Imperial College London
Portrait Picture

ProfessorKimJelfs

Faculty of Natural Sciences, Department of Chemistry

Professor in Computational Materials Chemistry
 
 
 
//

Contact

 

+44 (0)20 7594 3438k.jelfs Website

 
 
//

Location

 

207AMolecular Sciences Research HubWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Berardo:2020:10.1039/C9ME00085B,
author = {Berardo, E and Miklitz, M and Greenaway, R and Cooper, A and Jelfs, K},
doi = {10.1039/C9ME00085B},
journal = {Molecular Systems Design and Engineering},
pages = {186--196},
title = {Computational screening for nested organic cage complexes},
url = {http://dx.doi.org/10.1039/C9ME00085B},
volume = {5},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Supramolecular self-assembly has allowed the synthesis of beautiful and complex molecular architectures, such as cages, macrocycles, knots, catenanes, and rotaxanes. We focus here on porous organic cages, which are molecules that have an intrinsic cavity and multiple windows. These cages have been shown to be highly effective at molecular separations and encapsulations. We investigate the possibility of complexes where one cage sits within the cavity of another. We term this a ‘nested cage’ complex. The design of such complexes is highly challenging, so we use computational screening to explore 8712 different pair combinations, running almost 0.5M calculations to sample the phase space of the cage conformations. Through analysing the binding energies of the assemblies, we identify highly energetically favourable pairs of cages in nested cage complexes. The vast majority of the most favourable complexes include the large imine cage reported by Gawronski and co-workers using a [8+12] reaction of 4- ´ tert butyl-2,6-diformylphenol and cis,cis-1,3,5-triaminocyclohexane. The most energetically favourable nested cage complex combines the Gawronski cage with a dodecaamide cage that has six vertices, which can sit in the ´ six windows of the larger cage. We also identify cages that have favourable binding energies for self-catenation.
AU  - Berardo,E
AU  - Miklitz,M
AU  - Greenaway,R
AU  - Cooper,A
AU  - Jelfs,K
DO  - 10.1039/C9ME00085B
EP  - 196
PY  - 2020///
SN  - 2058-9689
SP  - 186
TI  - Computational screening for nested organic cage complexes
T2  - Molecular Systems Design and Engineering
UR  - http://dx.doi.org/10.1039/C9ME00085B
UR  - https://pubs.rsc.org/en/content/articlelanding/2020/ME/C9ME00085B#!divAbstract
UR  - http://hdl.handle.net/10044/1/72523
VL  - 5
ER  -
Download