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2017 ; 543
(7647
): 657-664
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Functional materials discovery using energy-structure-function maps
#MMPMID28329756
Pulido A
; Chen L
; Kaczorowski T
; Holden D
; Little MA
; Chong SY
; Slater BJ
; McMahon DP
; Bonillo B
; Stackhouse CJ
; Stephenson A
; Kane CM
; Clowes R
; Hasell T
; Cooper AI
; Day GM
Nature
2017[Mar]; 543
(7647
): 657-664
PMID28329756
show ga
Molecular crystals cannot be designed in the same manner as macroscopic objects,
because they do not assemble according to simple, intuitive rules. Their
structures result from the balance of many weak interactions, rather than from
the strong and predictable bonding patterns found in metal-organic frameworks and
covalent organic frameworks. Hence, design strategies that assume a topology or
other structural blueprint will often fail. Here we combine computational crystal
structure prediction and property prediction to build energy-structure-function
maps that describe the possible structures and properties that are available to a
candidate molecule. Using these maps, we identify a highly porous solid, which
has the lowest density reported for a molecular crystal so far. Both the
structure of the crystal and its physical properties, such as methane storage
capacity and guest-molecule selectivity, are predicted using the molecular
structure as the only input. More generally, energy-structure-function maps could
be used to guide the experimental discovery of materials with any target function
that can be calculated from predicted crystal structures, such as electronic
structure or mechanical properties.