Event Title
Cocrystal Structure Prediction and Dynamics
Location
Science Center A254
Start Date
10-28-2016 3:30 PM
End Date
10-28-2016 4:50 PM
Research Program
Materials Research, Science, and Engineering Center REU Program, New York University
Poster Number
1
Abstract
Prediction and dynamics methods created for bioorganic systems and more recently applied to solid-state periodic structures are developed for application to solid-state cocrystal systems. Experimental crystal and cocrystal structures for urea, benzene-1,3-diol (resorcinol), 5-methylbenzene-1,3-diol (orcinol), and 2-methylbenzene-1,3-diol are rationalized and new conformers are predicted through the generation of potential energy landscapes using the random search method with an OPLS classical potential. Unreported cocrystal structures are also examined, and predictions of their experimental viability are made through an examination of crystal lattice energies and structural parameters. In order to assess lattice stability, thermal molecular dynamics (MD) simulations are run on both experimental and predicted low-energy structures. These simulations are then compared to non-thermal structure minimizations, showing that thermal MD is consistently better at predicting experimental structures than non-thermal simulations.
Recommended Citation
Vigilante, Nic, "Cocrystal Structure Prediction and Dynamics" (2016). Celebration of Undergraduate Research. 4.
https://digitalcommons.oberlin.edu/cour/2016/panel_07/4
Major
Chemistry; Environmental Studies; Viola Performance
Project Mentor(s)
Mark Tuckerman, Leslie Vogt, and Elia Schneider, Tuckerman Research Group, Department of Chemistry, New York University
Document Type
Presentation
Cocrystal Structure Prediction and Dynamics
Science Center A254
Prediction and dynamics methods created for bioorganic systems and more recently applied to solid-state periodic structures are developed for application to solid-state cocrystal systems. Experimental crystal and cocrystal structures for urea, benzene-1,3-diol (resorcinol), 5-methylbenzene-1,3-diol (orcinol), and 2-methylbenzene-1,3-diol are rationalized and new conformers are predicted through the generation of potential energy landscapes using the random search method with an OPLS classical potential. Unreported cocrystal structures are also examined, and predictions of their experimental viability are made through an examination of crystal lattice energies and structural parameters. In order to assess lattice stability, thermal molecular dynamics (MD) simulations are run on both experimental and predicted low-energy structures. These simulations are then compared to non-thermal structure minimizations, showing that thermal MD is consistently better at predicting experimental structures than non-thermal simulations.
Notes
Session II, Panel 7 - Atoms & Molecules