Abstract
Polymorphism is pervasive in molecular solids. While computational predictions of the molecular polymorphic landscape have improved significantly, identifying which polymorphs are preferentially accessed and experimentally stable remains a challenge. We report a framework that correlates short intermolecular contacts with polymorphic stability. The presence of short contacts between neighboring molecules prevents structural rearrangement and stabilizes the packing arrangement, even when the stabilized polymorph is not enthalpically favored. In the absence of such intermolecular short contacts, the molecules have added degrees of freedom for structural rearrangement, and solid-solid polymorphic transformations occur readily. Starting with a series of core-halogenated naphthalene tetracarboxylic diimides, we establish this framework with the packing polymorphs of more than 20 compounds, ranging from molecular semiconductors to pharmaceutics and biological building blocks. This framework, widely applicable across molecular solids, can help refine computational predictions by identifying the polymorphs that are kinetically stable.
Original language | English (US) |
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Pages (from-to) | 7519-7525 |
Number of pages | 7 |
Journal | Journal of the American Chemical Society |
Volume | 140 |
Issue number | 24 |
DOIs | |
State | Published - Jun 20 2018 |
Funding
A portion of this work was conducted at the Cornell High Energy Synchrotron Source (CHESS), which is supported by the National Science Foundation (NSF) under Award DMR-1332208. G.E.P. acknowledges financial support from the Department of Defense (DoD) through the National Defense Science and Engineering Graduate Fellowship (NDSEG) Program. G.E.P. and Y.-L.L. acknowledge NSF funding under Award DMR-1627453, as well as that from the Princeton Center for Complex Materials, a MRSEC supported by NSF under Award DMR-1420541. C.R. and J.E.A. acknowledge the NSF under Award DMR-1627428, and C.R. thanks the University of Kentucky Vice President for Research for start-up funds. Supercomputing resources on the Lipscomb High Performance Computing Cluster were provided by the University of Kentucky Information Technology Department and Center for Computational Sciences (CCS).
ASJC Scopus subject areas
- General Chemistry
- Biochemistry
- Catalysis
- Colloid and Surface Chemistry
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CCDC 1570696: Experimental Crystal Structure Determination
Purdum, G. E. (Creator), Telesz, N. G. (Creator), Jarolimek, K. (Creator), Ryno, S. M. (Creator), Gessner, T. (Creator), Davy, N. C. (Creator), Petty, A. J. (Contributor), Zhen, Y. (Creator), Shu, Y. (Creator), Facchetti, A. (Creator), Collis, G. E. (Creator), Hu, W. (Creator), Wu, C. (Creator), Anthony, J. E. (Creator), Weitz, R. T. (Creator), Risko, C. (Creator) & Loo, Y.-L. (Creator), Cambridge Crystallographic Data Centre, 2018
DOI: 10.5517/ccdc.csd.cc1pqfmg, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1pqfmg&sid=DataCite
Dataset
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CCDC 1570981: Experimental Crystal Structure Determination
Purdum, G. E. (Creator), Telesz, N. G. (Creator), Jarolimek, K. (Creator), Ryno, S. M. (Creator), Gessner, T. (Creator), Davy, N. C. (Creator), Petty, A. J. (Contributor), Zhen, Y. (Creator), Shu, Y. (Creator), Facchetti, A. (Creator), Collis, G. E. (Creator), Hu, W. (Creator), Wu, C. (Creator), Anthony, J. E. (Creator), Weitz, R. T. (Creator), Risko, C. (Creator) & Loo, Y.-L. (Creator), Cambridge Crystallographic Data Centre, 2018
DOI: 10.5517/ccdc.csd.cc1pqqty, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1pqqty&sid=DataCite
Dataset
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CCDC 1570695: Experimental Crystal Structure Determination
Purdum, G. E. (Creator), Telesz, N. G. (Creator), Jarolimek, K. (Creator), Ryno, S. M. (Creator), Gessner, T. (Creator), Davy, N. C. (Creator), Petty, A. J. (Contributor), Zhen, Y. (Creator), Shu, Y. (Creator), Facchetti, A. (Creator), Collis, G. E. (Creator), Hu, W. (Creator), Wu, C. (Creator), Anthony, J. E. (Creator), Weitz, R. T. (Creator), Risko, C. (Creator) & Loo, Y.-L. (Creator), Cambridge Crystallographic Data Centre, 2018
DOI: 10.5517/ccdc.csd.cc1pqflf, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1pqflf&sid=DataCite
Dataset