2013
DOI: 10.1126/science.1226558
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Computationally Assisted Identification of Functional Inorganic Materials

Abstract: The design of complex inorganic materials is a challenge because of the diversity of their potential structures. We present a method for the computational identification of materials containing multiple atom types in multiple geometries by ranking candidate structures assembled from extended modules containing chemically realistic atomic environments. Many existing functional materials can be described in this way, and their properties are often determined by the chemistry and electronic structure of their con… Show more

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Cited by 68 publications
(66 citation statements)
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“…Moreover, the recent huge progress in computer science has made it possible to use computational calculations and simulations as powerful research tools in chemistry and materials science areas including materials discovery, mechanistic studies, etc. Particular attention should be paid to crystal structure prediction techniques, which will be of great benefit for the discovery of new COMs based on old macrocycles. In addition, molecular simulations may also be helpful to better understand the structure–function relationships in macrocycle‐based COMs and give inspirations about structural design toward task‐specific applications .…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, the recent huge progress in computer science has made it possible to use computational calculations and simulations as powerful research tools in chemistry and materials science areas including materials discovery, mechanistic studies, etc. Particular attention should be paid to crystal structure prediction techniques, which will be of great benefit for the discovery of new COMs based on old macrocycles. In addition, molecular simulations may also be helpful to better understand the structure–function relationships in macrocycle‐based COMs and give inspirations about structural design toward task‐specific applications .…”
Section: Resultsmentioning
confidence: 99%
“…By contrast, most MOFs, COFs, and polymers are prepared from smaller building blocks, which increases computational expense for unconstrained structure-composition searches. It is possible that a strategy of "extended modules," as used to predict function for inorganic oxides (126), might also be adapted to porous framework solids so that the structure and function of complex materials could be predicted in a more granular way.…”
Section: De Novo Computational Designmentioning
confidence: 99%
“…Solid-state synthesis is slow, resulting from relatively long diffusion distances (typically on the order of the particle size of the raw materials) and often suffers from the formation of recalcitrant intermediate phases which are difficult to eliminate in a single or two-step heat treatment. 10 This diffusionlimited compositional heterogeneity can also lead to local variations in functional properties 11 and in many cases the formation of core-shell structures 12 which may or may not be desirable, depending on the target application. Solid-state synthesis also offers little in the way of size or morphological control in the final product.…”
Section: Introductionmentioning
confidence: 99%