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ROY的多晶型物:一种系统晶体结构预测技术的应用

The polymorphs of ROY: application of a systematic crystal structure prediction technique.

作者信息

Vasileiadis Manolis, Kazantsev Andrei V, Karamertzanis Panagiotis G, Adjiman Claire S, Pantelides Constantinos C

机构信息

Department of Chemical Engineering, Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, England.

出版信息

Acta Crystallogr B. 2012 Dec;68(Pt 6):677-85. doi: 10.1107/S0108768112045636. Epub 2012 Nov 16.

DOI:10.1107/S0108768112045636
PMID:23165604
Abstract

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.

摘要

我们研究了当前从头算晶体结构预测技术识别5-甲基-2-[(2-硝基苯基)氨基]-3-噻吩甲腈多晶型物的能力,因其多晶型物具有红色、橙色和黄色,该物质也被称为ROY。我们采用了一种方法,该方法结合了使用CrystalPredictor全局搜索算法基于计算成本较低的模型生成大量结构,以及使用CrystalOptimizer局部最小化算法对这些最有前景的结构进行进一步最小化,CrystalOptimizer局部最小化算法采用基于孤立分子量子力学计算的精确且高效构建的模型。我们证明,这种方法成功地将ROY的七个实验解析结构预测为晶格能量最小值,其中五个结构在预测的12个最低能量结构之内。所识别出的一些其他低能量结构可能是该分子尚未解析的多晶型物的候选结构。预测结构的相对稳定性仅部分与实验解析的多晶型物的相对稳定性相匹配。最糟糕的情况是多晶型物ON,其相对于Y的相对能量被高估了6.65 kJ mol(-1)。这突出了在能量计算准确性方面进一步发展的必要性。

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