Literature DB >> 28470254

Application of computational methods to the design and characterisation of porous molecular materials.

Jack D Evans1, Kim E Jelfs, Graeme M Day, Christian J Doonan.   

Abstract

Composed from discrete units, porous molecular materials (PMMs) possess unique properties not observed for conventional, extended, solids, such as solution processibility and permanent porosity in the liquid phase. However, identifying the origin of porosity is not a trivial process, especially for amorphous or liquid phases. Furthermore, the assembly of molecular components is typically governed by a subtle balance of weak intermolecular forces that makes structure prediction challenging. Accordingly, in this review we canvass the crucial role of molecular simulations in the characterisation and design of PMMs. We will outline strategies for modelling porosity in crystalline, amorphous and liquid phases and also describe the state-of-the-art methods used for high-throughput screening of large datasets to identify materials that exhibit novel performance characteristics.

Year:  2017        PMID: 28470254     DOI: 10.1039/c7cs00084g

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  5 in total

1.  Automated Rational Design of Metal-Organic Polyhedra.

Authors:  Aleksandar Kondinski; Angiras Menon; Daniel Nurkowski; Feroz Farazi; Sebastian Mosbach; Jethro Akroyd; Markus Kraft
Journal:  J Am Chem Soc       Date:  2022-06-22       Impact factor: 16.383

Review 2.  Porous Molecular Solids and Liquids.

Authors:  Andrew I Cooper
Journal:  ACS Cent Sci       Date:  2017-05-18       Impact factor: 14.553

Review 3.  Unlocking the computational design of metal-organic cages.

Authors:  Andrew Tarzia; Kim E Jelfs
Journal:  Chem Commun (Camb)       Date:  2022-03-18       Impact factor: 6.222

4.  Constructing an ultra-adsorbent based on the porous organic molecules of noria for the highly efficient adsorption of cationic dyes.

Authors:  Danyong Jiang; Ruiping Deng; Gang Li; Guoli Zheng; Huadong Guo
Journal:  RSC Adv       Date:  2020-02-10       Impact factor: 4.036

5.  High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis.

Authors:  R L Greenaway; V Santolini; M J Bennison; B M Alston; C J Pugh; M A Little; M Miklitz; E G B Eden-Rump; R Clowes; A Shakil; H J Cuthbertson; H Armstrong; M E Briggs; K E Jelfs; A I Cooper
Journal:  Nat Commun       Date:  2018-07-20       Impact factor: 14.919

  5 in total

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