4.8 Article

Energy-Structure-Function Maps: Cartography for Materials Discovery

Journal

ADVANCED MATERIALS
Volume 30, Issue 37, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.201704944

Keywords

crystal structure prediction; hydrogen-bonded organic frameworks; porous molecular solids; porous organic cages

Funding

  1. European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC [321156 (ERC-AG-PE5-ROBOT), 307358 (ERC-stG-2012-ANGLE)]
  2. EPSRC [EP/N004884/1, EP/K018396/1, EP/K018132/1]
  3. Leverhulme Trust (Leverhulme Research Centre for Functional Materials Design)
  4. [EP/H000925/1]
  5. Engineering and Physical Sciences Research Council [EP/H000925/1, EP/K018132/1, EP/N004884/1, EP/K018396/1] Funding Source: researchfish
  6. EPSRC [EP/K018132/1, EP/K018396/1, EP/H000925/1, EP/N004884/1] Funding Source: UKRI

Ask authors/readers for more resources

Some of the most successful approaches to structural design in materials chemistry have exploited strong directional bonds, whose geometric reliability lends predictability to solid-state assembly. For example, metal-organic frameworks are an important design platform in materials chemistry. By contrast, the structure of molecular crystals is defined by a balance of weaker intermolecular forces, and small changes to the molecular building blocks can lead to large changes in crystal packing. Hence, empirical rules are inherently less reliable for engineering the structures of molecular solids. Energy-structure-function (ESF) maps are a new approach for the discovery of functional organic crystals. These maps fuse crystal-structure prediction with the computation of physical properties to allow researchers to choose the most promising molecule for a given application, prior to its synthesis. ESF maps were used recently to discover a highly porous molecular crystal that has a high methane deliverable capacity and the lowest density molecular crystal reported to date (rho = 0.41 g cm(-3), SA(BET) = 3425 m(2) g(-1)). Progress in this field is reviewed, with emphasis on the future opportunities and challenges for a design strategy based on computed ESF maps.

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