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The polymorphs of ROY: Application of a systematic crystal structure prediction technique

机译:ROY的多晶型物:系统晶体结构预测技术的应用

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We investigate the ability of current ab initio crystal structure prediction techniques to identify the polymorphs of 5-methyl-2-[(2-nitrophenyl) amino]-3-thiophenecarbonitrile, also known as ROY because of the red, orange and yellow colours of its polymorphs. We use a methodology combining the generation of a large number of structures based on a computationally inexpensive model using the CrystalPredictor global search algorithm, and the further minimization of the most promising of these structures using the CrystalOptimizer local minimization algorithm which employs an accurate, yet efficiently constructed, model based on isolated-molecule quantum-mechanical calculations. We demonstrate that this approach successfully predicts the seven experimentally resolved structures of ROY as lattice-energy minima, with five of these structures being within the 12 lowest energy structures predicted. Some of the other low-energy structures identified are likely candidates for the still unresolved polymorphs of this molecule. The relative stability of the predicted structures only partially matches that of the experimentally resolved polymorphs. The worst case is that of polymorph ON, whose relative energy with respect to Y is overestimated by 6.65 kJ mol~(-1). This highlights the need for further developments in the accuracy of the energy calculations.
机译:我们研究了当前的从头算晶体结构预测技术确定5-甲基-2-[((2-硝基苯基)氨基] -3-噻吩甲腈多晶型的能力,由于其红色,橙色和黄色,也称为ROY它的多态。我们使用一种方法,该方法结合使用CrystalPredictor全局搜索算法基于计算成本低廉的模型生成大量结构,并使用CrystalOptimizer局部最小化算法进一步最小化这些结构中最有前途的结构,该算法采用准确而高效的方法基于孤立分子的量子力学计算构建模型。我们证明该方法成功地将ROY的七个实验解析结构预测为晶格能量最小值,其中五个结构处于所预测的12个最低能量结构之内。鉴定出的一些其他低能结构可能是该分子尚未解析的多晶型物的候选物。预测结构的相对稳定性仅部分匹配实验解析的多晶型物。最坏的情况是多晶型态ON,其相对于Y的相对能量被高估了6.65 kJ mol〜(-1)。这凸显了进一步发展能量计算准确性的需求。

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