly(oxymethylene)(POM), poly(phenylene oxide) (PPO), and poly (p-phenylene sulfide) (PPS). Byfixing the orientation of polymeric chains, this method can be further extendedto predict all polymorphs of poly(vinylidene fluoride) (PVDF), and the complexlinear polymer crystals, such as nylon-6 and cellulose. The excellent agreementbetween predicted crystal structures and experimentally known structuresassures a major role of this approach in the efficient design of the futurepolymeric materials.
机译:事实证明,最近开发的进化算法USPEX是一种工具,可以针对给定的化学组成准确而可靠地预测结构。在这里,我们通过执行受限的进化搜索将这种方法扩展为预测聚合物的晶体结构,其中每个单体单元都被视为一个或多个固定连接性的结构单元。这极大地减少了搜索空间,并允许使用这些块以不同的顺序和堆积生成初始结构。新的约束分解算法已在各种实验已知的聚合物上成功测试和验证,这些聚合物是聚乙烯(PE),聚乙炔(PA),聚乙醇酸(PGA),聚氯乙烯(PVC),聚甲醛(POM),聚苯醚(PPO)和聚对苯硫醚(PPS)。通过固定聚合物链的方向,可以进一步扩展该方法以预测聚偏二氟乙烯(PVDF)的所有多晶型物以及复杂的线性聚合物晶体,例如尼龙6和纤维素。预测的晶体结构与实验已知的结构之间的出色一致性确保了该方法在未来聚合物材料的有效设计中的重要作用。

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