Issue 38, 2017

Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data

Abstract

This paper explores the capability of using the DFT-D ab initio random structure searching (AIRSS) method to generate crystal structures of organic molecular materials, focusing on a system (m-aminobenzoic acid; m-ABA) that is known from experimental studies to exhibit abundant polymorphism. Within the structural constraints selected for the AIRSS calculations (specifically, centrosymmetric structures with Z = 4 for zwitterionic m-ABA molecules), the method is shown to successfully generate the two known polymorphs of m-ABA (form III and form IV) that have these structural features. We highlight various issues that are encountered in comparing crystal structures generated by AIRSS to experimental powder X-ray diffraction (XRD) data and solid-state magic-angle spinning (MAS) NMR data, demonstrating successful fitting for some of the lowest energy structures from the AIRSS calculations against experimental low-temperature powder XRD data for known polymorphs of m-ABA, and showing that comparison of computed and experimental solid-state NMR parameters allows different hydrogen-bonding motifs to be discriminated.

Graphical abstract: Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data

Supplementary files

Article information

Article type
Paper
Submitted
21 Jun 2017
Accepted
30 Aug 2017
First published
25 Sep 2017
This article is Open Access
Creative Commons BY license

Phys. Chem. Chem. Phys., 2017,19, 25949-25960

Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data

M. Zilka, D. V. Dudenko, C. E. Hughes, P. A. Williams, S. Sturniolo, W. T. Franks, C. J. Pickard, J. R. Yates, K. D. M. Harris and S. P. Brown, Phys. Chem. Chem. Phys., 2017, 19, 25949 DOI: 10.1039/C7CP04186A

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