Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published October 20, 2008 | Supplemental Material
Journal Article Open

Experimentally-based recommendations of density functionals for predicting properties in mechanically interlocked molecules

Abstract

Mechanically interlocked molecules (rotaxanes and catenanes) have already revolutionized molecular electronics and have the promise of a similar impact in other areas of nanotechnology, ranging from nanoactuators to in vivo drug nanocarriers. However, it would be most useful to have quantitative criteria for predicting structures, binding, and excitation energies for use in designing molecules with mechanical bonds. We assess here the use of density functional theory (DFT) to a noncovalently bound complex and find that no density functional is fully satisfactory. However, we find that the new M06-suite of density functionals, which include attractive medium-range interactions, leads to dramatic improvements in the structures (error of 0.04 Å in the interplanar distances for M06-L compared to 0.42 Å for B3LYP) and excitation energies (within 0.08 eV for TD-M06-HF without empirical correction compared to 2.2 eV error for TD-B3LYP). However, M06 predicts the complex to be too strongly bound by 22.6 kcal mol−1 (B3LYP leads to too weak a bond by 29 kcal mol−1), while current empirical FF DREIDING is too weakly bound by only 15 kcal mol−1.

Additional Information

© 2008 American Chemical Society. Publication Date (Web): October 20, 2008. This research was partially supported by NSF-NIRT(CTS-0608889) and MARCO-FENA. Facilities were funded by grants from ARO-DURIP and ONR-DURIP. Supporting Information Available: Supplied are NMR spectra, thermodynamic properties, and XYZ coordinates. This material is available free of charge via the Internet at http://pubs.acs.org.

Attached Files

Supplemental Material - BENjacs08Supp.pdf

Files

BENjacs08Supp.pdf
Files (380.0 kB)
Name Size Download all
md5:330d0ec6320152f351a7043a90bcbeb6
380.0 kB Preview Download

Additional details

Created:
August 22, 2023
Modified:
October 18, 2023