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Evolutionary search for superhard materials: Methodology and applications to forms of carbon and TiO_2

机译:进化探索超硬材料:方法和在碳和TiO_2形式中的应用

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We have developed a method for prediction of the hardest crystal structures in a given chemical system. It is based on the evolutionary algorithm USPEX (Universal Structure Prediction: Evolutionary Xtallography) and electronegativity-based hardness model that we have augmented with bond-valence model and graph theory. These extensions enable correct description of the hardness of layered, molecular, and low-symmetry crystal structures. Applying this method to C and TiO_2, we have (i) obtained a number of low-energy carbon structures with hardness slightly lower than diamond and (ii) proved that TiO_2 in any of its possible polymorphs cannot be the hardest oxide, its hardness being below 17 GPa.
机译:我们已经开发出一种预测给定化学系统中最硬晶体结构的方法。它基于进化算法USPEX(通用结构预测:进化Xtallography)和基于电负性的硬度模型,并通过键合价模型和图论进行了扩充。这些扩展可以正确描述层状,分子和低对称晶体结构的硬度。将此方法应用于C和TiO_2,我们(i)获得了许多硬度稍低于金刚石的低能碳结构,并且(ii)证明TiO_2的任何可能的多晶型物都不是最坚硬的氧化物,其硬度为低于17 GPa。

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