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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.

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Text file https://doi.org/10.1107/S0108768112045636/ps5020sup1.txt
Computed PXRD patterns for 7 candidate polymorphs and comparative energy calculations

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Portable Document Format (PDF) file https://doi.org/10.1107/S0108768112045636/ps5020sup2.pdf
Computed PXRD patterns for 7 candidate polymorphs and comparative energy calculations


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